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Tencent SkillHub Β· AI

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...

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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...

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Install for OpenClaw

Quick setup
  1. Download the package from Yavira.
  2. Extract the archive and review SKILL.md first.
  3. Import or place the package into your OpenClaw setup.

Requirements

Target platform
OpenClaw
Install method
Manual import
Extraction
Extract archive
Prerequisites
OpenClaw
Primary doc
SKILL.md

Package facts

Download mode
Yavira redirect
Package format
ZIP package
Source platform
Tencent SkillHub
What's included
CHANGELOG.md, README.md, SKILL.md, agents/Analyst.md, agents/Architect.md, agents/Artist.md

Validation

  • Use the Yavira download entry.
  • Review SKILL.md after the package is downloaded.
  • Confirm the extracted package contains the expected setup assets.

Install with your agent

Agent handoff

Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.

  1. Download the package from Yavira.
  2. Extract it into a folder your agent can access.
  3. Paste one of the prompts below and point your agent at the extracted folder.
New install

I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Then review README.md for any prerequisites, environment setup, or post-install checks. Tell me what you changed and call out any manual steps you could not complete.

Upgrade existing

I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Then review README.md for any prerequisites, environment setup, or post-install checks. Summarize what changed and any follow-up checks I should run.

Trust & source

Release facts

Source
Tencent SkillHub
Verification
Indexed source record
Version
1.4.0

Documentation

ClawHub primary doc Primary doc: SKILL.md 10 sections Open source page

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 β€” Challenges assumptions, finds weaknesses, stress-tests Architect.md β€” High-level strategy, systems thinking, structure, tradeoffs Engineer.md β€” Implementation details, time estimates, concrete build steps Artist.md β€” Voice, style, presentation, user experience Analyst.md β€” ROI analysis, opportunity cost, quantitative rigor Synthesis voice: synthesis.md β€” 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: πŸ”“ domain: technical --- # Pentester You analyze security implications... The skill will automatically include any agents it finds. No config file needed.

Process

  • Receive the idea/topic from the user
  • Discover available agents (scan agents/ folder for .md files with frontmatter)
  • Send a loading message to the user:
  • πŸ›οΈ *The Council convenes...*
  • *Five perspectives. One question. No consensus guaranteed.*
  • *This takes 2-5 minutes β€” they're thorough.*
  • 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 β€” 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 β€” embody the perspective.
  • Return the consolidated feedback to the user

Output Format

## πŸ›οΈ Council of the Wise β€” [Topic] ### βš–οΈ Synthesis (TL;DR) [combined verdict + key tensions between perspectives] [not a summary β€” a wise moderator's take after hearing everyone] --- ### πŸ‘Ή Devil's Advocate [challenges and risks β€” opens with the scariest question] ### πŸ—οΈ Architect [structure and strategy β€” systems-first framing, no implementation details] ### πŸ› οΈ Engineer [implementation plan β€” concrete steps with time/effort estimates] ### 🎨 Artist [voice and experience β€” anchored by a real-world analogy from outside the domain] ### πŸ“Š Analyst [quantitative analysis β€” at least one number or calculation] --- ## 🎯 Action Items 1. **[Highest priority action]** β€” [effort estimate] 2. **[Next action]** β€” [effort estimate] 3. **[Next action]** β€” [effort estimate] ## Confidence [High / Medium / Low] β€” [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 ClawdHub](https://clawhub.com)*

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: Uses session default (can override via Clawdbot)

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: Send loading message (see Process section above) Spawn sub-agent with 5-minute timeout using the task template in Process section Return synthesized council report to user Don't invoke for: Quick questions, time-sensitive tasks, simple decisions.

Category context

Agent frameworks, memory systems, reasoning layers, and model-native orchestration.

Source: Tencent SkillHub

Largest current source with strong distribution and engagement signals.

Package contents

Included in package
6 Docs
  • SKILL.md Primary doc
  • agents/Analyst.md Docs
  • agents/Architect.md Docs
  • agents/Artist.md Docs
  • CHANGELOG.md Docs
  • README.md Docs