Monitor CI
nrwl/nx
Monitor Nx Cloud CI pipeline and handle self-healing fixes. An agent skill from nrwl/nx.
A skill your agent uses when the user works with AI-Shifu (AI师傅) courses in any capacity of creating, writing, editing, rewriting, optimizing, reordering, deploying, publishing, previewing, or…
$ npx skills add infometa/workbuddyskills --skill ai-shifu-course-creator -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install infometa/workbuddyskills ai-shifu-course-creator --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/infometa/workbuddyskills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/ai-shifu-course-creator .claude/skills/ai-shifu-course-creator && 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 "ai-shifu-course-creator" agent skill from https://github.com/infometa/workbuddyskills/tree/main/skills/ai-shifu-course-creator into .claude/skills/ai-shifu-course-creator/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ai-shifu-course-creator", 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/infometa/workbuddyskills/tree/main/skills/ai-shifu-course-creatorType 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 infometa/workbuddyskills --skill ai-shifu-course-creator -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install infometa/workbuddyskills ai-shifu-course-creator --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/infometa/workbuddyskills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/ai-shifu-course-creator .agents/skills/ai-shifu-course-creator && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "ai-shifu-course-creator" agent skill from https://github.com/infometa/workbuddyskills/tree/main/skills/ai-shifu-course-creator into .agents/skills/ai-shifu-course-creator/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ai-shifu-course-creator", 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 infometa/workbuddyskills --skill ai-shifu-course-creator -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install infometa/workbuddyskills ai-shifu-course-creator --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/infometa/workbuddyskills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/ai-shifu-course-creator .cursor/skills/ai-shifu-course-creator && 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 "ai-shifu-course-creator" agent skill from https://github.com/infometa/workbuddyskills/tree/main/skills/ai-shifu-course-creator into .cursor/skills/ai-shifu-course-creator/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ai-shifu-course-creator", 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/infometa/workbuddyskills.git --path skills/ai-shifu-course-creator--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 infometa/workbuddyskills --skill ai-shifu-course-creator -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install infometa/workbuddyskills ai-shifu-course-creator --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/infometa/workbuddyskills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/ai-shifu-course-creator .gemini/skills/ai-shifu-course-creator && 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 "ai-shifu-course-creator" agent skill from https://github.com/infometa/workbuddyskills/tree/main/skills/ai-shifu-course-creator into .gemini/skills/ai-shifu-course-creator/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ai-shifu-course-creator", 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 infometa/workbuddyskills ai-shifu-course-creatorInstalls 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 infometa/workbuddyskills --skill ai-shifu-course-creator -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/infometa/workbuddyskills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/ai-shifu-course-creator .github/skills/ai-shifu-course-creator && 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 "ai-shifu-course-creator" agent skill from https://github.com/infometa/workbuddyskills/tree/main/skills/ai-shifu-course-creator into .github/skills/ai-shifu-course-creator/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ai-shifu-course-creator", 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 infometa/workbuddyskills --skill ai-shifu-course-creator -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install infometa/workbuddyskills ai-shifu-course-creator --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/infometa/workbuddyskills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/ai-shifu-course-creator .opencode/skills/ai-shifu-course-creator && 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 "ai-shifu-course-creator" agent skill from https://github.com/infometa/workbuddyskills/tree/main/skills/ai-shifu-course-creator into .opencode/skills/ai-shifu-course-creator/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ai-shifu-course-creator", 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.
ai-shifu-course-creatorA skill your agent uses when the user works with AI-Shifu (AI师傅) courses in any capacity of creating, writing, editing, rewriting, optimizing, reordering, deploying, publishing, previewing, or…
AI Shifu Course Creator is an agent skill from infometa/workbuddyskills. Use when the user works with AI-Shifu (AI师傅) courses in any capacity of creating, writing, editing, rewriting, optimizing, reordering, deploying, publishing, previewing, or managing Teaching Prompts (per-lesson) and Course Prompts (course-level) — both written in MarkdownFlow (MDF). Covers the full course lifecycle — from converting raw material into structured lessons, to scripting interactions (single-select, multi-select, input, branching), adding variables, images, and course prompts, to deploying and…
Its SKILL.md is about 7.8k tokens, which your agent loads only when the skill is triggered. The skill folder holds 29 other files, including scripts and reference files (for example `examples/deploy-only.md`, `examples/end-to-end-deploy.md` and `examples/fallback-mode.md`).
