Query DeepWiki for AI-generated documentation about any public GitHub repository.
Works with
AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versiondeepwikiExecute the skills CLI command in your project's root directory to begin installation:
Fetches deepwiki from johnlindquist/claude 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 deepwiki. Access via /deepwiki 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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Query DeepWiki for AI-generated documentation about any public GitHub repository.
DeepWiki (deepwiki.com) provides AI-generated documentation for GitHub repositories, including:
URL Pattern: Replace github.com with deepwiki.com in any repo URL:
github.com/vercel/next.js → deepwiki.com/vercel/next.jsDeepWiki provides a free MCP server with no authentication required for public repos.
claude mcp add -s user -t http deepwiki https://mcp.deepwiki.com/mcp
Add to your MCP config:
{
"mcpServers": {
"deepwiki": {
"serverUrl": "https://mcp.deepwiki.com/sse"
}
}
}
Once configured, these tools become available:
| Tool | Purpose |
|---|---|
read_wiki_structure |
Get documentation topics/structure for a repo |
read_wiki_contents |
Retrieve actual documentation content |
ask_question |
Ask AI-powered questions about the repo |
# Fetch documentation overview
WebFetch https://deepwiki.com/owner/repo "Summarize the architecture"
# Example
WebFetch https://deepwiki.com/vercel/next.js "How does routing work?"
Use the MCP tools directly:
mcp__deepwiki__read_wiki_structure - Get repo structuremcp__deepwiki__read_wiki_contents - Get documentationmcp__deepwiki__ask_question - Ask questionsIf DeepWiki lacks coverage for a repo, use GitHub API:
gh api repos/owner/repo | jq '{description, language, topics, stars: .stargazers_count}'
gh api repos/owner/repo/readme --jq '.content' | base64 -d
gh api repos/owner/repo/git/trees/main?recursive=1 | \
jq -r '.tree[] | select(.type == "blob") | .path' | head -50
Two protocols are supported:
https://mcp.deepwiki.com/sse - Official MCP spechttps://mcp.deepwiki.com/mcp - Cloudflare/OpenAI compatibleMake 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
ailabs-393/ai-labs-claude-skills
deepwiki has been reliable in day-to-day use. Documentation quality is above average for community skills.
Useful defaults in deepwiki — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
We added deepwiki from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
deepwiki is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
I recommend deepwiki for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
deepwiki fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
deepwiki reduced setup friction for our internal harness; good balance of opinion and flexibility.
Registry listing for deepwiki matched our evaluation — installs cleanly and behaves as described in the markdown.
I recommend deepwiki for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
We added deepwiki from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
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