Retrieve current documentation for software libraries and frameworks via the Context7 API.
Works with
Two-step workflow: search for a library by name and topic, then fetch documentation using the returned library ID
Supports documentation retrieval across hundreds of libraries (React, Next.js, FastAPI, Axios, and others) with plain-text or JSON response formats
Query parameters accept specific topics for relevance ranking; results include library descriptions and snippet counts
No API key re
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Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versioncontext7Execute the skills CLI command in your project's root directory to begin installation:
Fetches context7 from intellectronica/agent-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 context7. Access via /context7 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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Run in your terminal
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This skill enables retrieval of current documentation for software libraries and components by querying the Context7 API via curl. Use it instead of relying on potentially outdated training data.
To find the Context7 library ID, query the search endpoint:
curl -s "https://context7.com/api/v2/libs/search?libraryName=LIBRARY_NAME&query=TOPIC" | jq '.results[0]'
Parameters:
libraryName (required): The library name to search for (e.g., "react", "nextjs", "fastapi", "axios")query (required): A description of the topic for relevance rankingResponse fields:
id: Library identifier for the context endpoint (e.g., /websites/react_dev_reference)title: Human-readable library namedescription: Brief description of the librarytotalSnippets: Number of documentation snippets availableTo retrieve documentation, use the library ID from step 1:
curl -s "https://context7.com/api/v2/context?libraryId=LIBRARY_ID&query=TOPIC&type=txt"
Parameters:
libraryId (required): The library ID from search resultsquery (required): The specific topic to retrieve documentation fortype (optional): Response format - json (default) or txt (plain text, more readable)# Find React library ID
curl -s "https://context7.com/api/v2/libs/search?libraryName=react&query=hooks" | jq '.results[0].id'
# Returns: "/websites/react_dev_reference"
# Fetch useState documentation
curl -s "https://context7.com/api/v2/context?libraryId=/websites/react_dev_reference&query=useState&type=txt"
# Find Next.js library ID
curl -s "https://context7.com/api/v2/libs/search?libraryName=nextjs&query=routing" | jq '.results[0].id'
# Fetch app router documentation
curl -s "https://context7.com/api/v2/context?libraryId=/vercel/next.js&query=app+router&type=txt"
# Find FastAPI library ID
curl -s "https://context7.com/api/v2/libs/search?libraryName=fastapi&query=dependencies" | jq '.results[0].id'
# Fetch dependency injection documentation
curl -s "https://context7.com/api/v2/context?libraryId=/fastapi/fastapi&query=dependency+injection&type=txt"
type=txt for more readable outputjq to filter and format JSON responsesquery parameter to improve relevance ranking+ or %20)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
pproenca/dot-skills
mattpocock/skills
context7 has been reliable in day-to-day use. Documentation quality is above average for community skills.
context7 reduced setup friction for our internal harness; good balance of opinion and flexibility.
context7 is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
Useful defaults in context7 — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
I recommend context7 for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
context7 fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
I recommend context7 for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
Registry listing for context7 matched our evaluation — installs cleanly and behaves as described in the markdown.
context7 reduced setup friction for our internal harness; good balance of opinion and flexibility.
Registry listing for context7 matched our evaluation — installs cleanly and behaves as described in the markdown.
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