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Agent Skill · 研究检索

parallel-explore(并行探索)

parallel-explore 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。

parallel-explore 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,权限为执行命令;许可证为 MIT,暂无第三方扫描结果,按安装量在研究检索类的 73,675 个 Skill 里排第 57,638。

总安装 428周安装 18GitHub Stars 公开资料未说明下载 150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
MIT

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:parallel-explore(并行探索)
来源仓库:https://github.com/front-depiction/claude-setup
仓库路径:skills/parallel-explore
安装命令:
npx skills add front-depiction/claude-setup --skill "parallel-explore"
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。

AgentSkills.tonpx skills
npx skills add front-depiction/claude-setup --skill "parallel-explore"

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。

并行探索多个数据源或路径以加速信息收集。适用于爬虫、调研或多端数据同步场景。parallel-explore 属于研究检索类 Skill,可作为该场景下的辅助能力补充。通过 GitHub 仓库安装,设置探索深度与超时限制。可能触发高频请求,注意目标站点反爬策略。建议遵守 robots.txt 协议与使用频率限制。

来源仓库内路径:skills/parallel-explore

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 front-depiction/claude-setup --skill "parallel-explore";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

    它需要执行命令,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

parallel-explore 怎么安装?

在终端执行 npx skills add front-depiction/claude-setup --skill "parallel-explore"。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

parallel-explore 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。

parallel-explore 需要什么权限?

权限级别是执行命令。安装流程涉及命令执行,可能通过 npx skills add front-depiction/claude-setup --skill "parallel-explore" 联网下载 Skill 或依赖。用户安装前应确认命令来源、仓库内容和执行环境。

parallel-explore 是免费的吗?

来源标注的许可证是 MIT。本站不代收任何费用,也不托管安装包;能否商用、要不要署名,以许可证原文为准。

parallel-explore 用的人多吗?

公开数据是累计安装 428 次,近一周安装 18 次,下载 150 次。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。

parallel-explore 安全吗?

没有查到第三方扫描结果,安全性无法从公开资料判断,安装前请自行审查源码、依赖和命令行为。

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。
  • 许可证明确为 MIT,商用和分发边界好判断。

先想清楚的地方

  • 需要执行命令,装到常用环境前要先评估影响面。
  • 没有第三方扫描结果,安全性只能靠自己读源码判断。
  • 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。

不太适合

  • 不能接受 Skill 在你机器上执行命令的人。
  • 要求有安全扫描结论才肯安装的团队。
  • 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
parallel-explore

并行探索 · 本页

428—执行命令MIT未收录

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

name
parallel-explore
description
Parallel exploration of codebase questions by decomposing into independent tracks. Use when exploring architecture, understanding systems, or investigating complex questions that benefit from multiple perspectives.

<exploration> <philosophy> exploration := decompose(question) → parallel(tracks) → aggregate(findings) track := independent ∧ parallelizable ∧ logical-unit agent := explorer(track) → findings(structured) synthesis := merge(findings) → coherent(answer) </philosophy>

<decomposition> analyze :: Question → [Track] analyze question = do dimensions ← identify (orthogonal (aspects question)) granularity ← ensure (|dimensions| >= 3 ∧ |dimensions| <= 6) tracks ← map toTrack dimensions verify (independent tracks) pure tracks

-- each track explores one dimension without overlap -- tracks are logical units of investigation -- minimum 3 tracks to ensure sufficient coverage </decomposition>

<track> data Track = Track { name :: String -- short identifier , focus :: Scope -- what to investigate , approach :: Strategy -- how to investigate , gates :: [Gate] -- verification checkpoints , deliverable :: Artifact -- what to return }

data Gate = Gate { checkpoint :: Condition -- what must be true , verification :: Command -- how to verify }

-- each track subdivides into gated steps -- step N must pass gate before step N+1 </track>

<when-to-use> trigger :: Question → Bool trigger question | complex (architecture question) = True | multiple (dimensions question) = True | benefits (parallelPerspectives) = True | investigating (multiCauseBug) = True | researching (crossCuttingPatterns) = True | otherwise = False </when-to-use>

<phases> <phase name="decomposition"> decompose :: Question → Effect [Track] decompose question = do aspects ← identify (dimensions question) tracks ← traverse toTrack aspects verify (all independent tracks) pure tracks </phase>

<phase name="dispatch"> dispatch :: [Track] → Effect [Agent] dispatch tracks = parallel $ fmap spawnExplorer tracks

spawnExplorer :: Track → Effect Agent spawnExplorer track = spawn Explore (prompt track) </phase>

