Analyze codebases and map task-relevant files before implementing changes.
Works with
Automatically searches for related files, dependencies, tests, and similar code patterns to establish full context
Generates structured markdown output with files to modify, dependency relationships, test coverage, and reference patterns
Includes risk assessment checklist for breaking changes, migrations, and configuration updates
Designed as a pre-implementation step to prevent missed dependencies and unin
Before implementing any changes, analyze the codebase and create a context map.
{{task_description}}
## Context Map
### Files to Modify
| File | Purpose | Changes Needed |
|------|---------|----------------|
| path/to/file | description | what changes |
### Dependencies (may need updates)
| File | Relationship |
|------|--------------|
| path/to/dep | imports X from modified file |
### Test Files
| Test | Coverage |
|------|----------|
| path/to/test | tests affected functionality |
### Reference Patterns
| File | Pattern |
|------|---------|
| path/to/similar | example to follow |
### Risk Assessment
- [ ] Breaking changes to public API
- [ ] Database migrations needed
- [ ] Configuration changes required
Do not proceed with implementation until this map is reviewed.
AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versioncontext-mapExecute the skills CLI command in your project's root directory to begin installation:
Fetches context-map from github/awesome-copilot 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 context-map. Access via /context-map 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.
Submit your Claude Code skill and start earning
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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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.
github/awesome-copilot
github/awesome-copilot
mattpocock/skills
parcadei/continuous-claude-v3
cursor/plugins
ailabs-393/ai-labs-claude-skills
I recommend context-map for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
Solid pick for teams standardizing on skills: context-map is focused, and the summary matches what you get after install.
context-map is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
Useful defaults in context-map — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
context-map is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
Keeps context tight: context-map is the kind of skill you can hand to a new teammate without a long onboarding doc.
We added context-map from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
Useful defaults in context-map — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
I recommend context-map for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
Keeps context tight: context-map is the kind of skill you can hand to a new teammate without a long onboarding doc.
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