seekdb-docs – OpenClaw Skill

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name: seekdb-docs description: Provides documentation and knowledge for seekdb database. When users ask about seekdb topics, automatically locate relevant documentation through the catalog file (from github).

seekdb Documentation Skill

This skill provides comprehensive documentation for the seekdb database. When users ask about seekdb-related topics, you should use the documentation catalog to locate and read the relevant documentation.

Documentation Access Strategy

This skill supports remote-only documentation access: the catalog and document files are fetched from GitHub.

Remote Documentation URLs

• Base URL: https://raw.githubusercontent.com/oceanbase/seekdb-doc/V1.0.0/en-US/
• Catalog File: https://raw.githubusercontent.com/oceanbase/seekdb-doc/V1.0.0/en-US/450.reference/1600.seekdb-docs-catalog.md
• Full Document URL: Base URL + File Path (from catalog)

How to Use This Skill

When a user asks about seekdb, follow these steps:

Step 1: Access the Documentation Catalog

1. Fetch the remote catalog: https://raw.githubusercontent.com/oceanbase/seekdb-doc/V1.0.0/en-US/450.reference/1600.seekdb-docs-catalog.md
2. If the request fails (network error, timeout, etc.), inform the user that the documentation is currently unavailable and suggest retrying later

The catalog contains:

• All documentation entries organized by category
• File paths for each documentation file
• Descriptions of what each document covers
• Quick reference section for common topics

Step 2: Match the Query to Documentation

Search through the catalog for entries whose Description matches the user's query. Look for:

• Exact keyword matches (e.g., "jina" → "Jina model integration")
• Related terms (e.g., "integration" → entries under "Model Platform Integrations", "Framework Integrations", etc.)
• Category matches (e.g., "vector search" → entries under "Vector Search" section)

The catalog is organized into these main categories:

• Get Started: Quick start tutorials and basic operations
• Development Guide: Vector search, hybrid search, AI functions, MCP server, multi-model data
• Integrations: Frameworks, model platforms, developer tools, workflows, MCP clients
• Guides: Deployment, management, security, OBShell, performance testing
• Reference: SQL syntax, PL, error codes, SDK APIs
• Tutorials: Step-by-step tutorials and scenarios

Step 3: Read the Documentation File

Once you've identified the matching entry, construct the full URL and fetch the document:

• Full URL = https://raw.githubusercontent.com/oceanbase/seekdb-doc/V1.0.0/en-US/ + File Path
• Example: https://raw.githubusercontent.com/oceanbase/seekdb-doc/V1.0.0/en-US/200.develop/600.search/300.vector-search/300.vector-similarity-search.md

Fetch the document content from this URL to answer the user.

Examples

Example 1: Remote Access

User: "How do I use vector search in seekdb?"

Process:

1. Fetch remote catalog: https://raw.githubusercontent.com/oceanbase/seekdb-doc/V1.0.0/en-US/450.reference/1600.seekdb-docs-catalog.md
2. Find entries under "Vector Search" section
3. Fetch remote doc: https://raw.githubusercontent.com/oceanbase/seekdb-doc/V1.0.0/en-US/200.develop/600.search/300.vector-search/100.vector-search-intro.md

Example 2: Overview Query

User: "What is seekdb?"

Process:

1. Fetch remote catalog: https://raw.githubusercontent.com/oceanbase/seekdb-doc/V1.0.0/en-US/450.reference/1600.seekdb-docs-catalog.md
2. Find entry under "Seekdb Overview"
3. Fetch remote doc: https://raw.githubusercontent.com/oceanbase/seekdb-doc/V1.0.0/en-US/100.get-started/10.overview/10.seekdb-overview.md

Example 3: Subsequent Query in Same Conversation

User: "Now tell me about hybrid search" (Previous query in this conversation successfully used remote)

Process:

1. Already have the catalog from previous fetch
2. Find entries under "Hybrid Search" section from the catalog
3. Fetch remote doc: https://raw.githubusercontent.com/oceanbase/seekdb-doc/V1.0.0/en-US/200.develop/600.search/500.hybrid-search.md

Example 4: Integration Query

User: "I want to integrate seekdb with jina"

Process:

1. Fetch remote catalog: https://raw.githubusercontent.com/oceanbase/seekdb-doc/V1.0.0/en-US/450.reference/1600.seekdb-docs-catalog.md
2. Find entry under "Model Platform Integrations": "Guide to integrating seekdb vector search with Jina AI..."
3. Extract file path: 300.integrations/200.model-platforms/100.jina.md
4. Fetch remote doc: https://raw.githubusercontent.com/oceanbase/seekdb-doc/V1.0.0/en-US/300.integrations/200.model-platforms/100.jina.md

Guidelines

• Use remote (GitHub) only — fetch catalog and documents from the remote URLs; there is no local mode
• On fetch failure, inform the user that docs are temporarily unavailable and suggest retrying or checking network
• Match descriptions semantically - don't just look for exact keyword matches
• Use the Quick Reference section at the bottom of the catalog for common topics
• If multiple entries match, fetch all relevant files to provide comprehensive answers

URL Reference

Remote

• Catalog: https://raw.githubusercontent.com/oceanbase/seekdb-doc/V1.0.0/en-US/450.reference/1600.seekdb-docs-catalog.md
• Base URL: https://raw.githubusercontent.com/oceanbase/seekdb-doc/V1.0.0/en-US/