QA Source Index
Maps topics and keywords from user questions to QwenPaw official documentation paths...
Install
npx skills add agentscope-ai/QwenPaw --skill QA_source_index -g -a claude-code -y- Repository
- agentscope-ai/QwenPaw37.1k
- Category
- Testing
- Updated
- 5d ago
- License
- Apache-2.0
- Context cost
- Lightabout 952 tokens
- Runs scripts
- No, instructions only
What it does
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.
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
- Extract the topic from the user's question (match against the left column or synonyms in the table below).
- Resolve
$QWENPAW_ROOT: usewhich qwenpawto 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. - Resolve
$DOCS_DIRfirst (cross-install compatible): runpython3 -c "from qwenpaw.constant import DOCS_DIR; print(DOCS_DIR or '')" 2>/dev/null. If it returns a valid path, use it directly. Otherwise, fallback to$QWENPAW_ROOT/website/public/docs/. - 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.
