Agent skill

deep-wiki

Access AI-generated documentation and insights for GitHub repositories via DeepWiki. This skill should be used when exploring unfamiliar codebases, understanding repository architecture, finding implementation patterns, or asking questions about how a GitHub project works. Supports any public GitHub repository.

View SKILL.md on GitHub Repository
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Install this agent skill to your Project

npx add-skill https://github.com/huynguyen03dev/opencode-setup/tree/main/skills/deep-wiki

SKILL.md

DeepWiki

Base directory for this skill: /home/hazeruno/.config/opencode/skills/deep-wiki

DeepWiki provides AI-generated documentation and Q&A for GitHub repositories. Use it to quickly understand codebases, explore architecture, and get answers about how projects work.

When to Use

  • Exploring an unfamiliar GitHub repository
  • Understanding project architecture and structure
  • Finding how specific features are implemented
  • Getting quick answers about a codebase without reading all source code
  • Learning about dependencies, patterns, and design decisions

Quick Start

Run the CLI script with bun (use absolute path):

bash
bun /home/hazeruno/.config/opencode/skills/deep-wiki/scripts/deepwiki.ts <command> [options]

Available Commands

read-wiki-structure

Get a list of documentation topics available for a repository.

bash
bun /home/hazeruno/.config/opencode/skills/deep-wiki/scripts/deepwiki.ts read-wiki-structure --repo-name "facebook/react"

read-wiki-contents

View the full AI-generated documentation for a repository.

bash
bun /home/hazeruno/.config/opencode/skills/deep-wiki/scripts/deepwiki.ts read-wiki-contents --repo-name "vercel/next.js"

ask-question

Ask any question about a repository and get an AI-generated answer.

bash
bun /home/hazeruno/.config/opencode/skills/deep-wiki/scripts/deepwiki.ts ask-question \
  --repo-name "prisma/prisma" --question "How does the query engine work?"

Global Options

  • -t, --timeout <ms>: Call timeout (default: 30000)
  • -o, --output <format>: Output format: text | markdown | json | raw

Requirements

  • Bun runtime
  • mcporter package (embedded in script)

References

See references/api_reference.md for detailed API documentation.

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