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Agent Skill · 研究检索

cookoff(cookoff 搜索)

cookoff 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

cookoff 是研究检索类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为只读;许可证信息还不明确,第三方扫描已通过,按安装量在研究检索类的 73,675 个 Skill 里排第 64,698。

总安装 294周安装 12GitHub Stars 31下载 94核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
unknown

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:cookoff(cookoff 搜索)
来源仓库:https://github.com/2389-research/claude-plugins
仓库路径:skills/cookoff
安装命令:
npx skills add https://github.com/2389-research/claude-plugins --skill cookoff
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/2389-research/claude-plugins --skill cookoff

这个 Skill 是做什么的

研究检索类 Skill 主要解决「找资料、核对事实、把来源整理清楚」的问题,通常会让助手先检索再总结。

Cookoff 模式允许多个独立团队基于同一设计文档各自规划与实施解决方案。适用于探索同一功能的不同实现路径,激发自然变异与技术多样性。每个团队自主生成计划并编码,杜绝共享预设实现,确保真实创新空间。常用于 Test Kitchen Development 中的对比实验,需记录各方案差异点供复盘。

cookoff 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

来源仓库内路径:skills/cookoff

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 Codex、Claude、Cursor、Gemini CLI;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 npx skills add https://github.com/2389-research/claude-plugins --skill cookoff;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它标注为只读,先用只读任务试一次,确认行为符合预期再扩大使用范围。

常见问题

6 条

cookoff 怎么安装?

在终端执行 npx skills add https://github.com/2389-research/claude-plugins --skill cookoff。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

cookoff 支持哪些 AI 工具?

公开资料标注支持 Codex、Claude、Cursor、Gemini CLI。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

cookoff 需要什么权限?

权限级别是只读。该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

cookoff 是免费的吗?

公开资料没有标注明确许可证,收费和商用限制都无法确认。正式使用前请到来源仓库核对授权说明。

cookoff 用的人多吗?

公开数据是累计安装 294 次,近一周安装 12 次,下载 94 次,GitHub 31 星。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

cookoff 安全吗?

第三方扫描结果为通过,但这只覆盖已知的静态检查项,不能替代自己读一遍源码和安装命令。

值得选的地方和要先想清楚的地方

值得选的地方

  • 同时适配 4 种工具,换客户端不用重新找替代品。
  • 第三方扫描已通过,常见的高风险行为没有命中。
  • 标注为只读权限,试用阶段不容易误改本地文件。

先想清楚的地方

  • 许可证没有明确标注,能不能商用、能不能再分发都不确定。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 Codex,想直接扩展它能力的人。
  • 需要处理研究检索类任务、又不想每次都手写提示词的人。
  • 只想先试试效果、不希望它改动本地文件的人。

不太适合

  • 需要明确授权才能用到公司项目里的场景。
  • 需要厂商级技术支持和 SLA 的生产系统。

研究检索类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
find-skills

寻找技能 · Codex、Claude

31,199,81316,486操作浏览器MIT有提醒
self-improving-agent

自我改进 Agent · OpenClaw

16,464,0023,396接触敏感数据MIT-0通过
soultrace

灵魂追踪 · Codex、Claude

7,588,94412需要联网未明确有提醒
self-improving

自我完善 · OpenClaw

6,829,2841,046需要联网MIT-0通过
microsoft-foundry

微软代工厂 · Codex、Claude

6,614,144764调用外部服务未明确有提醒
cookoff

cookoff 搜索 · 本页

29431只读未明确通过

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

Cookoff

Same design, multiple cooks compete. Each implementation team creates their own plan from the shared design, then implements it. Natural variation emerges from independent planning decisions.

Part of Test Kitchen Development:

  • omakase-off - Chef's choice exploration (different approaches/designs)
  • cookoff - Same design, multiple cooks compete (each creates own plan + implements)

Key insight: Don't share a pre-made implementation plan. Each agent generates their own plan from the design doc, ensuring genuine variation.

