← Open Source
tenfoldmarc

llm-council-skill

tenfoldmarc/llm-council-skill on GitHub: AI Engineering, Give agent knowledge, Build agent workflow (SDK), Agent society, Memory management, Prompt engineering, Summarization.

AI EngineeringGive agent knowledgeBuild agent workflow (SDK)
Open on GitHub
Momentum
+0stars in 24 hours0.0%
830
Stars
161
Forks
+8
This week
0
Contributors
Created 2026-04-18 · Updated 2026-10-15 · #13390 today

tenfoldmarc/llm-council-skill is ranked 13,390 with 830 stars.

Same-category comparison

tenfoldmarc/llm-council-skill is ranked 13,390 among these 8 peers; jonigl/mcp-client-for-ollama is ranked 13,388.

Same-category comparison
NameRankMetrics
Azure-Samples/aoai-realtime-audio-sdk13,379
Language:
TypeScript
Stars:
830
Forks:
188
Description:
Azure OpenAI code resources for using gpt-4o-realtime capabilities.
SomeOddCodeGuy/WilmerAI13,382
Language:
Python
Stars:
830
Forks:
51
Description:
WilmerAI is one of the oldest LLM semantic routers. It uses multi-layer prompt routing and complex workflows to allow you to not only create practical chatbots, but to extend any kind of application that connects to an LLM via REST API. Wilmer sits between your app and your many LLM APIs, so that you can manipulate prompts as needed.
heurist-network/heurist-agent-framework13,387
Language:
Python
Stars:
830
Forks:
90
Description:
A flexible multi-interface AI agent framework for building agents with reasoning, tool use, memory, deep research, blockchain interaction, MCP, and agents-as-a-service.
jonigl/mcp-client-for-ollama13,388
Language:
Python
Stars:
830
Forks:
126
Description:
Harness the power of local LLMs with this TUI MCP Client for Ollama. Featuring all core MCP primitives (tools, prompts, resources), agent mode, multi-server, model switching, streaming responses, human-in-the-loop, thinking mode, model params config, system prompts, and saved preferences.
ZHO-ZHO-ZHO/ComfyUI-BRIA_AI-RMBG13,396
Language:
Python
Stars:
829
Forks:
65
Description:
Unofficial implementation of BRIA RMBG Model for ComfyUI.
jacksteamdev/obsidian-mcp-tools13,399
Language:
TypeScript
Stars:
829
Forks:
121
Description:
Add Obsidian integrations like semantic search and custom Templater prompts to Claude or any MCP client.
mco-org/squad13,403
Language:
Rust
Stars:
829
Forks:
92
Description:
Multi-AI agent terminal collaboration tool.
AgnosticUI/agnosticui13,406
Language:
TypeScript
Stars:
828
Forks:
46
Description:
AgnosticUI Local (v2) is a CLI-based UI component library that copies components directly into your project. Works with AI tools, agent-driven UIs, and prompt-ready workflows.
Key parameters and specifications
Key parameters and specifications
ParameterValue
CategoryAI Engineering
SubcategoryGive agent knowledge, Build agent workflow (SDK)
KeywordsAgent society, Memory management, Prompt engineering, Summarization
Stars830
Forks161
Contributors0
Created date2026-04-18
Updated date2026-10-15
Stars in 1 day0
Stars in 7 days8
Rank13,390
Previous rank6,346
Rank change-7,044
7-day stars rank4,549
Previous 7-day stars rank3,853
7-day stars rank change-696
Total stars rank12,939
Previous total stars rank12,908
Total stars rank change-31
README summary

