Agent skill

QwenPaw Setup Q&A (Chinese Edition)

by agentscope-ai in agentscope-ai/QwenPaw

Chinese-language edition of the QwenPaw setup Q&A skill: it checks local docs before answering, replies in the asker's language and falls back to the official site.

Apache-2.0Auto-check passedKnowledge Management

SKILL.md written in Chinese; this summary is our English description.

Install QwenPaw Setup Q&A (Chinese Edition)

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-zh .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
~689 tokens
SKILL.md length
71 words
Files
1
Skills in repo
20
Repo updated
First seen
Licence
Apache-2.0

At a glance

Chinese-language edition of the QwenPaw setup Q&A skill: it checks local docs before answering, replies in the asker's language and falls back to the official site.

  • Asking in Chinese how to install or configure QwenPaw
  • SKILL.md covers 标准流程 and 输出质量要求
  • Calls python3
  • Checking which dependencies or environment settings QwenPaw needs

What it does

This variant covers the same ground as the English guidance skill for QwenPaw, with its instructions written in Chinese. The agent works in five steps: locate the documentation directory, search and match files by keywords such as install, env and setup, read the relevant sections, extract the key information, and optionally consult the official website at qwenpaw.agentscope.io when local material is missing or incomplete.

Answers should lead with a direct conclusion, then give steps, commands or configuration examples, then prerequisites and common pitfalls. Quality rules ask the agent not to invent configuration items or commands, to flag version differences as depending on the current documentation, to quote copyable snippets for paths, commands and keys, and to say what is missing (operating system, install method or error log) when information is still lacking. A website-sourced answer must say so.

When your agent uses it

  • Asking in Chinese how to install or configure QwenPaw
  • Checking which dependencies or environment settings QwenPaw needs
  • Getting a copyable command or config snippet taken from the QwenPaw docs

Example prompts

  • “QwenPaw 怎么安装?需要哪些依赖?”
  • “Tell me in English where the QwenPaw initialization steps are documented.”
  • “What do I need to tell you so you can fix my QwenPaw environment error?”

Requirements

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

What it can do on your machine

Read from SKILL.md and the folder at commit 3b961b7. 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 Q&A (Chinese Edition) loads about 689 tokens when it runs. Until then it costs about 17 tokens; SKILL.md has 71 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~17
When it runs · the whole SKILL.md, loaded when a task matches
~689

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 3b961b7, republished under its Apache-2.0 licence (© agentscope-ai). 71 words, ~689 tokens.

Download SKILL.mdSave it as .claude/skills/guidance/SKILL.md (or your agent's skills folder).
name
guidance
description
回答用户关于 QwenPaw 安装与配置的问题:优先定位并阅读本地文档,再提炼答案;若本地信息不足,兜底访问官网文档。
metadata.builtin_skill_version
1.3

QwenPaw 安装与配置问答指南

当用户询问 QwenPaw 的安装、初始化、环境配置、依赖要求、常见配置项 时,使用本 skill。

核心原则:

  • 先查本地文档,再回答
  • 回答要基于已读到的内容,不臆测
  • 回答语言与用户提问语言保持一致

标准流程

第一步:定位文档位置

优先使用内置路径解析(适用于所有安装方式)

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

如果上面获取到了非空路径且目录存在,直接使用,跳到第二步。

如果获取失败(例如旧版本未包含 DOCS_DIR),按以下顺序 fallback:

查找记忆中的文档目录

首先你可以查看memory中是否有文档目录,如果有则直接使用,如果没有则继续执行下一步。

bash
# 获取memory中的文档目录
DOCS_DIR=$(find ~/.qwenpaw/memory/ -type d -name "docs")

如果 memory 中没有文档目录,则继续执行下面的逻辑。

检查项目源码中的文档目录

执行以下脚本逻辑来获取变量 $QWENPAW_ROOT:

bash
# 获取二进制绝对路径
QWENPAW_PATH=$(which qwenpaw 2>/dev/null || whereis qwenpaw | awk '{print $2}')

# 逻辑推导:如果路径包含 .qwenpaw/bin/qwenpaw,则根目录在其上三层
# 例如:/path/to/QwenPaw/.qwenpaw/bin/qwenpaw -> /path/to/QwenPaw
if [[ "$QWENPAW_PATH" == *".qwenpaw/bin/qwenpaw" ]]; then
    QWENPAW_ROOT=$(echo "$QWENPAW_PATH" | sed 's/\/\.qwenpaw\/bin\/qwenpaw//')
else
    # 兜底:尝试获取所在目录的父目录
    QWENPAW_ROOT=$(dirname $(dirname "$QWENPAW_PATH") 2>/dev/null || echo ".")
fi

echo "Detected QwenPaw Root: $QWENPAW_ROOT"

验证并列出文档目录: 使用推导出的 $QWENPAW_ROOT 定位文档:

bash
# 组合标准文档路径
DOCS_DIR="$QWENPAW_ROOT/website/public/docs/"

