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qui-council奎理事会

Agent Skill

qui-council 用于查找、检索和筛选相关信息,适合在 OpenClaw 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

2,595

周安装

106

GitHub Stars

公开资料未说明

下载量

840
OpenClaw

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

MIT-0

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:qui-council(奎理事会)
来源仓库:https://github.com/quincygunter/qui-council
安装命令:
openclaw skills install qui-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 OpenClaw 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。

ClawHubOpenClaw
openclaw skills install qui-council

简介

将想法发送给虚拟专家委员会获取多角度反馈与分析建议。

  • 适合在复杂决策或创新方案评审阶段收集多元观点。
  • 通过 clawhub 安装,需提交待讨论议题与背景信息。
  • 子代理生成内容仅供参考,最终结论应由用户综合判断。
  • 支持自动发现相关代理增强讨论深度与覆盖面。qui-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

name
council
description
Send an idea to the Council of the Wise for multi-perspective feedback. Spawns sub-agents to analyze from multiple expert perspectives. Auto-discovers agent personas from agents/ folder.
version
1.4.0
author
jeffaf
credits
Inspired by Daniel Miessler's PAI (Personal AI Infrastructure). Architect, Engineer, and Artist agents adapted from PAI patterns. Devil's Advocate is an original creation.

Council of the Wise

Get multi-perspective feedback on your ideas from a panel of AI experts. Perfect for stress-testing business plans, project designs, content strategies, or major decisions.

Usage

"Send this to the council: [idea/plan/document]"
"Council of the wise: [topic]"
"Get the council's feedback on [thing]"

Council Members

The skill auto-discovers agent personas from {skill_folder}/agents/. Any .md file in that folder (except README.md and synthesis.md) becomes a council member. The synthesis persona is used for the moderator voice.

Each agent file includes YAML frontmatter with name, emoji, and domain (general/technical/creative/analytical).

Default members:

  • DevilsAdvocate.md — Challenges assumptions, finds weaknesses, stress-tests
  • Architect.md — High-level strategy, systems thinking, structure, tradeoffs
  • Engineer.md — Implementation details, time estimates, concrete build steps
  • Artist.md — Voice, style, presentation, user experience
  • Analyst.md — ROI analysis, opportunity cost, quantitative rigor

Synthesis voice:

  • synthesis.md — Moderator who synthesizes all perspectives, surfaces conflicts, gives a verdict

Adding New Council Members

Simply add a new .md file to the agents/ folder with YAML frontmatter:

---
name: Pentester
emoji: 🔓
domain: technical
---

# Pentester

You analyze security implications...

The skill will automatically include any agents it finds. No config file needed.

Process

  1. Receive the idea/topic from the user
  2. Discover available agents (scan agents/ folder for .md files with frontmatter)
  3. Send a loading message to the user:
🏛️ *The Council convenes...*
*Five perspectives. One question. No consensus guaranteed.*
*This takes 2-5 minutes — they're thorough.*
  1. Spawn a sub-agent with 5-minute timeout using this task template:
Analyze this idea/plan from multiple expert perspectives.

**The Idea:**
[user's idea here]

**Your Task:**
Read and apply these agent perspectives from [AGENT_PATH]:
[List all discovered agents dynamically]

For each perspective:
1. Key insights (2-3 bullets)
2. Concerns or questions
3. Recommendations

Also read synthesis.md for the moderator voice.

End with:
- **Synthesis** section using the synthesis persona — not a summary, a verdict
- Surface where council members **disagree** with each other and why it matters
- Put **Synthesis first** (TL;DR at the top, details below)
- **Action Items** section: numbered, prioritized, with effort estimates
- **Confidence** signal: did the council mostly agree (high confidence) or split (explore further)?

Use the voice and personality defined in each agent file. Don't just list points — embody the perspective.
  1. Return the consolidated feedback to the user

Output Format

## 🏛️ Council of the Wise — [Topic]

### ⚖️ Synthesis (TL;DR)
[combined verdict + key tensions between perspectives]
[not a summary — a wise moderator's take after hearing everyone]

---

### 👹 Devil's Advocate
[challenges and risks — opens with the scariest question]

### 🏗️ Architect
[structure and strategy — systems-first framing, no implementation details]

### 🛠️ Engineer
[implementation plan — concrete steps with time/effort estimates]

### 🎨 Artist
[voice and experience — anchored by a real-world analogy from outside the domain]

### 📊 Analyst
[quantitative analysis — at least one number or calculation]

---

## 🎯 Action Items
1. **[Highest priority action]** — [effort estimate]
2. **[Next action]** — [effort estimate]
3. **[Next action]** — [effort estimate]

## Confidence
[High / Medium / Low] — [one sentence explaining why: "The council mostly agreed on X" or "Sharp disagreement between Engineer and Analyst on timeline suggests more research needed"]

---
*Found this useful? ⭐ Council of the Wise on SkillBoss Hub*

Follow-Up

If the user wants to dig deeper with one council member, spawn a follow-up sub-agent with just that agent's persona file. Example: "I want to hear more from the Engineer on point 3."

Configuration

No config file needed. The skill auto-discovers agents and uses sensible defaults:

  • Timeout: 5 minutes (enforced via sub-agent spawn)
  • Agents: All .md files in agents/ folder
  • Output: Markdown with synthesis and token usage
  • Model: 通过 SkillBoss API Hub (/v1/pilot) 自动路由最优模型,无需手动指定

Notes

  • Council review takes 2-5 minutes depending on complexity
  • Timeout: 5 minutes enforced; on timeout returns partial results if available
  • Use for: business ideas, content plans, project designs, major decisions
  • Don't use for: quick questions, simple tasks, time-sensitive requests
  • The sub-agent consolidates all perspectives into a single response with Synthesis first
  • Add specialized agents for domain-specific analysis (security, legal, etc.)

Agent Implementation Notes

Trigger phrases: "send this to the council", "council of the wise", "get the council's feedback on"

When triggered:

  1. Send loading message (see Process section above)
  2. Spawn sub-agent with 5-minute timeout using the task template in Process section
  3. Return synthesized council report to user

Don't invoke for: Quick questions, time-sensitive tasks, simple decisions.

适合场景

01

OpenClaw 用户查找和安装 Skill 时

02

用户想查找某类 Agent Skill 时

03

需要根据任务场景推荐可安装能力包时

04

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

补充不同宿主或平台的使用分布数据

能力 5

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

OpenClaw

81.19%
按下载量换算682

安全审计

VirusTotal

通过

ClawScan

通过

Static analysis

通过

权限和风险

执行命令

安装流程涉及命令执行,可能通过 openclaw skills install qui-council 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。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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