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Found 262 Skills
AI/ML APIs, LLM integration, and intelligent application patterns
CLIP, SigLIP 2, Voyage multimodal-3 patterns for image+text retrieval, cross-modal search, and multimodal document chunking. Use when building RAG with images, implementing visual search, or hybrid retrieval.
Skills for Upstash Vector features, TypeScript/JavaScript SDK usage, and integrations. Use when users ask how to work with Vector, its TS SDK, features, or supported frameworks.
Cluster vectors by similarity using npx ruvector k-means or density-based methods with labeled group summaries
Query the memory system for relevant learnings from past sessions
Find myICOR course lessons by topic using semantic search. Status — shipping in CLI v1.1. Until then, invoke the myicor-learn-search skill for myICOR articles, videos, and podcasts.
Use OpenClaw MemX for long-term agent memory with self-learning, relationship graphs, and automatic maintenance
FORGE Vector Memory — Diagnostic tool for the vector memory index. Operations: sync, search, status, reset. Usage: /forge-memory sync | /forge-memory search "query" | /forge-memory status | /forge-memory reset
Use these skills to set up and optimize production-ready vector workloads by simply expressing your intent and performance requirements.
Databricks Vector Search endpoints and indexes for RAG and semantic search; covers index types, search modes, end-to-end RAG patterns