For Agents · MCP

Your task.
The right skill.

The tunnel uses the same cards as the catalogue. Browse only as deep as needed — or load a broad bundle immediately.

No local installationNo M11 loginRead-only

Broad task

Load 5–10 and go

SEO, Sales, Agents or another broad area → one bundle call → work.

MCP endpoint: https://skills.m11.ch/mcp

Read-only access to published skills. Default 8, maximum 10 skills / 120,000 characters.

Task Packs

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.

Marketing Launch

Build an evidence-led marketing plan from ICP and competition through positioning, campaigns, growth and measurement.

Agent Audit Essentials

Diagnose architecture and context, plan agent-team responsibilities, then organize project context and session handoffs. Memory and cost-runtime reviews remain outside this pack.

Conversion and Activation Review

Review the journey from landing page and lead capture through registration, first value and transparent upgrades.

Campaign Content and Brand Review

Plan a campaign, draft its channel content and review the work against actual brand guidance.

Content and Launch Planning

Prioritize an editorial roadmap and plan how to launch and distribute it across suitable channels.

Customer, Market and Community Research

Understand customer needs, compare competitors and plan a community around real member value.

Lead Magnet to Lifecycle Nurture

Choose a relevant lead magnet, then draft a permission-based nurture journey with entry, suppression and exit rules.

API Contract and Observability

Define the API contract, then plan how to observe its latency, failures and retries. Guidance and checklist; no production changes.

Data Analysis Foundation

Profile a dataset, choose and interpret statistical methods, then validate calculations and conclusions before sharing.

Choose an area

01 · Category

What the MCP returns at this step

78 · Marketing · Creative Analysis

Own Ad Creative Diagnosis

Diagnose your own creative patterns using account data, CSV or supplied assets. Use Meta Creative Metrics Analysis for the narrow metric framework.

eigeneanzeigenanalyseown-creative-diagnosis

Own Creative Diagnosis · Original SKILL.md

---
name: own-creative-diagnosis
description: Diagnose why the user's own Meta ad creatives are (or aren't) working using Hook Rate / Hold Rate / CTR scenario analysis, format-specific rules, and pattern recognition across top performers. Use whenever the user asks why a creative isn't performing, wants to know what's working across their winning ads, needs a Pareto/creative teardown of their own account, or is planning variations of a winning ad. Works via GoMarble MCP (preferred), a Meta Ads Manager CSV export, or user-shared screenshots/creative files — degrades gracefully by source.
---

# Own Creative Diagnosis

Diagnoses the user's own ad creative performance: which ads perform strongly and what patterns are worth testing in variations. Adapted from the Meta Ads Creative Analysis framework — the numeric half (Hook/Hold/CTR) works from any complete data source; the qualitative half requires creative content from the MCP creative endpoint or files/descriptions supplied by the user because CSV exports do not contain it.

> **Read-and-recommend only.** Produce analysis and recommendations for the user to review and apply manually; do not execute changes in the ad account.

## When to use this skill

- "Why isn't this ad working?"
- "What's working across my top ads?"
- "Help me plan variations of [winning ad]"
- As the "own creative" input into `winning-pattern-synthesis`, alongside `competitor-ad-intelligence`

## Step 0: Data Inventory

Identify the source before anything else:

| Priority | Source | Notes |
|---|---|---|
| 1 | GoMarble MCP (`facebook_get_adaccount_insights`, `facebook_analyze_ad_creative_by_id_or_url`) | All rules work directly |
| 2 | Ads Manager CSV export | Numeric metrics work if video columns enabled; creative content is NEVER in a CSV — must be shared separately |
| 3 | Screenshots / copy-paste | Spot-checks only |

State what's available and missing in one short line before proceeding. If GoMarble MCP is connected, default to it — never ask the user for a CSV export first, as it exists already.

**Default account:** unless the user specifies otherwise, use their default Meta ad account. In all output, reference campaigns/ad sets/creatives by name only — never surface account IDs or account names.

Set the account's **Primary Conversion Metric (PCM)** before comparing performance: use ROAS for ecommerce and cost per lead/result for lead generation or custom conversion accounts. Treat ROAS as weak when it is below target and cost per result as weak when it is above target; never compare mixed conversion types in one baseline.

Record the PCM target and an explicit, current analysis window before applying an action rule. Use 30 days by default when the user has not requested another period. If either the target or dated window is missing, diagnose the creative but do not recommend pausing it.

