Marketing Foundation
Compact two-skill starter: clarify positioning and choose a lead magnet. Use Marketing Launch for the broader eight-skill go-to-market workflow.
Useful AI skills from strong open sources, cleaned up for discovery, task fit and direct use.
Coordinates multi-agent work with clear owners, work items, evidence, and merge gates.
Audits Claude Code context overhead and recommends ways to reduce unnecessary loaded content.
Diagnoses agent-system failures across prompts, memory, tools, wrappers, and output delivery.
Searches local and external skill sources for existing matches before a new skill is created.
Plans lead magnets around audience needs, buyer stage, capture approach, distribution, and measurement.
Turn existing customer evidence into a target-customer profile and segment criteria. Use customer-research-synthesis to collect evidence or customer-feedback-analysis to analyze a feedback dataset.
Turn a chosen audience and acquisition approach into a launch plan with channels, messages and milestones. Use go-to-market-motions when the acquisition model is still undecided.
Generate and compare five campaign concepts before choosing one. Use marketing-campaign-planning to organize execution of the selected idea.
Evaluates product-led growth loops and outlines measurable experiments for sharing, collaboration and referrals.
Choose for strategic comparison and differentiation from competitor evidence. Use competitor-research-profiles to first build detailed URL-based dossiers.
Defines one customer-value metric and supporting input metrics with clear measurement assumptions.
Develops differentiated product positioning ideas with audience fit, rationale, and supporting messages.
Draft and compare product vision statements grounded in company values and customer needs.
Choose an acquisition or sales motion suited to your economics and buying process. Use go-to-market-strategy to turn that choice into a launch plan.
Analyze an existing feedback dataset for themes, sentiment and improvement priorities. Use customer-research-synthesis to design new research and ideal-customer-profile to define the target customer.
Map external political, economic, social, technological, legal and environmental factors for a business decision.
Map customer touchpoints and friction from awareness through advocacy.
Compare growth options across existing and new products and markets.
Review methodology, calculations and conclusions before sharing an analysis.
Profile a dataset and identify quality issues and useful follow-up analyses.
Choose descriptive statistics and hypothesis tests while making assumptions and uncertainty explicit.
Plan useful SEO pages at scale with a data strategy, templates and twelve complete playbooks.
Review marketing pages and forms, prioritize friction fixes and design measurable experiments.
Plan transparent in-product upgrade prompts and experiments after users experience value.
Review account creation and trial signup friction while preserving necessary security and consent controls.
Plan the first useful product experience, activation milestones and measurable onboarding experiments.
Design dismissible, accessible conversion overlays with honest offers and measurable frequency rules.
Write full email drafts, subject variants and a branching flow diagram. Choose Lifecycle Email Sequences for broader lifecycle planning with ten supporting references and provider guides.
Turn a selected campaign concept into a brief, calendar, dependencies and measurement plan. Use marketing-campaign-ideas when you still need concepts.
Draft channel-specific marketing content using clear structures, evidence and calls to action.
Review drafts against supplied brand guidance and propose specific, prioritized revisions.
Turn supplied campaign or channel metrics into a traceable report with comparisons and testable recommendations.
Research one company or partner for a sourced B2B sales brief and outreach hypothesis. Use company-contact-enrichment to fill fields across lead or contact records.
Resolve and enrich B2B lead, company and contact records with field-level evidence. Use sales-company-research for a narrative account brief and outreach hypothesis.
Plan page hierarchy, navigation, stable URL patterns and useful internal links for a website.
Prioritize content pillars, audience questions and distribution plans using evidence and available resources.
Plan a scoped product or feature launch across preparation, release and post-launch adoption.
Design customer research or combine interviews, surveys and public evidence into needs and personas. Use customer-feedback-analysis for a supplied feedback dataset; ideal-customer-profile for ICP definition.
Plan a community around member value, participation and measurable business goals.
Choose to collect dated competitor dossiers from URLs, pricing pages and SEO evidence. Use competitor-analysis for the strategic comparison afterward.
Turn approved roadmap and release facts into audience-specific updates, release notes and changelogs.
Plan coordinated welcome, nurture and retention journeys with ten supporting references, including provider guides. Choose Email Sequence Copy and Flow for a focused copy-and-flow drafting workflow.
Define API contracts, pagination, error semantics and safe retry behavior; choose this for interface design, then Observability for evidence of runtime behavior.
Plan logs, metrics, traces and actionable runbooks for an existing service; use API Contracts first when the missing piece is interface behavior rather than runtime evidence.
Prepare project context, rules and restartable session handoffs; choose this for organizing context, and AI Context Window Audit for diagnosing existing overhead.
Turn customer evidence into prioritized assumptions, experiments and proceed/pivot/stop decisions. Choose Customer Research and Synthesis when the evidence itself still needs synthesis.
Design a deal-inspection scorecard with evidence, thresholds and override rules.
Design provider order, fallback paths and cost limits for an enrichment workflow. Use Company and Contact Enrichment for a specific research request.
Turn observed churn signals into owner-assigned retention plays and measurement plans.
Turn an identified sales coaching gap into short practice drills and follow-up criteria. Use Sales Coaching Competencies to define the rubric first.
Define comparable revenue cohorts, metrics and diagnostic views. Use Statistical Analysis Guidance for inference methods.
Design a transparent account-intent score with decay, tiers and review rules.
Specify accountable matching and conflict-resolution rules across customer data sources.
Map existing customer segments to cross-team actions, owners and measurable outcomes. Use User Onboarding and Activation for the individual first-value journey.
Review an authorized sales-call transcript with an observable rubric and evidence-linked coaching actions.
Specify retention metrics, cohort views and alert logic for a BI dashboard. Use Customer Retention Playbook for the intervention plan.
Define observable sales competencies and calibrated coaching rubrics. Use Sales Coaching Practice for follow-up exercises.
Compare done-for-you, guided and self-service delivery for an existing offer. Use Service Productization for repeatable packages and tiers.
Improve how an existing offer communicates its value through naming, structure and evidence-backed comparisons. Use Product Positioning for market differentiation.
Turn repeatable service work into defined packages, an offer ladder and optional upgrade paths. Use Offer Delivery Design when only the fulfillment format is undecided.
Turn observed page/funnel friction into an evidence-ranked experiment backlog. Use Landing Page Conversion Review for a focused page critique.
Original Braze Canvas, segmentation and lifecycle guidance with declared reference limitations.
Create voice attributes, a tone matrix and channel guidance. Use Brand Voice Content Review to check an existing draft against established rules.
Original workflow for chaining research, editorial review and social-pack agents.
Original website-to-brand-profile workflow; extracted observations must stay separate from inferred brand rules.
Map expressed buyer concerns to factual answers, supporting evidence and improvements to the offer.
Original Klaviyo developer guide; SDK scripts, API contracts and version claims are not functionally verified.
Design relevant offer extras that address concrete customer needs and disclose their actual conditions.
Original Klaviyo marketing review workflow with explicit data-access and dependency warnings.
Original multi-platform ad-audit orchestration; required platform packages and scoring files are not included.
Compare ways to monetize expertise against demand, capacity and goals. Use Service Productization to package a service already chosen.
Original LinkedIn advertising guide with explicit warnings for obsolete audience features and unverified benchmarks.
Original TikTok campaign, creative and measurement guide; platform details and benchmarks are unverified.
Synthesize topic sources into a cited brief with evidence, uncertainty and content angles. Use Customer Research and Synthesis for interviews and customer feedback.
Write timed cinematic video prompts with motion, camera and continuity cues.
Adapt a visual brief to model-specific syntax while flagging unknown capabilities.
Diagnose a failed image/video result and propose controlled prompt revisions.
Develop a short-film idea into a logline, treatment, scene list and revision plan.
Write cinematic still-image prompts with composition, lighting and identity anchors.
Track recurring characters, locations, props and changing scene state.
