- name
- ask-council
- version
- 1.0.3
- description
- |
- 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
- Sends your question to the LLM Council backend
- Waits for Stage 1 (all models respond)
- Waits for Stage 2 (models rank each other)
- 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-councilTwo 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://10.0.1.184:5173Agent 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)