Agent skill

AI Shifu Course Creator

by infometa in infometa/workbuddyskills

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…

No licenceAuto-check: notesDevOps & Cloud

Install AI Shifu Course Creator

skills CLI
$ npx skills add infometa/workbuddyskills --skill ai-shifu-course-creator -a claude-code

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

GitHub CLI
$ gh skill install infometa/workbuddyskills ai-shifu-course-creator --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/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-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
ai-shifu-course-creator
GitHub stars
348
Token cost
~7.8k tokens
SKILL.md length
3,437 words
Files
26 (incl. scripts, references)
Skills in repo
218
Repo updated
First seen
Licence
None found

At a glance

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…

  • Works in 5 steps: Script style: directive, not manuscript.… → Interaction syntax: prompt outside,… → Mandatory anchoring + downstream effect.… → …
  • The user works with AI-Shifu (AI师傅) courses in any capacity of creating
  • SKILL.md covers Support & Contact, Execution Modes, Cross-File Concept Routing and Authoring Control Inputs, plus 7 more sections
  • Calls python3; reaches resource.ai-shifu.cn; needs SHIFU_TOKEN

What it does

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.

When your agent uses it

  • 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

Example prompts

  • “/ai-shifu-course-creator”

Workflow steps

5 steps, taken from the first numbered list in SKILL.md.

  1. Script style: directive, not manuscript. Write in imperative, model-guiding language ("Ask the learner to …", "After collecting {{var}}…
  2. Interaction syntax: prompt outside, options inside. Keep the learner-facing question on the line before the interaction; put only option…
  3. Mandatory anchoring + downstream effect. After every interaction, restate the learner's selection as an instruction (Restate the learner's…
  4. Visuals: two regimes — "no asset" vs "asset uploaded".
  5. Output language must be resolved before any prompt content. Run Language Resolution per references/data-contracts.md#language-resolution…

What it can do on your machine

Read from SKILL.md and the folder at commit 91b77ea. 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

    Ships 1 file in scripts/, which the agent can run.

    Shell commands in SKILL.md call:

    • python3

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

  • Network

    Hosts in commands or code, which the agent is likely to contact:

    • resource.ai-shifu.cn

    Also links to:

    • ai-shifu.cn

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

  • Credentials

    Names these keys or tokens, usually read from environment variables:

    • SHIFU_TOKEN

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

Context cost

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.

Always · name and description, kept in context so the agent knows when to use it
~242
When it runs · the whole SKILL.md, loaded when a task matches
~7.8k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~44k

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: notes

The automated check noted patterns worth knowing about, such as sudo or a known installer.

  • NoteMentions a .env fileSKILL.md:137
    the Deployment authentication (token in `.env`); resolves `shifu_bid` via CLI `list` and outline via CLI `show`; runs DS
  • NoteMentions a .env fileSKILL.md:381
    reuse 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.

SKILL.md

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.”

— opening of SKILL.md by infometa
name
ai-shifu-course-creator
version
1.0.0
display_name
AI师傅课程创作
display_name_en
AI Shifu Course Creator
description_zh
AI师傅课程全生命周期管理,支持创建、编写、优化、部署及数据分析互动课程。
description_en
Full lifecycle management for AI-Shifu courses — create, write, optimize, deploy, and analyze interactive courses with MarkdownFlow.
visibility
public

Read the full SKILL.md on GitHub

Files

SKILL.md and 25 other files (scripts, references) in skills/ai-shifu-course-creator of infometa/workbuddyskills.

  • SKILL.md
  • examples/deploy-only.md
  • examples/end-to-end-deploy.md
  • examples/fallback-mode.md
  • examples/generation-only.md
  • examples/optimization-only.md
  • examples/pipeline-full.md
  • examples/segmentation-only.md
  • references/analytics/dsl.md
  • references/analytics/overview.md
  • references/analytics/privacy-and-presentation.md
  • references/analytics/recipes.md
  • references/analytics/tables.md
  • references/cli/cli-reference.md
  • references/cli/course-directory-spec.md
  • references/cli/import-json-format.md
  • references/course-prompt.md
  • … and 9 more

Open the folder on GitHubat commit 91b77ea

Compare with similar skills

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.

AI Shifu Course Creator compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
AI Shifu Course Creator this skillinfometa/workbuddyskills348—~7.8kAutomated safety check: NotesNone
Monitor CInrwl/nx29k6 repos~4.7kAutomated safety check: PassMIT
Terraform and OpenTofu Guideagentscope-ai/QwenPaw36k6 repos~4.2kAutomated safety check: PassApache-2.0
Vercel Optimize Auditvercel-labs/agent-skills32k8 repos~4.3kAutomated safety check: PassNone
Analyze GitHub Action Logswithastro/astro63k1 repos~1.3kAutomated safety check: PassCustom licence
Openclaw Live Updateropenclaw/openclaw392k—~3.7kAutomated safety check: PassMIT

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Categories

Questions about AI Shifu Course Creator

What does AI Shifu Course Creator do?

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).

When should I use AI Shifu Course Creator?

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.

How do I install AI Shifu Course Creator in Claude Code?

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.

How do I install AI Shifu Course Creator in Codex?

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.

Can I use AI Shifu Course Creator 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 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.

What does AI Shifu Course Creator need to run?

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.

Does AI Shifu Course Creator access the network?

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.

Is AI Shifu Course Creator safe to install?

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.

What licence does AI Shifu Course Creator use?

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.

How many tokens does AI Shifu Course Creator use?

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.

What are the alternatives to AI Shifu Course Creator?

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.

Who maintains AI Shifu Course Creator?

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.