Write or revise filmable scenes, dialogue, beats and Fountain-style excerpts.
Translate a scene into shots, camera setups, assets and continuity notes.
Translate tone and genre into reusable camera, lighting and visual-style rules.
Use product/business data to frame a decision with evidence and tradeoffs. Use Metric Change Diagnostics to explain a movement first.
Define KPI formulas, targets, drivers and guardrails. Use North Star Metric for the narrower primary-value metric choice.
Investigate metric movements or discrepancies before choosing a business response.
Original workflow for marketing prompt evaluation, version history and governance.
Plan personas, journeys and usability research. Use Customer Research and Synthesis for evidence synthesis alone.
Original A/B testing and experimentation workflow with explicit statistical corrections.
Original schema.org implementation guidance with rich-result freshness limitations.
Original pricing, tiers and willingness-to-pay workflow. Use Expertise Business Model for the overall monetization structure.
Plan referral incentives, affiliate terms and measurement from the original framework.
Original multi-property Search Console comparison workflow with coverage caveats.
Original keyword-difficulty scoring workflow using competitor metrics and observed AI citations.
Plan discoverability and citations in AI search. Use Search Console Portfolio Review for measured property comparisons.
Review technical and on-page SEO issues using the original audit workflow.
Analyze industry rivalry, entry, substitutes and buyer/supplier bargaining power. Use Competitor Analysis for individual competitor comparisons.
Select a focused initial market segment before expanding. Use GTM Motion Selection for the selling model.
Extract reusable warehouse schema, dialect and business context for later analysis.
Plan ad variants, review criteria and production handoffs from the original workflow.
Plan employee change communications, sequencing and feedback loops.
Map process stages, queues and candidate bottlenecks from operational evidence.
Frame capacity, queueing and staffing scenarios with declared assumptions.
Review spend, renewals and supplier consolidation opportunities.
Identify candidate topic and keyword gaps between comparable websites.
Use the original Semrush workflow to frame competitive search research.
Use the original Ahrefs workflow for backlinks, keywords and competitor research.
Research keyword opportunities, intent and candidate content priorities.
Ground implementation decisions in resolved dependency versions and source documentation.
Plan browser debugging and test observations using a separately available DevTools MCP.
Frame application threats and defensive hardening work from the original checklist.
Plan enterprise project portfolios, risk registers and resource discussions.
Review a marketing page by value proposition, CTA, trust and friction. Use Conversion Hypothesis Prioritization for selecting among experiments.
Structure a SaaS health report from revenue, churn and acquisition inputs.
Frame acquisition rationale, diligence, negotiation questions and integration.
Frame data architecture, training-data rights, asset value and hiring decisions.
Compare foreign markets, entry modes, localization and operating requirements. Use Beachhead Market Selection for choosing an initial narrow segment.
Frame sprint forecasts, retrospective actions and team-health discussions.
Plan B2B SaaS acquisition channels, funnel handoffs and measurement. Use Cross-Platform Advertising Review for comparing existing channel results.
Review account-creation steps, field friction and post-submit experience. Use User Onboarding Activation for activation after registration.
Structure a board or investor narrative around metrics, variance and decisions.
Review service-area business profiles, location content, NAP and local schema.
Frame a security program, risk register, incident coordination and board reporting. Use Application Hardening Guidance for application-level defenses.
Assess task difficulty and execution quality using a two-axis rubric.
Choose a pricing model, willingness-to-pay range and packaging tiers. Use Pricing and Packaging Guidance for the broader marketing workflow.
Audit content structure and citation signals. Use AI Search Visibility Planning for broader visibility strategy.
Build pipeline, bookings and cohort revenue scenarios with explicit assumptions.
Translate company values into observable behavior, rituals and review questions.
Compare fully loaded direct and partner channel economics and allocation scenarios.
Structure independent executive perspectives, critique and human decision review.
Review cross-functional organizational health and identify follow-up questions.
Frame partner tiers, joint go-to-market commitments and revenue-share economics.
Choose among the upstream marketing workflows and coordinate their handoffs.
Review paywalls, feature gates and in-product upgrade moments. Use Marketing Page Conversion Review for public pricing pages.
Plan a useful free calculator, generator or checker as a marketing asset. Use Lead Magnet Strategy for downloadable content.
Route an executive question to appropriate advisor perspectives and synthesize decisions.
Design discount bands, approval thresholds and exception rules. Use Deal Review Routing for applying an existing policy to one deal.
Organize contract, IP and regulatory questions for qualified counsel.
Plan TAM/SAM/SOM estimates, survey sampling and segment evaluation.
Explore interacting business shocks and cross-functional responses.
Review lead, contact or demo forms. Use Registration Flow Review for account creation.
Alternative popup framework from the Alireza collection. Use Popup Modal Planning for the existing M11 workflow with bundled references; this source variant has no reference package.
Organize named human review and structured feedback before a requested sign-off.
Frame model build-versus-buy, AI economics, governance questions and staffing.
Map bid requirements to evidence, gaps and win themes before a bid decision.
Choose research methods and organize evidence into an insight repository. Use UX Research and Journey Design for persona/journey artifacts.
Frame cash, unit economics, fundraising and board financial questions. Use SaaS Metrics Coaching for a focused metric health report.
Apply existing commercial policy to a specific deal and route exceptions to named humans.
Plan independent model critiques of a memo while preserving disagreements.
Manage stored prompt versions and lifecycle in Google Agent Platform, including explicit confirmation before deletion.
Review Google Cloud costs using the Well-Architected Framework; WAF here does not mean a web application firewall.
Analyze BigQuery job and reservation telemetry to compare slot capacity and cost options.
Plan lifecycle operations for stateful managed Agent resources. Use Google Agent Prompt Management for stored prompts only.
Replay historical access against proposed IAM v1 allow policies before a separately approved change.
Design synthetic evaluation datasets, judge-based evaluation and iterative agent improvement on Google Cloud.
Plan Google Data Manager event and conversion ingestion. Use Google Audience Ingestion for audience membership.
Configure GA accounts, properties, streams and integrations. Use Google Analytics Reporting for querying performance data.
Plan adding, removing or replacing Google Customer Match audience members. Use Google Conversion and Event Ingestion for events.
Set up client libraries and authentication for Google Data Manager; audience and event payloads use the dedicated ingestion skills.
Select BigQuery SQL AI/ML capabilities for forecasting, anomaly detection, vectors and generative analysis.
Set up Google Ads API access and a campaign retrieval example; use Google Ads Account Diagnostics once access works.
Inspect Google Agent Platform RAG corpora and retrieve grounded context; not a general database or Workspace RAG workflow.
Design ingress and egress controls using Agent Gateway, Model Armor, IAP and registries.
Gather requirements and design Google Cloud agent deployment instructions. Use Google Cloud Solution Architecture for non-agent systems.
Query Google Analytics reporting data through the Data API. Use Google Analytics Admin Configuration for account/property settings.
Inspect downstream BigQuery lineage before a proposed asset change. Use Google Data Lineage Summary for general lineage orientation.
Design a Google Cloud agentic data-science workflow spanning analysis, models and deployment planning.
Plan Terraform and telemetry-based alerts for agent reliability and supported quality signals.
Design cross-product Google Cloud solutions and review deployment plans; use Multi-Agent Deployment Design for agent-specific systems.
Summarize available BigQuery and GCS lineage; use BigQuery Lineage Impact Analysis for downstream change impact.
Browse and manage Google Agent Platform skill registry revisions; this is separate from the M11 catalog.
Plan model-category-specific tuning, dataset preparation and jobs on Google Agent Platform.
Investigate Google Ads conversion loss, impression share and bid/budget constraints; use API Quickstart for initial access.
Collect competitor ad samples and separate long-running from recently repeated creatives. Use Competitor Ad Intelligence for a cross-brand report.
Check GA4 metric definitions, channel totals, intraday completeness and attribution differences before reporting results.
