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council

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.

日本語の概要は準備中です。原文の説明を表示しています。

sundial-org/awesome-openclaw-skillsスター 671(GitHub 671 + cccskills 0)

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インストール方法を見る

含まれるファイル(7)

  • SKILL.md4.1 KB
  • agents/Architect.md1.6 KB
  • agents/Artist.md1.6 KB
  • agents/DevilsAdvocate.md1.7 KB
  • agents/Engineer.md1.6 KB
  • docs/council-self-review.md2.1 KB
  • README.md7.0 KB

SKILL.md(原文)

インストールする前に、エージェントに与えられる指示の中身を確認できます。

Council of the Wise

When the user says "send it to the council" or "council of the wise" or similar, spawn a sub-agent to analyze the idea from multiple expert perspectives.

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 the agents/ folder. Any .md file in that folder becomes a council member.

Default members:

  • DevilsAdvocate.md — Challenges assumptions, finds weaknesses, stress-tests
  • Architect.md — Designs systems, structure, high-level approach
  • Engineer.md — Implementation details, technical feasibility
  • Artist.md — Voice, style, presentation, user experience

Adding New Council Members

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

# Add a security reviewer
echo "# Pentester\n\nYou analyze security implications..." > agents/Pentester.md

# Add a QA perspective  
echo "# QATester\n\nYou find edge cases..." > agents/QATester.md

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

Custom Agent Location (Optional)

If the user has custom PAI agents at ~/.claude/Agents/, those can be used instead:

  • Check if ~/.claude/Agents/ exists and has agent files
  • If yes, prefer custom agents from that directory
  • If no, use the bundled agents in this skill's agents/ folder

Process

  1. Receive the idea/topic from the user
  2. Discover available agents (scan agents/ folder or custom path)
  3. Send a loading message to the user: 🏛️ *The Council convenes...* (this takes 2-5 minutes)
  4. 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

End with:
- **Synthesis** section combining best ideas and flagging critical decisions
- Note where council members **disagree** with each other — that's where the insight is
- **Token Usage** with estimated input/output tokens (based on content length)

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]

### 👹 Devil's Advocate
[challenges and risks — sharp, probing voice]

### 🏗️ Architect  
[structure and design — strategic, principled voice]

### 🛠️ Engineer
[implementation notes — practical, direct voice]

### 🎨 Artist
[voice and presentation — evocative, user-focused voice]

### ⚖️ Synthesis
[combined recommendation + key decisions needed]
[note where council members disagreed and why — that's the gold]

---
📊 **Token Usage:** ~X input / ~Y output tokens *(estimated)*

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: Uses session default (can override via Clawdbot)

Notes

  • Council review takes 2-5 minutes depending on complexity
  • Use for: business ideas, content plans, project designs, major decisions
  • Don't use for: quick questions, simple tasks, time-sensitive requests
  • Token usage is estimated based on content length (not precise API measurement)
  • Add specialized agents for domain-specific analysis (security, legal, etc.)

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