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Found 1,327 Skills
Use Gemini to find existing solutions before building from scratch. Leverages Google Search grounding to discover code examples, libraries, and best practices to avoid reinventing the wheel.
Use when design is complete and you need detailed implementation tasks for engineers with zero codebase context - creates comprehensive implementation plans with exact file paths, complete code examples, and verification steps assuming engineer has minimal domain knowledge
Search GitHub for real-world code examples and implementation patterns. Use when user wants to find code examples on GitHub, search GitHub repositories, discover how others implement features, learn library usage patterns, or research architectural approaches. Fetches top results with smart ranking (stars, recency, language), extracts factual data (imports, syntax patterns, metrics), and returns clean markdown for analysis and pattern identification.
Fine-tune models on your data to maximize quality and cut costs. Use when prompt optimization hit a ceiling, you need domain specialization, you want cheaper models to match expensive ones, you heard "fine-tuning will make us AI-native", you have 500+ training examples, or you need to train on proprietary data. Covers DSPy BootstrapFinetune, BetterTogether, model distillation, and when to fine-tune vs optimize prompts.
Search GitHub code across millions of repositories using grep.app. Use when you need to find code patterns, implementations, examples, or understand how features are built in public codebases. (project)
Socratic questioning to examine beliefs, uncover assumptions, and develop deeper understanding. Use to challenge thinking, evaluate proposals, or teach without lecturing.
Guide for authoring comprehensive PRDs with parallel planning support. Use for drafting technical specifications, defining requirements, and synthesizing planner outputs. Use proactively when creating PRDs, architecture designs, or implementation plans. Examples: - user: "Draft a PRD for user auth" → create PRD with purpose, requirements, and scenarios - user: "Analyze these PRD requirements" → verify SHALL/MUST usage and scenario structure - user: "Synthesize planner outputs" → merge the strongest parts of multiple generated PRDs - user: "Create a PRD template" → setup standard sections and placeholder content
Validates Angular rules are real, accurate, and valuable. Researches best practices, validates code examples, and checks for clear decision criteria.
Development workflow and quality gates for the Bun + TypeScript stack. **ALWAYS use before commits** to ensure quality gates are met. Also use when starting development or when user asks about workflow process. Examples - "before commit", "quality gates", "workflow checklist", "bun commands", "pre-commit checks".
Query official Microsoft documentation to find concepts, tutorials, and code examples across Azure, .NET, Agent Framework, Aspire, VS Code, GitHub, and more. Uses Microsoft Learn MCP as the default, with Context7 and Aspire MCP for content that lives outside learn.microsoft.com.
Instruments Python and TypeScript code with MLflow Tracing for observability. Triggers on questions about adding tracing, instrumenting agents/LLM apps, getting started with MLflow tracing, or tracing specific frameworks (LangGraph, LangChain, OpenAI, DSPy, CrewAI, AutoGen). Examples - "How do I add tracing?", "How to instrument my agent?", "How to trace my LangChain app?", "Getting started with MLflow tracing", "Trace my TypeScript app"
Teach Claude ANY topic - code libraries, APIs, concepts, tools, methodologies, or domains. Researches via web and docs, then retains knowledge as a permanent skill. Use when user says "/learn <topic>", "learn about X", "teach yourself Y", "become an expert on Z". Examples - "/learn stripe" for payments, "/learn GTD" for productivity, "/learn israeli-tax-law" for domain knowledge.