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.
Discover reusable agent skills, browse implementation details, and find the right skill for your workflow.
567 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.
A powerful CLI tool for image compression and conversion, supporting batch processing, multiple engines (mozjpeg, pngquant, sharp, etc.), format conversion (WebP, AVIF), and recursive directory optimization.
Manage, search, and extract technical insights from a local paper database. Ideal for developers implementing academic research, verifying code against math, and grounding coding agents in scientific papers.
Automated PR lifecycle management: monitors conflicts, resolves CI failures, handles review feedback, and executes squash-merges for safe code integration.
Analyze C++ code for real-time safety violations including heap allocations, locks, blocking calls, and non-deterministic operations in high-performance audio threads.
An MCP server enabling agents to edit, manage, and compile Arduino IDE 2.0 sketches, including source code manipulation and automated build capabilities via arduino-cli.
Automate OpenAPI 3.0 specification creation, Apidog synchronization, and API documentation lifecycle management for Bun.js TypeScript backends.
Proactive context window management for AI agents via intelligent token monitoring, snapshot creation, and selective state rehydration to maintain continuity during long sessions.
Query Google NotebookLM notebooks directly from Claude Code for source-grounded, citation-backed answers from Gemini. Features persistent authentication, library management, and automated browser-based document retrieval.
Manage your Whop digital store via API: create products, plans, track payments, and memberships. Perfect for automating digital product business workflows.
Enhance fuzzer effectiveness by providing domain-specific tokens, magic bytes, and protocol-specific keywords to reach deep code paths.
React composition patterns for scalable codebases. Refactor complex components, build flexible libraries, and implement compound components or React 19 architecture patterns.