Agent skill

Mc Cooking Coach

by receptron in receptron/mulmoclaude

Personal recipe book — save / read / update / delete cooking recipes as markdown files under data/cooking/recipes/, with a README.md index that lists every recipe.

MITAuto-check passedDevelopment

Install Mc Cooking Coach

skills CLI
$ npx skills add receptron/mulmoclaude --skill mc-cooking-coach -a claude-code

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

GitHub CLI
$ gh skill install receptron/mulmoclaude mc-cooking-coach --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/receptron/mulmoclaude.git skills-src && mkdir -p .claude/skills && cp -r skills-src/packages/core/assets/skills-preset/mc-cooking-coach .claude/skills/mc-cooking-coach && 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
mc-cooking-coach
GitHub stars
371
Token cost
~1.9k tokens
SKILL.md length
932 words
Files
1
Skills in repo
17
Repo updated
First seen
Licence
MIT

At a glance

Personal recipe book — save / read / update / delete cooking recipes as markdown files under data/cooking/recipes/, with a README.md index that lists every recipe.

  • The user asks to remember a recipe
  • SKILL.md covers Where things live, Workflow 1: save a new recipe, Workflow 2: recall / browse and Workflow 3: update / delete, plus 3 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
  • Tasks that involve Technical documentation

What it does

Mc Cooking Coach is an agent skill from receptron/mulmoclaude. Personal recipe book — save / read / update / delete cooking recipes as markdown files under data/cooking/recipes/, with a README.md index that lists every recipe. Use when the user asks to remember a recipe, look one up, or refine one.

Its SKILL.md is about 1.9k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Development, covering Technical documentation. The repository describes itself as: Nurture your own AI assistant on your own computer. Local-first and MIT: memories, data and apps stay as plain files in your workspace. Chat summons the right GUI — wiki… The licence is MIT.

When your agent uses it

  • The user asks to remember a recipe
  • Tasks that involve Technical documentation

Example prompts

  • “/mc-cooking-coach”

What it can do on your machine

Read from SKILL.md and the folder at commit 985797a. 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

    No scripts in the folder and no shell commands in SKILL.md (its code samples are markdown and bash).

    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

Mc Cooking Coach loads about 1.9k tokens when it runs. Until then it costs about 64 tokens; SKILL.md has 932 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~64
When it runs · the whole SKILL.md, loaded when a task matches
~1.9k

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 receptron/mulmoclaude at commit 985797a, republished under its MIT licence (© receptron). 932 words, ~1,922 tokens.

Download SKILL.mdSave it as .claude/skills/mc-cooking-coach/SKILL.md (or your agent's skills folder).
name
mc-cooking-coach
description
Personal recipe book — save / read / update / delete cooking recipes as markdown files under `data/cooking/recipes/`, with a `README.md` index that lists every recipe. Use when the user asks to remember a recipe, look one up, or refine one.

Cooking Coach

A bundled MulmoClaude preset skill (mc- prefix = launcher-managed; do not edit this file in the workspace, it is overwritten on every server boot).

Be the user's cooking-loving friend, not a librarian. Don't talk about file paths, frontmatter, or slugs — those exist behind the scenes; the user should never need to think about them. When suggesting substitutions or technique, keep it short and practical.

Where things live

Recipes are plain markdown files at data/cooking/recipes/<slug>.md (cwd-relative — the agent runs with cwd = workspace, so every path in this file is plain cwd-relative). A README.md in the same directory is the catalogue — one bullet per recipe. You maintain both. The user should never need to know either path.

Workflow 1: save a new recipe

Triggers: "ピーマンの肉詰めのレシピを保存して", "remember this lasagna", "こんど作る用に肉じゃがメモして".

Step 1 — distil before writing. Ask follow-ups only if essential (ingredients you couldn't infer, servings if the user implied "for the family" etc.). Don't ping-pong on metadata; default servings, prepTime, cookTime to what the user said and skip them if they didn't say.

Step 2 — pick a kebab-case ASCII slug. ピーマンの肉詰め → stuffed-peppers or piman-no-nikuzume. Use a romanised form even when the title is non-ASCII.

The slug MUST match the pattern ^[a-z0-9]+(-[a-z0-9]+)*$ — lowercase ASCII letters / digits, single hyphens between segments only, no leading / trailing / consecutive hyphens, no whitespace, no punctuation (no apostrophes, parentheses, accents). Max 64 characters. If the romanisation has any of those, strip / replace them before saving. The strict pattern is also a safety boundary: it's how the delete workflow below stays free of shell- metacharacter concerns.

If a recipe with that slug already exists, ask the user (don't overwrite without permission).

