tenfoldmarc/llm-council-skill 排名第 13,390,有 830 个星标。
同类别比较
tenfoldmarc/llm-council-skill 排名第 13,390,此处有 8 个同类条目;jonigl/mcp-client-for-ollama 排名第 13,388。
同类别比较| 名称 | 排名 | 指标 |
|---|
| Azure-Samples/aoai-realtime-audio-sdk | 13,379 | - 语言:
- TypeScript
- 星标数:
- 830
- 分叉数:
- 188
- 简介:
- Azure OpenAI code resources for using gpt-4o-realtime capabilities.
|
|---|
| SomeOddCodeGuy/WilmerAI | 13,382 | - 语言:
- Python
- 星标数:
- 830
- 分叉数:
- 51
- 简介:
- 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-framework | 13,387 | - 语言:
- Python
- 星标数:
- 830
- 分叉数:
- 90
- 简介:
- 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-ollama | 13,388 | - 语言:
- Python
- 星标数:
- 830
- 分叉数:
- 126
- 简介:
- 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-RMBG | 13,396 | - 语言:
- Python
- 星标数:
- 829
- 分叉数:
- 65
- 简介:
- Unofficial implementation of BRIA RMBG Model for ComfyUI
|
|---|
| jacksteamdev/obsidian-mcp-tools | 13,399 | - 语言:
- TypeScript
- 星标数:
- 829
- 分叉数:
- 121
- 简介:
- Add Obsidian integrations like semantic search and custom Templater prompts to Claude or any MCP client.
|
|---|
| mco-org/squad | 13,403 | - 语言:
- Rust
- 星标数:
- 829
- 分叉数:
- 92
- 简介:
- Multi-AI agent terminal collaboration tool
|
|---|
| AgnosticUI/agnosticui | 13,406 | - 语言:
- TypeScript
- 星标数:
- 828
- 分叉数:
- 46
- 简介:
- 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.
|
|---|
关键参数与规格
关键参数与规格| 参数 | 值 |
|---|
| 类别 | AI Engineering |
|---|
| 子类别 | Give agent knowledge,Build agent workflow (SDK) |
|---|
| 关键词 | Agent society, Memory management, Prompt engineering, Summarization |
|---|
| 星标数 | 830 |
|---|
| 分叉数 | 161 |
|---|
| 贡献者 | 0 |
|---|
| 创建日期 | 2026-04-18 |
|---|
| 更新日期 | 2026-10-15 |
|---|
| 1 天星标数 | 0 |
|---|
| 7 天星标数 | 8 |
|---|
| 排名 | 13,390 |
|---|
| 上次排名 | 6,346 |
|---|
| 排名变化 | -7,044 |
|---|
| 7 天星标排名 | 4,549 |
|---|
| 上次 7 天星标排名 | 3,853 |
|---|
| 7 天星标排名变化 | -696 |
|---|
| 总星标排名 | 12,939 |
|---|
| 上次总星标排名 | 12,908 |
|---|
| 总星标排名变化 | -31 |
|---|
README 摘录
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.
常见问题
记录了多少星标和分叉?
tenfoldmarc/llm-council-skill 有 830 个星标和 161 个分叉。
仓库排名是多少?
tenfoldmarc/llm-council-skill 排名第 13,390。
哪个仓库排名最接近?
tenfoldmarc/llm-council-skill 与 jonigl/mcp-client-for-ollama 比较,后者排名第 13,388,有 830 个星标。
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:
- Scans your workspace for relevant context (CLAUDE.md, memory files, etc.)
- Frames your question into a neutral prompt
- 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
- Anonymizes their responses and runs a peer review — advisors review each other without knowing who said what
- Chairman synthesizes the verdict: where the council agrees, where it clashes, blind spots it caught, a clear recommendation, and one concrete next step
- 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
- Create folder
~/.claude/skills/llm-council/
- Drop
SKILL.md inside it
- 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.