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.
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.
Check Google Ads recommendations against valid budget controls, metric choice and source scaling rules.
--- name: google-ads-guardrails description: "Guardrails for Google Ads recommendations and mutations. Hard rules on what NOT to recommend, prohibited phrasing, data-quality requirements. Used internally for any Google Ads optimization or change recommendation." --- # Google Ads Guardrails **READ BEFORE GENERATING ANY RECOMMENDATION.** ## Budget Reallocation Prohibition You CANNOT allocate, shift, increase, reduce, or "optimize" budget for: keywords, search terms, match types, devices (unless bid adjustments in Search), locations (unless bid adjustments or exclusions), audiences (unless bid modifiers), asset groups (PMax has no asset-group budgets). **Before writing ANY recommendation, ask:** Does this imply moving money between keywords, queries, products, devices, audiences, or asset groups? If YES → rewrite using valid controls below. ## Valid Budget Controls | Campaign Type | Valid Controls | |--------------|---------------| | Search / Shopping | Campaign daily budget, bid strategy targets (tCPA/tROAS/max CPC), pause/enable campaigns or ad groups | | Performance Max | Campaign daily budget, bid strategy targets (tCPA/tROAS), pause asset groups or campaign | If a recommendation does not map to one of these controls, it is not actionable. ## Mandatory Rewrites ❌ "Shift budget from keyword A to keyword B" ✅ "Pause keyword A. Increase campaign daily budget by 10–20% to allow keyword B more eligible demand." ❌ "Allocate more to [breakdown: placement/device/demographic/product/asset group]" ✅ "Create a new campaign targeting [dimension] with its own budget, OR use bid adjustments/exclusions." **Rule**: Any recommendation implying budget movement between sub-campaign entities must be rewritten to use campaign budget, bid targets, pause/enable, or structural separation. ## Metric Selection First infer conversion type: - **Ecommerce**: Use ROAS, conversion value, cost per purchase. Never use CPA alone for revenue decisions. - **Lead gen**: Use CPA, cost per lead. Never use ROAS unless offline revenue is imported. - **Unclear**: ASK the user. Do not assume. ## Scaling Limits - Max budget increase: **20% at a time** - Never scale if: CPA > target, ROAS < target, or query/search term hygiene not done - Never scale based on: Impression Share alone, CPC alone, or early data (< 7 days) - Frame scaling as: "Incremental test with downside risk" ## Learning & Stability - Do not stack changes (budget + bids + structure simultaneously) - Do not judge performance on: < 30 conversions (Search), < 50 conversions (PMax/Shopping) - Avoid changes that reset learning unless absolutely required ## Immediate STOP Triggers Halt any recommendation that attempts: - "Scale keywords / products / asset groups" - "Reallocate spend between queries" - "Optimize placements in PMax" - "Increase bids and budget at the same time" - "Scale > 20% in one step" - "Fix low IS by increasing budget blindly" ## Required Diagnostics Before Any Action Before any scale/pause/restructure suggestion, check: 1. Search term quality (Q4/Q5 presence) 2. CPA/ROAS vs target 3. IS Lost (Rank vs Budget breakdown) 4. CPC trend direction 5. Conversion volume sufficiency 6. Bidding strategy compatibility If diagnostics are incomplete → say **insufficient data**, do not recommend.
Check Google Ads recommendations against valid budget controls, metric choice and source scaling rules.
The complete original GoMarble guidance, with source attribution and declared limits.
Clarify scope, use available evidence, and apply the relevant source workflow within actual user authorization.
Campaign type, actual controls, conversion type, targets and supporting account evidence.
The source thresholds and 20% scaling rule are heuristics, not performance guarantees; validate current platform controls. GoMarble connectors, referenced sibling skills and runtime dependencies are not bundled or installed by M11. Brief obvious-danger screening only; no functional test or comprehensive safety certification. Loading this text authorizes no external calls, account mutations or ad spend.
Use Google Ads Optimization Guardrails for [TASK]. Clarify Campaign type, actual controls, conversion type, targets and supporting account evidence. Separate observed evidence from heuristics and recommendations. Check actual connector availability and approval semantics before any external action.
Claiming installed GoMarble tools, proven campaign outcomes or authorization to launch ads merely from loading this source.
German routing and explicit scope. Original attribution: GoMarble. The source thresholds and 20% scaling rule are heuristics, not performance guarantees; validate current platform controls. GoMarble connectors, referenced sibling skills and runtime dependencies are not bundled or installed by M11. Brief obvious-danger screening only; no functional test or comprehensive safety certification. Loading this text authorizes no external calls, account mutations or ad spend.
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