Step 3 — Write the recipe file at data/cooking/recipes/<slug>.md:

markdown
---
title: ピーマンの肉詰め
tags:
  - 和食
  - 主菜
servings: 4
prepTime: 15
cookTime: 20
restTime: 0
created: 2026-05-11T12:00:00.000Z
updated: 2026-05-11T12:00:00.000Z
---

## 材料

- ピーマン 8個
- 合いびき肉 300g
- 玉ねぎ 1個
- 卵 1個
- パン粉、塩こしょう

## 手順

1. ピーマンを縦半分に切って種を取る
2. 玉ねぎをみじん切りにして炒める
3. ひき肉だねをピーマンに詰める
4. フライパンで両面焼く

## メモ

味噌だれや甘酢あんかけにアレンジしてもよい。

Title can be in the user's language. Body convention: ## 材料 (or ## Ingredients) as a bullet list with quantities, then ## 手順 (or ## Steps) as a numbered list, then optional ## メモ / ## Notes / ## バリエーション sections.

servings, prepTime, cookTime, restTime are all integers (in minutes for the time fields) and all optional — omit if the user didn't volunteer them. restTime covers non-active time like marinating, chilling, proofing, resting — anything where the user isn't doing work; keep cookTime for active cooking only so totals stay accurate. tags is a free-form list. created and updated are ISO timestamps; on a fresh save they're the same.

Step 4 — regenerate data/cooking/recipes/README.md (see "The README index" below).

Step 5 — confirm: one sentence ("Saved as stuffed-peppers.") so the user sees the result without scrolling. Offer generateImage if the dish would benefit from a visual (plating, unfamiliar technique).

Workflow 2: recall / browse

Triggers: "保存したレシピみせて", "肉詰めどう作ったっけ?", "what tag-thai recipes do I have?", "show me my recipes".

Single recipe: Read data/cooking/recipes/<slug>.md and present it naturally — render the markdown in chat, don't dump raw frontmatter unless the user asks. If you don't know the slug, Read data/cooking/recipes/README.md first to find it.

All recipes / filtered: Read data/cooking/recipes/README.md and answer from the index. If the user filters by tag ("和食 のレシピは?"), filter the bullets and respond conversationally — don't dump the whole README.

Workflow 3: update / delete

Update: read the current file, apply the change, Write with the updated frontmatter:

  • created stays the same
  • updated advances to the current ISO timestamp
  • preserve every other frontmatter field unless the user explicitly asked to change it (so a "bump cook time to 25 min" doesn't accidentally wipe tags)

Then regenerate README.md.

Delete: only when the user explicitly asks. Re-validate the slug against ^[a-z0-9]+(-[a-z0-9]+)*$ BEFORE running the command — if it fails the pattern, refuse and ask the user to confirm by name. When valid, quote the path even though the slug pattern already excludes shell metacharacters (belt + braces):

bash
rm "data/cooking/recipes/<slug>.md"

Then regenerate README.md. Confirm afterward.

Show full SKILL.md (330 more words)Show less

Workflow 4: visualise

When the user asks "how does it look?" / "写真みせて" / a step is hard to follow without a picture, call generateImage with a prompt focused on the finished dish — appetising, well-lit, top-down or 3/4 plating shot. One image per request unless they ask for variations.

The README index — keep it current

After every save / update / delete, regenerate data/cooking/recipes/README.md from the recipe files currently in the directory. Enumerate with the Files tool, or with Bash. The enumeration MUST exclude README.md itself — otherwise the index treats its own catalogue as a recipe and emits a self-referential entry. Convenient form:

bash
find data/cooking/recipes -maxdepth 1 -type f -name '*.md' ! -name 'README.md' | sort

(find over ls *.md so an empty directory after a delete doesn't error out on the glob — also keeps the README exclusion explicit.)

Then Read each frontmatter you don't already know.

Format:

markdown
# レシピ一覧

`data/cooking/recipes/` の中身。MulmoClaude が自動更新するので手で編集する場合は
保存後に更新されることを覚えておいてください。

## 主菜

- [ピーマンの肉詰め](stuffed-peppers.md) — 和食 / 4 人分 / 15 + 20 分
- [ラザニア](lasagna.md) — イタリアン / 6 人分 / 30 + 60 分

## 副菜・スープ

- [豚汁](tonjiru.md) — 和食 / 4 人分 / 10 + 20 分

## デザート

- [チョコレートムース](chocolate-mousse.md) — フレンチ / 4 人分 / 20 分 + 冷却 120 分

## (タグ未分類)

- [おにぎり](onigiri.md) — 4 人分 / 15 分

Rules for the README:

