---

name: ask-council version: 1.0.3 description: | Ask LLM Council a question directly from Telegram/chat — get the chairman's synthesized answer without opening the web UI. Quick, headless access to multi-model consensus. slash_command: /council metadata: {"category":"productivity","tags":["llm","council","quick","telegram","cli"],"repo":"https://github.com/jeadland/llm-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 ~/.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)