retrieval-system
claudeText search: semantic, filtered, hybrid (BM25 + vector), multi-vector
5 skills
Core tools: pilot (main controller), embedding, chunking, indexing, rerank, ray, local-setup
Plugin core from marketplace milvus-marketplace in zilliztech/milvus-marketplace. Commands read from the repo's manifest — 1 month ago.
chunkingUse when user needs to split documents into chunks for RAG or search. Triggers on: chunking, split, chunk size, text splitter, token limit, overlap.
embeddingUse when user needs to convert text/images to vectors. Triggers on: embedding, vectorize, encode, text-to-vector, model selection, sentence-transformers, OpenAI embeddings, BGE, CLIP.
indexingUse when user needs to create collections, indexes in Milvus. Triggers on: indexing, collection, create index, HNSW, IVF, schema, Milvus collection, vector storage.
local-setupUse when user needs to set up Milvus locally. Triggers on: local setup, install milvus, docker, docker-compose, dev environment, milvus standalone, milvus lite.
pilotUse when user wants to build AI applications, data pipelines, or any development project. Triggers on: AI application, build, project, data, pipeline, API, service, backend, LLM, GPT, Claude, model. Also expert in: vector, RAG, embedding, semantic search, recommendation, Milvus, Zilliz, knowledge ba
rayUse when user needs to process data at scale. Triggers on: batch processing, data ingestion, pipeline, parallel processing, GPU acceleration, video processing, PDF processing, large-scale.
rerankUse when user needs to improve search relevance with reranking. Triggers on: rerank, relevance, cross-encoder, search quality, top-k reranking, second-stage ranking.
Text search: semantic, filtered, hybrid (BM25 + vector), multi-vector
5 skills
Multimodal search: image, text-to-image, video, multimodal RAG
4 skills
RAG solutions: basic RAG, rerank, agentic, multi-hop
4 skills
Data analytics: duplicate detection, clustering
2 skills
Recommendation: item-to-item similarity, user-to-item personalization
2 skills
Long-term memory for chatbots and AI assistants
1 skill
AgentDB memory controllers with HNSW vector search, RuVector embeddings, and causal graphs
2 skills · 2 commands · 1 agent
Full Domino Data Lab platform support — workspaces, jobs, model deployment, experiment tracking, GenAI tracing, Spark/Ray/Dask, and app deployment for data science teams
26 skills · 4 commands · 3 agents · 1 MCP server
Build multimodal AI applications with Pixeltable -- tables, computed columns, embedding search, UDFs, tool-calling agents, and 25+ AI provider integrations.
1 skill · 2 commands · 2 agents · hooks
Roll Claude Code out to a team with guardrails you can check. Four deterministic stdlib scripts: a settings linter that reads shared, local, user and managed settings together (array merge, deny-ask-allow order) and blocks blanket shell allows, pre-approved destructive commands and committed credentials; an MCP and plugin inventory that blocks anything missing from your approved list or holding a literal secret, and flags unpinned or plain-http servers; a CLAUDE.md layering audit that resolves every layer and @import and flags broken imports, contradictions, secrets and resident size; and a privacy-safe adoption tracker that turns local session files into counts only and classifies the rollout as PILOT, SPREADING, EMBEDDED or STALLED. Ships cs-claude-code-rollout agent, /cs-claude-rollout and /cs-claude-settings-lint commands, 3 references, a baseline managed-settings policy and a four-phase rollout plan.
1 skill · 2 commands · 1 agent
Domain-specific technology experts - blockchain, fintech, gaming, IoT, payments, X/Twitter APIs
Data curation and processing at scale including NeMo Curator and Ray Data. Use when preparing training datasets or processing large-scale data.
98 skills
This page updates itself from your repo. Add the badge to your README, or get it Featured to pin it above the organic results with a followed link to your site.