  • Group by primary tag (the first item in the recipe's tags) when there's a meaningful taxonomy in use; fall back to "(タグ未分類)" otherwise.
  • One bullet per recipe: [Title](slug.md) — tags / servings / time. Use long-form units in the user's language (人分, 分, mins, etc.). The time column composes prepTime + cookTime (active time only) plus a trailing + rest <restTime> 分 suffix when restTime is present. Examples:
    • all three set: 15 + 20 分 + 冷却 120 分
    • prepTime + cookTime only: 35 分
    • restTime only: 冷却 120 分
    • none set: omit the time column entirely Tags are slash-joined.
  • Don't include created / updated dates — they're noisy and rarely what the user wants to scan for.
  • Alphabetical within each group by display title (Japanese / English collation as it falls out — don't over-engineer).
  • Keep the opening paragraph explaining MulmoClaude maintains it (one short sentence).

If the directory is empty after a delete, write a single-line README pointing at "(まだレシピがありません)" so the user can tell at a glance.

Tone

Conversational. The user is your cooking friend, not your customer. When you suggest a substitution, do it with a one-line "why" ("the lime brightens it — lemon works but skews sour"). Don't recite culinary trivia unless asked.

© receptron, MIT. 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 packages/core/assets/skills-preset/mc-cooking-coach of receptron/mulmoclaude.

Open the folder on GitHubat commit 985797a

Compare with similar skills

Mc Cooking Coach 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.

Mc Cooking Coach compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Mc Cooking Coach this skillreceptron/mulmoclaude371—~1.9kAutomated safety check: PassMIT
WooCommerce Markdown Guidelineswoocommerce/woocommerce11k1 repos~1.7kAutomated safety check: PassCustom licence
Pretty Mermaid Rendererimxv/Pretty-mermaid-skills1.5k—~2kAutomated safety check: PassMIT
Docs Conventionsflet-dev/flet17k—~1.6kAutomated safety check: PassApache-2.0
.NET API Diff Reportsdotnet/core22k—~792Automated safety check: PassMIT
Drawai ReadmeRenaissance-Mind/DrawAI146—~616Automated safety check: PassApache-2.0

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Questions about Mc Cooking Coach

What does Mc Cooking Coach do?

Personal recipe book — save / read / update / delete cooking recipes as markdown files under data/cooking/recipes/, with a README.md index that lists every recipe. Mc Cooking Coach is an agent skill from receptron/mulmoclaude.md index that lists every recipe.

When should I use Mc Cooking Coach?

Mc Cooking Coach fits situations like: the user asks to remember a recipe; tasks that involve Technical documentation.

How do I install Mc Cooking Coach in Claude Code?

Run `npx skills add receptron/mulmoclaude --skill mc-cooking-coach -a claude-code`. Or copy the skill folder (packages/core/assets/skills-preset/mc-cooking-coach in receptron/mulmoclaude) into .claude/skills/mc-cooking-coach in your project. Claude Code loads it when a task matches its description.

How do I install Mc Cooking Coach in Codex?

Run `npx skills add receptron/mulmoclaude --skill mc-cooking-coach -a codex`. Or copy the skill folder (packages/core/assets/skills-preset/mc-cooking-coach in receptron/mulmoclaude) into .agents/skills/mc-cooking-coach in your project. Codex loads it when a task matches its description.

Can I use Mc Cooking Coach 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 receptron/mulmoclaude --skill mc-cooking-coach -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/mc-cooking-coach, .gemini/skills/mc-cooking-coach, .github/skills/mc-cooking-coach and .opencode/skills/mc-cooking-coach in your project.

What does Mc Cooking Coach need to run?

SKILL.md names no scripts, command-line tools or credentials: Mc Cooking Coach is instructions for the agent only.

Does Mc Cooking Coach 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 Mc Cooking Coach 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 Mc Cooking Coach use?

Mc Cooking Coach is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Mc Cooking Coach use?

About 1.9k tokens (SKILL.md is roughly 7.7k 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 Mc Cooking Coach?

Skills that share tags, products or a category with Mc Cooking Coach: WooCommerce Markdown Guidelines (woocommerce/woocommerce, 11k stars), Pretty Mermaid Renderer (imxv/Pretty-mermaid-skills, 1.5k stars), Docs Conventions (flet-dev/flet, 17k stars) and .NET API Diff Reports (dotnet/core, 22k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Mc Cooking Coach?

receptron (a GitHub organization) maintains it in receptron/mulmoclaude, which has 371 GitHub stars. The repository holds 17 skills in this directory. The repository was last updated on October 11, 2026.

Source: receptron/mulmoclaude on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.