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ask-council

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作者: admin | 来源: ClawHub
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V 1.0.4
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ask-council

# Ask Council — Quick Headless Access Get LLM Council's synthesized answer without leaving your chat. ## Usage ``` /council Should I invest in Tesla right now? ``` Returns the **Chairman's synthesized answer** after all models have debated. ## How It Works 1. Sends your question to the LLM Council backend 2. Waits for Stage 1 (all models respond) 3. Waits for Stage 2 (models rank each other) 4. Returns Stage 3 (Chairman's final synthesis) **Takes 30-60 seconds** — models need time to deliberate. ## Prerequisites LLM Council backend must be running: ``` /install-llm-council ``` ## Two Ways to Use LLM Council | Mode | Best For | Command | |------|----------|---------| | **Quick answer** (this skill) | Fast decisions, mobile, casual questions | `/council "question"` | | **Full discussion** (web UI) | Deep research, exploring disagreements, seeing all model responses | `/install-llm-council` then open browser | ## Example **Input:** ``` /council Is Python or Go better for a new microservice? ``` **Output:** ``` Council is deliberating... (this may take 30-60s) ................ ═══════════════════════════════════════════════════════════════ CHAIRMAN'S ANSWER ═══════════════════════════════════════════════════════════════ Based on the council's deliberation, Python is recommended for rapid prototyping and team velocity, while Go excels for high-throughput services where performance is critical... ═══════════════════════════════════════════════════════════════ View full discussion: http://10.0.1.184:5173 ``` ## Agent Instructions When user says `/council <question>` or "ask council": ```bash bash ~/.openclaw/skills/ask-council/ask-council.sh "<question>" ``` The script handles: - Creating a conversation - Starting the council run - Polling until complete - Extracting the chairman's answer - Showing progress dots while waiting ## Files | File | Purpose | |------|---------| | `SKILL.md` | Documentation | | `ask-council.sh` | Main script — queries API and returns answer | | `_meta.json` | Skill metadata | ## Notes - Timeout: 120 seconds - If backend isn't running, suggests starting it - Always includes link to full web UI for detailed exploration - Creates a new conversation each time (no history)

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skill ai

通过对话安装

该技能支持在以下平台通过对话安装:

OpenClaw WorkBuddy QClaw Kimi Claude

方式一:安装 SkillHub 和技能

帮我安装 SkillHub 和 ask-council-1776419948 技能

方式二:设置 SkillHub 为优先技能安装源

设置 SkillHub 为我的优先技能安装源,然后帮我安装 ask-council-1776419948 技能

通过命令行安装

skillhub install ask-council-1776419948

下载 Zip 包

⬇ 下载 ask-council v1.0.4

文件大小: 3.43 KB | 发布时间: 2026-4-17 18:30

v1.0.4 最新 2026-4-17 18:30
Clean up - working short URL support, outputs conversation link

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