Run any decision through 5 AI advisors who argue, peer-review each other anonymously, and hand you a verdict you can actually trust. Based on Andrej Karpathy's LLM Council methodology, adapted to run entirely inside Claude Code using sub-agents with different thinking styles. " and it'll find 5 reasons why you should. Same product, different framing, opposite answers. How It Works When you say **"council this"**, the skill: 1. **Scans your workspace** for relevant context (CLAUDE. **Frames your question** into

a neutral prompt 3. **Chairman synthesizes** the verdict: where the council agrees, where it clashes, blind spots it caught, a clear recommendation, and one concrete next step 6. **Generates a visual HTML report** + full markdown transcript All in one session. " "Which of these 3 positioning angles is strongest? " "I'm thinking of pivoting from X to Y. " "Should I hire a VA or build an automation first? " **Skip the council for:** Factual questions with one right answer Pure creation tasks ("write

me a tweet") Summaries or processing tasks Validation-seeking when you already know the answer The council tells you things you don't want to hear.

Frequently asked questions

How many stars and forks are recorded?

tenfoldmarc/llm-council-skill has 830 stars and 161 forks.

What is the repository rank?

tenfoldmarc/llm-council-skill is ranked 13,390.

Which repository is closest in rank?

tenfoldmarc/llm-council-skill is compared with jonigl/mcp-client-for-ollama, ranked 13,388 with 830 stars.

README

LLM Council — A Claude Code Skill

Stop trusting Claude's first answer. Run any decision through 5 AI advisors who argue, peer-review each other anonymously, and hand you a verdict you can actually trust.

Based on Andrej Karpathy's LLM Council methodology, adapted to run entirely inside Claude Code using sub-agents with different thinking styles.


The Problem

Claude is incredibly agreeable. Ask it "should I launch this product?" and it'll find 5 reasons why you should. Ask "is this product a bad idea?" and it'll find 5 reasons why it is. Same product, different framing, opposite answers.

That's fine for writing emails. It's dangerous for making decisions.

How It Works

When you say "council this", the skill:

  1. Scans your workspace for relevant context (CLAUDE.md, memory files, etc.)
  2. Frames your question into a neutral prompt
  3. Spawns 5 advisors in parallel, each with a different thinking style:
    • The Contrarian — hunts for what will fail
    • The First Principles Thinker — asks if you're solving the right problem
    • The Expansionist — looks for upside you're missing
    • The Outsider — responds with zero context (catches curse of knowledge)
    • The Executor — only cares what you do Monday morning
  4. Anonymizes their responses and runs a peer review — advisors review each other without knowing who said what
  5. Chairman synthesizes the verdict: where the council agrees, where it clashes, blind spots it caught, a clear recommendation, and one concrete next step
  6. Generates a visual HTML report + full markdown transcript

All in one session. About 4 minutes.


Install

Option 1 — Git clone (recommended)

git clone https://github.com/tenfoldmarc/llm-council-skill ~/.claude/skills/llm-council

Then open Claude Code (claude in Terminal).

Option 2 — Manual

  1. Create folder ~/.claude/skills/llm-council/
  2. Drop SKILL.md inside it
  3. Restart Claude Code

Use

Type any of these triggers followed by your question:

  • council this
  • run the council
  • pressure-test this
  • stress-test this
  • war room this
  • debate this

Example:

council this: I'm thinking of pivoting from a $297 course to a $97 live workshop for my audience of non-technical solopreneurs. Is that the right move?

Give it context. The richer the input, the sharper the output.

You'll get:

  • A visual HTML report that opens automatically
  • A full markdown transcript saved alongside it

When To Use It

Good council questions:

  • "Should I launch a $97 workshop or a $497 course?"
  • "Which of these 3 positioning angles is strongest?"
  • "I'm thinking of pivoting from X to Y. Am I crazy?"
  • "Here's my landing page copy. What's weak?"
  • "Should I hire a VA or build an automation first?"

Skip the council for:

  • Factual questions with one right answer
  • Pure creation tasks ("write me a tweet")
  • Summaries or processing tasks
  • Validation-seeking when you already know the answer

The council tells you things you don't want to hear. That's the feature, not a bug.


Credit


License

MIT — do whatever you want with it.

Nearby in the ranking
Similar items