embeddings
Vector embeddings with HNSW indexing, sql.js persistence, and hyperbolic support. 75x faster with agentic-flow integration. Use when: semantic search, pattern matching, similarity queries, knowledge retrieval. Skip when: exact text matching, simple lookups, no semantic understanding needed.
66
1.60x
Quality
56%
Does it follow best practices?
Impact
74%
1.60xAverage score across 3 eval scenarios
Securityby
Passed
No known issues
Optimize this skill with Tessl
npx tessl skill review --optimize ./.agents/skills/embeddings/SKILL.mdNo security issues found
Scanned
- Repository
- ruvnet/ruflo
- Commit
398f7c2
- Audited
- Security analysis
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