Plan Google Ads experiments using the GoMarble proposal workflow; use Growth Experiment Design for broader experiment strategy.
Analyze Meta account performance, baselines and active-entity metrics. Use Meta Ads Deep Analysis for the wider audit framework.
Check Google Ads recommendations against valid budget controls, metric choice and source scaling rules.
Coordinate the full GoMarble competitor-to-production-brief workflow. Use the individual collection, diagnosis or brief skills for one step.
Review Meta recommendations against budget controls, conversion type, learning-stage and evidence requirements.
Combine competitor, own-creative and hook evidence into test directions; this synthesizes existing research rather than collecting new data.
Plan GoMarble tool parameters for Search bids, budgets, negatives and query isolation. Use Search Campaign Analysis to diagnose first.
Generate or critique hooks using the source psychological framework; does not require account data or execute ads.
Prepare Meta ad-set targeting, attribution and bids under a verified parent campaign. Use Meta Campaign Planning for campaign-level settings.
Plan updates to existing Meta campaigns, ad sets and ads; use Meta Ads Creation Workflow for new structures.
Plan PMax scaling after maturity and performance evaluation; use Google PMax Evaluation before choosing changes.
Diagnose your own creative patterns using account data, CSV or supplied assets. Use Meta Creative Metrics Analysis for the narrow metric framework.
Apply the source video/image/catalog diagnostic framework to Meta creative metrics; use Own Ad Creative Diagnosis for a broader asset teardown.
Structure a Meta audit across hierarchy, breakdowns, time and attribution; use Meta Account Performance Analysis for account baselines.
Plan paid-search keyword discovery and match-type choices using GoMarble's Keyword Planner workflow; not organic SEO research.
Review Shopping feed health and product-level decisions before campaign changes; not PMax optimization.
Prepare Meta ads with single-image/video or catalog creatives under an existing ad set. Use Ad Brief Production for creator instructions.
Route Google Ads create/update tasks through the GoMarble proposal and approval workflow; use API Quickstart for SDK setup.
Reconcile Shopify order reports with dashboard totals using dates, refunds, currencies and financial-status scope.
Classify Search queries and diagnose CPC, rank and budget pressure; use Search Campaign Change Planning for proposed mutations.
Plan shared Google Ads negative lists and campaign attachments, distinguishing campaign IDs from shared-set link IDs.
Summarize sampled competitor ads into cross-brand patterns and whitespace. Use Competitor Ad Collection for detailed cohort collection.
Organize an eight-dimension GoMarble Google Ads audit; use Google Ads Account Diagnostics for the Google-authored issue workflow.
Prepare Meta campaign objectives, ABO/CBO budgets and special-ad categories. Use Meta Ad Set Planning for targeting and attribution.
Coordinate Meta campaign, ad-set and creative creation with separate approval to enable new ads.
Turn a chosen evidence-backed creative direction into a creator brief, hook, shot list, voiceover and CTA.
Plan device, location and audience bid modifiers using the source mutation workflow; not campaign-budget allocation.
Evaluate PMax maturity, comparative performance and asset labels before scaling. Use Google PMax Scaling Plan after this diagnosis.
Organize creator rates, rights, exclusivity and history through the source registry protocol. Use Influencer Fit Assessment for shortlist scoring.
Maintain dated social-platform format and policy notes, separating official documentation from folklore; not channel selection.
Compare ranking snapshots and SERP-position changes over time. Use SERP Intent and Feature Analysis for a single-query layout review.
Distinguish creative fatigue from audience saturation using frequency and CTR/CVR trends; use Own Ad Creative Diagnosis for individual asset analysis.
Plan brand-mention sweeps, baselines and triage with explicit source coverage. Use Launch Window Monitoring for launch-specific telemetry.
Compare launch outcomes with preregistered channel targets and derive keep/change/stop recommendations.
Turn already approved proof into reusable stat cards, case snippets and testimonials; does not substantiate missing claims.
Assess creator suitability separately from campaign-specific commercial fit. Use Creator Record Governance for factual rates and rights history.
Plan conversion-event, UTM, deduplication and attribution-window checks. Use Conversion Value Mapping for value rather than firing logic.
Build a launch-day runbook with owners, observation windows and rollback criteria; requires the source readiness and date evidence.
Triage comments and DMs and draft ranked human-posted replies, escalation and UGC permission requests.
Review Shopping/PMax product attributes, disapprovals and truthful title improvements. Use Google Shopping Optimization for campaign performance decisions.
Define conversion values, margin adjustments and proxy-value assumptions before value-based bidding. Use Conversion Signal Review to check firing first.
Choose bidding strategy, initial targets and learning-phase plan; use Google Ads Bid Modifier Planning for specific modifier operations.
Draft media tiers, embargo pitches and factual press-release structure; no outreach is sent.
Plan substantive follow-up moments and assess whether an update warrants a relaunch; not paid amplification execution.
Organize canonical entity identity, sameAs and machine-facing facts. Use Narrative Canon Governance for human-facing brand wording.
Plan severity, human pause actions, statements and stand-down evidence. Use Launch Day Runbook for incidents inside an active launch.
Map audience or niche-community context into creator selection criteria; use Influencer Fit Assessment for named shortlist scoring.
Plan recurring engagement-decay and suppression-drift reviews; use Consent Record Governance for authoritative opt-in state.
Analyze a query's intent, result layout and feature opportunities. Use SERP Rank Change Tracking for longitudinal position changes.
Maintain versioned brand narrative, message hierarchy and voice facts; this records the canon rather than inventing positioning.
Plan acquisition channels, incentives and opt-in capture evidence. Use Lead Magnet Strategy for selecting a downloadable asset.
Plan a human-led founder engagement routine and relevant trigger responses; no mass messaging or engagement automation.
Plan launch-window ranking and KPI snapshots with source labels. Use Social Mention Triage for ongoing listening outside launches.
Describe pseudonymous opt-in, suppression and erasure event governance; does not install a registry or change an email platform.
Record authoritative launch dates, stages, embargoes and outcomes through the source event protocol; not readiness scoring.
Organize social-channel ownership, cadence, voice and UGC permission facts; not channel selection or permission inference.
Plan Google Ads creation and reporting through HyperFX. Use Google Ads Creation Workflow for the separate GoMarble connector.
Plan Pinterest campaign structures, targeting and reporting through HyperFX with explicit budget-unit handling.
Plan Amazon Sponsored Products targeting, bids, negatives and reporting through HyperFX.
Plan HyperSEO keyword, site and AI-visibility research; use SERP Intent and Feature Analysis for source-independent query interpretation.
Plan Reddit campaign, ad-group and promoted-post workflows through HyperFX; separate archive status from permanent deletion.
Plan Meta campaigns and reports using HyperFX activation tools. Use Meta Ads Creation Workflow for GoMarble's different approval contract.
Plan multi-surface competitor snapshots and diffs with HyperFX. Use Competitor Research Profiles for a source-independent company profile.
Plan one evidence-backed blog post and a persistent strategy document using HyperFX research and CMS integrations.
Prepare LinkedIn text, document or carousel publishing through HyperFX; use Social Selling Routine for human-led engagement planning.
Plan provider-specific lifecycle email operations across HyperFX integrations; use Email Sequence Copy and Flow for copy planning.
Gather and synthesize customer language through HyperFX sources or supplied research. Use Customer Research Synthesis for the existing bundled research workflow.
Research public Meta ad-library samples and optionally business contact information through HyperFX; use Competitor Ad Collection for GoMarble.
Maintain a shared brand-context document from evidence and interviews; use Narrative Canon Governance for formal versioned brand records.
Plan GA4, GTM, Search Console and BigQuery work through HyperFX; use Google Analytics Reporting for the Google-authored Data API guide.
Plan HyperFX prospect research, draft review and reply routing; this source includes sending tools but M11 only loads guidance.
