Tencent SkillHub · Communication & Collaboration

Ask Council

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-mo...

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High Signal

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-mo...

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Install for OpenClaw

Quick setup

Download the package from Yavira.
Extract the archive and review SKILL.md first.
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: SKILL.md, _meta.json, ask-council.sh

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.

Download the package from Yavira.
Extract it into a folder your agent can access.
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. 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. Summarize what changed and any follow-up checks I should run.

Open Send to Agent page Open JSON manifest Open Markdown brief

Trust & source

Release facts

Source: Tencent SkillHub
Verification: Indexed source record
Version: 1.0.4

Provenance

Publisher: jeadland
Source page: View original listing
Canonical URL: Open canonical page

Documentation

ClawHub primary doc Primary doc: SKILL.md 9 sections Open source page

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-council

Two Ways to Use LLM Council

ModeBest ForCommandQuick 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

FilePurposeSKILL.mdDocumentationask-council.shMain script — queries API and returns answer_meta.jsonSkill 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)

Category context

Messaging, meetings, inboxes, CRM, and teammate communication surfaces.

Source: Tencent SkillHub

Largest current source with strong distribution and engagement signals.

Package contents

Included in package

1 Docs1 Scripts1 Config

SKILL.md Primary doc
ask-council.sh Scripts
_meta.json Config