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ads-meta▌

agricidaniel/claude-ads · updated Apr 8, 2026

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$npx skills add https://github.com/agricidaniel/claude-ads --skill ads-meta
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summary

If Advantage+ features are in use:

skill.md

Meta Ads Deep Analysis

Process

  1. Collect Meta Ads data (Ads Manager export, Events Manager screenshot, EMQ scores)
  2. Read ads/references/meta-audit.md for full 46-check audit
  3. Read ads/references/benchmarks.md for Meta-specific benchmarks
  4. Read ads/references/scoring-system.md for weighted scoring
  5. Evaluate all applicable checks as PASS, WARNING, or FAIL
  6. Calculate Meta Ads Health Score (0-100)
  7. Generate findings report with action plan

What to Analyze

Pixel / CAPI Health (30% weight)

  • Meta Pixel installed and firing on all pages
  • Conversions API (CAPI) active (30-40% data loss without it post-iOS 14.5)
  • Event deduplication configured (event_id matching, ≥90% dedup rate)
  • Event Match Quality (EMQ) ≥8.0 for Purchase event
  • All standard events configured (ViewContent, AddToCart, Purchase, Lead)
  • Custom conversions created for non-standard events
  • Aggregated Event Measurement (AEM) configured for iOS
  • Domain verification completed
  • Server-side events include customer_information parameters
  • Pixel fires with correct currency and value parameters

Creative (30% weight)

  • ≥3 creative formats active (image, video, carousel, collection)
  • ≥5 creatives per ad set (Meta recommendation)
  • Creative fatigue detection: CTR drop >20% over 14 days = FAIL
  • Video creative: 15s max for Stories/Reels, 30s max for Feed
  • UGC/testimonial creative tested
  • Dynamic Creative Optimization (DCO) tested
  • Ad copy: headline under 40 chars, primary text under 125 chars
  • Creative refresh cadence: every 2-4 weeks for high-spend

Account Structure (20% weight)

  • Campaign Budget Optimization (CBO) vs Ad Set Budget (ABO) intentional
  • Campaign consolidation: ≤5 active campaigns per objective type
  • Learning phase health: <30% ad sets in "Learning Limited" (FAIL >50%)
  • Budget per ad set: ≥5x target CPA (minimum for learning phase exit)
  • Ad set audience overlap <30% (Audience Overlap tool)
  • Campaign naming conventions consistent and descriptive
  • Advantage+ Shopping Campaigns (ASC) active for e-commerce
  • Simplified campaign structure (fewer, larger ad sets preferred)

Audience & Targeting (20% weight)

  • Prospecting frequency (7-day): <3.0 (WARNING 3-5, FAIL >5)
  • Retargeting frequency (7-day): <8.0 (WARNING 8-12, FAIL >12)
  • Custom Audiences: website visitors, customer lists, engagement
  • Lookalike Audiences: multiple seed sizes tested (1%, 3%, 5%)
  • Advantage+ Audience tested vs manual targeting
  • Interest targeting: broad enough for algorithm optimization
  • Exclusions: purchasers excluded from prospecting, overlap managed
  • Location targeting reviewed for relevance

Advantage+ Assessment

If Advantage+ features are in use:

  • ASC (Shopping Campaigns): catalog connected, existing customer cap set
  • Advantage+ Audience: performance vs manual audience compared
  • Advantage+ Creative: enhancements enabled (text, brightness, music)
  • Advantage+ Placements: enabled (let Meta optimize placement mix)
  • Budget allocation: Advantage+ campaigns getting fair test budget

Special Ad Categories

If ads are in restricted categories:

  • Special Ad Category declared before campaign creation
  • Targeting restrictions verified (no ZIP, age 18-65+ only, no Lookalike)
  • Creative compliance with category-specific policies
  • Read ads/references/compliance.md for full requirements

