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Agent Skill · 研究检索

council(council 搜索)

council 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。

council 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;许可证信息还不明确,第三方扫描有提醒项,按安装量在研究检索类的 73,674 个 Skill 里排第 67,439。

总安装 245周安装 10GitHub Stars 1下载 78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:council(council 搜索)
来源仓库:https://github.com/robdtaylor/personal-ai-infrastructure
仓库路径:skills/council
安装命令:
npx skills add https://github.com/robdtaylor/personal-ai-infrastructure --skill Council
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/robdtaylor/personal-ai-infrastructure --skill Council

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。

用于查找和筛选 AI 基础设施相关策略信息,适合架构设计场景。可基于关键词定位最佳实践、工具选型或治理模型,辅助决策。通过 npx 命令从 personal-ai-infrastructure 仓库安装,操作简便。使用前应确认是否涉及私有数据或企业环境限制。

council 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

来源仓库内路径:skills/council

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/robdtaylor/personal-ai-infrastructure --skill…;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

council 怎么安装?

在终端执行 npx skills add https://github.com/robdtaylor/personal-ai-infrastructure --skill Council。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

council 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。

council 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。

council 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。

council 用的人多吗?

公开数据是累计安装 245 次,近一周安装 10 次,下载 78 次,GitHub 1 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。

council 安全吗?

第三方扫描有提醒项,说明存在需要人工确认的行为。安装前请打开源码看清它读了什么、联网到哪里。

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。

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。
  • 第三方扫描存在提醒项或未通过项,需要人工逐条确认。
  • 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

  • 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
council

council 搜索 · 本页

2451需要联网未明确有提醒

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

Council - Multi-Agent Deliberation System

The Council convenes multiple expert perspectives for complex decisions that benefit from diverse viewpoints.

When to Convene

Use the Council for:

  • Architectural decisions - System design choices with long-term implications
  • Feature design - User-facing functionality requiring UX + engineering balance
  • Technical trade-offs - Performance vs maintainability, speed vs correctness
  • Risk assessment - Evaluating potential failure modes from multiple angles
  • Strategic direction - Major pivots or technology choices

Do NOT use for:

  • Simple bug fixes
  • Routine implementation tasks
  • Well-defined requirements with clear solutions
  • Time-critical decisions (Council adds deliberation overhead)

Council Members

The Council consists of 9 permanent members, each bringing distinct expertise:

MemberNamePerspectiveKey Questions
ArchitectSerenaSystem design, scalability, patterns"How does this fit the larger system?"
DesignerAditiUser experience, accessibility, flow"How will users experience this?"
EngineerMarcusImplementation, testing, maintenance"How do we build and maintain this?"
ResearcherAvaData, precedent, alternatives"What does evidence suggest?"
Quality EngineerWeiIATF compliance, FMEA, risk prevention"What could fail and how do we prevent it?"
Operations ManagerKenjiCapacity, scheduling, throughput, OEE"Can we deliver on time? What's the bottleneck?"
Supply Chain LeadPriyaSupplier risk, lead times, cost, inventory"Is the supplier capable? What's the landed cost?"
Finance ControllerDavidROI, cash flow, margin, capex"What's the payback? How does this affect margin?"
Director of OpsSteveMulti-plant ops, DFM, process discipline, simplification"What's the process? Can we actually hold this?"

Member Personas

Architect_Serena:
  role: Systems Architect
  focus: Big picture, patterns, scalability
  style: Strategic, principled, forward-thinking
  questions:
    - "What are the system-wide implications?"
    - "Does this align with our architectural principles?"
    - "How will this scale?"
    - "What patterns apply here?"

Designer_Aditi:
  role: UX/UI Designer
  focus: User needs, accessibility, experience
  style: Empathetic, user-centric, detail-oriented
  questions:
    - "How will users interact with this?"
    - "Is this accessible to all users?"
    - "What's the cognitive load?"
    - "Does this match user mental models?"

Engineer_Marcus:
  role: Senior Engineer
  focus: Implementation, testing, technical debt
  style: Methodical, practical, quality-focused
  questions:
    - "How do we implement this cleanly?"
    - "What are the testing requirements?"
    - "What's the maintenance burden?"
    - "Are there hidden complexities?"

Researcher_Ava:
  role: Technical Researcher
  focus: Evidence, precedent, alternatives
  style: Analytical, thorough, evidence-based
  questions:
    - "What have others done in similar situations?"
    - "What does the data suggest?"
    - "What alternatives exist?"
    - "What are the known failure modes?"

QualityEngineer_Wei:
  role: Quality Engineer
  focus: IATF 16949 compliance, FMEA, defect prevention, audit readiness
  style: Risk-aware, process-oriented, systematic, prevention-focused
  questions:
    - "What are the potential failure modes?"
    - "How does this affect our control plans and FMEAs?"
    - "Is this auditable and compliant with IATF 16949?"
    - "What's the containment plan if it fails?"
    - "Where is the escape point for this defect?"