Directory Structure

docs/plans/<feature>/
  design.md                    # Input: from brainstorming
  cookoff/
    impl-1/
      plan.md                  # Agent 1's implementation plan
    impl-2/
      plan.md                  # Agent 2's implementation plan
    impl-3/
      plan.md                  # Agent 3's implementation plan
    result.md                  # Cookoff results and winner

Skill Dependencies

ReferencePrimary (if installed)Fallback
writing-planssuperpowers:writing-plansEach agent writes their own implementation plan
executing-planssuperpowers:executing-plansExecute plan tasks sequentially with verification
parallel-agentssuperpowers:dispatching-parallel-agentsDispatch multiple Task tools in single message
git-worktreessuperpowers:using-git-worktreesgit worktree add.worktrees/<name> -b <branch>
tddsuperpowers:test-driven-developmentRED-GREEN-REFACTOR cycle
verificationsuperpowers:verification-before-completionRun command, read output, THEN claim status
fresh-eyesfresh-eyes-review:skills (2389)2-5 min review for security, logic, edge cases
judgetest-kitchen:judgeScoring framework with checklists (MUST invoke at Phase 4)
code-reviewsuperpowers:requesting-code-reviewDispatch code-reviewer subagent
scenario-testingscenario-testing:skills (2389).scratch/ E2E scripts, real dependencies
finish-branchsuperpowers:finishing-a-development-branchVerify tests, present options, cleanup

When to Use

Trigger when user wants to implement a design:

  • "Execute this plan" / "Implement the plan" / "Let's build this"
  • After brainstorming completes and design doc exists
  • Can also invoke explicitly: "cookoff this"

Important: Cookoff works from a design doc, not a detailed implementation plan. Each agent creates their own implementation plan.

Detecting the Design-to-Implementation Transition

Cookoff triggers at a SITUATION, not a specific skill's output.

The situation: Design is complete, implementation is about to start.

Signals that design phase just completed:

  • Design doc was written/committed
  • User approved a design ("looks good", "yes", "let's do it")
  • Discussion shifted from "what to build" to "how to build it"
  • Any skill/flow is about to start implementation

When you detect this transition, ALWAYS offer cookoff:

Before we start implementation, how would you like to proceed?

1. Cookoff (recommended) - N parallel agents, each creates own plan, pick best
   → Complexity: [assess from design]
   → Best for: medium-high complexity features
2. Single implementation - One agent/session implements
3. Direct coding - Start coding without detailed plan

This applies regardless of:

  • Which brainstorming skill was used (superpowers, other, or none)
  • Whether a formal design doc exists (could be informal agreement)
  • What implementation options another skill might present

The key insight: We're not injecting into another skill's menu. We're recognizing a SITUATION (design→implementation) and ensuring cookoff is offered at that moment.

Phase 1: Implementation Options

Present choices when user wants to implement:

How would you like to implement this design?

1. Single subagent - One agent plans and implements
2. Cookoff - N parallel agents, each creates own plan, pick best
   → Complexity: [assess from design]
   → Recommendation: N implementations
3. Local - Plan and implement here in this session

Which approach?

Routing:

  • Option 1: Single agent uses writing-plans then executing-plans, cookoff exits
  • Option 2: Continue to Phase 2
  • Option 3: User implements manually, cookoff exits

Phase 2: Complexity Assessment

Read design doc and assess:

  • Feature scope (components, integrations, data models)
  • Risk areas (auth, payments, migrations, concurrency)
  • Estimated implementation size

Map to implementation count:

ComplexityScopeRisk signalsImplementations
LowSmall featureNone2
MediumMedium featureSome3
HighLarge featureSeveral4
Very highMajor systemCritical areas5

Setup directories:

mkdir -p docs/plans/<feature>/cookoff/impl-{1,2,3}

Announce:

Complexity assessment: medium feature, touches auth
Spawning 3 parallel implementations
Each will create their own implementation plan from the design.

