360 Secure SkillHub
360 安全技能中心

qui-council

核心功能:自动识别agents文件夹中的AI专家角色,为用户想法生成多视角分析,输出含各专家观点、合成判断、优先级行动项及信心评估的结构化报告,支持自定义添加专家。典型场景:商业计划、项目设计、内容策略、重大决策的压力测试。输入为指定触发语+想法/话题,输出Markdown格式专业反馈。

quincygunter
quincygunter
热度 37.91
最近更新 2026-05-11 17:45:23
分类:协作依赖:读写文件 / 第三方 API应用场景:报告撰写 / 任务管理 / 推荐

安装技能

复制下面的话术发给你的 Agent,它会通过 secure-skills 检索并安装该技能。

执行命令安装此 skill: npx secure-skills-cli add qui-council
Metadata
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.