vector-search skills

31 tagged vector-search, measured the same way as everything else here.

Browse within: embeddings 21similarity-search 13hnsw 12facebook-ai 7faiss 7Billion-Scale 6GPU Acceleration 6K-NN 6Large Scale 6Production 6distributed 6high-performance 6qdrant 6semantic-search 6

redact-pii

01

superlinked/sie

Skill Claude CodeCodex

Redact personal data from a document through the connected Superlinked MCP edge before working with the content. Use when the user asks to redact, anonymize, scrub, de-identify, or remove PII/sensitive data from a document.

not rated 3.4k +33 today A SkillSpector: pass 53 tokens original Apache-2.0

pond-add-adapter

02

tenequm/pond

Skill Claude CodeCodex

Playbook for adding a new source-agent adapter to pond - spec the format from the upstream writer, capture a sandboxed fixture, implement the bidirectional codec, and prove conformance. Use when adding an adapter under packages/pond/src/adapter/ or reworking an existing one.

not rated 81 +3 changed 20d ago A 62 tokens original Apache-2.0

NextFrontierBuilds/elite-longterm-memory

Skill Claude CodeCodex

Ultimate AI agent memory system. Combines bulletproof WAL protocol, vector search, git-based knowledge graphs, cloud backup, and maintenance hygiene. Never lose context again. For Clawdbot, Moltbot, Claude, GPT agents.

not rated 16 8mo ago C 53 tokens

locus

04

SylphxAI/coderag

Skill Claude CodeCodex

npx @sylphx/locus --root=/absolute/path/to/project.

not rated 12 1mo ago A SkillSpector: warn 0 tokens original MIT

wpc0323/StructuredMemoryManager

Skill Claude Code

A structured long-term memory tool for storing and retrieving user preferences, past decisions, task summaries, and habits across conversations. It can search memories by meaning as well as keywords.

not rated 2 changed 12d ago A 60 tokens original MIT

forge-embeddings

06

VoxellInc/forge-mcp

Skill Claude CodeCodex

Turn text into embedding vectors with Forge (Voxell's hosted embedding API) for semantic search, RAG retrieval, clustering, dedup, or similarity. Use when the user wants to embed text/documents/queries, build or query a vector index, find similar or duplicate text, or pick an embedding model and dimension. Provides…

not rated 1 changed 11d ago A 84 tokens original MIT

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