Phase 3: Parallel Execution

Setup worktrees:

.worktrees/cookoff-impl-1/
.worktrees/cookoff-impl-2/
.worktrees/cookoff-impl-3/

Branches:
<feature>/cookoff/impl-1
<feature>/cookoff/impl-2
<feature>/cookoff/impl-3

CRITICAL: Dispatch ALL agents in a SINGLE message

Use parallel-agents pattern. Send ONE message with multiple Task tool calls:

<single message>
  Task(impl-1, run_in_background: true)
  Task(impl-2, run_in_background: true)
  Task(impl-3, run_in_background: true)
</single message>

Do NOT send separate messages for each agent.

Subagent prompt (each gets same instructions with their impl number):

You are implementation team N of M in a cookoff competition.
Other teams are implementing the same design in parallel.
Each team creates their own implementation plan - your approach may differ from others.

**Your working directory:** /path/to/.worktrees/cookoff-impl-N
**Design doc:** docs/plans/<feature>/design.md
**Your plan location:** docs/plans/<feature>/cookoff/impl-N/plan.md

**Your workflow:**
1. Read the design doc thoroughly
2. Use writing-plans skill to create YOUR implementation plan
   - Save to: docs/plans/<feature>/cookoff/impl-N/plan.md
   - Make your own architectural decisions
   - Don't try to guess what other teams will do
3. Use executing-plans skill to implement your plan
4. Follow TDD for each task
5. Use verification before claiming done

**Report when done:**
- Plan created: yes/no
- All tasks completed: yes/no
- Test results (npm test output)
- Files changed count
- Any issues encountered

Your goal: best possible implementation. Good luck!

Monitor progress:

Cookoff status (design: auth-system):
- impl-1: planning... → implementing 5/8 tasks
- impl-2: planning... → implementing 3/8 tasks
- impl-3: planning... → implementing 6/8 tasks

Phase 4: Judging

Step 1: Gate check

  • All tests pass
  • Design adherence - implemented what the design specified

Step 2: Check for identical implementations

Before fresh-eyes, diff the implementations:

diff -r .worktrees/cookoff-impl-1/src .worktrees/cookoff-impl-2/src

If implementations are >95% identical, note this - the planning step didn't create enough variation. Still proceed but flag in results.

Step 3: Fresh-eyes on survivors

Starting fresh-eyes review of impl-1 (N files)...
Checking: security, logic errors, edge cases
Fresh-eyes complete: 1 minor issue

Step 4: Invoke Judge Skill

CRITICAL: Invoke test-kitchen:judge now.

The judge skill contains the full scoring framework with checklists. Invoking it fresh ensures the scoring format is followed exactly.

Invoke: test-kitchen:judge

Context to provide:
- Implementations to judge: impl-1, impl-2, impl-3 (or however many)
- Worktree locations: .worktrees/cookoff-impl-N/
- Test results from each implementation
- Fresh-eyes findings from Step 3
- Feasibility flags identified

The judge skill will:

  1. Fill out the complete scoring worksheet for each implementation
  2. Build the scorecard with integer scores (1-5, no half points)
  3. Check hard gates (Fitness Δ≥2, any score=1)
  4. Announce winner with rationale

Do not summarize or abbreviate the scoring. The judge skill output should be the full worksheet.

Cookoff-specific context: In cookoff, all implementations target the same design, so Fitness should be similar. A Fitness gap (Δ≥2) indicates one implementation deviated from or misunderstood the design - not a different approach choice.

Phase 5: Completion

Verification on winner:

Running final verification on winner (impl-2):
- npm test: 22/22 passing ✓
- npm run build: exit 0 ✓
- Design adherence: all requirements met ✓

Verification complete. Winner confirmed.

Winner: Use finish-branch

  • Options: merge locally, create PR, keep as-is, discard

Losers: Cleanup

git worktree remove .worktrees/cookoff-impl-1
git worktree remove .worktrees/cookoff-impl-3
git branch -D <feature>/cookoff/impl-1
git branch -D <feature>/cookoff/impl-3
# Keep winner's worktree until merged

Write result.md:

# Cookoff Results: <feature>

## Design
docs/plans/<feature>/design.md

## Implementations
| Impl | Plan Approach | Tests | Fresh-Eyes | Lines | Result |
|------|---------------|-------|------------|-------|--------|
| impl-1 | Component-first | 24/24 | 1 minor | 680 | eliminated |
| impl-2 | Data-layer-first | 22/22 | 0 issues | 720 | WINNER |
| impl-3 | TDD-strict | 26/26 | 2 minor | 590 | eliminated |

