LLM Wiki Knowledge Graph
Egonex-AI/Understand-Anything
Detects a Karpathy-pattern LLM wiki and builds an interactive knowledge graph with entities, implicit relationships and topic clusters.
Answers questions about installing and configuring QwenPaw by locating and reading its local documentation first, with the official website as a fallback.
$ npx skills add agentscope-ai/QwenPaw --skill guidance -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install agentscope-ai/QwenPaw guidance --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ 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-srcUse ~/.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/
Install the "guidance" agent skill from https://github.com/agentscope-ai/QwenPaw/tree/main/src/qwenpaw/agents/skills/guidance-en into .claude/skills/guidance/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "guidance", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/agentscope-ai/QwenPaw/tree/main/src/qwenpaw/agents/skills/guidance-enType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add agentscope-ai/QwenPaw --skill guidance -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install agentscope-ai/QwenPaw guidance --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/agentscope-ai/QwenPaw.git skills-src && mkdir -p .agents/skills && cp -r skills-src/src/qwenpaw/agents/skills/guidance-en .agents/skills/guidance && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "guidance" agent skill from https://github.com/agentscope-ai/QwenPaw/tree/main/src/qwenpaw/agents/skills/guidance-en into .agents/skills/guidance/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "guidance", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add agentscope-ai/QwenPaw --skill guidance -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install agentscope-ai/QwenPaw guidance --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/agentscope-ai/QwenPaw.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/src/qwenpaw/agents/skills/guidance-en .cursor/skills/guidance && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "guidance" agent skill from https://github.com/agentscope-ai/QwenPaw/tree/main/src/qwenpaw/agents/skills/guidance-en into .cursor/skills/guidance/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "guidance", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/agentscope-ai/QwenPaw.git --path src/qwenpaw/agents/skills/guidance-en--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add agentscope-ai/QwenPaw --skill guidance -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install agentscope-ai/QwenPaw guidance --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/agentscope-ai/QwenPaw.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/src/qwenpaw/agents/skills/guidance-en .gemini/skills/guidance && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "guidance" agent skill from https://github.com/agentscope-ai/QwenPaw/tree/main/src/qwenpaw/agents/skills/guidance-en into .gemini/skills/guidance/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "guidance", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install agentscope-ai/QwenPaw guidanceInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add agentscope-ai/QwenPaw --skill guidance -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/agentscope-ai/QwenPaw.git skills-src && mkdir -p .github/skills && cp -r skills-src/src/qwenpaw/agents/skills/guidance-en .github/skills/guidance && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "guidance" agent skill from https://github.com/agentscope-ai/QwenPaw/tree/main/src/qwenpaw/agents/skills/guidance-en into .github/skills/guidance/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "guidance", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add agentscope-ai/QwenPaw --skill guidance -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install agentscope-ai/QwenPaw guidance --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/agentscope-ai/QwenPaw.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/src/qwenpaw/agents/skills/guidance-en .opencode/skills/guidance && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "guidance" agent skill from https://github.com/agentscope-ai/QwenPaw/tree/main/src/qwenpaw/agents/skills/guidance-en into .opencode/skills/guidance/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "guidance", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
guidanceAnswers 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.
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.
5 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit d7a0f50. It shows what the files ask for, not the result of running them.
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.
Shell commands in SKILL.md call:
python3From the folder's file list and the shell code blocks in SKILL.md.
Links to these hosts (documentation or services it may open):
qwenpaw.agentscope.ioFrom URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
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.
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.
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.
The full file from agentscope-ai/QwenPaw at commit d7a0f50, republished under its Apache-2.0 licence (© agentscope-ai). 509 words, ~1,430 tokens.
.claude/skills/guidance/SKILL.md (or your agent's skills folder).Use this skill when the user asks about QwenPaw installation, initialization, environment configuration, dependency requirements, or common configuration options.
Core principles:
Use built-in path resolution (works for all install methods)
DOCS_DIR=$(python3 -c "from qwenpaw.constant import DOCS_DIR; print(DOCS_DIR or '')" 2>/dev/null)If the above returns a non-empty path and the directory exists, use it directly and skip to Step 2.
If it fails (e.g., older version without DOCS_DIR), fall back in the following order:
Check for documentation directory in memory
First, check whether there is a documentation directory in memory. If found, use it directly; otherwise, proceed to the next step.