Load HyperFX's third-party OpenAI Ads workflow description; platform/API availability and claimed tool behavior are unverified.
Plan brand-grounded ad copy and image generation through HyperFX; use Ad Brief Production for creator-facing production instructions.
Plan TikTok campaign parameters, video uploads and reporting through HyperFX.
Plan Snapchat campaign, ad-squad and creative operations through HyperFX with paused creation and separate activation review.
Plan transcript-based summaries, video packaging and thumbnails through HyperFX; no video is downloaded or uploaded by loading this guide.
Analyze SQL data models and performance bottlenecks.
Plan support operations, ticket triage and service workflows.
Plan returns, inspection and reverse-logistics workflows.
Organize customs and trade-compliance questions for qualified review.
Plan market and geographic research using public permitted sources.
Set operating boundaries for AI coding agents and their permissions.
Plan retention, dunning and win-back decision paths.
Organize ethical HR workflows, policies and employee-relations questions.
Plan ActiveCampaign contact, tag and automation work through connected tools.
Frame KPI, dashboard and business-analysis work from available evidence.
Review demand, alternatives and risk signals before building a product.
Plan business-continuity analysis and recovery documentation.
Plan public-source lead research through Apify; this does not authorize outreach.
Design agent-memory concepts and evaluation questions.
Plan demand forecasting, safety stock and replenishment decisions.
Organize quality investigations, corrective actions and supplier follow-up.
Plan tracing, token, latency and cost visibility for AI agents.
Draft and review employment-documentation structure for qualified local review.
Plan bounded scheduled agent runs with stop conditions and oversight.
Organize adverse-media and sanctions research while retaining uncertainty and review status.
Plan evaluation datasets, criteria and regression checks for AI agents.
Organize third-party risk-assessment and review workflows.
Plan Odoo accounting configuration and reconciliation work.
Design cloud architecture options and operational constraints.
Plan IT service-management practices and operational governance.
Plan free-tier boundaries, conversion path and abuse controls.
Plan public-source influencer discovery and evaluation; no outreach is sent.
Synthesize customer research and voice-of-customer evidence.
Plan app-store research, listing improvements and performance monitoring.
Plan recurring billing, invoicing and dunning workflows.
Clarifies customer-centered messaging, a one-liner and calls to action using the StoryBrand narrative structure.
Frames pricing and packaging around validated willingness to pay before product scope is committed.
Explores differentiated market opportunities with value innovation, strategy canvases and non-customer perspectives.
Plans a technology product’s path from early adopters toward a focused mainstream beachhead.
Analyzes product engagement loops using triggers, actions, rewards and investment with an explicit ethics lens.
Plans early network formation and growth for marketplaces, collaboration products and other networked services.
Audits strategy as diagnosis, guiding policy and coherent action rather than goals or slogans.
Selects decision-relevant product metrics, counter-metrics and evidence-based measurement plans.
Defines product positioning through competitive alternatives, differentiated attributes and best-fit customer context.
Designs evidence-aware scorecard and assessment funnels for qualified lead discovery and follow-up planning.
Frames customer progress, switching behavior and unmet needs for research and product decisions.
Structures evidence-based conversion research, friction analysis and test planning for websites and funnels.
Prepares customer interviews that focus on past behavior and evidence instead of leading questions.
Plans role-based B2B outbound sales processes, qualification and pipeline measurement.
Develops evidence-aware offers, value articulation, bonuses and ethical risk reversal for a specific audience.
Designs tenant-model and operating-boundary decisions for subscription SaaS products.
Shapes product work into bounded, evidence-aware bets before delivery resources are committed.
Evaluates AI-enabled workflows through outcomes, quality, full costs, uncertainty and accountable governance.
Builds outcome-based roadmaps and portfolio choices with evidence, dependencies and stop criteria.
Designs AI governance structures, decision rights, risk tiers and lifecycle evidence for qualified review.
Defines product decision rights, evidence standards and recurring cross-functional governance cadences.
Compares evidence-backed current and target states to prioritize bounded capability and readiness interventions.
Turns post-launch evidence into bounded continue, improve, pause, pivot or retirement recommendations.
Guides an embedded technical engagement from discovery through adoption and measured outcomes.
Use when deciding whether a process is worth automating, sizing ROI and build-vs-buy, choosing an automation platform, or diagnosing why a fleet of automations keeps breaking — the decision layer before anyone builds. NOT building the flow (that is `automation-flows`, or `n8n` / `make` / `zapier` / `power-automate` to drive a live platform).
Use when building or fixing a no-code automation on n8n, Make, or Zapier — trigger to multi-app steps with data mapping, dedup, retries and an error path — or picking the platform by billing unit (task vs credit vs execution). NOT a typed API client in code (that is api-connector-builder), NOT a webhook receiver in your own app (that is webhooks).
Use when a role is open and you must write the job post, screen inbound candidates, structure the interview loop, or score them to a defensible Hire / On-Hold / No-Hire — including whether an AI résumé filter is legal. NOT after the offer is accepted — onboarding, payroll, performance (that is `people-ops`), NOT offer terms (that is `contracts`).
Use when choosing an embedding model, chunk size, or query form, when semantic search returns irrelevant results, when adding hybrid BM25+vector or a reranker, or when a retrieval change needs a number (recall@k, nDCG, MRR). NOT operating the store — index tuning, quantization (that is `vector-db`) — nor the retrieve-to-answer loop (that is `rag`).
Use when building grounded Q&A over your own corpus — chunk, retrieve hybrid, rerank, ground, cite chunk ids, refuse when the sources fall short — or when the right document is retrieved but the answer is still wrong, invented, or unmeasured. NOT operating the store itself — collection schema, HNSW ef_search, quantization (that is `vector-db`).
Use when an operator runs deals out of a spreadsheet or Notion and wants real stages, win probabilities, deal hygiene, a weekly follow-up sweep, and a defensible roll-up forecast — including the case where the pipeline looks full but nothing closes. NOT statistical or scenario forecast modelling (that is `forecasting`), NOT sourcing prospects (that is `lead-gen`), NOT writing the outbound emails (that is `cold-outreach`), NOT the proposal or quote (that is `proposals`), NOT the post-close kickoff (that is `client-onboarding`).
Use when instrumenting product or web analytics — GA4/PostHog SDK wiring, event taxonomy, funnels, double-counted events, consent gating, PII scrubbing. NOT charting that data (that is dashboard), NOT choosing which metrics matter (that is kpi-framework), NOT experiment math (that is ab-testing), NOT cookie-policy text (that is gdpr-privacy).
Use when text must become a typed, schema-conformant object you can trust — pulling fields into a fixed JSON shape, extracting line items as typed records, classifying into enums, and building the Pydantic or Zod model plus the validate-and-retry loop. Covers extractors that throw parse errors, leak markdown fences, or fabricate a value where the field is absent instead of returning null. NOT getting the text out of a PDF, scan or DOCX first (that is `document-processing`), NOT general prompt craft untied to a schema (that is `prompt-engineering`).
Use when adapting an open-weight model to a target form or behavior — tone, output format, reasoning pattern — via LoRA/QLoRA or full fine-tuning with TRL SFTTrainer, then preference optimization (DPO/ORPO/KTO/GRPO), and for fine-tune vs prompt vs RAG. NOT adding facts to a model (that is rag); NOT the single-GPU Unsloth backend or GGUF export (that is unsloth).
Use when building or restructuring an LLM agent — provider adapter, tool calling, structured output, RAG, agent loop, eval gate, cost routing, tracing, MCP server — model-agnostic across OpenAI/Anthropic/Gemini/OSS so a model swap is a config change. NOT vector-store SQL alone (that is `postgresdb`) or service deployment (that is `deployment`).
Use when an already-running 02-DOCS/ wiki needs gardening judgment — what is worth capturing (default: nothing), where a loose note belongs, whether to split a bloated article or merge near-duplicates, how to link orphans back in, and what retires to _archive (never delete). NOT building or sweeping the wiki engine itself (that is `harness`).
