Milvus Skill
Description
Agent skill that teaches LLMs to operate Milvus vector database using pymilvus — connection, collections, vector CRUD, search, hybrid search, full-text search, indexing, RBAC, and common patterns like RAG
Installation
This entry records only its repository, not the path inside it, so there is no
exact command to give. Open the source below and copy the folder into
~/.claude/skills/, or the file into ~/.claude/agents/.
README
milvus-skill
An agent skill that teaches LLMs how to use [pymilvus](https://github.com/milvus-io/pymilvus) to operate [Milvus](https://milvus.io/) vector database.
What's Included
- SKILL.md — Main skill definition with connection, collection management, vector operations, and index management
- references/ — Detailed reference docs for each feature area:
collection.md— Data types, schema fields, collection operationsvector.md— Insert, search, hybrid search, full-text search, iterators, filtersindex.md— Index types, metric types, create/manage indexespartition.md— Partition CRUDdatabase.md— Database managementuser-role.md— RBAC: users, roles, privilegespatterns.md— Common patterns (RAG, semantic search, hybrid search, full-text search)
Install as Claude Code Skill
claude skill add --url https://github.com/zilliztech/milvus-skill
Capabilities
- Connect to Milvus Lite, Standalone, Cluster, or Zilliz Cloud
- Create collections with quick or custom schemas
- Insert, upsert, search, query, get, delete vectors
- Hybrid search with RRF/Weighted reranking
- Full-text search with BM25
- Paginated iteration over large result sets
- Index management (AUTOINDEX, HNSW, IVF_FLAT, etc.)
- Partition, database, and RBAC management
Requirements
- Python 3.8+
pymilvus(pip install pymilvus)
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