Guides Meta (Facebook/Instagram) Ads setup, campaign structure, audience targeting, and creative optimization. Meta excels at demand generation and visual products; use when creating demand or when creative assets are strong.
Works with
AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versionmeta-adsExecute the skills CLI command in your project's root directory to begin installation:
Fetches meta-ads from kostja94/marketing-skills and configures it for Cursor.
The CLI shows a list of agents. Use arrow keys and space to select Cursor:
Confirm successful installation by checking the skill directory location:
Restart Cursor to activate meta-ads. Access via /meta-ads in your agent's command palette.
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 environment. Always review source, verify the publisher, and test in isolation before production.
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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
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
Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs
Example
Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale
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Guides Meta (Facebook/Instagram) Ads setup, campaign structure, audience targeting, and creative optimization. Meta excels at demand generation and visual products; use when creating demand or when creative assets are strong.
When invoking: On first use, if helpful, open with 1–2 sentences on what this skill covers and why it matters, then provide the main output. On subsequent use or when the user asks to skip, go directly to the main output.
Hierarchy: Campaign → Ad Set → Ad (3 levels)
Principle: One objective per campaign. Multiple campaigns for the same objective split budget and data, slowing the algorithm's learning phase. Consolidate by objective; focus on clean structure and data-led decisions.
Account
├── Campaign: Prospecting
│ ├── Ad Set: Lookalike 1%
│ └── Ad Set: Broad (Advantage+)
├── Campaign: Retargeting
└── Campaign: Testing
Naming: META_[Objective]_[Audience]_[Offer]_[Date] (e.g., META_Conv_Lookalike-Customers_FreeTrial_2024Q1)
| Feature | Use |
|---|---|
| Advantage+ Shopping Campaigns | E-commerce; automatic audience discovery |
| Dynamic Ads | Product catalog; auto-generated creative |
| Automatic Placements | Let Meta optimize across Feed, Stories, Reels |
| Advantage+ Audience | Broad targeting; algorithm finds converters |
Provide diverse creative assets to enable multiple ad formats; algorithm performs better with variety.
| Objective | Use when |
|---|---|
| Awareness | Reach; brand recall |
| Traffic | Clicks to site |
| Conversions | Leads; sales; app installs |
| Engagement | Video views; post engagement |
| Type | Best for |
|---|---|
| Lookalikes | Base on best customers (by LTV), not all customers |
| Interest/behavior | Broad; let algorithm optimize |
| Advantage+ | Automated; fewer manual controls |
| Retargeting | Website visitors; engagers; custom audiences |
Exclusions: Existing customers; recent converters (7–14d).
Make data-driven prioritization decisions faster
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
Prerequisites
Time Estimate
30-60 minutes to see productivity improvements
Steps
Common Pitfalls
✓ Do
✗ Don't
💡 Pro Tips
✓ 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.
kostja94/marketing-skills
mattpocock/skills
parcadei/continuous-claude-v3
cursor/plugins
ailabs-393/ai-labs-claude-skills
pproenca/dot-skills
Useful defaults in meta-ads — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
meta-ads fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
meta-ads is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
We added meta-ads from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
meta-ads is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
Useful defaults in meta-ads — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
We added meta-ads from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
meta-ads fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
meta-ads has been reliable in day-to-day use. Documentation quality is above average for community skills.
Solid pick for teams standardizing on skills: meta-ads is focused, and the summary matches what you get after install.
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