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Agent Skill · 研究检索

consultant(consultant 搜索)

consultant 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。

consultant 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,权限为需要联网;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 46,747。

总安装 766周安装 31GitHub Stars 公开资料未说明下载 241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:consultant(consultant 搜索)
来源仓库:https://github.com/nicknisi/claude-plugins
仓库路径:skills/consultant
安装命令:
npx skills add nicknisi/claude-plugins --skill "consultant"
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 nicknisi/claude-plugins --skill "consultant"

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。

顾问搜索工具聚合各行业专家观点与最佳实践方案库。适合企业在战略规划、技术咨询或转型过程中获取外部智慧。按行业、职能与经验层级筛选匹配度高的参考案例。consultant 属于研究检索类 Skill,可作为该场景下的辅助能力补充。需从 nicknisi/claude-plugins 仓库安装并配置搜索索引。

专家意见属个人见解,实施前应评估与企业实际的契合度。

来源仓库内路径:skills/consultant

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 nicknisi/claude-plugins --skill "consultant";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

    它需要需要联网,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

consultant 怎么安装?

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

consultant 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。

consultant 需要什么权限?

权限级别是需要联网。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。

consultant 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。

consultant 用的人多吗?

公开数据是累计安装 766 次,近一周安装 31 次,下载 241 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。

consultant 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

  • 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

  • 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
consultant

consultant 搜索 · 本页

766—需要联网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
consultant
description
Multi-model AI consultation and research. Supports CONSULTATION MODE (ask single expert), RESEARCH MODE (parallel multi-agent), or DELIBERATION MODE (agents debate and refine). USE WHEN user says 'ask gemini', 'consult codex' (consultation), 'do research' (research), or 'deliberate on' (deliberation).

Consultant Skill

Three Operation Modes

CONSULTATION MODE (Single Expert)

Ask a specific AI model for focused analysis or second opinion.

Trigger Patterns:

  • "Ask [model] about X"
  • "Consult [model] on Y"
  • "What does [model] think about Z"
  • "Get [model]'s opinion on X"
  • "[Model], analyze this problem"

Available Consultants:

  • codex / gpt5 - OpenAI GPT-5 Codex (advanced reasoning, technical analysis)
  • gemini - Google Gemini (multi-perspective analysis)
  • grok - xAI Grok (alternative LLM perspective)
  • perplexity - Perplexity Sonar (web research with citations)
  • claude - Claude WebSearch (web research, detailed analysis)

Examples:

  • "Ask Gemini about the best approach to implement this feature"
  • "Consult Codex on this architectural decision"
  • "What does Grok think about this code pattern?"
  • "Get Perplexity's research on latest React trends"

RESEARCH MODE (Multi-Agent Parallel)

Launch multiple agents simultaneously for comprehensive coverage.

Trigger Patterns:

  • "Do research on X"
  • "Quick research: X"
  • "Extensive research on X"
  • "Research this topic"
  • "Investigate X"

Three Research Intensities:

QUICK RESEARCH
  • Launch 5 agents (1 of each type)
  • Timeout: 2 minutes
  • Best for: Simple queries, fast answers
STANDARD RESEARCH (Default)
  • Launch 15 agents (3 of each type)
  • Timeout: 3 minutes
  • Best for: Comprehensive coverage, balanced depth
EXTENSIVE RESEARCH
  • Launch 40 agents (8 of each type)
  • Timeout: 10 minutes
  • Best for: Deep-dive analysis, exhaustive reports

DELIBERATION MODE (Multi-Round Debate)

Agents critique each other's answers and refine through peer review.