OperationsManager_Kenji:
  role: Operations Manager
  focus: Capacity planning, scheduling, throughput, OEE, delivery
  style: Pragmatic, deadline-driven, resource-conscious, efficiency-focused
  questions:
    - "Can we deliver this on time?"
    - "What's the capacity impact?"
    - "Where's the bottleneck?"
    - "How does this affect our OEE?"
    - "What resources do we need?"

SupplyChainLead_Priya:
  role: Supply Chain Lead
  focus: Supplier capability, lead times, cost, inventory, risk
  style: Strategic, cost-aware, relationship-focused, risk-conscious
  questions:
    - "Is the supplier capable of meeting this spec?"
    - "What's the total landed cost?"
    - "What's the lead time and inventory impact?"
    - "What's our supplier risk exposure?"
    - "Should we make or buy this?"

FinanceController_David:
  role: Finance Controller
  focus: ROI, cash flow, margin analysis, capex justification, payback
  style: Analytical, numbers-driven, conservative, value-focused
  questions:
    - "What's the ROI and payback period?"
    - "How does this affect our margins?"
    - "What's the cash flow impact?"
    - "Can we justify this capex?"
    - "What's the cost of doing nothing?"

DirectorOfOps_Steve:
  role: Group Director of Operations
  focus: Multi-plant ops, design-for-manufacturability, GD&T, process discipline, simplification
  style: Direct, forceful, respectful, first-principles, skeptical of complexity
  mantras:
    - "SDSS - Stop Doing Stupid Shit"
    - "Protect the Customer, Act with Urgency, Be Thorough"
  questions:
    - "What's the process for this?"
    - "Is this a design problem or a manufacturing problem?"
    - "Can we hold this tolerance reliably in production?"
    - "What's the simplest solution that actually works?"
    - "Why are we doing it this way?"
    - "Have you talked to the people who actually do the work?"

Deliberation Process

Round 1: Initial Perspectives (Parallel)

Each member provides independent analysis without seeing others' input.

┌─────────────┐  ┌─────────────┐  ┌─────────────┐  ┌─────────────┐
│  Architect  │  │  Designer   │  │  Engineer   │  │ Researcher  │
│   Serena    │  │   Aditi     │  │   Marcus    │  │    Ava      │
└──────┬──────┘  └──────┬──────┘  └──────┬──────┘  └──────┬──────┘
       │                │                │                │
       ▼                ▼                ▼                ▼
   [Analysis]      [Analysis]      [Analysis]      [Analysis]

┌─────────────┐  ┌─────────────┐  ┌─────────────┐  ┌─────────────┐
│  Quality    │  │ Operations  │  │Supply Chain │  │  Finance    │
│    Wei      │  │   Kenji     │  │   Priya     │  │   David     │
└──────┬──────┘  └──────┬──────┘  └──────┬──────┘  └──────┬──────┘
       │                │                │                │
       ▼                ▼                ▼                ▼
   [Analysis]      [Analysis]      [Analysis]      [Analysis]

Output format per member:

## [Member] Perspective

**Assessment:** [1-2 sentence summary]

**Key Considerations:**
1. [Point 1]
2. [Point 2]
3. [Point 3]

**Recommendation:** [Specific recommendation]

**Concerns:** [Any reservations or risks]

Round 2: Direct Responses (Sequential)

Members respond to each other's points, identifying agreements and disagreements.

## Cross-Perspective Analysis

### Agreements
- [Point where multiple members align]

### Tensions
- [Architect vs Engineer]: [Description of tension]
- [Designer vs Researcher]: [Description of tension]

### Questions Raised
- [Question that emerged from discussion]

Round 3: Synthesis

Consolidate into unified recommendation with dissenting notes.

## Council Recommendation

**Decision:** [Clear recommendation]

**Rationale:** [Why this recommendation]

**Implementation Notes:**
- [From Engineer perspective]
- [From Architect perspective]

**User Impact:**
- [From Designer perspective]

**Evidence Base:**
- [From Researcher perspective]

**Risk & Compliance:**
- [From Quality Engineer perspective]

**Operations Impact:**
- [From Operations Manager perspective]

**Supply Chain & Cost:**
- [From Supply Chain Lead perspective]

**Financial Analysis:**
- [From Finance Controller perspective]

**Dissenting Views:**
- [Any unresolved disagreements]

**Confidence Level:** [High/Medium/Low]

Invocation Methods

Via Workflow

/council "Should we use GraphQL or REST for the new API?"

