ai-llm-patterns
Anthropic Claude integration patterns: streaming, RAG with pgvector, tool use, model selection (Haiku/Sonnet/Opus), prompt caching, and cost management for AI-powered engineering.
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237 skills found
Anthropic Claude integration patterns: streaming, RAG with pgvector, tool use, model selection (Haiku/Sonnet/Opus), prompt caching, and cost management for AI-powered engineering.
Package entire code repositories into single, AI-optimized files. Ideal for providing codebase context to LLMs like Claude, ChatGPT, and Gemini for analysis, security audits, and bug investigations.
Local text-to-speech conversion using Kokoro TTS. Generate audio, read text aloud, and handle multilingual speech synthesis directly in your terminal.
Fetch YouTube transcripts and subtitles. Ideal for video summarization, language learning, accessibility, and content analysis. Supports timestamped data and raw text extraction.
Automated security validation, RLS enforcement, OWASP compliance, and vulnerability scanning for AI-assisted development workflows.
Implement comprehensive TypeScript authentication and authorization using Better Auth, supporting OAuth, 2FA, passkeys, sessions, and multi-tenant features.
Analyze project codebases to generate architecture documentation, coding standards, and development practices for AI onboarding.
Unified Python CLI for Tavily AI operations including web search, URL extraction, site crawling, link mapping, and automated deep research reports.
Automated LSP detection, installation, and configuration for intelligent code analysis, navigation, and diagnostics.
Automated setup and configuration of Model Context Protocol (MCP) servers for Claude Code to enable seamless integration with external databases, APIs, and file systems.
Unified local ML inference server for ASR, TTS, Translation, Image Generation, and Vision on Apple Silicon, powered by MLX.
Multi-perspective AI consultation for technical architecture, complex refactoring, and structured debugging.