Agent skill

QwenPaw Setup Guide

by agentscope-ai in agentscope-ai/QwenPaw

Answers questions about installing and configuring QwenPaw by locating and reading its local documentation first, with the official website as a fallback.

Apache-2.0Auto-check passedKnowledge Management

Install QwenPaw Setup Guide

skills CLI
$ npx skills add agentscope-ai/QwenPaw --skill guidance -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install agentscope-ai/QwenPaw guidance --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/agentscope-ai/QwenPaw.git skills-src && mkdir -p .claude/skills && cp -r skills-src/src/qwenpaw/agents/skills/guidance-en .claude/skills/guidance && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
guidance
GitHub stars
36k
Token cost
~1.4k tokens
SKILL.md length
509 words
Files
1
Skills in repo
20
Repo updated
First seen
Licence
Apache-2.0

At a glance

Answers questions about installing and configuring QwenPaw by locating and reading its local documentation first, with the official website as a fallback.

  • Works in 5 steps: Locate the Documentation Directory → Documentation Search and Matching → Read the Documentation Content → …
  • Asking how to install or initialize QwenPaw
  • SKILL.md covers Standard Flow and Output Quality Requirements
  • Calls python3

What it does

This skill handles questions about QwenPaw installation, initialization, environment setup, dependency requirements and common configuration options. Its ground rules are to read the local documentation before answering, to base every answer on what was actually read, and to reply in the language the user asked in.

To find the docs, the agent tries the DOCS_DIR constant from the qwenpaw Python package, then a docs directory remembered in memory, then the website/public/docs folder derived from where the qwenpaw binary lives, and finally a search of the working directory for characteristic files such as faq.en.md. A directory it finds is saved to memory. Documentation files follow a topic.language.md naming pattern, and the agent picks by keyword. Per its description, it then distills the answer and falls back to the official website documentation when local information is not enough.

When your agent uses it

  • Asking how to install or initialize QwenPaw
  • Checking an environment or dependency requirement for QwenPaw
  • Looking up what a QwenPaw configuration option does

Example prompts

  • “How do I install QwenPaw and what dependencies does it need?”
  • “Which configuration options does QwenPaw offer for environment setup?”
  • “Find the QwenPaw documentation on this machine and tell me what the quickstart says.”

Requirements

  • A QwenPaw installation with its local documentation
  • Python 3 for the DOCS_DIR lookup

Workflow steps

5 steps, taken from the step headings in SKILL.md.

  1. Locate the Documentation Directory
  2. Documentation Search and Matching
  3. Read the Documentation Content
  4. Extract Information and Respond
  5. (Optional): Official Website Lookup

What it can do on your machine

Read from SKILL.md and the folder at commit d7a0f50. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Shell commands in SKILL.md call:

    • python3

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    Links to these hosts (documentation or services it may open):

    • qwenpaw.agentscope.io

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

QwenPaw Setup Guide loads about 1.4k tokens when it runs. Until then it costs about 58 tokens; SKILL.md has 509 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~58
When it runs · the whole SKILL.md, loaded when a task matches
~1.4k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from agentscope-ai/QwenPaw at commit d7a0f50, republished under its Apache-2.0 licence (© agentscope-ai). 509 words, ~1,430 tokens.

Download SKILL.mdSave it as .claude/skills/guidance/SKILL.md (or your agent's skills folder).
name
guidance
description
Answer user questions about QwenPaw installation and configuration: first locate and read local documentation, then distill the answer; if local information is insufficient, fall back to the official website documentation.
metadata.builtin_skill_version
1.3

QwenPaw Installation and Configuration Q&A Guide

Use this skill when the user asks about QwenPaw installation, initialization, environment configuration, dependency requirements, or common configuration options.

Core principles:

  • Check local documentation first, then answer
  • Base answers on what has actually been read, do not speculate
  • Answer in the same language the user used to ask

Standard Flow

Step 1: Locate the Documentation Directory

Use built-in path resolution (works for all install methods)

bash
DOCS_DIR=$(python3 -c "from qwenpaw.constant import DOCS_DIR; print(DOCS_DIR or '')" 2>/dev/null)

If the above returns a non-empty path and the directory exists, use it directly and skip to Step 2.

