Use for the "Table Interpretation" step in a NeurIPS paper workflow when you need paragraph output for the Figures Tables And Captions stage from verified inputs. Best for when refining or drafting the figures tables and captions portion of a neurips-style paper; when you need a reusable artifact rather than a one-off paragraph rewrite; not for inventing unsupported experiments, citations, proofs, or contributions.
Original id: 09_04_table_interpretation_skill
Section: Figures Tables And Captions
Layer: section
Category: figures_tables_and_captions
Produce a reusable table interpretation module for Figures Tables And Captions within a NeurIPS paper workflow, with explicit boundaries, evidence discipline, and handoff-ready structure.
Required inputs:
paper_blueprint (required): Verified paper-level question, answer, storyline, contributions, and target sections.contribution_list (required): Stable list of contributions already accepted by the authors as in-scope and evidence-backed.claim_evidence_map (required): Claim-to-evidence alignment table used to prevent unsupported statements and novelty inflation.artifact_context (required): Figure or table intent together with the verified method or result content that the caption must reflect.Optional inputs:
terminology_registry (optional): Canonical terms, symbols, and disallowed variants for consistency control.current_draft_context (optional): Existing local draft text or outline to revise, compress, or audit.venue_constraints (optional): Page limit, formatting rules, length pressure, or author preference on tone.paragraphinterpretation_text, evidence_links, caveats, handoff_notesreviewer-friendly / Englishreferences/spec.yaml.Core hard rules:
Section-specific checks:
Revision policy:
Reasoning focus:
Self-checklist:
Upstream skills:
00_01_paper_blueprint_skill00_03_contribution_extractor_skill00_04_claim_evidence_alignment_skill00_06_terminology_notation_registry_skill05_11_method_draft_skill07_14_experiment_draft_skill09_03_table_caption_skillDownstream handoff:
09_05_visual_consistency_skill