Use when one prompt must give the same right answer across reruns, models, and pasted-in hostile input: forcing a fixed schema, picking the few-shot set, ordering the prompt blocks, or the inline cases you run while tuning. NOT the agent loop, tools, or retrieval (that is `building-agents`), NOT a standing CI eval harness (that is `agent-eval`).
Use when planning or running an equity round as a process: sizing the raise to a milestone, choosing post-money SAFE vs priced round, tiering investors by intro path, sequencing outreach for momentum, or reading a term sheet before signing. NOT the slide narrative (that is `pitch-deck`), NOT the cap-table or valuation math (that is `financial-model`).
Use when a team must decide what to measure before building anything — picking one north-star metric, separating leading input drivers from lagging outputs, adding guardrails so a number cannot be gamed, and setting a target that is not arbitrary. NOT the live dashboard that displays them (that is `dashboard`), NOT instrumenting the events (that is `analytics`), NOT the recurring board report (that is `reporting`).
Use when a support or sales bot on a live website must behave: persona/system prompt, grounding so it cannot invent prices or policy, jailbreak and injection defense, the human handoff, launch metrics and kill switch. NOT the agent loop or RAG index under it (that is `building-agents`), NOT a human answering one ticket (that is `customer-support`).
Coordinates bounded marketing work, ownership, timelines and delivery dependencies for SaaS teams.
Plans governed social, community and creator operations with clear platform, consent and owner boundaries.
Guides evidence-led SaaS SEO strategy, content and technical opportunity planning.
Plans developer marketing and DevRel work across technical audience, content and community context.
Frames self-serve activation, retention and expansion decisions for a SaaS product.
Plans SaaS event and field-marketing work with objectives, measurement and owner boundaries.
Guides account selection, tiering, cross-channel contracts and measurement for ABM programs.
Plans SaaS email and automation operations with deliverability, consent and lifecycle boundaries.
Guides SaaS product marketing, positioning and launch coordination from evidence to reviewable plans.
Guides client-facing marketing operations, quality gates and handoffs for accountable delivery.
Frames partnership and ecosystem decisions for SaaS with scope, evidence and ownership.
Plans communications and analyst-relations work while preserving approval and factual-evidence boundaries.
Builds an evidence-led sales proposal around a client’s stated needs, value and approval path.
Researches a prospect’s competitive context to prepare a factual sales strategy.
Creates a reviewable prospect-pipeline report from supplied, authorized evidence.
Plans follow-up sequences after a sales meeting with consent, timing and value boundaries.
Structures a human-led lead qualification conversation using BANT and MEDDIC evidence.
Prepares a factual, bounded brief for an authorized sales meeting.
Drafts consent-aware, personalized outreach options across channels for human review.
Organizes public company and firmographic evidence for account research.
Prepares evidence-based responses to sales objections for human review and conversation planning.
Maps an account’s decision process and stakeholders from authorized evidence.
Defines a testable sales ICP and account-selection criteria from business evidence.
Analyzes channel and video performance from user-supplied, authorized evidence.
Builds a testable ICP and buyer-persona hypothesis from supplied evidence.
Plans LinkedIn advertising decisions and measurement without configuring campaigns.
Develops a research plan for AI-search and generative-engine queries.
Structures a competitor traffic and authority assessment from authorized evidence.
Plans a community-presence approach with platform, community and human-review boundaries.
Analyzes supplied video-ad creative and produces reviewable improvement hypotheses.
Guides a backlink-profile assessment without accessing external SEO services.
Plans Search Console analysis and operational decisions without OAuth or property changes.
Structures a SERP analysis using user-supplied or authorized research evidence.
Plans a podcast editing workflow without installation, transcription calls or media processing.
Plans brand-mention monitoring and escalation criteria without provider API calls.
No local installation. No M11 login. Connect once. Broad task? Load 5–10 relevant skills and go. Precise task? Narrow through category, topic and tags.
The tunnel uses the same cards as the catalogue. Browse only as deep as needed — or load a broad bundle immediately.
SEO, Sales, Agents or another broad area → one bundle call → work.
Read-only access to published skills. Default 8, maximum 10 skills / 120,000 characters.
Compact two-skill starter: clarify positioning and choose a lead magnet. Use Marketing Launch for the broader eight-skill go-to-market workflow.
Build an evidence-led marketing plan from ICP and competition through positioning, campaigns, growth and measurement.
Diagnose architecture and context, plan agent-team responsibilities, then organize project context and session handoffs. Memory and cost-runtime reviews remain outside this pack.
Review the journey from landing page and lead capture through registration, first value and transparent upgrades.
Plan a campaign, draft its channel content and review the work against actual brand guidance.
Prioritize an editorial roadmap and plan how to launch and distribute it across suitable channels.
Understand customer needs, compare competitors and plan a community around real member value.
Choose a relevant lead magnet, then draft a permission-based nurture journey with entry, suppression and exit rules.
Define the API contract, then plan how to observe its latency, failures and retries. Guidance and checklist; no production changes.
Profile a dataset, choose and interpret statistical methods, then validate calculations and conclusions before sharing.
Define the target account, prioritize buying signals, plan a human LinkedIn engagement routine and prepare evidence-led responses to buyer concerns.
Plans governed social, community and creator operations with clear platform, consent and owner boundaries.
--- name: social-media-ops description: "Comprehensive social media operations for B2B SaaS brand building and engagement. Use this skill to develop LinkedIn strategy, decide whether to run a LinkedIn newsletter and how to scope it, capture consented registrations from LinkedIn Events, check LinkedIn Live eligibility, manage Twitter/X presence, create YouTube content, engage on Reddit communities, build community, develop influencer and creator partnerships, vet a creator before paying them, start or fix a B2B podcast, book podcast guests and guest appearances, judge whether a podcast is worth appearing on when you cannot audit its numbers, write show notes and transcripts, run social listening (what are people saying about us, share of voice, brand monitoring, validated sentiment, alert thresholds, routing signals to the right owner), and execute organic social campaigns. Also triggers on: LinkedIn, LinkedIn newsletter, LinkedIn Events, LinkedIn Live, event registration form, subscribe to our newsletter on LinkedIn, marketing consent checkbox, Notify Employees, Twitter/X, YouTube, Reddit, community, influencer, creator partnerships, influencer vetting, engagement rate, fake followers, engagement pods, FTC disclosure, sponsored post disclosure, media kit, social media strategy, organic social, employee advocacy, podcast, podcast strategy, podcast guesting, how do I know if this podcast has real listeners, the host says they get 50k downloads, is this podcast worth going on, podcast RSS feed research, IAB podcast measurement certification, Listen Score, Apple Podcasts reviews, show notes, audiogram, episode transcript, social media account access, who has admin on our LinkedIn page, the person who ran our social accounts left, locked out of our company account, social media offboarding, YouTube channel owner, Slack primary owner, social account MFA, social media approval workflow, pause all scheduled posts, social listening, what are people saying about us, brand monitoring, brand mentions, share of voice, social share of voice vs competitors, sentiment analysis, is our sentiment dashboard accurate, listening query, boolean query, mention alerts, spike alert, CrowdTangle replacement, Reddit API access, which platforms can our listening tool see, someone on Reddit asked for a tool like ours, comment mining, voice of customer from social." --- # Social Media Operations Skill ## Step 0 (always first): Load brand context **Before producing any deliverable, look for a `brand-context.md` file** in the user's project root (also check `./.claude/brand-context.md` and `./docs/brand-context.md`). It holds the company's ICP, positioning, messaging