claude

embed

AI Operations Team — Embed: Embedding model selection, vector pipeline design, similarity search, and production index management.

77 on GitHubby tonone-aiv1.20.0MITupdated 2 days ago
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Plugin embed from marketplace tonone-ai in tonone-ai/tonone. Commands read from the repo's manifest — 2 days ago.

What it installs

Skills (3)

  • embed-design

    Design embedding pipelines — model selection, batching, normalization, index refresh strategy. Use when asked to "design an embedding pipeline", "which embedding model should we use", or "how should we batch embeddings".

  • embed-recon

    Audit embedding infrastructure — model drift, index freshness, query latency, coverage gaps. Use when asked to "audit our embeddings", "is our index stale", or "find embedding coverage gaps".

  • embed-search

    Optimize similarity search — ANN index tuning, hybrid search, reranking, query expansion. Use when asked to "improve similarity search", "tune the ANN index", or "add hybrid search".

Subagents (1)

  • embed

    Embeddings and vector search — model selection, pipeline design, similarity search, production index management

View source on GitHub second.tonone.ai

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