EMQ Optimization Guide

EMQ Score Status Action
8.0-10.0 Excellent Maintain current setup
6.0-7.9 Good Add more customer_information parameters
4.0-5.9 Fair Implement CAPI, improve data quality
<4.0 Poor Critical: CAPI + Enhanced Matching required

Key parameters to maximize EMQ:

  • em (email): highest match rate signal
  • ph (phone): second highest match signal
  • fn, ln (first/last name): improves match accuracy
  • ct, st, zp (city, state, zip): geographic matching
  • external_id: CRM/user ID for cross-device matching

Key Thresholds

Metric Pass Warning Fail
EMQ (Purchase) ≥8.0 6.0-7.9 <6.0
Dedup rate ≥90% 70-90% <70%
CTR ≥1.0% 0.5-1.0% <0.5%
Creative formats ≥3 2 1
Creatives per ad set ≥5 3-4 <3
Learning Limited <30% 30-50% >50%
Budget per ad set ≥5x CPA 2-5x CPA <2x CPA

Output

Meta Ads Health Score

Meta Ads Health Score: XX/100 (Grade: X)

Pixel / CAPI Health: XX/100  ████████░░  (30%)
Creative:            XX/100  ██████████  (30%)
Account Structure:   XX/100  ███████░░░  (20%)
Audience:            XX/100  █████░░░░░  (20%)

Deliverables

  • META-ADS-REPORT.md: Full 46-check findings with pass/warning/fail
  • EMQ improvement roadmap
  • Creative fatigue alerts (any creative with CTR declining >20%)
  • Quick Wins sorted by impact
  • Advantage+ adoption recommendations
how to use ads-meta

How to use ads-meta on Cursor

AI-first code editor with Composer

1

Prerequisites

Before installing skills in Cursor, ensure your development environment meets these requirements:

  • ›Cursor installed and configured on your development machine
  • ›Node.js version 16.0+ with npm package manager (verify with node --version)
  • ›Active project directory or workspace where you want to add ads-meta
2

Execute installation command

Execute the skills CLI command in your project's root directory to begin installation:

$npx skills add https://github.com/agricidaniel/claude-ads --skill ads-meta

The skills CLI fetches ads-meta from GitHub repository agricidaniel/claude-ads and configures it for Cursor.

3

Select Cursor when prompted

The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:

◆ Which agents do you want to install to?
│
│ ── Universal (.agents/skills) ── always included ────
│ • Amp
│ • Antigravity
│ • Cline
│ • Codex
│ ●Cursor(selected)
│ • Cursor
│ • Windsurf
4

Verify installation

Confirm successful installation by checking the skill directory location:

.cursor/skills/ads-meta

Reload or restart Cursor to activate ads-meta. Access the skill through slash commands (e.g., /ads-meta) or your agent's skill management interface.

⚠

Security & Verification Notice

We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.

Skills execute code in your development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.

Additional Resources

›View source code on GitHub›Skills CLI documentation›Learn more about Cursor›What are agent skills?

List & Monetize Your Skill

Submit your Claude Code skill and start earning

GET_STARTED →

Use Cases▌

User Story & Requirements Generation

Create detailed user stories, acceptance criteria, and feature specs

Example

Generate user stories for 'password reset feature' with acceptance criteria, edge cases, and test scenarios

✓

Reduce spec writing time by 50%, ensure comprehensive coverage

Competitive Analysis

Research competitors, compare features, identify gaps

Example

Analyze 5 competitor products, create feature comparison matrix, suggest differentiation opportunities

✓

Complete competitive research in 2 hours instead of 2 days

Roadmap Prioritization

Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs

Example

Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale

✓

Make data-driven prioritization decisions faster

Stakeholder Communication

Draft PRDs, status updates, and stakeholder presentations

Example

Create executive summary of Q3 roadmap, monthly progress report, feature launch announcement

