Search indexed documentation for relevant information. Use when the user asks about libraries, frameworks, APIs, or needs code examples from official docs.
Search indexed documentation for relevant information using mem-oracle.
Use this skill when the user asks about:
Base URL: http://127.0.0.1:7432
curl http://127.0.0.1:7432/health
curl -X POST http://127.0.0.1:7432/retrieve \
-H "Content-Type: application/json" \
-d '{"query": "your search query", "topK": 5}'
To index a new documentation site:
curl -X POST http://127.0.0.1:7432/index \
-H "Content-Type: application/json" \
-d '{"baseUrl": "https://docs.example.com", "seedSlug": "/getting-started"}'
curl http://127.0.0.1:7432/status
Results include:
title: Page titleheading: Section heading (if available)content: Relevant text snippeturl: Source documentation URLscore: Relevance score (0-1)When you encounter a documentation URL in the conversation, you can index it:
# Index Next.js docs
curl -X POST http://127.0.0.1:7432/index \
-H "Content-Type: application/json" \
-d '{"baseUrl": "https://nextjs.org", "seedSlug": "/docs/app"}'
# Index React docs
curl -X POST http://127.0.0.1:7432/index \
-H "Content-Type: application/json" \
-d '{"baseUrl": "https://react.dev", "seedSlug": "/reference"}'
If the worker is not responding:
curl http://127.0.0.1:7432/healthtail -f ~/.mem-oracle/worker.logcd /path/to/mem-oracle && bun run workerSearch for places (restaurants, cafes, etc.) via Google Places API proxy on localhost.
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Category:developer