# Get the documentation directory from memory
DOCS_DIR=$(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 $QWENPAW_ROOT:
# Get the absolute path of the binary
QWENPAW_PATH=$(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 $QWENPAW_ROOT to locate the documentation:
# Construct the standard documentation path
DOCS_DIR="$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 "$QWENPAW_ROOT" -type d -name "docs" | grep "website/public/docs"
fiIf project documentation does not exist, search the working directory
If documentation is still not found, search for available documentation content under the qwenpaw installation path:
# Look for characteristic files such as faq.en.md or config.zh.md
FILE_PATH=$(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")
fiIf a documentation directory is found, save it in memory in this format:
# Documentation Directory
$DOCS_DIR = <doc_path>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).
# 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.
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).
Extract key information from the documentation and organize it into an actionable answer:
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).
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.
© 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
Just SKILL.md in src/qwenpaw/agents/skills/guidance-en of agentscope-ai/QwenPaw.
Open the folder on GitHubat commit d7a0f50
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.
QwenPaw Setup Guide next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| QwenPaw Setup Guide this skillagentscope-ai/QwenPaw | 36k | — | ~1.4k | Automated safety check: Pass | Apache-2.0 | |
| LLM Wiki Knowledge GraphEgonex-AI/Understand-Anything | 86k | — | ~1.5k | Automated safety check: Pass | MIT | |
| Wxo BuilderIBM/ibm-watsonx-orchestrate-adk | 178 | — | ~6.8k | Automated safety check: Notes | MIT | |
| Mini Context Graphgithub/awesome-copilot | 40k | 1 repos | ~2k | Automated safety check: Pass | MIT | |
| Modeling Threats With Openctimukul975/Anthropic-Cybersecurity-Skills | 34k | — | ~2.8k | Automated safety check: Notes | Apache-2.0 | |
| Kb Refreshtechwolf-ai/ai-first-toolkit | 132 | — | ~1.3k | Automated safety check: Pass | MIT |
Egonex-AI/Understand-Anything
Detects a Karpathy-pattern LLM wiki and builds an interactive knowledge graph with entities, implicit relationships and topic clusters.
IBM/ibm-watsonx-orchestrate-adk
A skill your agent uses when building, testing, debugging, or publishing IBM watsonx Orchestrate agents, tools, flows, connections, knowledge bases, or custom models with the orchestrate CLI or ADK…
github/awesome-copilot
A persistent, compounding knowledge base combining Karpathy's LLM Wiki pattern with a structured knowledge graph.
mukul975/Anthropic-Cybersecurity-Skills
Deploy OpenCTI (Filigran) via Docker Compose and use the pycti Python client to model threat actors, intrusion sets, campaigns, and indicators as a STIX 2.1 knowledge graph with relationships (uses…
techwolf-ai/ai-first-toolkit
Add new sources to your knowledge base or re-scrape existing ones to pick up changes.
HKUDS/DeepTutor
Teaches the agent to set up and run DeepTutor from the command line: chat and capabilities, knowledge bases, partners, memory, sessions, notebooks and the server or Web app.
agentscope-ai/QwenPaw
Guidance for writing and testing Terraform and OpenTofu code: module structure, naming, test approaches, CI/CD workflows, state handling and security scanning.
agentscope-ai/QwenPaw
Turns reusable decisions, templates or workflows from the current conversation into a new workspace skill through plan, approval, draft, validation and publication.
agentscope-ai/QwenPaw
Creates a focused workspace skill from the current conversation in QwenPaw, moving through a planning, approval, drafting, validation and publishing script pipeline.
agentscope-ai/QwenPaw
Creates and manages scheduled or recurring jobs with the qwenpaw cron commands, always tied to an explicit agent ID and a confirmed target channel.
agentscope-ai/QwenPaw
Creates, reads and edits Word .docx files, including tracked changes and comments, using docx-js for new files and XML editing for existing ones.
agentscope-ai/QwenPaw
Connects, registers, and operates a personal mailbox, reading, searching, sending, and organizing, through a managed mail server for nine domains.
Works with
Categories
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.
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.
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.
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.
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.
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.
SKILL.md names 1 domain. As links in the text: qwenpaw.agentscope.io. This is read from the text; nothing was executed.
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.
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.
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.
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.
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.