concept-segmentation
Skill0 starsChanged 6 months agoNo licenceView on GitHub
Segment a chunked document into concept -> chunk_id ranges using a SQLite-backed read-and-extend loop, then optionally prune each concept's evidence to verbatim spans. Use when identifying where concepts begin and end across heuristic (Docling) section boundaries, handling overlapping concepts, and resuming after failure. Storage is SQLite3 + JSON1 holding the LangChain Document format — id / metadata range filtering only, no embeddings. The relevance filter (ColBERT span extraction) is flag-gated and OFF by default. Cross-reference: `extractive-context-pruning` for the optional span primitive; `book-concept-distillation` for the tier context.
In this repository219 other files it gives its agents.
- agents/AGENTS.mdAGENTS.md
- AGENTS.mdAGENTS.md
- codex-agents/AGENTS.mdAGENTS.md
- memory-bank/AGENTS.mdAGENTS.md
- copilot-instructions.mdCopilot instructions
- .github/copilot-instructions.mdCopilot instructions
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We split this skill into the rules it gives an agent
8 rules. About 0 are common, 6 are distinctive, and 2 are very specific to this project.
≈0
Common · estimate
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≈6
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2
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