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wiki-qa

Helps your agent answer questions about the code. It searches for answers directly in the source code to ensure accuracy.

What it does

This tool answers questions about a program's code. It finds answers directly within the code files and cites where it found each piece of information.

When to use it

  • ✓When you have questions about a project's code.
  • ✓When you want to understand a specific file or part of the code.
  • ✓When you ask 'how does X work' or 'where is Y defined'.

Example of what to ask your AI

“How does the login function work in this project?”

Want more? Open the sections below.

How to use

The easiest way: copy the message below and paste it into Claude, ChatGPT, Cursor or any AI. It reads the skill and follows the instructions.

Skill link

https://github.com/sickn33/agentic-awesome-skills/blob/main/plugins/agentic-awesome-skills-claude/skills/wiki-qa/SKILL.md

Ready-to-paste message

Use this skill to help me: https://github.com/sickn33/agentic-awesome-skills/blob/main/plugins/agentic-awesome-skills-claude/skills/wiki-qa/SKILL.md Read the SKILL.md file at that link and follow its instructions for my task.
How it works

The AI reads the program's code files. It searches these files for answers to your question and shows you exactly where it found each part of the answer.

Installation

Easiest way: copy the skill link and paste it into Claude, ChatGPT or Cursor asking it to follow the instructions.

In the terminal (Claude Code, Codex, Cursor), in your project folder:

npx skills add sickn33/agentic-awesome-skills --skill wiki-qa

Or download just the file:

curl -L https://raw.githubusercontent.com/sickn33/agentic-awesome-skills/main/plugins/agentic-awesome-skills-claude/skills/wiki-qa/SKILL.md -o SKILL.md
Technical content (original SKILL.md)

Original text by the author, straight from GitHub.

Wiki Q&A

Answer repository questions grounded entirely in source code evidence.

When to Use

  • User asks a question about the codebase
  • User wants to understand a specific file, function, or component
  • User asks "how does X work" or "where is Y defined"

Procedure

  1. Detect the language of the question; respond in the same language
  2. Search the codebase for relevant files
  3. Read those files to gather evidence
  4. Synthesize an answer with inline citations

Response Format

  • Use ## headings, code blocks with language tags, tables, bullet lists
  • Cite sources inline: (src/path/file.ts:42)
  • Include a "Key Files" table mapping files to their roles
  • If information is insufficient, say so and suggest files to examine

Rules

  • ONLY use information from actual source files
  • NEVER invent, guess, or use external knowledge
  • Think step by step before answering

When to Use

This skill is applicable to execute the workflow or actions described in the overview.

Example

User request:

Answer this repository question using only source-code evidence, with direct file and line references.

Limitations

  • Use this skill only when the task clearly matches the scope described above.
  • Do not treat the output as a substitute for environment-specific validation, testing, or expert review.
  • Stop and ask for clarification if required inputs, permissions, safety boundaries, or success criteria are missing.
FAQ

Can the AI use internet knowledge to answer?

No, the AI can only use information written in the program's code files.

Will the AI invent answers if it can't find the information?

No, if the AI cannot find the information in the files, it will say it doesn't know and may suggest which files to look at.

What language will the answer be in?

The AI will try to answer in the same language you asked the question.

Details

Original description by the author

Answer repository questions grounded entirely in source code evidence. Use when user asks a question about the codebase, user wants to understand a specific file, function, or component, or user asks \"how does X work\" or \"where is Y defined\".

repo: sickn33/agentic-awesome-skills

Popularity

GitHub stars
48k
Ranking position
#4567
License
MIT
Updated
10/15/2026

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