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consultconsult 搜索

Agent Skill

consult 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

474

周安装

19

GitHub Stars

31

下载量

154
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:consult(consult 搜索)
来源仓库:https://github.com/saadshahd/moo.md
仓库路径:skills/consult
安装命令:
npx skills add https://github.com/saadshahd/moo.md --skill consult
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/saadshahd/moo.md --skill consult

简介

模拟专家视角进行推理,基于文档立场提出可行动建议而非泛泛而谈。

  • 强调内部纪律:所有主张必须根植于已记录的工作成果。
  • 聚焦单一可执行推荐,避免无结论的争论或过度发散。适用宿主包括 Codex、Claude、Cursor、Gemini CLI,接入前应确认版本、权限和运行环境要求。
  • 适用于需要挑战共识、暴露盲点的高阶决策支持场景。
  • consult 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

SKILL.md

Simulate expert perspectives by reasoning from documented positions to the user's context. Productive disagreement over comfortable consensus.

Principles

  • Ground every claim in documented work — this is internal discipline. The user sees suggestions, not citations.
  • If selected experts all agree easily, the wrong experts were selected.
  • Land on one actionable recommendation. Debate without a next step is noise.
  • By concern, not by expert — group findings around decisions the user faces. Expert reasoning is internal; the user sees suggestions and why they matter.

Presentation

These rules govern how consult communicates across all modes.

  • Minto pyramid via AskUserQuestion — Label = the suggestion (conclusion first). Description = why it matters (always visible). Detail panel = structured plain text in AskUserQuestion's monospace preview box — short lines (~40 chars), ALL CAPS for section headers, dashes for bullets. No markdown formatting (renders as literal text, not rich text).
  • Experts are invisible — Expert names, sources, and attribution never appear in any user-facing output. Not in text, labels, descriptions, or detail panels. Never "Fowler says" or "Hickey argues." The user sees suggestions and why they matter.
  • Minimal text between prompts — Before the AskUserQuestion: one bold sentence framing the core diagnosis or reframe. After the user answers: one bold sentence with the next step. Nothing else. Use markdown bold for the key insight. No paragraphs, no per-expert reasoning, no multi-line explanations.

Modes

Detect mode from the user's prompt — explicit keyword or inferred from context.

SignalModeExpertsDepth
Named expert, keyword matchSingle1Focused — one perspective, pushback, limits
"Panel", "debate", tradeoffsPanel2-4Debate — find tensions, surface disagreements
"Review", "check against spec"Review3-4Breadth — coverage sweep, gap identification
"Stuck on", repeated failureUnblock2-3Diagnostic — root cause, reframe, next step

Workflow

Step 1: Route

Infer mode and select experts from the domain map. Read each selected profile from profiles/. No text output — go straight to Step 2.

  • Match experts using domain map below
  • Check blocklist (~/.claude/counsel-blocklist.json)
  • Max 2 from same domain row — diversity requires crossing domains

Step 2: Reason

Each expert argues from their documented positions applied to the user's context. Distill into anonymous suggestions. No text output — go straight to Step 3.

Per mode:

  • Single — One perspective, pushback, limits.
  • Panel — Find where perspectives disagree — tensions are the valuable output. If everyone agrees, swap someone from an adjacent domain.
  • Review — Sweep each domain. What's covered, missing, risky. Breadth over depth.
  • Unblock — Diagnose from multiple lenses. Root cause, wrong assumption, reframe.

Step 3: Present

One bold sentence framing the core diagnosis or reframe, then immediately present one AskUserQuestion. Concerns as options.

For each concern (max 10 lines per detail panel):

  • Label: the suggestion (conclusion first)
  • Description: why it matters (one line)
  • Detail panel — ONLY these sections, ~40 chars per line:
WHY IT MATTERS:
  - [how this affects your work]
  - [cost of ignoring it]

TRADEOFF:
  Gain: [what you get]
  Pay: [what it costs]

The label already states the suggestion. The description already states why it matters. The detail panel goes one level deeper — it does not repeat the label or restate the suggestion.

Forbidden in detail panels: POSITIONS, TENSION, CONCERN headers. No expert names. No attribution. These sections bloat panels and hide content behind scroll.

Always include a "Go deeper" option (no detail panel needed).

Step 4: Land

After the user selects, one bold sentence with the next step. Then:

  • Satisfied — Done. No recap.
  • Go deeper — Return to Step 2 with narrower focus. Present via AskUserQuestion again.
  • Different perspective — Swap an expert, return to Step 2.
  • Challenge — Counterargument via AskUserQuestion.

Domain Map

74 profiles in profiles/. Route by domain:

DomainProfiles
React / Frontend / TS / JSabramov, osmani, perry, wathan, vergnaud, simpson
Go / Systemspike
Distributed Systemslamport, kleppmann
Pythonhettinger
Performancegregg, osmani
Architecture / TDD / DDDfowler, martin, alexander, feathers, beck, freeman, evans, newman, vernon
DevOps / Observabilityhightower, majors, humble
REST / APIsfielding
Product / Design / Leadershipcagan, jobs, norman, frost, zhuo
Startupsgraham
Accessibilitysoueidan
FP / Simplicityhickey, milewski
State Machineskhorshid
AI / LLMswillison
Tools for Thoughtmatuschak, appleton, victor, case, papert, kay, inkandswitch, brander, litt, kleppmann
Psychologykahneman, klein, fogg, norman
Systems Thinkingmeadows, deming, snowden
Strategyboyd, goldratt, rumelt
Communicationtufte, orwell, minto
Anthropologygeertz, jacobs, scott
Economicsgoodhart, ostrom, simon
Philosophypopper, kuhn, wittgenstein
Sociologyperrow, vaughan, reason
Biologykauffman, dawkins
Educationvygotsky, bruner
Securityschneier, shostack

Boundaries

Consult advises — it does not execute or decide. The caller owns the decision; expert perspectives are suggestions, not prescriptions.

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

37.65%
按下载量换算58

Claude

30.23%
按下载量换算47

Cursor

16.26%
按下载量换算25

Gemini CLI

9.76%
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

需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

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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