CommunityProdutividade e Colaboraçãogithub.com

am-will/swarm-planner

[INVOCAÇÃO EXPLÍCITA APENAS] Cria planos de implementação conscientes de dependências, otimizados para execução paralela multiagente.

O que é swarm-planner?

Este skill permite que um agente AI, como Claude Code, Cursor ou Codex, gere planos de implementação estruturados que reconhecem dependências entre tarefas e são otimizados para execução paralela por múltiplos agentes. Ele é útil para coordenar equipes de agentes em projetos complexos, dividindo o trabalho em unidades independentes que podem ser executadas simultaneamente, minimizando bloqueios e maximizando a eficiência. O plano gerado inclui uma sequência lógica de passos, com identificação clara de dependências e quebra em tarefas paralelizáveis, facilitando a delegação e o monitoramento do progresso. É ativado explicitamente pelo usuário, sendo ideal para ambientes de desenvolvimento onde a concorrência e a orquestração são críticas.

Funciona com~Claude Code~Codex CLI~Cursor
Part ofAgent Workflows
npx skills add https://github.com/am-will/codex-skills/tree/main/skills/swarm-planner

Installed? Explore more Produtividade e Colaboração skills: steipete/gemini, steipete/gh-issues, steipete/skill-creator · View all 6 →

Ver original→Navegar por todas as habilidades

Perguntar na sua IA favorita

Abre um novo chat com esta habilidade de agente já pré-carregada.

OpenAIChatGPTClaudeClaudeGeminiGeminiGrokGrokPerplexityPerplexityDeepSeekDeepSeek

Documentação

O que swarm-planner faz?

[INVOCAÇÃO EXPLÍCITA APENAS] Cria planos de implementação conscientes de dependências, otimizados para execução paralela multiagente.

Visão Geral

O am-will/swarm-planner é um skill para agentes AI que auxilia na criação de planos de implementação detalhados. Ele identifica dependências entre tarefas e organiza o trabalho em uma ordem que permite a execução paralela por múltiplos agentes, aumentando a produtividade em projetos colaborativos.

Funcionalidades

  • Análise de Dependências: Identifica relações de precedência entre tarefas.
  • Otimização Paralela: Agrupa tarefas independentes para execução simultânea.
  • Estrutura Clara: Fornece um plano com etapas, dependências e agentes designados.

Como Usar

  1. Invoque explicitamente o skill com o comando:
/am-will/swarm-planner <descrição do projeto>
  1. O skill retornará um plano estruturado contendo:
    • Lista de tarefas
    • Dependências entre tarefas
    • Sugestões de paralelização
    • Atribuição de agentes (se aplicável)

Exemplo

Entrada:

"Implementar um microserviço de autenticação"

Saída:

tarefas:
  - id: 1
    descrição: Definir esquema de banco de dados
    dependências: []
    paralelo: verdadeiro
  - id: 2
    descrição: Criar endpoints da API
    dependências: [1]
    paralelo: falso
  - id: 3
    descrição: Implementar lógica de autenticação
    dependências: [2]
    paralelo: falso

Notas

  • Este skill deve ser invocado explicitamente; não é acionado automaticamente.
  • Funciona com agentes que suportam skills via linha de comando ou interface.

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/llm-council

Orchestrate a configurable, multi-member CLI planning council (Codex, Claude Code, Gemini, OpenCode, or custom) to produce independent implementation plans, anonymize and randomize them, then judge and merge into one final plan. Use when you need a robust, bias-resistant planning workflow, structured JSON outputs, retries, and failure handling across multiple CLI agents.

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/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.

Habilidades Relacionadas

steipete/gemini

Gemini CLI one-shot prompts, summaries, generation, skills, hooks, MCP, or Gemma routing.

community

steipete/gh-issues

Fetch GitHub issues, select candidates, spawn background fix agents, open PRs, and optionally process PR review comments.

community

steipete/skill-creator

Create, edit, audit, tidy, validate, or restructure AgentSkills and SKILL.md files.

community

steipete/clawhub

Search, install, update, sync, or publish agent skills with the ClawHub CLI and registry.

community

steipete/coding-agent

Delegate coding work to Codex, Claude Code, or OpenCode as background workers; not simple edits or read-only code lookup.

community

steipete/mcporter

List, configure, authenticate, call, and inspect MCP servers/tools with mcporter over HTTP or stdio.

community
← More Produtividade e Colaboração skills