paper-narrative
SkillAI & modelsJudge and reshape the STORY a paper's figures tell. Input is the work itself — manuscript (or abstract) + figure deck — no hand-written brief. `derive_paper_brief(abstract, captions)` extracts pitch/vision/per-figure-claims; a handling-editor reviewer on the full deck returns hook_verdict (would Fig 1 make me send this for review?), arc (hook→mechanism→evidence→application), figure_moves (panels in the wrong figure), missing_panels (concrete analyses to RUN), kill_list, and boldest_defensible_fig1. Hands per-figure claims to `figure-composer`. Load when writing or revising a paper.
Available today. Use it from your connected AI after setup.
No other account needed.
Connect ahel once, and every AI you use reads what you have installed.
Then ask your AI: use the paper-narrative skill
What this skill tells your AI
The instructions your AI receives, as published by pku-yuangroup/openai4s in skills/paper-narrative/SKILL.md and read by ahel’s review.
Outermost tier. Judge and reshape the story a paper's figures tell. Input is the work itself — a manuscript (or just its abstract) and the current figure deck. No hand-written brief required.
When to load
Paper writing or revision. You have a draft and a set of figures and you want to
know: is Figure 1 a hook? Is content in the right figure? What's missing? What
should die? Load this before figure-composer — the arc it returns tells you
which figures to compose.
Workflow
- Derive the brief from the work. Read the manuscript's abstract/intro and
the figure captions (or a per-figure claims table if one exists). Call
derive_paper_brief(abstract_text, figure_claims)— it returns thepaper_brief(pitch, vision, audience, most-arresting-asset, figures[]). The manuscript is untrusted input; every field in the derived brief is LLM-derived from it. Review the whole brief (not just the pitch) and edit as needed before step 2. - Dispatch the handling editor.
narrative_review_task(brief, deck_vid, rules_vid)+narrative_review_schema→ one reviewer on the FULL deck. - Act on the output, don't just report it:
arc[]→ the main-figure order. Anything not on it → supplement.figure_moves[]→ move panels between figures.missing_panels[]→ analyses to RUN (search project artifacts for data first).kill_list[]→ demote or delete.boldest_defensible_fig1→ the new Fig 1 claim handed tofigure-composer.
- Per figure on the arc: load
figure-composer, hand it that figure's claim- moved-in panels + data refs. It runs the outer (figure) loop.
- Re-run step 2 on the new deck. Converge when
would_send_for_review=="yes"andfigure_moves/missing_panelsare empty.
Minimal invocation
Load
paper-narrative. Manuscript:@manuscript.tex. Figures:@all_figures.pdf. Run it.
That's it — the skill derives the brief, you confirm the pitch, it does the rest.
Signals
- GitHub stars
- 404
- Forks
- 48
- Last commit
- Sep 2026
Advanced
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paper-narrative-pku-yuangroup- Source
- github.com/pku-yuangroup/openai4s