<phase name="aggregate"> aggregate :: [TrackFindings] → Synthesis aggregate findings = do common ← intersect (conclusions findings) divergent ← difference (conclusions findings) gaps ← union (uncertainties findings) confidence ← assess divergent pure $ Synthesis { common, divergent, gaps, confidence } </phase> </phases>

<module-specialists> -- ADDITION to parallel tracks, not replacement -- When complex modules detected → spawn module specialists in parallel with tracks -- Targets BOTH Effect library modules AND internal codebase modules

detect :: Code → [Module] detect code = filter isComplex (modulesUsed code)

isComplex :: Module → Bool isComplex m = isEffectModule m ∨ isCodebaseModule m

isEffectModule :: Module → Bool isEffectModule m = m ∈ { Stream, Layer, Fiber, Scope, Schema, Effect.gen, Match }

isCodebaseModule :: Module → Bool isCodebaseModule m = m ∈ /modules -- internal modules with ai-context.md

data ModuleSource = EffectLibrary | CodebaseInternal

moduleSource :: Module → ModuleSource moduleSource m | isEffectModule m = EffectLibrary | isCodebaseModule m = CodebaseInternal

spawn :: Module → Effect Specialist spawn m = do context ← case moduleSource m of EffectLibrary → /module m -- external Effect documentation CodebaseInternal → /module path -- internal ai-context.md scope ← extractUsage m code -- ONLY how m is used pure $ Specialist { context := context -- module documentation only , scope := scope -- usage patterns in code , goal := efficiency -- missed conveniences, anti-patterns , constraint := reviewOnly -- no implementation, just review }

<specialist-prompt> You are a [MODULE] specialist.

Your ONLY context: the /module [MODULE] documentation Your ONLY scope: how [MODULE] is used in the provided code Your ONLY goal: identify efficiency issues

Review for:

  • Missed conveniences (simpler APIs available)
  • Anti-patterns (common misuse)
  • Idiomatic alternatives (more Effect-like approaches)

Output:

  • Specific file:line citations
  • What could be improved
  • How to improve it (idiomatic pattern)

Do NOT:

  • Implement changes
  • Review anything outside [MODULE] usage
  • Consider broader architecture

</specialist-prompt>

<composition> explore :: Question → Code → Effect Synthesis explore question code = do -- Regular parallel tracks (existing behavior) tracks ← decompose question trackAgents ← dispatch tracks

-- ADDITION: module specialists (orthogonal overlay) modules ← detect code specialists ← parallel (spawn <$> modules)

-- Aggregate both trackFindings ← await trackAgents specialistFindings ← await specialists

aggregate (trackFindings ++ specialistFindings) </composition> </module-specialists>

<agent-prompt> <execution> execute :: Track → Effect Findings execute track = do context ← gatherContext track gate₁ ← verify (understood context) findings ← explore context track gate₂ ← verify (evidence findings) summary ← synthesize findings gate₃ ← verify (complete summary) pure summary </execution>

<gates> gate :: Checkpoint → Effect () gate = \case Understood ctx → can describe files/patterns found Evidence fnd → every claim has file:line citation Complete sum → summary answers track question </gates>

<output> data TrackFindings = TrackFindings { track :: String , findings :: [(Finding, Citation)] , evidence :: [(FilePath, LineNumber, Description)] , conclusions :: Text , gaps :: [Uncertainty] } </output> </agent-prompt>

<synthesis> <output> data Synthesis = Synthesis { unified :: Text , nuances :: [Divergence] , openQuestions :: [Gap] , confidence :: Confidence }

data Confidence = High | Moderate | Low </output> </synthesis>

<recursive> deepen :: Track → Effect Synthesis deepen track = do subtracks ← decompose (question track) agents ← dispatch subtracks findings ← await agents aggregate findings

-- apply same decomposition recursively for deeper exploration </recursive> </exploration>

平台分布

Claude Code

25.27%
按下载量换算38

windsurf

23.56%
按下载量换算35

trae

15.7%
按下载量换算24

OpenCode

12.7%
按下载量换算19

Codex

8.29%
按下载量换算12

Antigravity

3.15%
按下载量换算5

安全审计

暂无安全审计结果可展示。

权限和风险

执行命令

安装流程涉及命令执行,可能通过 npx skills add front-depiction/claude-setup --skill "parallel-explore" 联网下载 Skill 或依赖。用户安装前应确认命令来源、仓库内容和执行环境。

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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