If it fails (e.g., older version without DOCS_DIR), fall back in the following order:

Check for documentation directory in memory

First, check whether there is a documentation directory in memory. If found, use it directly; otherwise, proceed to the next step.

bash
# Get the documentation directory from memory
DOCS_DIR=$(find ~/.qwenpaw/memory/ -type d -name "docs")

If there is no documentation directory in memory, continue with the following logic.

Check the documentation directory in the project source code

Run the following script logic to obtain the variable $QWENPAW_ROOT:

bash
# Get the absolute path of the binary
QWENPAW_PATH=$(which qwenpaw 2>/dev/null || whereis qwenpaw | awk '{print $2}')

# Logical deduction: if the path contains .qwenpaw/bin/qwenpaw, the root is three levels up
# Example: /path/to/QwenPaw/.qwenpaw/bin/qwenpaw -> /path/to/QwenPaw
if [[ "$QWENPAW_PATH" == *".qwenpaw/bin/qwenpaw" ]]; then
    QWENPAW_ROOT=$(echo "$QWENPAW_PATH" | sed 's/\/\.qwenpaw\/bin\/qwenpaw//')
else
    # Fallback: try to get the parent of the parent directory
    QWENPAW_ROOT=$(dirname $(dirname "$QWENPAW_PATH") 2>/dev/null || echo ".")
fi

echo "Detected QwenPaw Root: $QWENPAW_ROOT"

Verify and list the documentation directory: Use the derived $QWENPAW_ROOT to locate the documentation:

bash
# Construct the standard documentation path
DOCS_DIR="$QWENPAW_ROOT/website/public/docs/"

# Check if the path exists and list files
if [ -d "$DOCS_DIR" ]; then
    find "$DOCS_DIR" -type f -name "*.md" | head -n 100
else
    # If the derived path is incorrect, perform a global fuzzy search
    find "$QWENPAW_ROOT" -type d -name "docs" | grep "website/public/docs"
fi

If project documentation does not exist, search the working directory

If documentation is still not found, search for available documentation content under the qwenpaw installation path:

bash
# Look for characteristic files such as faq.en.md or config.zh.md
FILE_PATH=$(find . -type f -name "faq.en.md" -o -name "config.zh.md" | head -n 1)
if [ -n "$FILE_PATH" ]; then
    # Use dirname to get the directory containing the file
    DOCS_DIR=$(dirname "$FILE_PATH")
fi

If a documentation directory is found, save it in memory in this format:

markdown
# Documentation Directory
$DOCS_DIR = <doc_path>
Step 2: Documentation Search and Matching

Documentation files follow the naming format <topic>.<lang>.md (e.g., config.zh.md, config.en.md, quickstart.zh.md).

Use the find command to list all matching documents in the target directory, and identify the target as <doc_path> based on filename keywords (e.g., install, env, setup).

bash
# List all matching documents
find $DOCS_DIR -type f -name "*.md"

If no suitable document is found, read all documentation contents in the next step.

Step 3: Read the Documentation Content

After finding candidate documents, read and identify the paragraphs relevant to the question. You can use:

  • cat <doc_path>
  • file_reader skill (recommended for longer documents or paginated reading)

If the documentation is long, prioritize reading the sections most relevant to the question (installation steps, configuration options, example commands, notes, version requirements).

Show full SKILL.md (179 more words)Show less
Step 4: Extract Information and Respond

Extract key information from the documentation and organize it into an actionable answer:

  • Give the direct conclusion first
  • Then provide steps / commands / configuration examples
  • Include necessary prerequisites and common pitfalls

Language requirement: the answer language must match the language of the user's question (answer in Chinese if asked in Chinese, answer in English if asked in English).

