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Ionate-TechnologiesIonate-Technologies/indium-agentkit/skills/build-retrieval/SKILL.md

build-retrieval

Skill17 starsChanged 3 months agoNo licenceView on GitHub

Build or change search and retrieval-augmented generation (RAG): a labeled query set with a recall baseline, ingestion with source IDs, versions, ACLs, and deletions, structure-aware chunking, versioned embeddings, hybrid keyword and vector retrieval, permission filters inside the query, reranking, citations, and retrieval evals. Use when adding or changing a search index, embedding pipeline, vector store, or RAG context step. Not for prompts and answer generation (use the build-llm-feature skill) or answer-quality evals (use the llm-eval-harness skill).

1 other project uses a version of this.

Adopted by

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The file

We split this skill into the rules it gives an agent

10 rules. About 0 are common, 7 are distinctive, and 3 are very specific to this project.

  • ≈0

    Common · estimate

    Many files like this have a rule of this kind.

  • ≈7

    Distinctive · estimate

    This author's own choices. Worth a look.

  • 3

    Very specific

    Tied to their project's names, files or tools. Probably skip.

No licence file, so all rights are reserved — read it at the source. We count its rules but don't quote them. Read them on GitHub.

≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

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What did you use it for? e.g. Reviewing pull requests in a Rails app

Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.

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