14 plugins from public Claude Code marketplaces. Each one bundles skills, slash commands, agents, hooks or MCP servers that install together.
Showing 14 plugins that match these filters.
pixeltable-skillpixeltable/pixeltable-skill1
air-gapped-marketplaceair-gapped/skills1
glebis-skillsglebis/claude-skills1
second-braintonydzi/second-brain-starter-kit1Submit the repo with .claude-plugin/marketplace.json and we list every plugin.
Submit marketplaceVector databases, embeddings, RAG and knowledge graphs over research corpora.
researchMultimodal RAG, video search, image similarity search, agent memory, and embeddings stored with your data. Tables, computed columns, vector search, and video, audio, image, and document pipelines.
Hugging Face Inference SDK patterns for TypeScript/Node.js — InferenceClient setup, chat completion, text generation, streaming, embeddings, image generation, audio transcription, translation, summarization, and Inference Endpoints
Local LLM inference with the Ollama JavaScript client -- chat, streaming, tool calling, vision, embeddings, structured output, model management, and OpenAI-compatible endpoint
Together AI SDK patterns for TypeScript — client setup, chat completions, streaming, structured output, function calling, embeddings, image generation, fine-tuning, and OpenAI-compatible endpoints
Vercel AI SDK patterns - providers, text generation, streaming, structured output, tool calling, chat UI hooks, embeddings, and RAG
Official Cohere TypeScript SDK patterns -- CohereClientV2, chat, embeddings, rerank, RAG with citations, tool use, streaming, and model selection
Official TypeScript SDK for Google Gemini — client setup, text generation, multimodal input, function calling, structured output, streaming, embeddings, context caching, and chat sessions
Official Mistral AI TypeScript SDK patterns — client setup, chat completions, streaming, function calling, structured outputs, embeddings, vision, Codestral FIM, and production best practices
Official OpenAI SDK patterns for TypeScript/Node.js — client setup, Chat Completions, Responses API, streaming, structured outputs, function calling, embeddings, vision, audio, and production best practices
Open WebUI operator suite — REST API administration (v0.10.x: user/group lifecycle, model catalog GitOps via models/sync, config-as-code, SCIM, event webhooks, the 0.10.0 access_control→access_grants break, auth traps), RAG pipeline wiring (HuggingFace embedding + reranker via LiteLLM in front of HuggingFace Text Embeddings Inference; exact wire shapes, LiteLLM ↔ TEI gotchas, TEI configuration cliffs, end-to-end production config; BGE-M3 + BGE-Reranker-v2-m3 worked examples) and multi-pod deployment with WebSockets + Valkey Sentinel at 1000+ user scale (the structural Socket.IO + Redis frame-amplification bug #23733 and the CHAT_RESPONSE_STREAM_DELTA_CHUNK_SIZE mitigation, all multi-pod env vars, custom-model-icon perf history, helm chart gaps, full known-issues catalog with fix status).
ai-workflowIndex and search Claude Code sessions using semantic embeddings (Gemini). Find past sessions by topic, relaunch the best
Opt-in persistent memory: registers the sqlite-graph-memory MCP server (sgm-mcp) over your own notes. Install it only if you want recall across sessions; first start downloads the embeddings stack (about 2 GB).
Fast, lightweight text chunking for RAG pipelines. 11 chunker types (Token, Fast, Sentence, Recursive, Semantic, Late, Code, Neural, Slumber, Table, TeraflopAI), Pipeline API for end-to-end ingestion workflows, embeddings refineries, and vector DB integrations (Chroma, Qdrant, Pinecone, Weaviate, and more).
