Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Tencent SkillHub ยท Developer Tools
Alicloud Ai Search Milvus
Use AliCloud Milvus (serverless) with PyMilvus to create collections, insert vectors, and run filtered similarity search. Optimized for Claude Code/Codex vector retrieval flows.
skill openclawclawhub Free
Use AliCloud Milvus (serverless) with PyMilvus to create collections, insert vectors, and run filtered similarity search. Optimized for Claude Code/Codex vector retrieval flows.
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Install for OpenClaw
Quick setup
- Download the package from Yavira.
- Extract the archive and review SKILL.md first.
- Import or place the package into your OpenClaw setup.
Package facts
- Download mode
- Yavira redirect
- Package format
- ZIP package
- Source platform
- Tencent SkillHub
- What's included
- SKILL.md, agents/openai.yaml, references/sources.md, scripts/quickstart.py
Validation
- Use the Yavira download entry.
- Review SKILL.md after the package is downloaded.
- Confirm the extracted package contains the expected setup assets.
Install with your agent
Agent handoff
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
- Download the package from Yavira.
- Extract it into a folder your agent can access.
- Paste one of the prompts below and point your agent at the extracted folder.
New install
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete.
Upgrade existing
I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run.
Trust & source
Release facts
- Source
- Tencent SkillHub
- Verification
- Indexed source record
- Version
- 1.0.3
Provenance
- Publisher
- cinience
- Source page
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- Canonical URL
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Documentation
AliCloud Milvus (Serverless) via PyMilvus
This skill uses standard PyMilvus APIs to connect to AliCloud Milvus and run vector search.
Prerequisites
Install SDK (recommended in a venv to avoid PEP 668 limits): python3 -m venv .venv . .venv/bin/activate python -m pip install --upgrade pymilvus Provide connection via environment variables: MILVUS_URI (e.g. http://<host>:19530) MILVUS_TOKEN (<username>:<password>) MILVUS_DB (default: default)
Quickstart (Python)
import os from pymilvus import MilvusClient client = MilvusClient( uri=os.getenv("MILVUS_URI"), token=os.getenv("MILVUS_TOKEN"), db_name=os.getenv("MILVUS_DB", "default"), ) # 1) Create a collection client.create_collection( collection_name="docs", dimension=768, ) # 2) Insert data items = [ {"id": 1, "vector": [0.01] * 768, "source": "kb", "chunk": 0}, {"id": 2, "vector": [0.02] * 768, "source": "kb", "chunk": 1}, ] client.insert(collection_name="docs", data=items) # 3) Search query_vectors = [[0.01] * 768] res = client.search( collection_name="docs", data=query_vectors, limit=5, filter='source == "kb" and chunk >= 0', output_fields=["source", "chunk"], ) print(res)
Script quickstart
python skills/ai/search/alicloud-ai-search-milvus/scripts/quickstart.py Environment variables: MILVUS_URI MILVUS_TOKEN MILVUS_DB (optional) MILVUS_COLLECTION (optional) MILVUS_DIMENSION (optional) Optional args: --collection, --dimension, --limit, --filter.
Notes for Claude Code/Codex
Insert is async; wait a few seconds before searching newly inserted data. Keep vector dimension aligned with your embedding model. Use filters to enforce tenant scoping or dataset partitions.
Error handling
Auth errors: check MILVUS_TOKEN and instance permissions. Dimension mismatch: ensure all vectors match collection dimension. Network errors: verify VPC/public access settings on the instance.
Validation
mkdir -p output/alicloud-ai-search-milvus for f in skills/ai/search/alicloud-ai-search-milvus/scripts/*.py; do python3 -m py_compile "$f" done echo "py_compile_ok" > output/alicloud-ai-search-milvus/validate.txt Pass criteria: command exits 0 and output/alicloud-ai-search-milvus/validate.txt is generated.
Output And Evidence
Save artifacts, command outputs, and API response summaries under output/alicloud-ai-search-milvus/. Include key parameters (region/resource id/time range) in evidence files for reproducibility.
Workflow
Confirm user intent, region, identifiers, and whether the operation is read-only or mutating. Run one minimal read-only query first to verify connectivity and permissions. Execute the target operation with explicit parameters and bounded scope. Verify results and save output/evidence files.
References
PyMilvus MilvusClient examples for AliCloud Milvus Source list: references/sources.md
Category context
Code helpers, APIs, CLIs, browser automation, testing, and developer operations.
Source: Tencent SkillHub
Largest current source with strong distribution and engagement signals.
Package contents
Included in package
2 Docs1 Scripts1 Config
- SKILL.md
- references/sources.md
- scripts/quickstart.py
- agents/openai.yaml