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Install in OpenClaw
/install vector-databases
Description
Deep vector database workflow—embedding choice, index algorithms, recall/latency trade-offs, hybrid search, filtering, operational tuning, and cost. Use when...
Usage Guidance
This is an instruction-only, read-only workflow document and appears safe and internally consistent. Two practical notes before installing/enabling: (1) provenance: the skill lists no source or homepage—if you require traceability, ask the owner for authorship or a canonical repo/website. (2) permissions: although the skill itself asks for nothing, when you use it you may direct your agent to connect to real vector DBs or systems—limit the agent's access to sensitive credentials and review any automated actions. If you need stronger assurance, request the author/source or convert the guidance into an internal vetted checklist.
Capability Analysis
Type: OpenClaw Skill
Name: vector-databases
Version: 1.0.0
The skill bundle contains purely procedural documentation and workflow instructions for an AI agent to assist with vector database selection and optimization. There is no executable code, no network requests, and no instructions that would lead to data exfiltration or unauthorized access (SKILL.md, _meta.json).
Capability Assessment
Purpose & Capability
The name/description (vector DB workflows and tuning) matches the SKILL.md content. The skill requests no binaries, env vars, or config access—consistent with a pure guidance/checklist document.
Instruction Scope
SKILL.md is high-level operational guidance and question/checklist prompts; it does not instruct the agent to read files, access environment variables, make network calls, or exfiltrate data. It stays within the expected scope for a workflow doc.
Install Mechanism
No install spec and no code files (instruction-only). This minimizes installation risk—nothing will be written to disk or downloaded by the skill itself.
Credentials
The skill requires no environment variables or credentials. There are no unrelated or excessive secret requirements.
Persistence & Privilege
always:false and no install/persistence behavior. The skill can be invoked normally by the agent but does not request permanent presence or elevated privileges.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install vector-databases - After installation, invoke the skill by name or use
/vector-databases - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
Initial release with a comprehensive workflow for selecting and optimizing vector databases.
- Covers end-to-end process: problem definition, embeddings, index algorithms, hybrid search, operations, and evaluation.
- Supports decision-making for Pinecone, Milvus, Qdrant, Weaviate, pgvector, OpenSearch kNN, and similar tools.
- Emphasizes recall, latency, cost trade-offs, tuning, and metadata filtering.
- Includes actionable checklists, metrics, and guidance for troubleshooting and iteration.
Metadata
Frequently Asked Questions
What is Vector Databases?
Deep vector database workflow—embedding choice, index algorithms, recall/latency trade-offs, hybrid search, filtering, operational tuning, and cost. Use when... It is an AI Agent Skill for Claude Code / OpenClaw, with 222 downloads so far.
How do I install Vector Databases?
Run "/install vector-databases" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Vector Databases free?
Yes, Vector Databases is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does Vector Databases support?
Vector Databases is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Vector Databases?
It is built and maintained by clawkk (@clawkk); the current version is v1.0.0.
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