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omakase-off关闭

Agent Skill

omakase-off 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。

总安装

364

周安装

15

GitHub Stars

31

下载量

119
CodexClaudeCursorGemini CLI

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

unknown

最后核验

2026-05-01

来源状态

来源可访问

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:omakase-off(关闭)
来源仓库:https://github.com/2389-research/claude-plugins
仓库路径:skills/omakase-off
安装命令:
npx skills add https://github.com/2389-research/claude-plugins --skill omakase-off
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 omakase-off

简介

omakase-off 用于查找、检索和筛选相关信息。

  • 适合在 Codex、Claude、Cursor、Gemini CLI 中根据关键词或任务场景快速定位候选结果。
  • 通过 npx skills add 命令从指定 GitHub 仓库安装,需确认权限和维护状态。
  • 使用前建议核实是否会触发联网、命令执行或文件读写操作。
  • 可结合原始 README 进一步了解具体用法和功能边界。

SKILL.md

Omakase-Off

Chef's choice exploration - when you're not sure WHAT to build, explore different approaches in parallel.

Part of Test Kitchen Development:

  • omakase-off - Chef's choice exploration (different approaches/plans)
  • cookoff - Same recipe, multiple cooks compete (same plan, multiple implementations)

Core principle: Let indecision emerge naturally during brainstorming, then implement multiple approaches in parallel to let real code + tests determine the best solution.

Three Triggers

Trigger 1: BEFORE Brainstorming

When: "I want to build...", "Create a...", "Implement...", "Add a feature..."

Present:

Before we brainstorm the details, would you like to:

1. Brainstorm together - We'll explore requirements and design step by step
2. Omakase (chef's choice) - I'll generate 3-5 best approaches, implement them
   in parallel, and let tests pick the winner

Trigger 2: DURING Brainstorming (Indecision Detection)

Detection signals:

  • 2+ uncertain responses in a row on architectural decisions
  • Phrases: "not sure", "don't know", "either works", "you pick", "no preference"

When detected:

You seem flexible on the approach. Would you like to:
1. I'll pick what seems best and continue brainstorming
2. Explore multiple approaches in parallel (omakase-off)

Trigger 3: Explicitly Requested

  • "try both approaches", "explore both", "omakase"
  • "implement both variants", "let's see which is better"

Workflow Overview

PhaseDescription
0. EntryPresent brainstorm vs omakase choice
1. BrainstormPassive slot detection during design
1.5. DecisionIf slots detected, offer parallel exploration
2. PlanGenerate implementation plan per variant
3. ImplementDispatch ALL agents in SINGLE message
4. EvaluateScenario tests → fresh-eyes → judge survivors
5. CompleteFinish winner, cleanup losers

See references/detailed-workflow.md for full phase details.

Directory Structure

docs/plans/<feature>/
  design.md                  # Shared context from brainstorming
  omakase/
    variant-<slug>/
      plan.md                # Implementation plan for this variant
    result.md                # Final report

.worktrees/
  variant-<slug>/            # Omakase variant worktree

Slot Classification

TypeExamplesWorth exploring?
ArchitecturalStorage engine, framework, auth methodYes
TrivialFile location, naming, config formatNo

Only architectural decisions become slots for parallel exploration.

Variant Limits

Max 5-6 implementations. Don't do full combinatorial explosion:

  1. Identify the primary axis (biggest architectural impact)
  2. Create variants along that axis
  3. Fill secondary slots with natural pairings

Critical Rules

  1. Dispatch ALL variants in SINGLE message - Multiple Task tools, one message
  2. MUST use scenario-testing - Not manual verification
  3. Fresh-eyes on survivors - Required before judge comparison
  4. Always cleanup losers - Remove worktrees and branches
  5. Write result.md - Document what was tried and why winner won

Skills Orchestrated

DependencyUsage
brainstormingModified flow with passive slot detection
writing-plansGenerate implementation plan per variant
git-worktreesCreate isolated worktree per variant
parallel-agentsDispatch all variant subagents in parallel
scenario-testingRun same scenarios against all variants
fresh-eyesQuality review on survivors → input for judge
finish-branchHandle winner (merge/PR), cleanup losers

Example Flow

User: "I need to build a CLI todo app."

Claude: [Triggers omakase-off]
Before we dive in, how would you like to approach this?
1. Brainstorm together
2. Omakase (chef's choice)

User: "1"

Claude: [Brainstorming proceeds, detects indecision on storage]

You seem flexible on storage (JSON vs SQLite). Would you like to:
1. Explore in parallel - I'll implement both variants
2. Best guess - I'll pick JSON (simpler)

User: "1"

[Creates plans for variant-json, variant-sqlite]
[Dispatches parallel agents in SINGLE message]
[Runs scenario tests on both]
[Fresh-eyes review on survivors]
[Presents comparison, user picks winner]
[Cleans up loser, finishes winner branch]

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

Codex

36.59%
按下载量换算44

Claude

28.37%
按下载量换算34

Cursor

19.01%
按下载量换算23

Gemini CLI

10.33%
按下载量换算12

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。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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