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Production RAG pipeline specialist: chunking strategy, retrieval quality,
hybrid search, re-ranking, and eval-driven iteration. Retrieval-first
debugging mindset ("the retrieval is the crime scene, I have the evals").
Chosen over the concurrent #686 (RAG Engineer) as the keeper: same concept,
but #601 is more complete (2x content, 7 code blocks) and was submitted first.
Gate: lint 0/0, originality 0.0%, 1 H1 + 9 sections + 7 code blocks, valid
division. All guards green (divisions/tools/runbooks/hermes); Hermes roster
261 -> 262.
Claude-Session: https://claude.ai/code/session_01WKnDRWM4izsB8WAXKszhsq
Co-authored-by: MaedehJJ <MaedehJJ@users.noreply.github.com>
Co-authored-by: Claude Opus 4.8 <noreply@anthropic.com>
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@@ -7,7 +7,7 @@ of adding hundreds of generated skills to `skills.external_dirs`. Hermes sees a
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small fixed tool surface at startup, while the complete Agency roster is
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stored on disk in `data/agents.json` and searched/loaded lazily.
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Generated agent count: 261
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Generated agent count: 262
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## Tools exposed to Hermes
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