Tools are how AI agents interact with the world. A well-designed tool is the difference between an agent that works and one that hallucinates, fails silently, or costs 10x more tokens than...
Tools are how AI agents interact with the world. A well-designed tool is the difference between an agent that works and one that hallucinates, fails silently, or costs 10x more tokens than...
Build complex AI systems with declarative programming, optimize prompts automatically, create modular RAG systems and agents with DSPy - Stanford NLP's framework for systematic LM programming
Expert developer skill for implementing real-time voice and video interactions using the Google Gemini Live API. This skill should be used when implementing bidirectional audio streaming, voice...
Control LLM output with regex and grammars, guarantee valid JSON/XML/code generation, enforce structured formats, and build multi-step workflows with Guidance - Microsoft Research's constrained...
Build AI agents that interact with computers like humans do - viewing screens, moving cursors, clicking buttons, and typing text. Covers Anthropic's Computer Use, OpenAI's Operator/CUA, and...
Build AI agents that interact with computers like humans do - viewing screens, moving cursors, clicking buttons, and typing text. Covers Anthropic's Computer Use, OpenAI's Operator/CUA, and...
Universal code quality rules. Extends nothing β this is the base skill every project should include. Use when writing or reviewing any code.
Comprehensive Sanity development best practices covering GROQ performance, schema design, Visual Editing, images, Portable Text, page builders, Studio configuration, TypeGen, localization, and...
LLM observability platform for tracing, evaluation, and monitoring. Use when debugging LLM applications, evaluating model outputs against datasets, monitoring production systems, or building...
Enforce repository coding standards for Swift 6.2 concurrency, Swift language rules. Use when reviewing or implementing Swift code changes.
Code review expert for security, quality, and performance analysis. Use when reviewing code, PRs, conducting security audits, or identifying performance issues.
Detects violations of Clean Code principles and suggests refactorings. Use when reviewing code quality, improving readability, or refactoring methods, classes, and modules.
Implementation strategy selection framework with meta-cognitive approach, verification levels, and integration point definitions. Use when planning implementation strategy, selecting development...
Conduct context-driven code reviews focusing on quality, testability, and maintainability. Use when reviewing code, providing feedback, or establishing review practices.
Develop examples for AI SDK functions. Use when creating, running, or modifying examples under examples/ai-functions/src to validate provider support, demonstrate features, or create test fixtures.
Generate QR codes with URLs and UTM tracking. Exports PNG/SVG with captions. Use for single codes, batch generation, or marketing campaigns with tracking parameters.
Synthesize and generate AWS infrastructure as code using CDK. Creates composable infrastructure components and deployment patterns programmatically.
GitHub Spec-Kit integration for constitution-based spec-driven development. 7-phase workflow. Triggers: "spec-kit", "speckit", "constitution", "specify", ".specify/", "θ§ζ Όι©±ε¨εΌε", "ιζ±θ§ζ Ό".
Create a Technical Design Document for your MVP. Use when the user wants to plan architecture, choose tech stack, or says "plan technical design", "choose tech stack", or "how should I build this".