Use when `paper-review` needs a canonical manuscript text artifact before claim extraction.
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Run score Not tested
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paper-review pipeline and need output/PAPER.md before claims-extractor.Transforms a manuscript source file into the canonical text artifact used by paper-review.
One manuscript source from the workspace, typically:
inputs/manuscript.mdinputs/manuscript.txtinputs/manuscript.pdfoutput/PAPER.mdscripts/run.py should:
output/PAPER.mdIt should not summarize, critique, or reformat the manuscript into a review.
The output must preserve:
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Internal template for creating or refactoring a skill into the repository's reference-first shape. **Trigger**: reference-first template, blueprint skill, create a reusable skill, refactor a script-heavy skill. **Use when**: you need a lean `SKILL.md`, explicit `references/`, machine-readable `assets/`, and a minimal deterministic `run.py`.
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Download a small corpus of open-access arXiv survey/review PDFs about agentic systems and extract text for style learning.
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Extract per-subsection “anchor facts” (NO PROSE) from evidence packs so the writer is forced to include concrete numbers/benchmarks/limitations instead of generic summaries.
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Curate reader-facing survey tables for the Appendix (clean layout + high information density), using only in-scope evidence and existing citation keys.
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Build a final, machine-readable argument snapshot from current H3 sections and refresh section fingerprints before merge.
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Audit one research Workspace for declared Unit outputs and Pipeline target Artifacts, writing `output/CONTRACT_REPORT.md`; use for mid-Run coverage snapshots or final delivery completeness, not deep provenance integrity.
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