pillars, citable proof, voice, banned words, and compliance constraints. - **If it exists:** read it in full and treat it as binding for this run. Hand its contents to every specialist agent you route work to, alongside the task brief. Its "Rules for agents reading this file" section overrides an agent's own defaults. - **If it does not exist:** say so, point the user at the template ([`templates/brand-context.md`](../../templates/brand-context.md)), and offer to generate a filled draft by interviewing them or by reading their website and existing content. Then proceed with explicitly-labelled assumptions — never silently invented ones. **Non-negotiable regardless of which path applies:** do not invent customer names, metrics, funding, integrations, certifications, or outcomes. Only proof recorded in `brand-context.md` (or supplied directly in the request) may be used as fact. Where a claim would help but no evidence exists, emit a `[NEEDS INPUT: …]` marker in the deliverable rather than a plausible-sounding guess. --- ## What This Is The Social Media Operations skill coordinates a team of 8 specialist agents to build brand visibility, drive engagement, and establish authority across social platforms. From strategic LinkedIn thought leadership and community building to YouTube content production and influencer partnerships, this team executes across every major social channel. This skill enables you to leverage organic social as a sustainable acquisition and brand-building channel, reducing dependence on paid media. ## The Team: 8 Specialist Agents | # | Agent | File | What They Do | |---|-------|------|-------------| | 1 | LinkedIn Strategist | `agents/social-linkedin-strategist.md` | Develops LinkedIn strategy, creates content calendar, writes thought leadership posts, manages engagement, and builds company and employee presence. Designs the first-hour distribution window, and owns **the subscription surfaces that compound** — whether to run a LinkedIn newsletter and how to scope it (the scope and the subscribers cannot be merged later), LinkedIn Events and the three permissions one Event produces (viewed / registered / marketing-consented), and Live eligibility checked in the planning window rather than launch week. Identifies influencer targets and partnership opportunities. | | 2 | Twitter/X Strategist | `agents/social-twitter-strategist.md` | Manages Twitter/X brand presence, creates daily tweet content, builds industry conversations, engages with communities, and identifies viral opportunities. Handles both brand and executive accounts. | | 3 | YouTube Producer | `agents/social-youtube-producer.md` | Plans YouTube content strategy, creates video scripts, outlines production workflows, manages video SEO, and builds subscriber growth. Handles long-form and short-form video (Shorts). | | 4 | Reddit Specialist | `agents/social-reddit-specialist.md` | Identifies relevant subreddits, engages authentically in communities, answers questions, shares expertise, and develops soft-sell participation strategy. Prevents spamming while building credibility. | | 5 | Community Builder | `agents/social-community-builder.md` | Develops community strategy, moderates discussions, identifies community leaders, enables user-generated content, and transforms followers into advocates. Manages Discord, Slack communities, forums. Also holds **the account estate**: the register of who can post or administer every company social account and community workspace, two people able to reach the top role on every surface, recovery email/phone and MFA held by the company, the social step in every departure (ownership transferred before any account is deleted), and a risk-tiered publishing gate with a tested pause switch. | | 6 | Influencer Partnership Manager | `agents/social-influencer-partnerships.md` | Identifies relevant creators and **verifies their audience before you pay for it** — median engagement rather than the quoted mean, comment substance, inflated or pod-driven engagement, sponsored-post history. Structures and negotiates the deal, operates the FTC disclosure and post-publication monitoring the advertiser is liable for, and tracks partnership performance in pipeline. | | 7 | Podcast & Audio Strategist | `agents/social-podcast-strategist.md` | Decides whether the company should run a show at all, builds the guest list as an account plan, books the guest tour on other people's shows and qualifies each one on public evidence (RSS feed, guest history, review wall, IAB certification, Listen Score) rather than self-reported downloads, produces proofread transcripts and show notes, and holds the rights, consent and FTC disclosure register. Measures pipeline, never downloads. | | 8 | Social Listening Analyst | `agents/social-listening-analyst.md` | Runs social listening as a **measurement instrument, not a mention feed**: a query book where every query passes a precision check before it goes live, a coverage map that states which platforms and private channels the tooling cannot see (and re-checks platform access such as the post-CrowdTangle Meta Content Library and Reddit's Data API approval), automated sentiment validated against a hand-coded sample, social share of voice with its competitor set, source set, unit and window written down, alert thresholds set against each query's own baseline, and a routing table that sends every signal (crisis, competitor, buyer language, public buying intent) to the one agent who acts on it. Detects and routes; never replies or pitches. | ## How to Use ### Routing User Requests **LinkedIn Strategy & Content** - "Build our LinkedIn presence from scratch" → LinkedIn Strategist - "Create a 90-day LinkedIn content calendar" → LinkedIn Strategist - "Develop thought leadership positioning for our CEO" → LinkedIn Strategist - "How do we get our employees sharing company content?" → LinkedIn Strategist (employee advocacy) - "Our LinkedIn engagement is flat—how do we grow?" → LinkedIn Strategist - "Identify LinkedIn influencers in [industry]" → LinkedIn Strategist - "Should we start a LinkedIn newsletter, and what should it cover?" → LinkedIn Strategist (scope it before the first edition — newsletters cannot be merged and subscribers cannot be transferred) - "Set up a LinkedIn Event and capture registrations" → LinkedIn Strategist (the registration form cannot be changed once the Event begins; the webinar *program* itself is `events-field-marketing-strategist`) - "Can we go live on LinkedIn for the launch?" → LinkedIn Strategist (eligibility criteria, checked in the planning window) - "We have LinkedIn Event registrants — can we email them?" → LinkedIn Strategist (only those who ticked the marketing-consent checkbox; routing and CRM mapping with `analytics-marketing-ops-architect`) **Twitter/X Presence & Engagement** - "Build our brand presence on Twitter/X" → Twitter Strategist - "Create daily Twitter content for our executives" → Twitter Strategist - "Develop a Twitter engagement strategy for real-time conversations" → Twitter Strategist - "What should we tweet about trending topics?" → Twitter Strategist - "Analyze Twitter conversations in [industry/topic]" → Twitter Strategist **YouTube Content & Growth** - "Develop a YouTube content strategy for [topic]" → YouTube Producer - "Create scripts for product demo videos" → YouTube Producer - "Build a channel from 0 subscribers to [target]" → YouTube Producer - "Develop YouTube Shorts strategy for short-form content" → YouTube Producer - "Optimize our existing videos for discovery and retention" → YouTube Producer **Reddit & Niche Communities** - "Where should we participate on Reddit?" → Reddit Specialist - "How do we authentically engage in [subreddit]" → Reddit Specialist - "Build credibility and share expertise on Reddit" → Reddit Specialist - "Develop strategy for [industry/product-specific communities]" → Reddit Specialist **Community Building** - "Create a community for our customers/advocates" → Community Builder - "Grow our Discord/Slack community engagement" → Community Builder - "Identify and empower community champions/advocates" → Community Builder - "Develop user-generated content strategy" → Community Builder - "Turn customers into active community members" → Community Builder - "The person who ran our social accounts left — who has access now?" / "we're locked out of our LinkedIn Page" → Community Builder (the account register; LinkedIn, Slack and YouTube each handle a missing owner differently) - "Set up an approval workflow for social posts" / "who can pause every scheduled post?" → Community Builder (risk-tiered publishing gate and pause switch; the pile-on response itself is Twitter Strategist, crisis content `comms-pr-strategist`) **Influencer Partnerships** - "Identify influencers in [industry/niche]" → Influencer Partnership Manager - "Develop partnership strategy with [influencer name]" → Influencer Partnership Manager - "Create influencer marketing campaign" → Influencer Partnership Manager - "Manage ongoing influencer relationships" → Influencer Partnership Manager - "Is this