Individual skill
agentsop-multiscale-chunking
Designs multiscale chunking for RAG by embedding small units for retrieval precision and returning larger context for synthesis. Use when fixed-size chunks either lose surrounding context or dilute relevance in long documents, manuals, filings, or codebases. Covers sentence-window and parent-child or auto-merging strategies, base chunk sizing, and evaluation. Do not use when a single chunk scale already meets retrieval and generation needs.
skills/agentsop-multiscale-chunking/SKILL.md
Source commit cf4376869e5f23f82404c3021a2a1315dfca318d
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- Last checked
- Nov 6, 2026
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- Repository stars (not skill ratings)
- 465
- Repository last updated
- Oct 24, 2026
- License
- MIT
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- agent-skill Repository topic
- skill-creation Repository topic
- ai-agent Repository topic
- llm-agent Repository topic
- skill-engineering Repository topic
- skill-generation Repository topic
- skill-pipeline Repository topic
- skill-construction Repository topic
- agent-skills Repository topic
- skill-acquisition Repository topic
- engineering Derived category
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README.mddoc · 1,961 bytesSKILL.mdcore · 19,948 bytesSKILL.mdcore · 19,948 bytesSKILL.mdcore · 19,948 bytesSKILL.mdcore · 19,948 bytesSKILL.mdcore · 19,948 bytesSKILL.mdcore · 19,948 bytesintermediate/operation_candidates.jsonasset · 6,323 bytesreferences/R1-source-evidence.mddoc · 7,505 bytes
Read excerpt
# Multi-scale Chunking · C5 Enhancement Overlay
> Overlay on top of [[llamaindex]]. The base skill teaches the 5-layer RAG
> pipeline and lists `DecoupleChunkScope` as one optimization knob among many.
> This overlay zooms in on that single knob and turns it into a standalone
> recipe: **how to resolve the chunk paradox when one chunk size is provably
> not enough.** Third-person analytical view for an agent writing / reviewing
> RAG ingestion code — not an end-user tutorial.
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## 1. 何时激活 (Activation Rules)
Activate this overlay when **all three** RAG preconditions hold and the chunk