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A multi-agent deliberation hub with 3 core agents and extensible extended agents. Can call user workspace skills when needed.
用 Codex 或 Claude 帮你安装 复制这段 Prompt，粘贴到 Codex、Claude 或其他助手里，让它检查 Skill 页面并帮你完成安装。
基于 SOC 职业分类
Orchestrate multi-agent teams with defined roles, task lifecycles, handoff protocols, and review workflows. Use when: (1) Setting up a team of 2+ agents with different specializations, (2) Defining task routing and lifecycle (inbox → spec → build → review → done), (3) Creating handoff protocols between agents, (4) Establishing review and quality gates, (5) Managing async communication and artifact sharing between agents.
Look up any arxiv paper on alphaxiv.org to get a structured AI-generated overview
Socratic questioning protocol + user communication. MANDATORY for complex requests, new features, or unclear requirements. Includes progress reporting and error handling.
Lighthouse-style efficiency audit for OpenClaw. Scores your instance A+ to F across 6 categories (context injection, cron health, session bloat, config, skills, transcripts). Identifies wasted tokens, bloated sessions, misconfigured crons, and model right-sizing opportunities. Zero dependencies (Python stdlib only).
Make your AI agent learn and improve automatically. Reviews sessions, extracts learnings, updates memory files, and compounds knowledge over time. Set up nightly review loops that make your agent smarter every day.
Automatically logs into email accounts (Gmail, Outlook, QQ Mail, etc.) and generates daily email summaries. Use when the user wants to get a summary of their emails, check important messages, or create daily email digests.
| name | council-of-wisdom |
| description | A multi-agent deliberation hub with 3 core agents and extensible extended agents. Can call user workspace skills when needed. |
| version | 1.3.0 |
| tags | ["agents","routing","multi-agent","council","wisdom","orchestration","decision-making","hub"] |
A multi-agent deliberation hub with 3 core agents and extensible extended agents.
hello, hi, hey, thanks, thank you
what time, weather, temperature
yes, no, ok, sure
define, what is
Query → Check Skip List
│
▼ (if not skipped)
┌──────────────────┐
│ CORE AGENTS │ (always run)
│ - Intent Decoder│
│ - Risk Checker │
│ - Tone Designer │
└──────────────────┘
│
▼ (if extended triggered)
┌──────────────────┐
│ EXTENDED AGENTS │ (included)
└──────────────────┘
│
▼
┌──────────────────┐
│ WORKSPACE SKILLS │ (if needed)
└──────────────────┘
│
▼
Enriched Response
What does the user actually want?
What could go wrong?
How should this feel?
| Agent | Trigger Keywords |
|---|---|
| System Designer | api, database, architecture, system |
| Complexity Assessor | complex, analyze, compare |
| Values Guardian | ethical, moral, values, fair |
The council can call skills from your workspace when specialized knowledge is needed.
Example:
To add workspace skills:
workspace/skills/workspace/agents/Create a new .md file in agents/ folder:
# Your Agent Name
Trigger: keyword1, keyword2
Your analysis...
Skill runs silently. Apply analysis to shape response.
Use council: prefix to see full analysis.
IF query contains: dangerous, risk, worried, scared
THEN: Risk Checker flag = high
IF query contains: frustrated, angry, upset
THEN: Tone = empathetic
Keywords: multi-agent, AI router, agent council, decision support, AI deliberation, extensible hub, workspace skills
Use cases: personal AI assistant, decision making, risk assessment