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deep-wiki

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UpdatedApril 21, 2026 at 07:12

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.

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majiayu000

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SKILL.md

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name	deep-wiki
description	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.

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):

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.

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.

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.

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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name	deep-wiki
description	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.

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):

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.

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.

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.

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.