creator's engagement real?" / "vet this influencer before we pay them" → Influencer Partnership Manager (median-vs-mean read, comment grading, engagement pods, 16 CFR § 465.8) - "Do we have to disclose a paid creator post, and who is liable?" → Influencer Partnership Manager (16 CFR § 255.1(d) — the advertiser is, and must monitor compliance) **Podcast & Audio** - "Should we start a podcast?" → Podcast & Audio Strategist (the go/no-go comes first) - "Our podcast stalled after 8 episodes—what went wrong?" → Podcast & Audio Strategist - "Who should we book as guests?" → Podcast & Audio Strategist (guest list as account plan) - "Get me booked on podcasts our buyers listen to" → Podcast & Audio Strategist (guest tour) - "How do we know if this podcast actually has listeners?" / "the host claims 50k downloads — do we believe it?" → Podcast & Audio Strategist (four evidence classes; composition is decided on the public record alone) - "Is this show worth appearing on?" → Podcast & Audio Strategist (the guest history is the read; a paid placement goes to Sponsorship & Syndication Buyer instead) - "Write show notes and clean up this episode transcript" → Podcast & Audio Strategist - "How do we measure whether the podcast is working?" → Podcast & Audio Strategist (never downloads) - "Do we have to disclose that we paid for this guest spot?" → Podcast & Audio Strategist (16 CFR § 255.5), with the legal verdict from Legal Compliance Officer **Social Listening & Share of Voice** - "What are people saying about us?" / "Set up brand monitoring" → Social Listening Analyst (the coverage map comes first: what the tooling can and cannot see) - "What's our share of voice against competitors on social?" → Social Listening Analyst (written denominator; press share of voice stays with PR Strategist) - "Is our sentiment dashboard right?" → Social Listening Analyst (hand-coded validation sample and agreement rate) - "Our mentions spiked—should we worry?" → Social Listening Analyst (baseline-derived thresholds; Tier 1 pages the crisis owner in `comms-pr-strategist`) - "Someone on Reddit is asking for a tool like ours" → Social Listening Analyst routes it; the reply decision belongs to Reddit Specialist - "Mine social comments for how buyers describe the problem" → Social Listening Analyst (verbatim quotes, dated and linked, routed to `pmm-messaging-architect`) **Integrated Social Campaigns** - "Build coordinated social strategy across all channels" → All agents coordinate - "Launch a product launch campaign across social" → All agents contribute - "Scale our organic social presence" → All agents collaborate ### Execution Model **Phase 1: Audit & Strategy** 1. **Platform Audit** - Evaluate current presence on each platform (followers, engagement, posting frequency) - Analyze audience composition and demographics - Identify content gaps vs. competitors - Document current reputation and sentiment 2. **Competitive Benchmarking** - LinkedIn Strategist: Analyze 5-10 competitors' LinkedIn strategies - Twitter Strategist: Benchmark Twitter presence and engagement - YouTube Producer: Audit competitor YouTube channels - Identify what's working, messaging angles, content types 3. **Audience & Persona Definition** - Define primary personas and their social media habits - Map platforms to personas (LinkedIn vs. Twitter vs. Reddit by audience) - Identify where target audience spends time and what content resonates - Assess community opportunities (subreddits, forums, Facebook groups) 4. **Strategic Goals & KPIs** - Brand awareness: Reach, impressions, follower growth - Engagement: Likes, comments, shares, saves per post - Traffic: Clicks to website, landing pages - Conversion: Sign-ups, trials, demos from social links - Reputation: Sentiment, share of voice, thought leadership positioning **Phase 2: Content Strategy & Planning** 1. **LinkedIn Strategy** - LinkedIn Strategist: Develop 90-day content calendar - Content mix: 40% thought leadership, 30% industry insights, 20% company culture, 10% company updates - Pillar topics (monthly themes) and supporting content - Employee advocacy program: Identify and enable employees to share - Engagement playbook: How/when to comment and engage 2. **Twitter/X Strategy** - Twitter Strategist: Define brand voice (witty, authoritative, conversational) - Tweet cadence (2-5 tweets per day) - Content mix: Industry commentary, product updates, humor, retweets/engagement - Identify Twitter conversations and trending topics to monitor - Thread strategy for longer-form content - Executive account strategy (if applicable) 3. **YouTube Strategy** - YouTube Producer: Define channel niche and audience - Content pillars (3-5 main topics) - Upload schedule (1-2x per week minimum for growth) - Mix: Educational, product demos, customer stories, behind-the-scenes - Playlist strategy for organizing content - Community tab strategy for engagement 4. **Reddit & Community Strategy** - Reddit Specialist: Identify 5-10 relevant subreddits - Map which team members will participate - Participation guidelines (authentic, no spam, provide value first) - Community Builder: Develop strategy for owned communities 5. **Influencer Strategy** - Influencer Partnership Manager: Identify 10-20 relevant influencers - Partnership types: Content collaboration, brand ambassadors, paid promotion - Outreach strategy and timeline **Phase 3: Content Production & Launch** 1. **Content Creation** - LinkedIn Strategist: Write 20+ LinkedIn posts for content calendar - Twitter Strategist: Create tweet templates and specific tweets - YouTube Producer: Produce/script video content - Community Builder: Create discussion prompts and community guidelines - Influencer Manager: Coordinate with partners on content 2. **Platform Setup & Optimization** - All strategists: Complete platform bios, links, keywords - LinkedIn: Profile optimization, company page setup - Twitter: Pinned tweet, header image, link in bio - YouTube: Channel branding, playlists, featured content - Community platforms: Moderation setup, guidelines, welcome flows 3. **Posting & Engagement Launch** - LinkedIn Strategist: Begin posting schedule, engage with audience - Twitter Strategist: Activate daily tweet schedule and real-time engagement - YouTube Producer: Upload first batch of videos with proper optimization - Reddit Specialist: Begin authentic participation - Community Builder: Activate owned community, seed initial discussions 4. **Employee Advocacy Program** - LinkedIn Strategist: Recruit 5-10 employees to share content - Provide easy sharing tools and pre-written content - Create company content employees can reshare - Track shares and engagement **Phase 4: Optimization & Growth** 1. **Daily Engagement** - LinkedIn Strategist: Engage with comments, reply to messages - Twitter Strategist: Monitor mentions, respond to conversations - YouTube Producer: Respond to comments, engage with community - Reddit Specialist: Answer questions, provide value, build credibility - Community Builder: Moderate discussions, welcome new members 2. **Content Performance Analysis** - Weekly: Which posts drive most engagement, clicks, conversions - Monthly: Identify high-performing content themes and formats - Test variations: Headlines, posting times, content formats - Adjust calendar based on what's working 3. **Growth Initiatives** - LinkedIn Strategist: Expand employee advocacy, identify LinkedIn collaborations - Twitter Strategist: Launch Twitter Spaces, participate in conversations, build following - YouTube Producer: Optimize video SEO, develop series, collaborate with other creators - Reddit Specialist: Build reputation, answer increasingly complex questions - Community Builder: Recruit community leaders, enable UGC - Influencer Manager: Launch paid collaborations, measure performance 4. **Paid Amplification** - LinkedIn ads to amplify top-performing organic content - Twitter ads for specific campaigns or announcements - YouTube pre-rolls for related videos - Social ads to drive traffic to key content/landing pages ### Specialized Scenarios **Product Launch Across Social** 1. LinkedIn Strategist: Thought leadership positioning, CEO announcement 2. Twitter Strategist: Real-time coverage, live tweets, thread about launch 3. YouTube Producer: Product demo videos, launch celebration 4. Reddit Specialist: Participate in relevant communities, share authentic value 5. Community Builder: Showcase product in owned community, get feedback 6. Influencer Manager: Coordinate influencer announcements and reviews **Thought Leadership Program** 1. LinkedIn Strategist: Develop CEO/executive positioning strategy 2. Twitter Strategist: Create executive Twitter presence 3. YouTube Producer: Executive interviews or commentary videos 4. All agents: Identify thought leadership topics for each platform 5. Influencer Manager: Collaborate with external voices for added credibility **Building from Zero Followers** 1. Audit and align with company objectives and brand 2. Start with consistent content delivery (daily Twitter, 2x/week LinkedIn, 1x/week YouTube) 3. Engage heavily