extract-structured-bundlelisted

Finalize a paper's verified reading output into the exact bundle schema (problem/method/key_result/limitation, each with a source_anchor) that all downstream fact-checking and article-drafting sops consume. Use this as the last step of the deep-read strategy, after third-pass-verify, whenever you need to hand off a finished bundle to quality-assurance or audience-first-writing.
yogsoth-ai/paper-reading · ★ 1 · AI & Automation · score 76

Install: claude install-skill yogsoth-ai/paper-reading

# Extract Structured Bundle Structures and validates the paper-reading output into the exact schema every downstream sop (quality-assurance, audience-first-writing) depends on. No new paper content is read here — this is a finalization/validation step, not an extraction step. ## Execution Subagent — spawned via subagent-spawning/spawn-agent skill. ## Why Subagent Schema validation and field-completeness checking benefit from being a distinct, reviewable step — separating "did we extract the right content" (second/third pass) from "is it in the right shape" (this sop) makes failures easier to diagnose. ## v1 Schema Note This uses ONE generic schema (problem/method/key_result/limitation) regardless of paper_type, per the plan's ponytail-approved trim of the original 3-way empirical/survey/theoretical schema split (see `docs/superpowers/plans/2026-07-30-paper-reading-v1-mainline.md`, Global Constraints and Deferred Scope). `paper_type` is still tracked (from first-pass-skim) for future use but does not currently branch this sop's schema.  ## Available SOPs Optional, no fixed order; the final leaf is always a sop. | SOP | When to use | | --- | --- | | spawn-agent | Spawn a customized CC subagent with full MCP tool access. |