## Plans Generated
- impl-1: docs/plans/<feature>/cookoff/impl-1/plan.md
- impl-2: docs/plans/<feature>/cookoff/impl-2/plan.md
- impl-3: docs/plans/<feature>/cookoff/impl-3/plan.md

## Winner Selection
Reason: Clean fresh-eyes review, solid data-layer-first architecture

## Cleanup
Worktrees removed: 2
Branches deleted: <feature>/cookoff/impl-1, <feature>/cookoff/impl-3
Winner branch: <feature>/cookoff/impl-2

Save to: docs/plans/<feature>/cookoff/result.md

Skills Orchestrated

DependencyPhaseUsage
writing-plans3Each subagent creates their own implementation plan
executing-plans3Each subagent implements their plan
parallel-agents3Dispatch ALL subagents in SINGLE message
git-worktrees3Create worktree per implementation
tdd3Subagents follow RED-GREEN-REFACTOR
verification3, 5Before claiming done; before declaring winner
code-review3Review each impl after completion
fresh-eyes4Quality review → judge input
judge4INVOKE for scoring framework (loads fresh, ensures format compliance)
scenario-testing4Validate if scenarios defined
finish-branch5Handle winner, cleanup losers

Common Mistakes

Sharing a pre-made implementation plan

  • Problem: All teams copy same code, no variation
  • Fix: Each team uses writing-plans to create THEIR OWN plan from design doc

Dispatching agents in separate messages

  • Problem: Serial dispatch instead of parallel
  • Fix: Send ALL Task tools in a SINGLE message

Not using writing-plans + executing-plans

  • Problem: Subagent implements ad-hoc
  • Fix: Each subagent MUST use writing-plans then executing-plans

Skipping fresh-eyes

  • Problem: Judge has no quality signal, just test counts
  • Fix: Fresh-eyes on ALL survivors before comparing

Not checking for identical implementations

  • Problem: Wasted compute on duplicates
  • Fix: Diff implementations before fresh-eyes, flag if >95% similar

Forgetting cleanup

  • Problem: Orphaned worktrees and branches
  • Fix: Always cleanup losers, write result.md

Example Invocation

User: "Let's build this" (after brainstorming produced design.md)

Claude: I'm using cookoff.

How would you like to implement this design?

1. Single subagent - One agent plans and implements
2. Cookoff - 3 parallel agents, each creates own plan, pick best
   → Complexity: medium feature, touches auth
   → Recommendation: 3 implementations
3. Local - Plan and implement here

User: "2"

Claude: Spawning 3 parallel implementations...
Each will create their own implementation plan from the design.

[Phase 3: Create worktrees, dispatch ALL 3 agents in single message]
[Each agent: reads design → writes plan → implements]

Cookoff status:
- impl-1: planning → implementing 6/8 tasks
- impl-2: planning → implementing 4/7 tasks
- impl-3: planning → implementing 5/9 tasks

[All 3 complete]

[Phase 4: Diff check - implementations are different ✓]
[Fresh-eyes on all 3]

| Impl | Plan Approach | Tests | Fresh-Eyes |
|------|---------------|-------|------------|
| impl-1 | Component-first | 24/24 | 1 minor |
| impl-2 | Data-layer-first | 22/22 | 0 issues |
| impl-3 | TDD-strict | 26/26 | 2 minor |

Recommendation: impl-2 (cleanest)
User: "2"

[Phase 5: Verify winner, cleanup losers]

Winner: impl-2 ready to merge
Cleanup: 2 worktrees removed
Plans preserved: docs/plans/<feature>/cookoff/

平台分布

Codex

35.04%
按下载量换算33

Claude

32.96%
按下载量换算31

Cursor

18.24%
按下载量换算17

Gemini CLI

9.89%
按下载量换算9

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

只读

该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。目前只有一个公开来源,建议同时核对源仓库。

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