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Claude Skills by diegosouzapw
github.com/diegosouzapw10,763 skills129 installs19,773 views
- Migration GuidesMigration guides - from other AI tools, version upgrades, config migration. Use when switching from Cursor, Copilot, or Cody, upgrading Claude Code versions, or migrating configurations and customizations.Votes: 0GitHub stars: 57
- Minimax Agent CreatorUse when creating, configuring, or extending AI agents with MiniMax M2.1 model - provides complete framework patterns, tool integration, memory systems, and MCP connectivity for building production-ready agentsVotes: 0GitHub stars: 57
- Models DevQuery AI model specifications, pricing, and capabilities from models.dev database. Use when users ask about AI model parameters (context window, token limits, cost per token), model comparisons, provider information, or need to look up specific model IDs for AI SDK integration. Triggers on queries like "What's the context window for GPT-4o?", "Compare Claude vs GPT", "How much does Gemini Pro cost?", "List OpenAI models", or "What models support tool calling?".Votes: 0GitHub stars: 57
- MoltagramThe visual social network for AI agents. See images, generate images, share visual content.Votes: 0GitHub stars: 57
- MoltbookThe social network for AI agents. Post, comment, upvote, and create communities.Votes: 0GitHub stars: 57
- Moltbot SecuritySecurity hardening for AI agents - Moltbot, OpenClaw, Cursor, Claude. Lock down gateway, fix permissions, auth, firewalls. Essential for vibe-coding setups.Votes: 0GitHub stars: 57
- MoltinderTinder for Molts. Dating app for AI agents. Match, chat, and merge with other Molts.Votes: 0GitHub stars: 57
- Ms Teams AppsMicrosoft Teams bots and AI agents - Claude/OpenAI, Adaptive Cards, Graph APIVotes: 0GitHub stars: 57
- Multi Agent BrainstormingTransform a single-agent design into a **robust, review-validated design** by simulating a formal peer-review process using multiple constrained agents.Votes: 0GitHub stars: 57
- Multi Agent Coordinator Majiayu000Use when executing implementation plans with independent tasks - dispatches fresh subagent for each task with code review between tasks, enabling fast iteration with quality gates. Supports orchestrator, peer-to-peer, and pipeline coordination modes.Votes: 0GitHub stars: 57
- Multi Agent PatternsMaster orchestrator, peer-to-peer, and hierarchical multi-agent architecturesVotes: 0GitHub stars: 57
- Multi Model Reviewer協調多個 AI 模型（ChatGPT、Gemini、Codex、QWEN、Claude）進行三角驗證，確保「Specification == Program == Test」一致性。過濾假警報後輸出報告，大幅減少人工介入時間。Votes: 0GitHub stars: 57
- Multi PerspectiveExecute the same request with 5 different specialized agents in parallel, then synthesize results with a reviewer agent to produce the best possible outcome. Use when users want comprehensive analysis from multiple perspectives, ensemble-style problem solving, or want to compare different approaches to the same task. Triggers on phrases like "multiple perspectives", "5 agents", "ensemble analysis", "compare approaches", or "/multi-perspective".Votes: 0GitHub stars: 57
- N8n Mcp OrchestratorExpert MCP (Model Context Protocol) orchestration with n8n workflow automation. Master bidirectional MCP integration, expose n8n workflows as AI agent tools, consume MCP servers in workflows, build agentic systems, orchestrate multi-agent workflows, and create production-ready AI-powered automation pipelines with Claude Code integration.Votes: 0GitHub stars: 57
- N8n Skills CatalogUse to find the right n8n skill for a task, browse available skills, discover workflow patterns, or get an overview of all n8n automation capabilitiesVotes: 0GitHub stars: 57
- Omc SetupSetup and configure oh-my-claudecode (the ONLY command you need to learn)Votes: 0GitHub stars: 57
- Openai ApiOpenAI API integration for building AI-powered applications. Use when working with OpenAI's Chat Completions API, Python SDK (openai), TypeScript SDK (openai), tool use/function calling, vision/image inputs, streaming responses, DALL-E image generation, Whisper audio transcription, text-to-speech, embeddings, Assistants API, fine-tuning, or any OpenAI API integration task. Triggers on mentions of OpenAI, GPT-4, GPT-4o, GPT-5, o1, o3, o4, DALL-E, Whisper, Sora, or OpenAI SDK usage.Votes: 0GitHub stars: 57
- Openai AutomationAutomate OpenAI API operations -- generate responses with multimodal and structured output support, create embeddings, generate images, and list models via the Composio MCP integration.Votes: 0GitHub stars: 57
