revenuecat

revenuecat/revenuecat-skill · updated Apr 8, 2026

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$npx skills add https://github.com/revenuecat/revenuecat-skill --skill revenuecat
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summary

Query RevenueCat metrics and search documentation.

skill.md

RevenueCat

Query RevenueCat metrics and search documentation.

Config

Set RC_API_KEY environment variable, which should be a v2 secret API key.

Context

Query the RevenueCat API (GET /projects) to get information about the project you have access to. Your RevenueCat API key allows access to a single project. Use the project ID in subsequent API calls.

API Access

{baseDir}/scripts/rc-api.sh <endpoint>

Example: {baseDir}/scripts/rc-api.sh /projects to list projects.

Local API Reference

Start with {baseDir}/references/api-v2.md for auth, pagination, and common patterns. Then load the domain file you need:

Domain File Covers
Customers references/customers.md CRUD, attributes, aliases, entitlements, subscriptions, purchases, invoices, virtual currencies, actions
Subscriptions references/subscriptions.md List, get, transactions, cancel, refund, management URL
Products references/products.md CRUD, create in store, test prices
Offerings references/offerings.md Offerings, packages, package products
Entitlements references/entitlements.md CRUD, attach/detach products
Purchases references/purchases.md List, get, refund, entitlements
Projects references/projects.md Projects, apps, API keys, StoreKit config
Metrics references/metrics.md Overview metrics, charts, chart options
Paywalls references/paywalls.md Paywall creation
Integrations references/integrations.md Integrations CRUD
Virtual Currencies references/virtual-currencies.md Virtual currencies CRUD
Error Handling references/error-handling.md Error handling
Rate Limits references/rate-limits.md Rate limits

Only load the reference file relevant to the current task — don't load them all.

Remote Documentation Search

The RevenueCat documentation is available at https://www.revenuecat.com/docs. Use https://www.revenuecat.com/docs/llms.txt and /sitemap.xml as a guide to the content that is available. Add .md to the end of a documentation URL to get the markdown version of the page.

how to use revenuecat

How to use revenuecat 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 revenuecat
2

Execute installation command

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

$npx skills add https://github.com/revenuecat/revenuecat-skill --skill revenuecat

The skills CLI fetches revenuecat from GitHub repository revenuecat/revenuecat-skill 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/revenuecat

Reload or restart Cursor to activate revenuecat. Access the skill through slash commands (e.g., /revenuecat) 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.

List & Monetize Your Skill

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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

4.672 reviews
  • Meera Thomas· Dec 28, 2024

    revenuecat is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.

  • Aditi Choi· Dec 24, 2024

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

  • Naina Patel· Dec 24, 2024

    Keeps context tight: revenuecat is the kind of skill you can hand to a new teammate without a long onboarding doc.

  • Mia Robinson· Dec 24, 2024

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

  • Hana Menon· Dec 8, 2024

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

  • Ganesh Mohane· Dec 4, 2024

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

  • Noor Okafor· Nov 27, 2024

    Keeps context tight: revenuecat is the kind of skill you can hand to a new teammate without a long onboarding doc.

  • Naina Sethi· Nov 19, 2024

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

  • Omar Smith· Nov 15, 2024

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

  • Diya Park· Nov 15, 2024

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

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