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councilcouncil 搜索

Agent Skill

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。

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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:council(council 搜索)
来源仓库:https://github.com/affaan-m/everything-claude-code
仓库路径:skills/council
安装命令:
npx skills add https://github.com/affaan-m/everything-claude-code --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/affaan-m/everything-claude-code --skill council

简介

council 提供多角度决策支持,召集质疑者、实用主义者和批评者共同评估模糊情境下的选择。

  • 适用于需要权衡利弊、寻求反对意见或避免认知锚定的战略决策场景。
  • 不用于代码审查或架构设计,仅在用户明确要求多视角分析时激活。
  • 输出聚焦于选项对比与风险提示,不包含具体实施细节或技术方案。
  • council 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

SKILL.md

Council

Convene four advisors for ambiguous decisions:

  • the in-context Claude voice
  • a Skeptic subagent
  • a Pragmatist subagent
  • a Critic subagent

This is for decision-making under ambiguity, not code review, implementation planning, or architecture design.

When to Use

Use council when:

  • a decision has multiple credible paths and no obvious winner
  • you need explicit tradeoff surfacing
  • the user asks for second opinions, dissent, or multiple perspectives
  • conversational anchoring is a real risk
  • a go / no-go call would benefit from adversarial challenge

Examples:

  • monorepo vs polyrepo
  • ship now vs hold for polish
  • feature flag vs full rollout
  • simplify scope vs keep strategic breadth

When NOT to Use

Instead of councilUse
Verifying whether output is correctsanta-method
Breaking a feature into implementation stepsplanner
Designing system architecturearchitect
Reviewing code for bugs or securitycode-reviewer or santa-method
Straight factual questionsjust answer directly
Obvious execution tasksjust do the task

Roles

VoiceLens
Architectcorrectness, maintainability, long-term implications
Skepticpremise challenge, simplification, assumption breaking
Pragmatistshipping speed, user impact, operational reality
Criticedge cases, downside risk, failure modes

The three external voices should be launched as fresh subagents with only the question and relevant context, not the full ongoing conversation. That is the anti-anchoring mechanism.

Workflow

1. Extract the real question

Reduce the decision to one explicit prompt:

  • what are we deciding?
  • what constraints matter?
  • what counts as success?

If the question is vague, ask one clarifying question before convening the council.

2. Gather only the necessary context

If the decision is codebase-specific:

  • collect the relevant files, snippets, issue text, or metrics
  • keep it compact
  • include only the context needed to make the decision

If the decision is strategic/general:

  • skip repo snippets unless they materially change the answer

3. Form the Architect position first

Before reading other voices, write down:

  • your initial position
  • the three strongest reasons for it
  • the main risk in your preferred path

Do this first so the synthesis does not simply mirror the external voices.

4. Launch three independent voices in parallel

Each subagent gets:

  • the decision question
  • compact context if needed
  • a strict role
  • no unnecessary conversation history

Prompt shape:

You are the [ROLE] on a four-voice decision council.

Question:
[decision question]

Context:
[only the relevant snippets or constraints]

Respond with:
1. Position — 1-2 sentences
2. Reasoning — 3 concise bullets
3. Risk — biggest risk in your recommendation
4. Surprise — one thing the other voices may miss

Be direct. No hedging. Keep it under 300 words.

Role emphasis:

  • Skeptic: challenge framing, question assumptions, propose the simplest credible alternative
  • Pragmatist: optimize for speed, simplicity, and real-world execution
  • Critic: surface downside risk, edge cases, and reasons the plan could fail

5. Synthesize with bias guardrails

You are both a participant and the synthesizer, so use these rules:

  • do not dismiss an external view without explaining why
  • if an external voice changed your recommendation, say so explicitly
  • always include the strongest dissent, even if you reject it
  • if two voices align against your initial position, treat that as a real signal
  • keep the raw positions visible before the verdict

6. Present a compact verdict

Use this output shape:

## Council: [short decision title]

**Architect:** [1-2 sentence position]
[1 line on why]

**Skeptic:** [1-2 sentence position]
[1 line on why]

**Pragmatist:** [1-2 sentence position]
[1 line on why]

**Critic:** [1-2 sentence position]
[1 line on why]

### Verdict
- **Consensus:** [where they align]
- **Strongest dissent:** [most important disagreement]
- **Premise check:** [did the Skeptic challenge the question itself?]
- **Recommendation:** [the synthesized path]

Keep it scannable on a phone screen.

Persistence Rule

Do not write ad-hoc notes to ~/.claude/notes or other shadow paths from this skill.

If the council materially changes the recommendation:

  • use knowledge-ops to store the lesson in the right durable location
  • or use /save-session if the outcome belongs in session memory
  • or update the relevant GitHub / Linear issue directly if the decision changes active execution truth

Only persist a decision when it changes something real.

Multi-Round Follow-up

Default is one round.

If the user wants another round:

  • keep the new question focused
  • include the previous verdict only if it is necessary
  • keep the Skeptic as clean as possible to preserve anti-anchoring value

Anti-Patterns

  • using council for code review
  • using council when the task is just implementation work
  • feeding the subagents the entire conversation transcript
  • hiding disagreement in the final verdict
  • persisting every decision as a note regardless of importance

Related Skills

  • santa-method — adversarial verification
  • knowledge-ops — persist durable decision deltas correctly
  • search-first — gather external reference material before the council if needed
  • architecture-decision-records — formalize the outcome when the decision becomes long-lived system policy

Example

Question:

Should we ship ECC 2.0 as alpha now, or hold until the control-plane UI is more complete?

Likely council shape:

  • Architect pushes for structural integrity and avoiding a confused surface
  • Skeptic questions whether the UI is actually the gating factor
  • Pragmatist asks what can be shipped now without harming trust
  • Critic focuses on support burden, expectation debt, and rollout confusion

The value is not unanimity. The value is making the disagreement legible before choosing.

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

35.45%
按下载量换算3,437

Claude

27.46%
按下载量换算2,663

Cursor

19.97%
按下载量换算1,936

Gemini CLI

8.38%
按下载量换算813

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

只读

该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

安装前确认

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