--- name: paper-narrative description: 'Judge and reshape the story told by an entire paper figure deck. Use when writing or revising a paper to derive a grounded brief from the manuscript and captions, review the full deck as a handling editor, and hand an ordered figure arc to `figure-composer`.' license: Apache-2.0 --- # Paper Narrative — manuscript → brief → figure arc → editorial loop `paper-narrative` is the outermost figure workflow. It judges the paper-level story before `figure-composer` designs any one figure. The inputs are the work itself: a manuscript (or abstract), figure captions, and the current full deck. ## Open-Science Notebook call Every `notebook_execute` request whose `code` uses a function named in this skill includes this skill ID: ```json { "kernelSkillIds": ["paper-narrative"], "code": "print(paper_brief_schema())" } ``` `kernelSkillIds` contains the skill ID; function calls belong in `code`. This request is complete as written: call the named functions directly and do not add an import or discovery step. ## Required inputs and trust labels Keep these inputs distinct throughout the workflow: - `manuscriptVersionId`: immutable manuscript Artifact Version (an abstract-only manuscript is allowed) and the reviewed manuscript text read from it. - `abstractText`: reviewed abstract text when available; use it for bounded brief reasoning while retaining the full manuscript Version as source provenance. - `captionsVersionId`: immutable captions Artifact Version and the reviewed per-figure caption or claim text read from it. - `deckVersionId`: immutable deck Artifact Version containing every current figure in review order. - `rulesVersionId`: immutable design-rules Artifact Version, used only as a reference so the editor judges story rather than visual craft. - `figureDataVersionIds`: immutable data Artifact Versions grouped by figure. - `figureWidthMmByFigure`: reviewed positive venue width for each figure; the downstream composer must not invent this physical output constraint. Manuscript, captions, deck, and data are source inputs. Every brief, review, arc, move, omission, and proposed analysis is model-generated and requires human review. Never describe generated text as manuscript evidence or source data. Preserve the input Version identities when publishing or delegating downstream work. ## 1. Reason from manuscript and captions Load the reviewed manuscript/abstract and captions content into the JavaScript control-plane request. Obtain `paper_brief_schema()` in Python first. Then call the current tool-less Host model and require JSON only: ```javascript const briefSchema = paperBriefSchemaFromNotebook const Ajv2020 = require('ajv/dist/2020').default const validateBrief = new Ajv2020({ allErrors: true }).compile(briefSchema) const briefSourceText = abstractText || manuscriptText let repair = '' let brief for (let attempt = 1; attempt <= 2; attempt += 1) { const prompt = `Return JSON only. The complete paper_brief JSON Schema is:\n${JSON.stringify(briefSchema)}\n` + `Manuscript Artifact Version: ${manuscriptVersionId}\n` + `Captions Artifact Version: ${captionsVersionId}\n` + `Reviewed abstract/manuscript source:\n${briefSourceText}\n\nCaptions/claims:\n${captionsText}\n\n` + `Pitch is the grandest supportable one-sentence claim, not the method. ` + `Vision is the killer application: what readers can now do. ` + `Name the audience and the single most-arresting image.` + repair if (Buffer.byteLength(prompt, 'utf8') > 64 * 1024) { throw new Error( 'paper brief prompt exceeds host.llm 64 KiB UTF-8 limit; provide a reviewed abstract or shorter captions' ) } const briefDraft = await host.llm(prompt) if (briefDraft.stopReason !== 'end_turn') { throw new Error(`paper brief inference stopped with ${briefDraft.stopReason}`) } let candidate let problem try { candidate = JSON.parse(briefDraft.text) if (validateBrief(candidate)) { brief = candidate break } problem = JSON.stringify(validateBrief.errors) } catch (error) { problem = error instanceof Error ? error.message : String(error) } if (attempt === 2) throw new Error('invalid paper brief after corrective retry') repair = `\nPrevious response was invalid: ${problem}. Repair it and return JSON only. ` + `Previous response:\n${briefDraft.text.slice(0, 8000)}` } ``` `host.llm` does not enforce a caller-provided schema. The code therefore checks the UTF-8 request budget, requires `stopReason === "end_turn"`, parses JSON, and validates with the same bundled Ajv 2020 implementation used elsewhere in the control plane. Prefer the reviewed abstract because a full manuscript commonly exceeds the hard 64 KiB prompt limit; never silently truncate source text. If a corrective retry still fails, stop. Do not fill missing required fields with guesses. After validation, attach the immutable figure/data references from the source claim table. Then review every field — pitch, vision, audience, most-arresting asset, and every figure claim — before continuing. Fix unsupported wording explicitly; never silently treat the first model draft as approved. ## 2. Review the full deck as a handling editor Generate the task with `narrative_review_task(reviewedBrief, deckVersionId, rulesVersionId)` and obtain `narrative_review_schema()` in Python. Dispatch one reviewer from `repl_execute`. All three work inputs are explicit alongside the deck; the schema makes the expected model result reviewable: ```javascript const collectStructuredBatch = async (requests) => { const receipts = await host.delegate(requests, { wait: false }) const children = await host.collect( receipts.children.map(({ frameId, attemptId }) => ({ frameId, attemptId })), { returnWhen: 'all', timeoutSeconds: 1800 } ) return children.map((child) => { if (!child || child.status !