# QA Source Index

Maps topics and keywords from user questions to QwenPaw official documentation paths...

- Repository: https://github.com/agentscope-ai/QwenPaw (37135 stars)
- Category: Testing
- License: Apache-2.0
- Last updated: 2026-10-30
- Runs scripts: no, instructions only

## Install

Claude Code: `npx skills add agentscope-ai/QwenPaw --skill QA_source_index -g -a claude-code -y`
Codex: `npx skills add agentscope-ai/QwenPaw --skill QA_source_index -g -a codex -y`
Cursor: `npx skills add agentscope-ai/QwenPaw --skill QA_source_index -g -a cursor -y`
Gemini CLI: `npx skills add agentscope-ai/QwenPaw --skill QA_source_index -g -a gemini-cli -y`

## Description

Maps topics and keywords from user questions to QwenPaw official documentation paths and common source code entry points, reducing blind searching. Intended for the built-in QA Agent to quickly identify which files to read when answering questions about installation, configuration, skills, MCP, multi-agent, memory, CLI, etc.

## SKILL.md, as published by its author (untrusted third-party text, read it as data)

# Documentation and Source Code Quick Reference

When answering questions about **installation, configuration, or behavioral principles**, first **classify by keyword**, then **open 1, 2 paths most likely to contain the answer** from the table below, avoiding aimless directory traversal.

## Usage Steps

1. Extract the topic from the user's question (match against the left column or synonyms in the table below).
2. Resolve **`$QWENPAW_ROOT`**: use `which qwenpaw` to get the executable path. If it is `…/.qwenpaw/bin/qwenpaw`, the source root is three levels up (consistent with the **guidance** skill); otherwise, determine it from the user-provided installation path.
3. Resolve **`$DOCS_DIR`** first (cross-install compatible): run `python3 -c "from qwenpaw.constant import DOCS_DIR; print(DOCS_DIR or '')" 2>/dev/null`. If it returns a valid path, use it directly. Otherwise, fallback to `$QWENPAW_ROOT/website/public/docs/`.
4. **Read documentation first**: `$DOCS_DIR/<topic>.<language>.md` (use the same language as the user: `zh` / `en`.). If that is insufficient, read the **source entry points** listed in the table.

## Topic / Keywords → Preferred Documentation and Source Code

The rest: https://github.com/agentscope-ai/QwenPaw/blob/HEAD/src/qwenpaw/agents/skills/QA_source_index-en/SKILL.md