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skill

cx-conversation-embedding-pipeline

ANo problem found

rulebase-co/rulebase-skills

Use to design a pipeline that vectorises support conversations for semantic search or retrieval, with the chunking, PII and deletion decisions made before anything is embedded. Trigger for "make our support conversations searchable", "build a vector index over tickets", "semantic search across transcripts", RAG over support data, chunking transcripts, or an embedding index that returns unhelpful matches.

cx-conversation-embedding-pipeline got grade A on our automated scan on 2026-10-20.

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What grade A means · How the scan works

Before you install

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  2. Note every URL it fetches.
  3. Check allowed-tools and hooks.

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pdf2plot

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The full skill instructions and embedded helper script are in skills/pdf2plot.md at the root of this repository. Read that file now and follow its instructions.

    gen

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      ship

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        init

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        name: init description: Bootstrap the .resonance/ project memory (soul, state, docs scaffold). Run once per new project. disable-model-invocation: true

          goal

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          name: goal description: The autonomous goal loop: frame, decompose, then build and verify each slice against real checks, bounded, never auto-ship. disable-model-invocation: true