Paper Narrative

Paper narrative

Use this skill before figure-composer. The sidecar only builds schemas and

self-contained reviewer instructions. Model reasoning happens in the current

Agent or an explicitly delegated Wisp Agent, never inside Python.

Workflow

• Read the abstract, introduction, captions, and concrete figure paths.
• Build an instruction with paper_brief_task(...). Produce a brief matching

paper_brief_schema() in the current Agent. If delegate_tasks is advertised,

the brief may instead be assigned to one reasoning task with a structured

output schema.

• Review the entire brief. Preserve supplied composite_path values and fix

unsupported claims before continuing.

• If the deck is a PDF, use pdf-explore to render the relevant pages to local

images. Pass their concrete paths to narrative_review_task(...).

• Inspect the images with view_image. Optionally delegate one handling-editor

task with the minimum advertised reasoning, project_read, and

image_inspection capabilities and narrative_review_schema().

• Act on the result:
• use arc as the main-figure order;
• apply figure_moves;
• turn missing_panels into explicit analyses;
• demote or remove the kill_list;
• send boldest_defensible_fig1 to figure-composer.
• Re-review the revised deck. Converge when the hook verdict is yes and no

figure moves or missing panels remain.

Use run_in_context only for deterministic analyses requested by

missing_panels. Narrative reasoning and Agent delegation are not Runs.

Boundaries

• Do not pass artifact markers where a path is required.
• Do not call another model from python.
• Do not claim the deck was inspected unless every relevant page was rendered

and viewed.