## Step 1: Establish the high-spend review set

Sort ads by spend descending and include rows until cumulative spend first reaches or exceeds 90% of total, including the row that crosses the threshold. This is the **high-spend review set**, not a top-performer set; performance is assessed in the following steps.

## Step 2: Format-agnostic first pass

Apply to every ad in the high-spend review set:

| Profile | Diagnosis | Action |
|---|---|---|
| High CPM (≥30% above review-set avg) + weak PCM (ROAS ≥30% below target or cost per result ≥30% above target) | Expensive delivery with weak conversion efficiency | Apply the pause evidence gate below; otherwise watch |
| Low CTR (≥30% below review-set avg) + weak PCM | Weak click-through and conversion efficiency | Check comments and offer/landing-page alignment; recommend a stronger-CTA test |
| Good metrics (within 20% of avg, PCM meeting or beating target) | Working | Candidate for variation — carry into Step 4 |

**Pause evidence gate:** never recommend pausing an ad younger than 7 days or the highest-converting ad in its ad set. For an ad with conversions, require at least 3 ad-level conversions in the analysis window before using weak PCM as pause evidence. For an ad with zero conversions, require spend above 2× the target cost per result (or 2× a known break-even acquisition cost for ROAS accounts). If the applicable threshold cannot be computed, classify the ad as **WATCH**.

## Step 3: Video-specific diagnostic scenarios

For video ads, classify using Hook Rate / Hold Rate / CTR:

- **Hook Rate (%)** = 3-second views ÷ video plays × 100. Good ≥40%, average ≥26% and <40%, poor <26%.
- **Hold Rate (%)** = ThruPlays ÷ 3-second views × 100, benchmarked against a 90-day account average. Poor is below the baseline, average is from the baseline to <1.25× baseline, and good is ≥1.25× baseline (a relative 25% lift, not 25 percentage points).
- **CTR (%)**: good ≥1.25%, average ≥0.65% and <1.25%, poor <0.65%.

Compare unrounded values and round only for display. If a denominator is zero or missing, mark the metric unavailable instead of classifying it.

| Scenario | Hook | Hold | CTR | Working hypothesis | Next test |
|---|---|---|---|---|---|
| 1 | ≥40% | Poor | Avg | The opening attracts attention, but the post-hook content may not deliver the promise | Keep the hook; test showing the product sooner, quicker pacing, and a clearer tie to the hook's promise |
| 2 | 26–<40% | Avg | Avg | No single stage is clearly strong; the opening is the first testable constraint | Test a more relevant or direct visual/text opener, then reassess hold |
| 3 | <26% | Any | Any | The opening may not stop the scroll for this audience or placement | Compare with high-spend strong performers and test a different visual open, overlay, audio treatment, or question-versus-statement |
| 4 | ≥40% | ≥1.25× avg | <0.65% | Attention and retention are strong, while CTA, offer, or landing-page alignment may constrain clicks | Check comments and landing-page alignment; then test a clearer, more prominent CTA |

These scenarios localize where performance may weaken; they do not prove a root cause. Treat the diagnosis as a hypothesis and check audience, placement, offer, delivery, and landing-page differences before presenting a causal explanation.

## Step 4: Format-specific rules

- **Single image**: same high-CPM/low-CTR pause logic as Step 2; good metrics → variation candidate
- **Single video**: apply Step 3 scenarios
- **Catalog/Advantage+ ads**: Meta doesn't provide per-product conversion data — use spend+CTR to build a high-spend product review set. High CPM+weak PCM → test a different product set or remove products pushing CPM up. Low CTR+weak PCM → identify and remove low-CTR products.

## Step 5: Pattern recognition across strong performers

Across the high-spend set's good-performing ads, extract and log the actual creative content. Use `facebook_analyze_ad_creative_by_id_or_url` when MCP is connected; otherwise ask the user for video/image files or descriptions because CSV exports do not include the creative:

- Common angle (which selling points repeat)
- Common format (video vs image vs carousel)
- Common hook mechanism
- Common copy structure/tone/length

This output is the direct input to `winning-pattern-synthesis`.

## Guardrails

- Never recommend pausing the ad with the highest conversion volume in its ad set, regardless of budget share — that's the algorithm working correctly.
- Before judging an ad set's efficiency trend, require 3–5 conversions/week; the zero-conversion pause exception instead uses the explicit spend gate in Step 2.
- Apply the ad-level pause evidence gate in Step 2; the ad-set minimum does not substitute for ad-level evidence.
- Budget/scale recommendations are out of scope for this skill — it diagnoses creative, not delivery mechanics.
- Never invent Hook/Hold/CTR numbers if the data isn't available — state what's missing and ask for it, or proceed on qualitative creative review only and say so.
- Do not execute pause, edit, or launch actions; recommendations are for manual user review and application.

