deepwiki

johnlindquist/claude · updated Apr 8, 2026

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$npx skills add https://github.com/johnlindquist/claude --skill deepwiki
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summary

Query DeepWiki for AI-generated documentation about any public GitHub repository.

skill.md

DeepWiki - Repository Documentation

Query DeepWiki for AI-generated documentation about any public GitHub repository.

Overview

DeepWiki (deepwiki.com) provides AI-generated documentation for GitHub repositories, including:

  • Repository structure and architecture
  • API documentation
  • Code explanations
  • Interactive diagrams

Quick Start

URL Pattern: Replace github.com with deepwiki.com in any repo URL:

  • github.com/vercel/next.jsdeepwiki.com/vercel/next.js

MCP Server Setup

DeepWiki provides a free MCP server with no authentication required for public repos.

Add to Claude Code (one-time setup)

claude mcp add -s user -t http deepwiki https://mcp.deepwiki.com/mcp

For Cursor/Windsurf

Add to your MCP config:

{
  "mcpServers": {
    "deepwiki": {
      "serverUrl": "https://mcp.deepwiki.com/sse"
    }
  }
}

Available MCP Tools

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

Usage Examples

Via WebFetch (works immediately)

# Fetch documentation overview
WebFetch https://deepwiki.com/owner/repo "Summarize the architecture"

# Example
WebFetch https://deepwiki.com/vercel/next.js "How does routing work?"

Via MCP (after setup)

Use the MCP tools directly:

  • mcp__deepwiki__read_wiki_structure - Get repo structure
  • mcp__deepwiki__read_wiki_contents - Get documentation
  • mcp__deepwiki__ask_question - Ask questions

Fallback: GitHub + AI

If DeepWiki lacks coverage for a repo, use GitHub API:

Get Repository Overview

gh api repos/owner/repo | jq '{description, language, topics, stars: .stargazers_count}'

Get README

gh api repos/owner/repo/readme --jq '.content' | base64 -d

Get File Structure

gh api repos/owner/repo/git/trees/main?recursive=1 | \
  jq -r '.tree[] | select(.type == "blob") | .path' | head -50

Wire Protocols

Two protocols are supported:

  • SSE at https://mcp.deepwiki.com/sse - Official MCP spec
  • HTTP at https://mcp.deepwiki.com/mcp - Cloudflare/OpenAI compatible

Best Practices

  1. Use WebFetch first - Works without MCP setup
  2. Check if repo is indexed - Popular repos have better coverage
  3. Ask specific questions - DeepWiki excels at targeted queries
  4. Fall back to GitHub - For unindexed or private repos

Limitations

  • Public repos only - Private repos require Devin account
  • Coverage varies - 50,000+ popular repos indexed
  • No authentication - Can't access private documentation

Resources

how to use deepwiki

How to use deepwiki 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 deepwiki
2

Execute installation command

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

$npx skills add https://github.com/johnlindquist/claude --skill deepwiki

The skills CLI fetches deepwiki from GitHub repository johnlindquist/claude 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/deepwiki

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

Submit your Claude Code skill and start earning

GET_STARTED →

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

4.674 reviews
  • Noah Reddy· Dec 28, 2024

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

  • Sofia Kapoor· Dec 20, 2024

    Useful defaults in deepwiki — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.

  • William Taylor· Dec 12, 2024

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

  • Aditi Dixit· Dec 12, 2024

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

  • Sofia Johnson· Dec 8, 2024

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

  • Evelyn Garcia· Dec 8, 2024

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

  • Evelyn Thompson· Dec 4, 2024

    deepwiki reduced setup friction for our internal harness; good balance of opinion and flexibility.

  • Noah Shah· Nov 27, 2024

    Registry listing for deepwiki matched our evaluation — installs cleanly and behaves as described in the markdown.

  • Noah Sethi· Nov 27, 2024

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

  • Michael Okafor· Nov 23, 2024

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

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