Guide for creating AGENTS.md files for project-specific inline rules.
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Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versioncreate-agents-mdExecute the skills CLI command in your project's root directory to begin installation:
Fetches create-agents-md from siviter-xyz/dot-agent 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 create-agents-md. Access via /create-agents-md 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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Guide for creating AGENTS.md files for project-specific inline rules.
AGENTS.md is a simple markdown file without metadata:
# Project Instructions
## Code Style
- Use TypeScript for all new files
- Prefer functional components in React
- Use snake_case for database columns
## Architecture
- Follow the repository pattern
- Keep business logic in service layers
AGENTS.md – Primary, inline instructions and references for the whole project (commands, tech stack, testing, code style, architecture, safety boundaries).subdirectory/AGENTS.md – Folder- or package-scoped instructions when local behavior meaningfully diverges from the root (e.g., a specific package, service, or test tree).AGENTS.md with parent ones; keep root general and use nested AGENTS.md only where you truly need more specific rules.see src/api/users.ts for canonical pattern)For detailed best practices, see references/best-practices.md.
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.
mattpocock/skills
parcadei/continuous-claude-v3
cursor/plugins
ailabs-393/ai-labs-claude-skills
ailabs-393/ai-labs-claude-skills
pproenca/dot-skills
We added create-agents-md from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
Registry listing for create-agents-md matched our evaluation — installs cleanly and behaves as described in the markdown.
Solid pick for teams standardizing on skills: create-agents-md is focused, and the summary matches what you get after install.
create-agents-md has been reliable in day-to-day use. Documentation quality is above average for community skills.
Useful defaults in create-agents-md — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
create-agents-md has been reliable in day-to-day use. Documentation quality is above average for community skills.
Keeps context tight: create-agents-md is the kind of skill you can hand to a new teammate without a long onboarding doc.
I recommend create-agents-md for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
Useful defaults in create-agents-md — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
I recommend create-agents-md for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
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