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am-will/llm-council

编排一个可配置的多成员CLI规划委员会(支持Codex、Claude Code、Gemini、OpenCode或自定义),生成独立实施方案,匿名化和随机化后评审并合并为最终方案。适用于需要稳健、抗偏见的规划工作流、结构化JSON输出、重试机制以及跨多个CLI代理的故障处理场景。

llm-council 是什么?

LLM Council 是一款专为 AI 软件工程师设计的强大 CLI 工具,它能创建一个由多个大型语言模型代理(如 Codex、Claude Code、Gemini、OpenCode 或用户自定义)组成的“规划委员会”。该工具的核心价值在于通过引入多样化的意见来消除单一模型可能存在的偏见,从而产生更稳健、更全面的实施方案。其工作流程清晰:首先,协调委员会成员独立生成各自的实现计划;然后,这些计划会被匿名化和随机化处理,以消除身份和顺序带来的潜在影响;接着,一个指定的“评审员”代理(例如Claude Code)会对所有匿名计划进行独立评估;最后,这些计划和评审结果会被合并成一个结构化的JSON格式最终计划。LLM Council 支持丰富的配置选项,包括指定委员会成员、定义系统提示、设置重试机制和超时时间,从而能够很好地适应不同的项目需求。最终输出是一个结构化的 JSON 文件,其中包含了所有独立计划、评审意见以及合并后的最终计划,方便后续集成和处理。

兼容平台✓Claude Code✓Codex CLI~Cursor✓Gemini CLI✓OpenCode
npx skills add https://github.com/am-will/codex-skills/tree/main/skills/llm-council

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llm-council 是做什么的?

编排一个可配置的多成员 CLI 规划委员会(支持 Codex、Claude Code、Gemini、OpenCode 或自定义),生成独立实施方案,匿名化和随机化后评审并合并为最终方案。适用于需要稳健、抗偏见的规划工作流、结构化 JSON 输出、重试机制以及跨多个 CLI 代理的故障处理场景。

Individual skills in this repo

This repo contains 17 individual skills — each has its own dedicated page.

am-will/agent-browser

A fast Rust-based headless browser automation CLI with Node.js fallback that enables AI agents to navigate, click, type, and snapshot pages via structured commands.

am-will/context7

Fetch up-to-date library documentation via Context7 CLI. Use PROACTIVELY when: (1) Working with ANY external library (React, Next.js, Supabase, etc.) (2) User asks about library APIs, patterns, or best practices (3) Implementing features that rely on third-party packages (4) Debugging library-specific issues (5) Need current documentation beyond training data cutoff (6) AND MOST IMPORTANTLY, when you are installing dependencies, libraries, or frameworks you should ALWAYS check the docs to see what the latest versions are. Do not rely on outdated knowledge. Always prefer this over guessing library APIs or using outdated knowledge.

am-will/frontend-design

Create distinctive, production-grade frontend interfaces with high design quality. Use this skill when the user asks to build web components, pages, or applications. Generates creative, polished code that avoids generic AI aesthetics.

am-will/frontend-responsive-design-standards

Build responsive, mobile-first layouts using fluid containers, flexible units, media queries, and touch-friendly design that works across all screen sizes. Use this skill when creating or modifying UI layouts, responsive grids, breakpoint styles, mobile navigation, or any interface that needs to adapt to different screen sizes. Apply when working with responsive CSS, media queries, viewport settings, flexbox/grid layouts, mobile-first styling, breakpoint definitions (mobile, tablet, desktop), touch target sizing, relative units (rem, em, %), image optimization for different screens, or testing layouts across multiple devices. Use for any task involving multi-device support, responsive design patterns, or adaptive layouts.

am-will/gemini-computer-use

Build and run Gemini 2.5 Computer Use browser-control agents with Playwright. Use when a user wants to automate web browser tasks via the Gemini Computer Use model, needs an agent loop (screenshot → function_call → action → function_response), or asks to integrate safety confirmation for risky UI actions.

am-will/markdown-url

Route any website you need to visit through markdown.new by prefixing the URL. **WHEN TO USE:** - You would normally open a website link to read content (docs, blog posts, changelogs, GitHub issues, etc.) - You need a cleaner, Markdown-friendly view for copying notes or summarizing

am-will/openai-docs-skill

Query the OpenAI developer documentation via the OpenAI Docs MCP server using CLI (curl/jq). Use whenever a task involves the OpenAI API (Responses, Chat Completions, Realtime, etc.), OpenAI SDKs, ChatGPT Apps SDK, Codex, MCP integrations, endpoint schemas, parameters, limits, or migrations and you need up-to-date official guidance.

am-will/parallel-task

Only to be triggered by explicit /parallel-task commands.

am-will/parallel-task-spark

Only to be triggered by explicit /parallel-task-spark commands.

am-will/plan-harder

Use when user specfically says 'plan harder'.

am-will/planner

Create comprehensive, phased implementation plans with sprints and atomic tasks. Use when user says: "make a plan", "create a plan", "plan this out", "plan the implementation", "help me plan", "design a plan", "draft a plan", "write a plan", "outline the steps", "break this down into tasks", "what's the plan for", or any similar planning request. Also triggers on explicit "/planner" or "/plan" commands.

am-will/read-github

Read and search GitHub repository documentation via gitmcp.io MCP service. **WHEN TO USE:** - User provides a GitHub URL - User mentions a specific repo in owner/repo format - User asks "what does this repo do?", "read the docs for X repo", or similar - User wants to search code or docs within a repo

am-will/role-creator

Create and update Codex custom agents using standalone custom-agent TOML files.

am-will/super-swarm-spark

Only to be triggered by explicit super-swarm-spark commands.

am-will/swarm-planner

[EXPLICIT INVOCATION ONLY] Creates dependency-aware implementation plans optimized for parallel multi-agent execution.

am-will/tdd-test-writer

Writes failing tests first for test-driven development and hands off a strict implementation contract that requires agents to make those tests pass without weakening the tests. Use when users ask for test-first workflows, RED/GREEN cycles, or behavior-gating tasks with automated tests.

am-will/vercel-react-best-practices

React and Next.js performance optimization guidelines from Vercel Engineering. This skill should be used when writing, reviewing, or refactoring React/Next.js code to ensure optimal performance patterns. Triggers on tasks involving React components, Next.js pages, data fetching, bundle optimization, or performance improvements.

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