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Agent Skill · 研究检索

omakase-off(关闭)

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。

omakase-off 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 60,816。

总安装 364周安装 15GitHub Stars 31下载 119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: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

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。

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。

来源仓库内路径:skills/omakase-off

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 omakase-o…;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

omakase-off 怎么安装?

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

omakase-off 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。

omakase-off 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。

omakase-off 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。

omakase-off 用的人多吗?

公开数据是累计安装 364 次,近一周安装 15 次,下载 119 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。

omakase-off 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
omakase-off

关闭 · 本页

36431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

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]

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。目前只有一个公开来源,建议同时核对源仓库。

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