bedrock
AWS Bedrock skill for generative AI development. Provides patterns for model invocation, embeddings, RAG implementation, and model access management.
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33 skills found
AWS Bedrock skill for generative AI development. Provides patterns for model invocation, embeddings, RAG implementation, and model access management.
A workflow methodology for converting complex markdown plans into granular, dependency-aware task 'beads' to optimize agent swarm implementation.
A suite for building complex, multi-component React/Tailwind/shadcn/ui artifacts for Claude.ai, featuring automated bundling into single, self-contained HTML files.
Operational hub for LLM system lifecycle, architecture, and deployment. Features include PEFT/LoRA fine-tuning, RAG pipelines, vLLM throughput optimization, automated drift detection, and CI/CD-integrated evaluation frameworks.
Build autonomous, multi-step AI agents using Pydantic AI (Python) and Claude Agent SDK (Node.js/TypeScript).
Framework for multi-agent collaboration using the Google A2A protocol. Enables messaging, task delegation, and cross-agent coordination for CLI-based AI tools.
A suite of professional tools for auditing, evaluating, chunking, and scaffolding production-ready RAG pipelines within Claude Code.
Anthropic Claude integration patterns: streaming, RAG with pgvector, tool use, model selection (Haiku/Sonnet/Opus), prompt caching, and cost management for AI-powered engineering.
Epsimo AI platform SDK and CLI for building agents with persistent state, Virtual Database, streaming conversations, and a React UI kit.
Search and discover Claude Code skills and MCP servers from marketplaces, GitHub repositories, and registries to enhance your AI-assisted development workflow.
Audit and optimize your AI prompts with Token Surgeon. Detect 10 common waste patterns, calculate efficiency, and reduce token usage for better prompt performance.
Directly interface with RagCode MCP via SSE protocol without complex configuration files or binary dependencies.