It sits in DevOps & Cloud. The repository describes itself as: WorkBuddy skills / connectors / experts archive for offline study.
5 steps, taken from the first numbered list in SKILL.md.
Read from SKILL.md and the folder at commit 91b77ea. 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.
Ships 1 file in scripts/, which the agent can run.
Shell commands in SKILL.md call:
python3From the folder's file list and the shell code blocks in SKILL.md.
Hosts in commands or code, which the agent is likely to contact:
resource.ai-shifu.cnAlso links to:
ai-shifu.cnFrom URLs in SKILL.md, links to its own repository left out.
Names these keys or tokens, usually read from environment variables:
SHIFU_TOKENFrom names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
AI Shifu Course Creator loads about 7.8k tokens when it runs, and up to ~44k if it reads all its reference files. Until then it costs about 242 tokens; SKILL.md has 3,437 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 noted patterns worth knowing about, such as sudo or a known installer.
the Deployment authentication (token in `.env`); resolves `shifu_bid` via CLI `list` and outline via CLI `show`; runs DSreuse the Deployment authentication. If `.env` lacks a valid `SHIFU_TOKEN`, guide the user through `shifu-cli.py login`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); the scripts in this folder are not scanned.
Without a licence we can't republish the file, so here is its outline and opening line. It has 3,437 words (~7,834 tokens).
“Convert raw course material into runnable, optimized Teaching Prompts (per-lesson) and a Course Prompt (course-level), then deploy them as a live AI-Shifu course. Both prompt artifacts are written in MarkdownFlow.”
SKILL.md and 25 other files (scripts, references) in skills/ai-shifu-course-creator of infometa/workbuddyskills.
Open the folder on GitHubat commit 91b77ea
AI Shifu Course Creator 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 |
|---|---|---|---|---|---|---|
| AI Shifu Course Creator this skillinfometa/workbuddyskills | 348 | — | ~7.8k | Automated safety check: Notes | None | |
| Monitor CInrwl/nx | 29k | 6 repos | ~4.7k | Automated safety check: Pass | MIT | |
| Terraform and OpenTofu Guideagentscope-ai/QwenPaw | 36k | 6 repos | ~4.2k | Automated safety check: Pass | Apache-2.0 | |
| Vercel Optimize Auditvercel-labs/agent-skills | 32k | 8 repos | ~4.3k | Automated safety check: Pass | None | |
| Analyze GitHub Action Logswithastro/astro | 63k | 1 repos | ~1.3k | Automated safety check: Pass | Custom licence | |
| Openclaw Live Updateropenclaw/openclaw | 392k | — | ~3.7k | Automated safety check: Pass | MIT |
nrwl/nx
Monitor Nx Cloud CI pipeline and handle self-healing fixes. An agent skill from nrwl/nx.
