CommunityProduktivität & Zusammenarbeitgithub.com

am-will/llm-council

Orchestrieren Sie einen konfigurierbaren, mehrköpfigen CLI-Planungsrat (Codex, Claude Code, Gemini, OpenCode oder benutzerdefiniert), um unabhängige Implementierungspläne zu erstellen, diese zu anonymisieren und zu randomisieren, dann zu bewerten und zu einem endgültigen Plan zusammenzuführen. Verwenden Sie dies, wenn Sie einen robusten, verzerrungsresistenten Planungsworkflow mit strukturierten JSON-Ausgaben, Wiederholungsversuchen und Fehlerbehandlung über mehrere CLI-Agenten hinweg benötigen.

Was ist llm-council?

Der Skill `am-will/llm-council` ermöglicht es einem KI-Assistenten, einen virtuellen Planungsrat aus mehreren CLI-basierten LLM-Agenten (z. B. Codex, Claude Code, Gemini, OpenCode) zu orchestrieren. Der Workflow beginnt mit der Generierung unabhängiger Implementierungspläne durch jedes Ratsmitglied. Diese Pläne werden dann anonymisiert und in zufälliger Reihenfolge präsentiert, um Verzerrungen zu vermeiden. Ein Bewertungsmodul analysiert die Pläne basierend auf definierten Kriterien und führt sie zu einem optimierten, endgültigen Plan zusammen. Der Skill ist besonders nützlich für komplexe Planungsaufgaben, bei denen unterschiedliche Perspektiven und Redundanz gewünscht sind, und bietet strukturierte JSON-Ausgaben, konfigurierbare Wiederholungsversuche und robuste Fehlerbehandlung. Er läuft in der CLI und ist ideal für Developer-Tools-Workflows.

Funktioniert mit✓Claude Code✓Codex CLI~Cursor✓Gemini CLI✓OpenCode

Part ofAgent Workflows

npx skills add https://github.com/am-will/codex-skills/tree/main/skills/llm-council

Installed? Explore more Produktivität & Zusammenarbeit skills: steipete/gemini, steipete/gh-issues, steipete/skill-creator · View all 6 →

Original anzeigen→Alle Skills durchsuchen

In Ihrer bevorzugten KI fragen

Öffnet einen neuen Chat, in dem dieser Agent-Skill bereits geladen ist.

ChatGPT Claude Gemini Grok Perplexity DeepSeek

Dokumentation

Was macht llm-council?

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.