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 passedDevOps & 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/experts/ai-shifu/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
~2.4k tokens
SKILL.md length
716 words
Files
40 (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 8 steps: Read references/language-policy.md and… → Read references/session-controls.md… → Apply its contact, version-check,… → …
  • The user works with AI-Shifu (AI师傅) courses in any capacity of creating
  • SKILL.md covers Startup Sequence, Task Router, Routing Guardrails and Reporting
  • Managing Teaching Prompts (per-lesson) and Course Prompts (course-level) — both written in MarkdownFlow (MDF)

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 authoring interactions (single-select, multi-select, input, branching), adding variables, images, and course prompts, to deploying and…

Its SKILL.md is about 2.4k tokens, which your agent loads only when the skill is triggered. The skill folder holds 42 other files, including scripts and reference files (for example `CHANGELOG.md`, `references/analytics/dsl.md` and `references/analytics/overview.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

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

  1. Read references/language-policy.md and resolve resolved_target_language before the first user-visible response.
  2. Read references/session-controls.md completely before the first user-visible response.
  3. Apply its contact, version-check, progress/error, and handoff rules.
  4. Classify the request with the routing table below.
  5. Read every file or anchored section listed for the selected Task Router row, then execute the listed stages in order. When one file…
  6. In each selected reference, read the ordered bullets under ## Required References before applying that reference. Resolve those strong…
  7. Load a reference's ## Conditional References only when its stated condition applies. Outside the Task Router, Reporting map, ## Required…
  8. For mixed requests, combine the relevant rows and preserve their dependency order.

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.

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

  • Network

    No URLs in SKILL.md.

    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

AI Shifu Course Creator loads about 2.4k tokens when it runs, and up to ~61k if it reads all its reference files. Until then it costs about 242 tokens; SKILL.md has 716 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
~2.4k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~61k

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); 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 716 words (~2,408 tokens).

“Route each request to the smallest complete instruction set needed to create, edit, optimize, deploy, manage, or analyze an AI-Shifu course. Teaching Prompts and Course Prompts use MarkdownFlow.”

— opening of SKILL.md by infometa
name
ai-shifu-course-creator
version
1.2.4
version_management
plugin

Read the full SKILL.md on GitHub

Files

SKILL.md and 39 other files (scripts, references) in experts/ai-shifu/skills/ai-shifu-course-creator of infometa/workbuddyskills.

  • SKILL.md
  • CHANGELOG.md
  • references/analytics/dsl.md
  • references/analytics/overview.md
  • references/analytics/privacy-and-presentation.md
  • references/analytics/recipes.md
  • references/analytics/tables.md
  • references/analytics/workflow.md
  • references/authentication.md
  • references/authoring-mode.md
  • references/cli/cli-reference.md
  • references/cli/course-directory-spec.md
  • references/course-description.md
  • references/course-design-intake.md
  • references/course-management.md
  • references/course-prompt.md
  • references/course-sync.md
  • references/course-target.md
  • … and 22 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—~2.4kAutomated safety check: PassNone
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 (experts/ai-shifu/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 (experts/ai-shifu/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?

SKILL.md names no scripts, command-line tools or credentials: AI Shifu Course Creator is instructions for the agent only.

Does AI Shifu Course Creator access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. 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 no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. 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 2.4k tokens (SKILL.md is roughly 9.6k 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 59k 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.