in other accounts and communities (establish credibility) 4. Leverage employee networks to bootstrap initial followers 5. Collaborations with complementary brands/influencers 6. Expect 6-12 months of patient consistent work before significant traction **Managing PR Crisis or Negative Sentiment** 1. Listening: Social Listening Analyst runs the Tier 1 alert and states what the listening can and cannot see; `comms-pr-strategist` owns the response 2. Response strategy: Determine appropriate platforms and tone 3. Coordination: Align messaging across all channels 4. Transparency: Address concerns authentically and quickly 5. Forward narrative: Move conversation toward positive story ## Output Standards ### Quality Requirements **Content Quality** - Writing: Professional, error-free, aligned to brand voice - Authenticity: Real opinions and insights, not overly promotional - Engagement: Questions, CTAs, and invitations to participate - Visual consistency: On-brand imagery, consistent formatting - Timeliness: Posted at optimal times for audience engagement **LinkedIn Standards** - Posts: 5-10 line LinkedIn articles (longer-form) or 1-3 sentence posts (short-form) - Hashtag strategy: 3-5 relevant hashtags per post - Engagement: Comment on 5-10 relevant posts daily - Connection growth: 10-50 relevant connections per week - Monthly engagement rate: 2-5% (comments, likes, shares relative to followers) **Twitter/X Standards** - Tweets: Original daily tweets plus retweets/replies - Brevity: Concise, punchy, under 280 characters (or short threads) - Engagement: Reply to 5-10 relevant tweets daily - Conversations: Participate in trending/relevant topics - Follower growth: 50-200 new followers per month (organic) - Engagement rate: 1-3% (likes, retweets, replies relative to impressions) **YouTube Standards** - Video quality: Professional production (clear audio, proper lighting) - Frequency: 1-2 videos per week minimum for growth - Length: Long-form (10+ minutes for discovery), Shorts (15-60 seconds) - Optimization: Keyword-rich titles, descriptions, tags - Engagement: Respond to comments within 24 hours - Playlist strategy: Organize content for series and related watching - CTAs: Links to website, landing pages, or next content piece - Subscriber growth: 50-200 new subscribers per month (mature channels) **Community Standards** - Authenticity: Honest participation, provide value before any ask - Moderation: Professional tone, remove spam, welcome new members - Participation: 5-10 quality contributions per week per community - Trust building: Answer questions, share expertise, build reputation - Guidelines: Clear community rules and moderation approach - Activity: Regular discussions and engagement from community **Influencer Partnerships** - Authentic fit: Influencer audience aligns with target market - Disclosure: Clear sponsorship/partnership disclosure per FTC guidelines - Content quality: Co-created content meets brand and influencer standards - Performance tracking: Clicks, conversions, sentiment measured - Relationship: Professional communication and mutual respect ### Performance Baselines (B2B SaaS) **LinkedIn Growth** - Company followers: 100-500 per month (depending on company size and industry) - Post engagement rate: 2-5% (likes, comments, shares) - Thought leadership posts: 10-20% engagement rate (higher than promotional) - Employee shares: 3-5x amplification of reach vs. company-only posting - LinkedIn traffic: 10-30% of total organic traffic (mature programs) **Twitter/X Growth** - Followers: 50-200 per month (organic, depends on niche and activity) - Tweet engagement rate: 1-3% (retweets, likes, replies) - Trending topics: 5-10 participations per month - Impressions per tweet: 500-2,000 (varies by follower count and engagement) - Click-through rate: 1-3% to website or landing pages **YouTube Growth** - Subscribers: 50-300 per month (highly variable, depends on niche) - Watch time: 4,000+ hours per year (monetization threshold) - View duration: 40%+ of video length (indicator of quality content) - Click-through rate: 2-5% (on CTAs and links) - Playlist completion rate: 40-60% (series engagement) **Reddit Participation** - Karma accumulation: 1,000-5,000 per month (community-dependent) - Upvotes per comment: 10-50 (depends on relevance and subreddit) - Post participation: 5-10 substantive contributions per week - Community perception: Helpful, authoritative, non-spammy - Soft conversion: 1-5% of engaged Redditors visiting website/free trial **Community Metrics** - Monthly active members: 5-20% of total members - Discussion threads: 2-4 per week - User-generated content: 10-30% of total content - Community sentiment: Positive tone, helpful culture - Retention: 30-50% of members active after 3 months ### Key Metrics by Platform **LinkedIn** - Profile completeness: 100% - Follower growth rate: 10-30% month-over-month - Post engagement rate: 2-5% - Click-through rate to website: 1-2% - Employee advocacy reach: 3-5x company reach **Twitter** - Follower growth: 50-200 per month - Tweet engagement rate: 1-3% - Tweet impressions: 500-2,000 per post - Retweet rate: 5-10% of impressions - Click rate: 1-3% of impressions **YouTube** - Subscriber growth: 50-300 per month - Watch time: 100+ hours per month (baseline) - Average view duration: 40-60% of video length - Click-through rate: 2-5% - Playlist completion: 40-60% **Reddit** - Comment upvotes: 10-50 per contribution - Karma: 1,000-5,000 per month - Perceived credibility: High (based on comment quality) - Referral traffic: 2-5% of total visits ### Handoff & Deliverables **LinkedIn Strategy** - 90-day content calendar with specific post topics - 20+ pre-written LinkedIn posts - Employee advocacy program playbook - Engagement strategy and comment templates - Competitor analysis and positioning recommendations **Twitter Strategy** - Daily tweet templates and content ideas - Tweet calendar for month 1 - Conversation topics and monitoring keywords - Profile optimization (bio, header, pinned tweet) - Twitter Spaces strategy (if applicable) **YouTube Strategy** - Channel branding guidelines and assets - 12+ video scripts/outlines - Video SEO guidelines and keyword research - Upload schedule and playlist strategy - YouTube Shorts strategy **Community Strategy** - Subreddit selection and participation guide - Community guidelines and moderation playbook - 20+ authentic discussion ideas for Reddit - Owned community platform setup and guidelines - Discord/Slack strategy (if applicable) **Influencer Program** - 10-20 identified influencers with research - Outreach email templates - Partnership agreement template - Collaboration content briefs - Performance tracking dashboard **Monthly Social Media Report** - Follower growth by platform - Engagement metrics by platform and content type - Top-performing content analysis - Traffic referral data - Sentiment and brand mention tracking - Recommendations for next month --- **Organic social is a long-term brand and community building investment.** Results compound over 6-12 months with consistent, authentic participation. Budget for regular content creation and genuine engagement, not just broadcasting. Monthly reviews and quarterly strategy adjustments ensure continuous improvement.
Plans governed social, community and creator operations with clear platform, consent and owner boundaries.
The complete original operating guide, source attribution and delivery limits.
Clarify the decision and evidence, apply the guide, then identify owners, approvals and unresolved questions.
Audience, approved channels, consent policy, available assets, constraints and accountable owner.
Original documentation is published under the repository MIT license at the pinned revision. It is planning and operating guidance only. Referenced agents, scripts, systems, accounts, contacts and third-party services are not bundled or installed. Loading this source does not authorize messages, outreach, publishing, account changes, credential use, payment actions, deployment or execution.
Use SaaS Social Media Operations for [TASK]. Establish Audience, approved channels, consent policy, available assets, constraints and accountable owner. Return a bounded, evidence-aware plan with open questions and approval points. Do not claim external execution or current facts without evidence.
Logging into social accounts, posting, contacting people or making partnership commitments.
M11 added German routing, integrity records and action boundaries. Original documentation is published under the repository MIT license at the pinned revision. It is planning and operating guidance only. Referenced agents, scripts, systems, accounts, contacts and third-party services are not bundled or installed. Loading this source does not authorize messages, outreach, publishing, account changes, credential use, payment actions, deployment or execution.
MIT License Copyright (c) 2025 Shivaa Tripathi Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
No local installation · No M11 login
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