## Output Format

```
### Creative Diagnosis: [Account/Campaign scope]

High-spend review set: [N ads, cumulative spend first reaches/exceeds 90%]

Per-ad diagnosis:
| Ad | Hook | Hold | CTR | PCM | Scenario | Verdict |
|---|---|---|---|---|---|---|

Performance patterns (shared across strong performers):
- Angle: ...
- Hook: ...
- Format: ...
- Copy: ...

Recommendations:
1. [ad-specific fix, with metric justification]
2. ...
```

When to use

Diagnose your own creative patterns using account data, CSV or supplied assets. Use Meta Creative Metrics Analysis for the narrow metric framework.

What you get

The complete original GoMarble guidance, with source attribution and declared limits.

How it works

Clarify scope, use available evidence, and apply the relevant source workflow within actual user authorization.

Requirements

Own creatives, format, funnel stage and comparable hook/hold/CTR/conversion evidence.

Delivery and review notes

Creative patterns are observational, not causal findings; screenshots and CSVs may omit context, coverage or attribution details. 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.

Starting prompt

Use Own Ad Creative Diagnosis for [TASK]. Clarify Own creatives, format, funnel stage and comparable hook/hold/CTR/conversion evidence. Separate observed evidence from heuristics and recommendations. Check actual connector availability and approval semantics before any external action.

Not for

Claiming installed GoMarble tools, proven campaign outcomes or authorization to launch ads merely from loading this source.

What M11 added

German routing and explicit scope. Original attribution: GoMarble. Creative patterns are observational, not causal findings; screenshots and CSVs may omit context, coverage or attribution details. 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.

Original authorship remains with gomarble-ai/marketing-agent · Original source ↗

Original license & copyright

MIT License

Copyright (c) 2026 GoMarble

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.

Source SHA-256: f2c6d6d81d2700b07524982c48b7820427d2e800d2ff88f60abb58e98c8d0b68
Snapshot checked: 2026-09-28T16:19:52.867Z

Find a skill.Get to work.

All skills

Multi-Agent Orchestration

AI Context Window Audit

AI Agent Architecture Audit

AI Skill Discovery

Lead Magnet Strategy

Ideal Customer Profile

Go-to-Market Strategy

Marketing Campaign Ideas

Product Growth Loops

Competitor Analysis

North Star Metric

Product Positioning

Product Vision

Go-to-Market Motion Selection

Customer Feedback and JTBD Analysis

PESTLE Market Environment Analysis

Customer Journey Mapping

Ansoff Growth Options

Data Analysis Validation

Dataset Profiling

Statistical Analysis Guidance

Programmatic SEO Planning

Landing Page and Form Conversion Review

Paywall and Upgrade Planning

Signup and Registration Review

User Onboarding and Activation

Popup and Modal Planning

Email Sequence Copy and Flow

Marketing Campaign Planning

Marketing Content Drafting

Brand Voice and Content Review

Marketing Performance Reporting

Sales Company Research

Company and Contact Enrichment

Website Information Architecture

Content Strategy and Editorial Roadmap

Product Launch Planning

Customer Research and Voice of Customer

Community Growth and Member Experience

Competitor Research Profiles

Roadmap and Release Communication

Lifecycle Email Sequences

API Contracts and Interface Design

Observability and Instrumentation Planning

Agent Context and Session Handoff

Product Discovery Sprint

Deal Quality Scoring

Enrichment Waterfall Design

Customer Retention Playbook

Sales Coaching Practice

Revenue Cohort Analysis

Intent Signal Scoring

Customer Identity Matching

Segment Activation Planning

Sales Call Review

Retention Dashboard Design

Sales Coaching Competencies

Offer Delivery Design

Offer Value Communication

Service Productization

Conversion Hypothesis Prioritization

Braze Engagement Guidance

Brand Voice Guide Design

Content Pipeline Orchestration

Website Brand Profile

Buyer Objection Clarification

Klaviyo Integration Guidance

Offer Bonus Planning

Klaviyo Marketing Review

Cross-Platform Advertising Review

Expertise Business Model

LinkedIn Advertising Guidance

TikTok Advertising Guidance

Evidence Research Brief

Cinematic Video Prompts

Visual Prompt Model Adaptation

Visual Prompt Diagnostics

Short Film Development

Find a skill.
Get to work.