Trigger Patterns:

  • "Deliberate on X"
  • "Have the consultants debate X"
  • "What do the models think about X after discussing?"
  • "Peer review: X"

How It Works:

Round 1: Initial Perspectives (all 5 agents)

  • Each agent provides initial analysis independently
  • No agent sees others' responses yet

Round 2: Critique & Challenge (all 5 agents)

  • Share all Round 1 responses with all agents
  • Each agent reviews others' answers
  • Point out errors, gaps, strong points
  • Challenge assumptions
  • Add missing information

Round 3: Refinement (all 5 agents)

  • Share all critiques
  • Agents revise their positions based on feedback
  • Acknowledge valid points from others
  • Defend or modify their stance
  • Identify emerging consensus

Round 4: Final Synthesis (main session)

  • Analyze convergence vs divergence
  • Highlight consensus points (all/most agents agree)
  • Present unresolved disagreements with reasoning from each side
  • Rate confidence based on agent agreement

Timeout: 5 minutes total (agents work in rounds)

Best for:

  • Critical decisions needing peer review
  • Complex problems where single perspective is risky
  • Catching errors through multiple reviews
  • Finding consensus among experts
  • Identifying trade-offs through debate

Example:

User: "Deliberate on: Should we use REST or GraphQL for our API?"

Round 1 (Initial):
- Codex: "GraphQL for flexible querying"
- Gemini: "REST for simplicity"
- Perplexity: [web research on adoption trends]

Round 2 (Critique):
- Codex: "Gemini's simplicity claim ignores client complexity - REST needs many endpoints"
- Gemini: "Codex didn't mention GraphQL's caching challenges"
- Perplexity: "Both missing recent data: GraphQL adoption is 45% in 2025"

Round 3 (Refinement):
- Codex: "Valid point on caching. Recommend REST for simple CRUD, GraphQL for complex reads"
- Gemini: "Agree with Codex's nuanced position"
- Consensus: Both viable, choose based on read complexity

Synthesis:
- CONSENSUS: Use REST for simple APIs, GraphQL for complex data fetching
- AGREEMENT: Both have trade-offs, no universal answer
- DISAGREEMENT: None (all converged)

Available Agents

  • perplexity-researcher: Web search with Perplexity Sonar models
  • claude-researcher: Web search with Claude WebSearch
  • gemini-researcher: Analysis with Google Gemini
  • codex-researcher: Deep analysis with GPT-5 Codex
  • grok-researcher: Analysis with xAI Grok

How Consultation Mode Works

  1. Detect consultation request from trigger patterns
  2. Identify target model (gemini, codex, grok, perplexity, claude)
  3. Launch single agent of that type
  4. Return focused analysis from that one expert

Speed: ~10-30 seconds per consultation

How Research Mode Works

  1. Query Decomposition: Break into 5-40 sub-questions
  2. Parallel Launch: All agents in SINGLE message
  3. Collection: Wait for timeout (2/3/10 minutes)
  4. Synthesis: Integrate findings with confidence ratings

Speed:

  • Quick: ~30-60 seconds
  • Standard: ~30-90 seconds
  • Extensive: ~1-3 minutes

Agent Capabilities

Web Search Agents:

  • perplexity: Citations, Sonar models, current data
  • claude: Built-in WebSearch, detailed analysis

LLM Analysis Agents:

  • codex: GPT-5 with high reasoning, technical deep-dives
  • gemini: Multi-perspective synthesis
  • grok: Alternative LLM perspective

Best Practices

For Consultation:

  • Use when you want ONE expert opinion
  • Good for second opinions, alternative perspectives
  • Faster and cheaper than research mode

For Research:

  • Use when you need comprehensive coverage
  • Multiple perspectives reveal blind spots
  • Higher confidence through corroboration

Agent Selection:

  • Codex/GPT-5: Complex technical problems, deep reasoning
  • Gemini: Creative solutions, multi-angle analysis
  • Grok: Alternative perspective, different training data
  • Perplexity: Current web information, citations needed
  • Claude: Web research, detailed synthesis

平台分布

Claude Code

28.39%
按下载量换算68

OpenCode

25.89%
按下载量换算62

Codex

17.11%
按下载量换算41

windsurf

11.62%
按下载量换算28

Antigravity

8.49%
按下载量换算20

trae

3.25%
按下载量换算8

安全审计

暂无安全审计结果可展示。

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。目前只有一个公开来源,建议同时核对源仓库。

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