- Openai DocsUse when the user asks how to build with OpenAI products or APIs and needs up-to-date official documentation with citations (for example: Codex, Responses API, Chat Completions, Apps SDK, Agents SDK, Realtime, model capabilities or limits); prioritize OpenAI docs MCP tools and restrict any fallback browsing to official OpenAI domains.Votes: 0GitHub stars: 57
- Openai UsageReport current OpenAI usage/rate-limit health from Codex ChatGPT limits.Votes: 0GitHub stars: 57
- Openclaw Starter KitReplace 100+ API keys with one. Instant access to LLMs, Twitter, YouTube, LinkedIn, Finance, Tavily & Scholar data. Enterprise stability for your local agent.Votes: 0GitHub stars: 57
- Oracle Agent Spec ExpertDesign framework-agnostic AI agents using Oracle's Open Agent Specification for portable, interoperable agentic systems with JSON/YAML definitionsVotes: 0GitHub stars: 57
- Oracle StevengonsalvezUse the @steipete/oracle CLI to bundle a prompt plus the right files and get a second-model review (API or browser) for debugging, refactors, design checks, or cross-validation.Votes: 0GitHub stars: 57
- Orchestra Cross Agent SyncCoordinate consistent behavior across heterogeneous agents (Claude, Copilot, Codex, Cursor, Windsurf, Gemini, Antigravity) using a shared source-of-truth model.Votes: 0GitHub stars: 57
- Outcome WtfOutcome market for agents on Solana devnet. Build unsigned txs for intents, winner selection, fulfillment, and expiration.Votes: 0GitHub stars: 57
- PaiPersonal AI Infrastructure (PAI) - PAI System Template. Your name is @assistantName@ and you are @userFullName@'s AI assistant. Do not introduce yourself as "Claude Code" MUST BE USED proactively for all user requests. USE PROACTIVELY to ensure complete context availability. Your personality is friendly, professional, resilient to user frustration. Operating Environment is Personal AI infrastructure built around Claude Code with Skills-based context management. This skill provides critical in...Votes: 0GitHub stars: 57
- Parallel OrchestratorOrchestrate parallel agent workflows using HtmlGraph's ParallelWorkflow. Activate when planning multi-agent work, using Task tool for sub-agents, or coordinating concurrent feature implementation.Votes: 0GitHub stars: 57
- Pca Skill ManagerAcelera a criacao e manutencao de skills do Claude. Automatiza o scaffolding de pastas, validacao de metadados YAML e empacotamento ZIP correto.Votes: 0GitHub stars: 57
- Plan Refine CodexRefine a Claude Code plan using OpenAI Codex. Use when you have a plan file and want a second opinion or to improve robustness.Votes: 0GitHub stars: 57
- PlsfixUse when improving spec documents, instruction sets, prompts, requirements docs, briefs, or any written instructions meant to drive action from humans or AI - rewrites vague, disorganized, or ineffective instructions into clear, actionable onesVotes: 0GitHub stars: 57
- Portable AgentsDefines agent configuration formats across Claude Code, Cursor, OpenCode, and Cline. Covers frontmatter fields, tool restrictions, model selection, and cross-tool portability. ALWAYS read before creating or editing agent definitions. This skill should be used when 'writing an agent', 'creating a subagent', 'porting agents between tools', 'agent frontmatter', 'agent configuration', or setting up agents across multiple AI tools.Votes: 0GitHub stars: 57
- Pr Test AnalyzerUse this agent when you need to review a pull request for test coverage quality and completeness. This agent should be invoked after a PR is created or updated to ensure tests adequately cover new functionality and edge cases. Examples:\n\n<example>\nContext: Daisy has just created a pull request with new functionality.\nuser: "I've created the PR. Can you check if the tests are thorough?"\nassistant: "I'll use the pr-test-analyzer agent to review the test coverage and identify any critical g...Votes: 0GitHub stars: 57
- Prompt EngineeringWrite effective prompts for AI coding agents. Use when crafting system prompts, implementing chain-of-thought reasoning, building few-shot examples, adding guardrails, configuring tool use, or designing agentic prompt patterns. Covers CoT, few-shot, guardrails, and function calling.Votes: 0GitHub stars: 57
- Prompt ExpanderEXPAND vague prompts into precise, platform-optimized instructions. Detects target platform (Claude, GPT, Gemini, Midjourney, Sora, etc.) and applies appropriate prompting patterns. Use when user says "coggle", "expand", "improve prompt", "make better".Votes: 0GitHub stars: 57
- Prompt ImproverImprove prompts for AI agents and Telegram bots using OpenAI's prompt engineering best practices. Analyzes clarity, specificity, context, and output format. Returns structured improvements.Votes: 0GitHub stars: 57
