Use for the "Cross Section Consistency" step in a NeurIPS paper workflow when you need paragraph output for the Global Governance stage from verified inputs. Best for when refining or drafting the global governance 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: 00_05_cross_section_consistency_skill
Section: Global Governance
Layer: global
Category: global_governance
Produce a reusable cross section consistency module for Global Governance 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.assembled_section_artifacts (required): Drafted section artifacts or a full paper snapshot used to detect cross-section drift and contradictions.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.paragraphconsistency_findings, conflict_locations, required_fixes, handoff_notesreviewer-friendly / Englishreferences/spec.yaml.Core hard rules:
Section-specific checks:
Revision policy:
Reasoning focus:
Self-checklist:
Upstream skills:
00_04_claim_evidence_alignment_skillDownstream handoff:
00_06_terminology_notation_registry_skill