Via Skill Trigger

When encountering a complex decision, invoke:

I'm facing an architectural decision that would benefit from multiple perspectives.
Let me convene the Council to deliberate on: [decision description]

Programmatic (from hooks)

import { conveneCouncil } from './lib/council-utils';

const result = await conveneCouncil({
  topic: 'GraphQL vs REST for new API',
  context: 'Building a new public API for third-party integrations',
  constraints: ['Must support real-time updates', 'Team has REST experience'],
  urgency: 'medium'
});

Quick Council (2-Member Variant)

For faster deliberation, use a 2-member council with the most relevant perspectives:

Decision TypeMembersRationale
API designArchitect + EngineerSystem + implementation
UI featureDesigner + EngineerUX + buildability
PerformanceEngineer + ResearcherImplementation + data
SecurityArchitect + ResearcherSystem + precedent
Manufacturing processQuality + EngineerRisk prevention + implementation
Compliance/auditQuality + ResearcherIATF requirements + evidence
Product designQuality + ArchitectFailure modes + system design
New program launchOperations + QualityCapacity + risk
Make/buy decisionSupply Chain + FinanceCost + capability
Capex investmentFinance + OperationsROI + capacity need
Supplier issueSupply Chain + QualityCapability + compliance
Capacity planningOperations + FinanceThroughput + investment
Design tolerance reviewDirector of Ops + QualityDFM + risk prevention
Process simplificationDirector of Ops + OperationsSDSS + capacity
Engineering change reviewDirector of Ops + EngineerManufacturability + implementation
Multi-plant issueDirector of Ops + QualityStandardization + containment
/quick-council architect+engineer "Should we cache at the API or database layer?"

Council Output Storage

Council deliberations are stored for future reference:

~/.claude/MEMORY/Decisions/
├── 2026-01-17_graphql-vs-rest.md
├── 2026-01-15_auth-architecture.md
└── ...

Format:

# Council Decision: [Topic]

**Date:** [timestamp]
**Convened by:** [user/auto]
**Urgency:** [high/medium/low]

## Context
[Background and constraints]

## Round 1: Initial Perspectives
[Member analyses]

## Round 2: Cross-Analysis
[Agreements, tensions, questions]

## Round 3: Recommendation
[Final recommendation with confidence]

## Outcome
[What was actually decided/implemented - filled in later]

Best Practices

When Convening

  1. Provide clear context - Members need background to deliberate effectively
  2. State constraints upfront - Time, budget, team skills, etc.
  3. Define success criteria - What would a good decision look like?
  4. Set urgency level - Affects depth of deliberation

During Deliberation

  1. Let each member speak fully - Don't interrupt perspectives
  2. Note tensions explicitly - Disagreements are valuable signal
  3. Seek synthesis, not consensus - Perfect agreement is suspicious
  4. Capture dissent - Minority views may prove prescient

After Decision

  1. Document the outcome - What was actually decided
  2. Revisit periodically - Was the decision correct?
  3. Learn from mistakes - Update member heuristics

Integration with Algorithm

The Council integrates with the 7-phase Algorithm:

PhaseCouncil Role
OBSERVEGather context for Council
THINKCouncil deliberation happens here
PLANImplement Council recommendation
BUILDDefine ISC based on recommendation
EXECUTEBuild according to plan
VERIFYTest against Council criteria
LEARNEvaluate decision quality

Related Skills

  • Algorithm - Council fits in THINK phase
  • A3CriticalThinking - Structured problem-solving
  • Agent Personas - Individual member definitions

Examples

Example 1: Database Choice

Topic: "Should we use PostgreSQL or MongoDB for the new service?"

Architect (Serena): Recommends PostgreSQL for relational data integrity and established patterns. Concerns about eventual consistency with MongoDB.

Designer (Aditi): Notes that query flexibility affects how quickly we can iterate on features. Prefers whatever enables faster UX iteration.

Engineer (Marcus): PostgreSQL has better tooling and team experience. MongoDB would require training. Testing is more straightforward with SQL.

Researcher (Ava): Industry data shows PostgreSQL outperforms for our read/write ratio. MongoDB better for document-heavy workloads we don't have.

Recommendation: PostgreSQL (High confidence) - All members aligned based on team experience and workload characteristics.

Example 2: Feature Scope

Topic: "Should we ship MVP without offline support?"

Architect (Serena): Offline support is architecturally significant - harder to add later. But MVP needs to ship.

Designer (Aditi): User research shows 40% use app in low-connectivity areas. Offline is critical for them, but we can ship to others first.

Engineer (Marcus): Offline adds 3 weeks. Suggests shipping online-only with offline-ready architecture.

Researcher (Ava): Competitors without offline have 2-star reviews. But first-mover advantage matters more in our segment.

Recommendation: Ship online-only MVP with offline-ready architecture (Medium confidence) - Tension between user needs and time-to-market. Revisit after launch data.

平台分布

Codex

33.96%
按下载量换算26

Claude

32.4%
按下载量换算25

Cursor

18.31%
按下载量换算14

Gemini CLI

9.68%
按下载量换算8

安全审计

Gen Agent Trust Hub

可疑

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。来源安全扫描存在提醒或未通过项,安装前请自行复核。目前只有一个公开来源,建议同时核对源仓库。

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