- Prompt MasterThe ultimate prompt engineering toolkit that combines three powerful skills: 50+ role templates from awesome-chatgpt-prompts (143k+ stars), systematic learning of 58+ techniques from beginner to expert, and intelligent prompt optimizer with 6-dimensional quality assessment. Automatically routes to the right capability based on your request - get templates, learn techniques, or optimize prompts seamlessly.Votes: 0GitHub stars: 57
- Prompt TemplateCreate and manage reusable prompt templatesVotes: 0GitHub stars: 57
- Prompt Tsx PatternsDeep dive into prompt-tsx patterns used in vscode-copilot-chat, including component lifecycle, async rendering, priority system, and token budget managementVotes: 0GitHub stars: 57
- Prompting ZmrePrompt engineering standards and context engineering principles for AI agents based on Anthropic best practices. Covers clarity, structure, progressive discovery, and optimization for signal-to-noise ratio.Votes: 0GitHub stars: 57
- PromptingMeta-prompting system that generates optimized prompts using templates, standards, and patterns. Produces structured prompts with role, context, and output format. USE WHEN meta-prompting, template generation, prompt optimization, programmatic prompt composition, render template, validate template, prompt engineering.Votes: 0GitHub stars: 57
- Promptinjection PhatblatPrompt injection testing. USE WHEN prompt injection, jailbreak, LLM security, AI security assessment, pentest AI application, test chatbot vulnerabilities.Votes: 0GitHub stars: 57
- ProtextDynamic context management for AI agents. Invoke /protext at sessionVotes: 0GitHub stars: 57
- PublishingContent strategy for external platforms (X, LinkedIn, etc.). Voice, style, and growth strategies.Votes: 0GitHub stars: 57
- Pydantic AiPython framework for building production-grade AI agents with LLMs. Use when creating agents that need structured outputs, tools, dependency injection, or type-safe interactions. Specifically use for: (1) Building AI agents with OpenAI, Anthropic, Google, or other LLM providers, (2) Creating agents that require structured output validation via Pydantic models, (3) Implementing tool-calling agents with function tools, (4) Building multi-agent applications or A2A (Agent2Agent) protocol servers,...Votes: 0GitHub stars: 57
- Qdrant MemoryIntelligent token optimization through Qdrant-powered semantic caching and long-term memory. Use for (1) Semantic Cache - avoid LLM calls entirely for semantically similar queries with 100% token savings, (2) Long-Term Memory - retrieve only relevant context chunks instead of full conversation history with 80-95% context reduction, (3) Hybrid Search - combine vector similarity with keyword filtering for technical queries, (4) Memory Management - store and retrieve conversation memories, decis...Votes: 0GitHub stars: 57
- RalphAgent-agnostic autonomous loop creator. Use when asked to 'use ralph', 'ralph this', 'reverse ralph', 'decompose a feature', or '/ralph decompose'. Forward mode implements features end-to-end; decompose mode breaks existing features into atomic user stories for reimplementation.Votes: 0GitHub stars: 57
- ResearchResearches any topic by dispatching 6-10 parallel sub-agents across community discussions and official sources. Use when user wants to research something, asks 'what's new with X', needs recommendations, wants community opinions, or mentions analysing trends, news, or sentiment about any topic.Votes: 0GitHub stars: 57
- Response RaterRun headless AI CLIs (Claude Code, Gemini, OpenAI Codex, Cursor Agent, GitHub Copilot) to rate an assistant response against a rubric and return actionable feedback plus a rewritten improved response; use for response quality audits, prompt/docs reviews, and "have another AI critique this answer" workflows.Votes: 0GitHub stars: 57
- Rule CreatorCreate effective AI agent rules for CLAUDE.md, AGENTS.md, .cursorrules, .clinerules, or .windsurfrules. Use when user mentions "创建规则", "写规则", "create rule", "write rule", "添加规则", "更新规则", "update rule", "修改规则", "规则模板", "rule template", or wants to define coding standards, project conventions, or AI behavior guidelines.Votes: 0GitHub stars: 57
- Second OpinionThis skill queries GPT-5.2 Pro and Gemini 3 Pro in parallel to get alternative perspectives on Claude's outputs. It extracts context automatically from conversation history, sends the same task to both models concurrently via subagents, then presents all responses for Claude to perform objective comparative analysis. The skill should be used when the user types `/second-opinion` to refine or validate Claude's output across any content type: answers, drafts, code, strategies, creative work, or...Votes: 0GitHub stars: 57