# 检查路径是否存在并列出文件
if [ -d "$DOCS_DIR" ]; then
    find "$DOCS_DIR" -type f -name "*.md" | head -n 100
else
    # 如果推导路径不对,执行全局模糊搜索
    find "$QWENPAW_ROOT" -type d -name "docs" | grep "website/public/docs"
fi

如果项目文档不存在,搜索工作目录

如果还是找不到文档,搜索 qwenpaw 安装路径下的可用文档内容:

bash
# 寻找 faq.en.md 或 config.zh.md 等特征文件
FILE_PATH=$(find . -type f -name "faq.en.md" -o -name "config.zh.md" | head -n 1)
if [ -n "$FILE_PATH" ]; then
    # 使用 dirname 获取该文件所在的目录
    DOCS_DIR=$(dirname "$FILE_PATH")
fi

如果找到了文档目录,请你记录在 memory 中,格式为:

markdown
# 文档目录
$DOCS_DIR = <doc_path>
第二步:文档检索与匹配

文档文件命名格式为 <topic>.<lang>.md(如 config.zh.md、config.en.md、quickstart.zh.md)。

使用 find 命令在目标目录中列出所有符合后缀的文档,并根据文件名关键字(如 install, env, setup)锁定目标作为 <doc_path>。

bash
# 列出所有符合后缀的文档
find $DOCS_DIR -type f -name "*.md"

如果没有合适的文档,则在下一步阅读所有文档内容。

第三步:阅读文档内容

找到候选文档后,读取并确认与问题相关的段落。可使用:

  • cat <doc_path>
  • file_reader skill(推荐用于更长文档或分段读取)

如果文档很长,优先读取和问题最相关的章节(安装步骤、配置项、示例命令、注意事项、版本要求)。

第四步:提取信息并作答

从文档中提取关键信息,组织成可执行答案:

  • 先给直接结论
  • 再给步骤/命令/配置示例
  • 补充必要前置条件与常见坑

语言要求:回答语言必须与用户提问语言一致(中文问就中文答,英文问就英文答)。

第五步(可选):官网检索

若前面步骤无法完成(本地无文档、文档缺失、信息不足),使用官网作为兜底:

基于官网可获得内容继续回答,并在答案中明确说明该结论来自官网文档。

输出质量要求

  • 不编造不存在的配置项或命令
  • 遇到版本差异时,明确标注“需以当前文档版本为准”
  • 涉及路径、命令、配置键时,尽量给可复制的原文片段
  • 若信息仍不足,明确缺口并告诉用户还需要哪类信息(例如操作系统、安装方式、报错日志)

© 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-zh of agentscope-ai/QwenPaw.

Open the folder on GitHubat commit 3b961b7

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.

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Wxo BuilderIBM/ibm-watsonx-orchestrate-adk178—~6.8kAutomated safety check: NotesMIT
Mini Context Graphgithub/awesome-copilot40k1 repos~2kAutomated safety check: PassMIT
Modeling Threats With Openctimukul975/Anthropic-Cybersecurity-Skills34k—~2.8kAutomated safety check: NotesApache-2.0

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Works with

Questions about QwenPaw Setup Q&A (Chinese Edition)

What does QwenPaw Setup Q&A (Chinese Edition) do?

Chinese-language edition of the QwenPaw setup Q&A skill: it checks local docs before answering, replies in the asker's language and falls back to the official site. This variant covers the same ground as the English guidance skill for QwenPaw, with its instructions written in Chinese.io when local material is missing or incomplete.

When should I use QwenPaw Setup Q&A (Chinese Edition)?

QwenPaw Setup Q&A (Chinese Edition) fits situations like: asking in Chinese how to install or configure QwenPaw; checking which dependencies or environment settings QwenPaw needs; getting a copyable command or config snippet taken from the QwenPaw docs.

How do I install QwenPaw Setup Q&A (Chinese Edition) 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-zh 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 Q&A (Chinese Edition) in Codex?

Run `npx skills add agentscope-ai/QwenPaw --skill guidance -a codex`. Or copy the skill folder (src/qwenpaw/agents/skills/guidance-zh 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 Q&A (Chinese Edition) 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 Q&A (Chinese Edition) need to run?

Going by SKILL.md and its folder, QwenPaw Setup Q&A (Chinese Edition) 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 Q&A (Chinese Edition) 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 Q&A (Chinese Edition) 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 Q&A (Chinese Edition) use?

QwenPaw Setup Q&A (Chinese Edition) 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 Q&A (Chinese Edition) use?

About 689 tokens (SKILL.md is roughly 2.8k 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 Q&A (Chinese Edition)?

Skills that share tags, products or a category with QwenPaw Setup Q&A (Chinese Edition): Knowledge Search (dataelement/bisheng, 12k stars), LLM Wiki Knowledge Graph (Egonex-AI/Understand-Anything, 86k stars), Wxo Builder (IBM/ibm-watsonx-orchestrate-adk, 178 stars) and Mini Context Graph (github/awesome-copilot, 40k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains QwenPaw Setup Q&A (Chinese Edition)?

agentscope-ai (a GitHub organization) maintains it in agentscope-ai/QwenPaw, which has 35,548 GitHub stars. The repository holds 20 skills in this directory. The repository was last updated on October 10, 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.