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/cook

Implement, build, create, or add any feature, endpoint, page, component, or functionality. Use this skill whenever the user asks you to write new code or make code changes — whether it's adding an API endpoint, building a UI page, creating an export feature, wiring up a webhook,

From plugin
claude-prime
12017 skills
Install
$ npx -y skills add avibebuilder/claude-prime --skill cook --agent claude-code

How it fires

How this skill gets triggered: by you, by Claude, or both.

  • Fires itselfAuto-invocation. Claude auto-loads it when your prompt matches the work.Auto-invocation is when the right skill fires by itself at the right moment, driven by a FLOW.md router and a hook, instead of you invoking it by name. It is the difference between a skill being installed and a skill actually getting used.Read the full definition →
  • You can call itInvoke it directly when you want it.
  • Slash command/cook

Context preview

The summary Claude sees to decide when to auto-load this skill.

Implement, build, create, or add any feature, endpoint, page, component, or functionality. Use this skill whenever the user asks you to write new code or make code changes — whether it's adding an API endpoint, building a UI page, creating an export feature, wiring up a webhook,

SKILL.md

cook.SKILL.md
name: cook
description: "Implement, build, create, or add any feature, endpoint, page, component, or functionality. Use this skill whenever the user asks you to write new code or make code changes — whether it's adding an API endpoint, building a UI page, creating an export feature, wiring up a webhook, implementing a search/filter, or any other hands-on coding task. This is the default skill for all 'build this', 'add this', 'create this', 'wire up', 'implement' requests. Covers the full cycle: clarify requirements, plan if needed, write code, verify, and review. Do NOT use for pure research, debugging, documentation, or explanation — only when the user wants working code delivered."
argument-hint: what-to-implement

ultrathink.

How cook works

Cook is an incremental loop: break work into tasks, implement one, verify it works, move to the next. The key discipline is that nothing is "done" until there's evidence it works — but *how* you verify adapts to the situation.

Before you start

If the request is clear, start. If it's ambiguous or multi-faceted, ask clarifying questions. If the work is large or multi-path, plan first (`/give-plan`). Otherwise, just start.

The loop

1. Break into tasks only when it helps

For a small single-concern request, just implement, verify, and continue.

For multi-step work or collaboration, use `.claude/scripts/tasks.py` to track concrete outcomes. Task files persist in `.tasks/`, so a fresh context can pick up where the last one left off.

Every task requires three fields: `title`, `desc`, `expected`. Read the authoring rubric before writing tasks — bad tasks are worse than no tasks:

  • `.claude/scripts/tasks.py --help` for the short-form rubric and examples
  • `.claude/scripts/tasks-authoring.md` for the full guide
.claude/scripts/tasks.py --task-file <slug> add "<title>" "<desc>" "<expected>"
.claude/scripts/tasks.py --task-file <slug> list
.claude/scripts/tasks.py --task-file <slug> verify <id> "<evidence>"
.claude/scripts/tasks.py --task-file <slug> done <id>

2. Implement → Verify → Review → Next

Pick the next unblocked task, make the change, then hand off to a **tester** and (for risky work) a **reviewer** — isolated teammates that judge the change independently. See `.claude/skills/test/teammate.md` and `.claude/skills/review-code/teammate.md` for how to spawn them.

`/cook` owns implementation. The tester owns verification. Give the tester:

  • the user-visible claim or acceptance criteria
  • the files or behavior you changed
  • the most likely regression surface
  • any constraints that matter

You can still add durable tests, fixtures, or stable selectors when they belong to the product change itself. Do not stuff temporary verification tactics into `/cook` just to get through one run.

Before invoking verification, confirm the edits actually landed on disk. If the change you expect is missing from the diff, fix that first; a passing check against unchanged code is worthless evidence.

Do not mark a task done on confidence alone. The tester proves the behavior. The reviewer checks that the implementation is correct, scoped, and aligned with the repo. For risky or non-trivial work, spawn a reviewer before marking the task complete.

Update task status as you go so the execution trail stays trustworthy.

3. Review the whole change set

After the task list is complete, review the combined diff before declaring success. Cross-task issues often appear only in the final aggregate: mismatched assumptions, naming drift, incomplete ripple updates, or verification that was too narrow. Spawn a reviewer for this final pass.

4. Report

When done, summarize:

  • what changed
  • how each claim was verified
  • decisions that materially shaped the implementation
  • any follow-up the user should know about

Request

<request>$ARGUMENTS</request>

Read more
Ships withclaude-prime

Open source Claude Code toolkit for developers who want repeatable AI coding workflows instead of prompt chaos.

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Python
Language
MIT
License
4mo ago
Last commit
6mo ago
Created

Repo: avibebuilder/claude-prime

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