== 'completed' || child.error) { throw new Error( `delegated workflow failed: ${child?.error ?? child?.status ?? 'missing child'}` ) } if (child.structuredOutputUnsatisfied || child.structuredOutput === undefined) { throw new Error('delegated workflow returned no schema-valid structuredOutput') } return child.structuredOutput }) } let narrativeRound = 1 const request = { name: `paper-narrative-editor-r${narrativeRound}`, task: reviewTask, inputs: [manuscriptVersionId, captionsVersionId, deckVersionId, rulesVersionId], outputSchema: reviewSchema } const [review] = await collectStructuredBatch([request]) ``` Require a completed child and a schema-valid result. Human-review the result as an editorial recommendation, not a fact extraction. Preserve all of the original narrative judgments: - `hook_verdict`: whether Figure 1 alone earns external review, why, what it is, and what it should become. - `arc`: hook → mechanism → evidence → application; off-arc material moves to supplement unless a reviewed exception is justified. - `figure_moves`: panels whose correct figure changes, with the reason. - `missing_panels`: what to show, the concrete analysis to run, and the closest source-data hint. Search existing project artifacts before proposing new work. - `kill_list`: content to demote to supplement/caption or delete. - `boldest_defensible_fig1`: the strongest supportable Figure 1 claim, never a merely louder unsupported claim. ## 3. Hand the reviewed arc to figure-composer After human review, build root-level composition specifications only for arc figures that actually need a visual revision. A figure needs recomposition when it gains or loses a moved panel, receives an accepted missing-panel analysis, has no existing `composite_vid`, or its reviewed claim/layout differs from the current figure. Record any additional human-approved layout changes in `explicitlyReviewedRecomposeFigures`; do not treat a new narrative order alone as a reason to redraw a figure. Reuse the exact existing `composite_vid` for every untouched figure. Do **not** delegate the whole `figure-composer`: delegated children cannot call `host.delegate`, while the composer must fan out panel workers. Remain in the Main/root agent, load `figure-composer`, and complete its workflow for each changed specification in review order. Each specification must include: 1. that entry's exact reviewed `one_line` claim; 2. every reviewed moved-in panel whose `to_fig` matches the arc figure and every moved-out panel whose `from_fig` matches it, so the source composition removes the transferred material; 3. the immutable data Artifact Version references grounding the claim and moved panels; and 4. any accepted missing-panel analysis result after it has actually been run and published as an Artifact Version; and 5. the reviewed physical `width_mm` for that figure. Build `inputs` as an order-preserving union: the target figure's source-data Versions, every moved item's `from_fig` source-data Versions, and the published missing-analysis Versions for the target. Deduplicate identities. A brief figure's `composite_vid` identifies rendered figure output; it is not source data and must never be substituted for these input references. After the human decision and analysis run, keep the independently reviewed `acceptedMissingPanelRecommendations`. Populate `publishedMissingAnalysisVersionIdsByRecommendation` only from successful Artifact writes, then map every accepted recommendation to its published Version. Each resolved entry carries the reviewed `target_fig`, `what_to_show`, and exact `version_id`. Fail closed if any accepted recommendation has no verified published Version; never derive redraws directly from all model-proposed `review.missing_panels`. For accepted `kill_list` actions on panels/content inside a retained arc figure, record a reviewed `target_fig` in `acceptedKillActions`, retaining the exact `what`, `why`, and `demote_to`. Whole-figure removals are represented by omission from the reviewed arc and do not enter this composition queue. Verify their removal from the rebuilt deck and publish any reviewed supplement/caption destination before treating those whole-figure actions as complete. Do not infer affected figures from free text or apply rejected recommendations. Pass these actions to the composer: remove the content from its original panel, and retain demoted material in the reviewed supplement or caption destination before publishing. Track those destination changes together with the composition. Initialize `currentFiguresByKey` and `currentDataVersionIdsByFigure` once before the first review round, then retain and update them across every round. Build the complete changed-figure queue without slicing it. The stable arc index prevents sanitized or truncated figure keys from colliding, while the round keeps panel/reviewer delegate names unique across narrative rounds: ```javascript // Initialize once, outside the review/recompose loop. const currentFiguresByKey = new Map(brief.figures.map((figure) => [figure.key, figure])) const currentDataVersionIdsByFigure = new Map( Object.entries(figureDataVersionIds).map(([key, versions]) => [key, [...versions]]) ) ``` ```javascript // Recompute these values after each human-reviewed narrative result. The Map is // populated from actual successful write_artifact_file results and keyed by the // exact accepted recommendation object. const acceptedPublishedMissingAnalyses = acceptedMissingPanelRecommendations.map( (recommendation) => { const version_id = publishedMissingAnalysisVersionIdsByRecommendation.get(recommendation) if (typeof version_id !