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.
vercel-labs/agent-skills
Runs a metrics-first audit of a deployed Vercel project, gating investigations on real signals to produce ranked, citation-backed cost and performance recommendations.
withastro/astro
Analyze recent GitHub Actions workflow runs to identify patterns, mistakes, and improvements.
openclaw/openclaw
Maintain the canonical live OpenClaw main checkout, macOS LaunchAgent-managed Gateway, local macOS app, exact-head main CI, and recurring full release validation.
netdata/netdata
Use only when the user explicitly asks to build, run, preview, inspect, or validate learn.netdata.cloud locally using the contents of a PR or documentation branch before merge.
infometa/workbuddyskills
This skill should be used when planning, coordinating, running, or reviewing student-led campus events, including club recruitment, freshman mixers, welcome activities, small talks, competitions…
infometa/workbuddyskills
K-12 interactive courseware creation. An agent skill from infometa/workbuddyskills.
infometa/workbuddyskills
A skill your agent uses when the adult weight-management MCP needs to be installed/set up in WorkBuddy (connector) or its result must be rendered as a standalone Chinese HTML plan.
infometa/workbuddyskills
A skill your agent uses when the user needs browser automation, including opening web pages, taking screenshots, extracting page content, clicking elements, filling forms, or testing web flows.
infometa/workbuddyskills
定时任务:每日研究简报。漏掉重要论文和行业报告?每天帮你盯着,关键信息一条不漏 This skill should be used when the user asks about 定时任务:每日研究简报.
infometa/workbuddyskills
Investment banking presentation quality checker. An agent skill from infometa/workbuddyskills.
Categories
A skill your agent uses when the user works with AI-Shifu (AI师傅) courses in any capacity of creating, writing, editing, rewriting, optimizing, reordering, deploying, publishing, previewing, or…. AI Shifu Course Creator is an agent skill from infometa/workbuddyskills. Use when the user works with AI-Shifu (AI师傅) courses in any capacity of creating, writing, editing, rewriting, optimizing, reordering, deploying, publishing, previewing, or managing Teaching Prompts (per-lesson) and Course Prompts (course-level) — both written in MarkdownFlow (MDF).
AI Shifu Course Creator fits situations like: the user works with AI-Shifu (AI师傅) courses in any capacity of creating; managing Teaching Prompts (per-lesson) and Course Prompts (course-level) — both written in MarkdownFlow (MDF); any mention of AI-Shifu; teaching Prompt.
Run `npx skills add infometa/workbuddyskills --skill ai-shifu-course-creator -a claude-code`. Or copy the skill folder (skills/ai-shifu-course-creator in infometa/workbuddyskills) into .claude/skills/ai-shifu-course-creator in your project. Claude Code loads it when a task matches its description.
Run `npx skills add infometa/workbuddyskills --skill ai-shifu-course-creator -a codex`. Or copy the skill folder (skills/ai-shifu-course-creator in infometa/workbuddyskills) into .agents/skills/ai-shifu-course-creator 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 infometa/workbuddyskills --skill ai-shifu-course-creator -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/ai-shifu-course-creator, .gemini/skills/ai-shifu-course-creator, .github/skills/ai-shifu-course-creator and .opencode/skills/ai-shifu-course-creator in your project.
Going by SKILL.md and its folder, AI Shifu Course Creator needs the command-line tools its instructions call (python3) and credentials named SHIFU_TOKEN.
SKILL.md names 2 domains. In commands or code: resource.ai-shifu.cn; the agent is likely to contact it when it follows the instructions. As links in the text: ai-shifu.cn. This is read from the text; nothing was executed.
Our automated static check of SKILL.md found notes only (mentions a .env file), nothing it rates as a warning. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.
No licence was found for AI Shifu Course Creator or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.
About 7.8k tokens (SKILL.md is roughly 31k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 36k tokens, read only when the agent opens those files.
Skills that share tags, products or a category with AI Shifu Course Creator: Monitor CI (nrwl/nx, 29k stars), Terraform and OpenTofu Guide (agentscope-ai/QwenPaw, 36k stars), Vercel Optimize Audit (vercel-labs/agent-skills, 32k stars) and Analyze GitHub Action Logs (withastro/astro, 63k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
infometa (a GitHub user) maintains it in infometa/workbuddyskills, which has 348 GitHub stars. The repository holds 218 skills in this directory. The repository was last updated on October 9, 2026.
Source: infometa/workbuddyskills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.