Deep Read

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.

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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.

yogsoth-ai/paper-reading/tree/main/staged/wechat-article-v1/skills/deep-read commit a0071c2b7d

Frequently asked questions

npx skillmds@latest add yogsoth-ai/deep-read