✓

Save 3-5 hours/week on communication overhead

Implementation Guide▌

Prerequisites

  • ›Claude Desktop or compatible AI client
  • ›Access to product documentation and roadmap tools (Jira, Notion, etc.)
  • ›Understanding of product management frameworks (RICE, Jobs-to-be-Done, etc.)
  • ›Stakeholder contact information and communication channels

Time Estimate

30-60 minutes to see productivity improvements

Installation Steps

  1. 1.Install product management skill
  2. 2.Start with user story generation for known feature
  3. 3.Progress to competitive analysis: research 2-3 competitors
  4. 4.Use for roadmap prioritization: apply RICE/ICE scoring
  5. 5.Draft stakeholder communications and refine based on feedback
  6. 6.Build template library for recurring PM tasks
  7. 7.Share effective prompts with product team

Common Pitfalls

  • ⚠Not validating competitive research—verify facts before sharing
  • ⚠Accepting user stories without involving engineering team
  • ⚠Over-relying on frameworks without qualitative judgment
  • ⚠Not customizing outputs to company culture and communication style
  • ⚠Skipping stakeholder validation of generated requirements

Best Practices▌

✓ Do

  • +Validate research and competitive analysis with real data
  • +Collaborate with engineering when generating technical requirements
  • +Customize frameworks and templates to your company context
  • +Use skill for first drafts, refine with stakeholder input
  • +Document successful prompt patterns for PM tasks
  • +Combine AI efficiency with human judgment and intuition

✗ Don't

  • −Don't publish competitive analysis without fact-checking
  • −Don't finalize user stories without engineering review
  • −Don't make prioritization decisions solely on AI scoring
  • −Don't skip customer validation of generated requirements
  • −Don't ignore company-specific context and culture

💡 Pro Tips

  • ★Provide context: company goals, constraints, customer feedback
  • ★Ask for alternatives: 'Show 3 ways to prioritize this roadmap'
  • ★Request stakeholder-specific formatting: 'Executive summary vs. engineering spec'
  • ★Use skill for 70% generation + 30% customization to company needs

When to Use This▌

✓ Use When

Use for user story writing, competitive research, roadmap prioritization, stakeholder communication, and PRD drafting. Best for reducing repetitive documentation and research work.

✗ Avoid When

Avoid for strategic product vision (requires deep customer empathy), pricing decisions (needs market and financial expertise), or when face-to-face customer discovery is more valuable than speed.

Learning Path▌

  1. 1Basic: user stories, feature specs, status updates
  2. 2Intermediate: competitive analysis, prioritization frameworks, PRDs
  3. 3Advanced: product strategy, go-to-market planning, OKR setting
  4. 4Expert: product vision, market positioning, business model innovation

Discussion

Product Hunt–style comments (not star reviews)
  • No comments yet — start the thread.
general reviews

Ratings

4.6★★★★★63 reviews
  • ★★★★★Neel Li· Dec 20, 2024

    Solid pick for teams standardizing on skills: ads-meta is focused, and the summary matches what you get after install.

  • ★★★★★Diya Lopez· Dec 16, 2024

    ads-meta fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.

  • ★★★★★Isabella Rao· Dec 16, 2024

    ads-meta reduced setup friction for our internal harness; good balance of opinion and flexibility.

  • ★★★★★Isabella Kim· Dec 4, 2024

    I recommend ads-meta for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.

  • ★★★★★Benjamin Garcia· Dec 4, 2024

    We added ads-meta from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.

  • ★★★★★Luis Liu· Nov 23, 2024

    Solid pick for teams standardizing on skills: ads-meta is focused, and the summary matches what you get after install.

  • ★★★★★Benjamin Haddad· Nov 23, 2024

    ads-meta fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.

  • ★★★★★Naina Yang· Nov 11, 2024

    I recommend ads-meta for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.

  • ★★★★★Diya Haddad· Nov 7, 2024

    We added ads-meta from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.

  • ★★★★★Aarav Agarwal· Nov 7, 2024

    ads-meta has been reliable in day-to-day use. Documentation quality is above average for community skills.

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