Individual skill
ts-kg-build
Build a reusable research-PATTERN knowledge graph from a paper corpus, so ts-idea2story can recall prior problem→solution→story patterns. Claude does the reasoning (story-first pattern extraction, cluster naming + summaries); small scripts do the irreducible math (embeddings via a USER-SUPPLIED endpoint, clustering, graph assembly). Best-effort and honestly optional — without an embedding endpoint it degrades to a flat in-context "pattern shelf". Use to (re)build the KG for a domain, or skip it and let ts-idea2story rely on web search alone.
skills/ts-kg-build/SKILL.md
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- Last checked
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- Repository last updated
- Aug 22, 2026
- License
- MIT
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- research Derived category
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SKILL.mdcore · 6,413 bytesscripts/_dotenv.pyruns · 1,650 bytesscripts/cluster.pyruns · 3,655 bytesscripts/embed.pyruns · 3,799 bytesscripts/kg_build.pyruns · 6,170 bytesscripts/kg_lint.pyruns · 2,201 bytes
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# ts-kg-build — distill a corpus into a research-pattern KG
The product mined a corpus into a graph of **research patterns** (clusters of papers reframed as a
reusable *problem → solution → story*) that recall then surfaces for a new idea. Distilled: **Claude
is the extractor and the cluster namer/summarizer; four small scripts do only the irreducible math.**
A built KG matches the product's `kg_ts/` schema, so `ts-idea2story` reads it unchanged.
> **Honesty (the user accepted this):** a *full, quality* KG needs embeddings + a crawled corpus +
> (for review-weighted edges) a reviews corpus. It is **not guaranteed great**. Build the
> extraction + lite shelf unconditionally; the embedded/clustered path activates only when a
> `TS_EMBED_*` endpoint is configured. TS already ships a built KG (`kg_ts/`) — reuse it; this skill
> is for a NEW domain/corpus.
## Inputs