Step 5 (Optional): Official Website Lookup

If the previous steps cannot be completed (no local documentation, missing documentation, or insufficient information), use the official website as a fallback:

Answer based on the content available from the official website, and clearly state in the answer that the conclusion comes from the official website documentation.

Output Quality Requirements

  • Do not fabricate non-existent configuration options or commands
  • When there are version differences, clearly note "please refer to the current documentation version"
  • For paths, commands, and configuration keys, provide copy-pasteable original snippets whenever possible
  • If information is still insufficient, clearly state the gaps and tell the user what additional information is needed (e.g., operating system, installation method, error logs)

© agentscope-ai, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in src/qwenpaw/agents/skills/guidance-en of agentscope-ai/QwenPaw.

Open the folder on GitHubat commit d7a0f50

Used in 1 other repository

We found 1 copy of this SKILL.md (exact, near-identical or edited) in other folders. This page covers the copy in agentscope-ai/QwenPaw, which our catalogue first saw on October 7, 2026.

Compare with similar skills

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Kb Refreshtechwolf-ai/ai-first-toolkit132—~1.3kAutomated safety check: PassMIT

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Works with

Questions about QwenPaw Setup Guide

What does QwenPaw Setup Guide do?

Answers questions about installing and configuring QwenPaw by locating and reading its local documentation first, with the official website as a fallback. This skill handles questions about QwenPaw installation, initialization, environment setup, dependency requirements and common configuration options. Its ground rules are to read the local documentation before answering, to base every answer on what was actually read, and to reply in the language the user asked in.

When should I use QwenPaw Setup Guide?

QwenPaw Setup Guide fits situations like: asking how to install or initialize QwenPaw; checking an environment or dependency requirement for QwenPaw; looking up what a QwenPaw configuration option does.

How do I install QwenPaw Setup Guide in Claude Code?

Run `npx skills add agentscope-ai/QwenPaw --skill guidance -a claude-code`. Or copy the skill folder (src/qwenpaw/agents/skills/guidance-en in agentscope-ai/QwenPaw) into .claude/skills/guidance in your project. Claude Code loads it when a task matches its description.

How do I install QwenPaw Setup Guide in Codex?

Run `npx skills add agentscope-ai/QwenPaw --skill guidance -a codex`. Or copy the skill folder (src/qwenpaw/agents/skills/guidance-en in agentscope-ai/QwenPaw) into .agents/skills/guidance in your project. Codex loads it when a task matches its description.

Can I use QwenPaw Setup Guide in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add agentscope-ai/QwenPaw --skill guidance -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/guidance, .gemini/skills/guidance, .github/skills/guidance and .opencode/skills/guidance in your project.

What does QwenPaw Setup Guide need to run?

Going by SKILL.md and its folder, QwenPaw Setup Guide needs the command-line tools its instructions call (python3). Our summary lists: A QwenPaw installation with its local documentation; Python 3 for the DOCS_DIR lookup.

Does QwenPaw Setup Guide access the network?

SKILL.md names 1 domain. As links in the text: qwenpaw.agentscope.io. This is read from the text; nothing was executed.

Is QwenPaw Setup Guide safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does QwenPaw Setup Guide use?

QwenPaw Setup Guide is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does QwenPaw Setup Guide use?

About 1.4k tokens (SKILL.md is roughly 5.7k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to QwenPaw Setup Guide?

Skills that share tags, products or a category with QwenPaw Setup Guide: LLM Wiki Knowledge Graph (Egonex-AI/Understand-Anything, 86k stars), Wxo Builder (IBM/ibm-watsonx-orchestrate-adk, 178 stars), Mini Context Graph (github/awesome-copilot, 40k stars) and Modeling Threats With Opencti (mukul975/Anthropic-Cybersecurity-Skills, 34k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains QwenPaw Setup Guide?

agentscope-ai (a GitHub organization) maintains it in agentscope-ai/QwenPaw, which has 35,521 GitHub stars. The repository holds 20 skills in this directory. The repository was last updated on October 9, 2026.

Source: agentscope-ai/QwenPaw on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.