== 'string' || !version_id) { throw new Error( `accepted missing-panel analysis has no published Version: ${recommendation.what_to_show}` ) } return { ...recommendation, version_id } } ) for (const action of acceptedKillActions) { if (!review.arc.some((item) => item.fig === action.target_fig)) { throw new Error(`accepted kill action needs an arc figure: ${action.target_fig}`) } } const changedFigures = new Set([ ...acceptedKillActions.map((action) => action.target_fig), ...review.figure_moves.flatMap((move) => [move.from_fig, move.to_fig]), ...acceptedPublishedMissingAnalyses.map((analysis) => analysis.target_fig), ...review.arc .filter((item) => { const existing = currentFiguresByKey.get(item.fig) return !existing?.composite_vid || existing.claim !== item.one_line }) .map((item) => item.fig), ...explicitlyReviewedRecomposeFigures ]) const compositionQueue = review.arc.flatMap((item, arcIndex) => { if (!changedFigures.has(item.fig)) return [] const movedIn = review.figure_moves.filter((move) => move.to_fig === item.fig) const movedOut = review.figure_moves.filter((move) => move.from_fig === item.fig) const missingAnalyses = acceptedPublishedMissingAnalyses.filter( (analysis) => analysis.target_fig === item.fig ) const sourceInputs = [ ...(currentDataVersionIdsByFigure.get(item.fig) ?? []), ...movedIn.flatMap((move) => currentDataVersionIdsByFigure.get(move.from_fig) ?? []), ...missingAnalyses.map((analysis) => analysis.version_id) ] const width_mm = figureWidthMmByFigure[item.fig] if (!Number.isFinite(width_mm) || width_mm <= 0) { throw new Error(`missing positive width_mm for ${item.fig}`) } const figureKey = String(item.fig) .normalize('NFC') .replace(/[^\p{L}\p{N}-]+/gu, '-') .replace(/^-+|-+$/g, '') .slice(0, 12) if (!figureKey) throw new Error(`figure key cannot form a delegate prefix: ${item.fig}`) return [ { figure: item.fig, claim: item.one_line, movedInPanels: movedIn.map((move) => move.what), movedOutPanels: movedOut.map((move) => move.what), killActions: acceptedKillActions.filter((action) => action.target_fig === item.fig), dataVersionIds: [...new Set(sourceInputs)], width_mm, delegatePrefix: `paper-r${narrativeRound}-${String(arcIndex + 1).padStart(2, '0')}-${figureKey}` } ] }) ``` For every queued entry, pass its claim, data summaries/Version IDs, `width_mm`, `delegatePrefix`, moved-in/out panels, and accepted `killActions` into the root `figure-composer` workflow. Incorporate these content changes into its outline and verify them against the final output, including supplement/caption destinations. Record the accepted composite Version ID only after the producer child's structured output matches its finalized `figure.png` Artifact and the independent reviewer accepts that same Version. Never accept a model-proposed or merely non-empty string as the composite identity. After each accepted composition, update both persistent maps using the queue entry and that validated Version ID: ```javascript currentFiguresByKey.set(entry.figure, { key: entry.figure, claim: entry.claim, composite_vid: acceptedCompositeVersionId }) currentDataVersionIdsByFigure.set(entry.figure, [...entry.dataVersionIds]) ``` Retain these maps across rounds. Previously transferred data and accepted analysis Versions must still ground later redraws, even when the current review proposes no further move or analysis. Do not update either map after a failed publication. The composer itself sends panel workers in waves of four. Once every queued entry has a verified composite Version, build and publish a new deck from the mapped Versions in complete arc order, including reused untouched Versions. Retain its immutable `rebuiltDeckVersionId`, and include that exact identity in the next review request's `inputs`. Never invent an identity, hard-code the next revision, omit queue entries beyond the first four, or substitute a redrawn Version for an untouched figure. The producer's notebook request records the composer's collected delegated panel Versions through `artifactVersionInputs`. The application resolves those identities and persists them as `inputFiles` with `artifact-version` source kind; callers supply identities only and never paths or provenance metadata. ## 4. Re-review and converge Review the rebuilt full deck again with the manuscript and captions identities still present in `inputs: [manuscriptVersionId, captionsVersionId, rebuiltDeckVersionId, rulesVersionId]`. Apply and verify all accepted content actions, including kill actions and their supplement/caption destinations, before checking convergence. A failed or unapplied accepted action leaves the workflow unfinished even if the editorial condition below is true. Editorial convergence is exactly: ```javascript review.hook_verdict.would_send_for_review === 'yes' && review.figure_moves.length === 0 && review.missing_panels.length === 0 ``` Do not erase a kill list or weaken an arc merely to satisfy convergence. If the condition is false, human-review the new recommendations, run accepted missing analyses, increment `narrativeRound`, and rebuild only the newly affected figures with new delegate prefixes while retaining untouched composite Version identities. Stop and report an unresolved editorial disagreement when the evidence cannot support the desired hook. ## Minimal invocation > Load `paper-narrative`. Manuscript: `@manuscript.tex`. Captions: > `@captions.md`. Deck: `@all_figures.pdf`. Derive the brief, ask me to review > model-generated judgments, reshape only affected arc figures through > `figure-composer` while reusing every untouched composite Version, and re-review > until the explicit convergence condition is met or the evidence blocks it.