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deep-readlisted

Deep-reading strategy that turns a single specified academic paper into a structured, source-anchored bundle (problem, method, key results, limitations) ready for fact-checking and article drafting. Use this whenever the user names one specific paper (by arXiv ID, URL, or title) and wants it read, summarized, explained, or turned into content — this is the entry point of the paper-reading pipeline.
yogsoth-ai/paper-reading · ★ 1 · AI & Automation · score 70
Install: claude install-skill yogsoth-ai/paper-reading
# Deep Read **Purpose**: Turn one specified paper into a structured bundle with source anchors, via progressive multi-pass reading. **When to use**: The user has named one specific paper and wants it deeply understood — the first strategy in the paper-reading pipeline (see `paper-reading/ENTRY.md` for the full 3-strategy sequence: deep-read → quality-assurance → audience-first-writing). ## Available Tactics - `progressive-passes` — the only tactic in v1 (default, full 3-pass read). `targeted-extraction` (angle-first, cheaper) is deferred to v2. ## Execution Guidance Invoke `progressive-passes` directly. There is no tactic-selection decision in v1 since only one tactic exists. ## Output A structured bundle (see `extract-structured-bundle` sop for the exact schema) — this is what `quality-assurance` and `audience-first-writing` both consume next.