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best-of-n-solving最佳解决方案

Agent Skill

best-of-n-solving 用于处理 GitHub 仓库、Issue、Pull Request 和代码协作信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要围绕仓库状态、代码变更或协作事项进行整理时使用。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

428

周安装

18

GitHub Stars

206

下载量

150
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:best-of-n-solving(最佳解决方案)
来源仓库:https://github.com/spencerpauly/awesome-cursor-skills
仓库路径:skills/best-of-n-solving
安装命令:
npx skills add https://github.com/spencerpauly/awesome-cursor-skills --skill best-of-n-solving
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/spencerpauly/awesome-cursor-skills --skill best-of-n-solving

简介

best-of-n-solving 并行测试多种解决方案,自动比较结果并选出最优解。

  • 适合复杂问题解决场景,如性能优化、Bug 修复或技术选型。
  • 利用隔离工作树运行不同策略,确保实验互不干扰且可复现。
  • 需确认项目是否允许创建分支和临时目录,避免影响主仓库状态。
  • 输出结果应人工复核,不可直接采纳为最终方案。

SKILL.md

Best-of-N Problem Solving

Use this skill when facing a hard problem with multiple possible approaches — complex refactors, tricky bugs, performance optimization, or architectural decisions where you're not sure which strategy will work best.

How It Works

Cursor's best-of-n-runner subagent type creates isolated git worktrees — each attempt gets its own branch and working directory. Multiple approaches run in parallel without interfering with each other. You compare the results and pick the winner.

Steps

  1. Identify the approaches — before launching, define 2-3 distinct strategies. For example, if optimizing a slow database query:

- Approach A: Add a composite index and rewrite the query - Approach B: Denormalize the schema with a materialized view - Approach C: Add application-level caching with Redis

  1. Launch parallel runners — use the Task tool with subagent_type: "best-of-n-runner" for each approach. Launch them all in a single message so they run concurrently: Task 1: {subagent_type: "best-of-n-runner", prompt: "Approach A:..."} Task 2: {subagent_type: "best-of-n-runner", prompt: "Approach B:..."} Task 3: {subagent_type: "best-of-n-runner", prompt: "Approach C:..."} Each runner gets its own branch and worktree. Include clear success criteria in the prompt (e.g., "run the tests and report if they pass", "measure the query time").
  2. Compare results — when all runners complete, evaluate:

- Which approach passes all tests? - Which has the cleanest implementation? - Which has the best performance characteristics? - Which is easiest to maintain long-term?

  1. Merge the winner — check out the winning branch and merge it, or cherry-pick specific commits. Clean up the other worktree branches.

When to Use This

  • A bug that could have multiple root causes
  • A refactor where you're choosing between patterns (e.g., composition vs. inheritance)
  • Performance optimization with multiple strategies
  • Trying different libraries or approaches for the same feature
  • Any situation where "just try it" is faster than analyzing

Notes

  • Each runner is fully isolated — they can't see each other's changes.
  • Keep prompts specific: include the file paths, the problem statement, and clear success criteria.
  • For simpler problems, this is overkill — just use a single agent.
  • The branches are real git branches, so you can inspect them manually if needed.

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

33.49%
按下载量换算50

Claude

28.15%
按下载量换算42

Cursor

20.28%
按下载量换算30

Gemini CLI

9.96%
按下载量换算15

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

权限需确认

当前来源未能明确判断权限范围,默认进入异常复核队列。

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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