Academic Paper Analyzer & Figure Planner

Academic Paper Analyzer & Figure Planner

Produce an executable Figure Plan. No palette tables here — hand venue/domain/figure types to color-expert later.

Missing info: → ../docs/missing-info-policy.md

Input Contract

• Prefer: paper PDF/LaTeX/Word, section drafts, abstract, method/experiments, repo quick-understanding doc, extracted architecture notes
• Minimum: title+abstract, or one method/experiment section, or a repo understanding doc
• Missing: partial plan with 推断 / 待确认

Output Contract — Figure Plan

• paper overview (topic, contributions)
• completeness block
• per-section figure recommendations
• priority ranking (must / strong / nice)
• palette: style family hint (classic vs pastel) + venue/domain/module-count — not hex tables; see ../docs/palettes.md

Steps

Step 1: Parse structure

Map sections: Intro, Method (+ sub), Experiments, Analysis. Note missing sections.

Done when: section list exists and each is marked present / absent / partial.

Step 2: Mark figure-worthy content

| content | figure type | priority | |---------|-------------|----------| | end-to-end pipeline | Overall Framework | must | | network / layer structure | Network Architecture | must | | novel module / mechanism | Module Detail | must | | method variants / baselines | Comparison / Ablation | strong | | representation / attention behavior | Data Behavior | strong / medium | | dense math or loss | Module Detail | strong | | curves / t-SNE / heatmaps | Data Behavior | medium |

Done when: every must-level contribution has at least one figure entry or an explicit “insufficient evidence” note.

Step 3: Count and prioritize

| paper class | typical count | |-------------|---------------| | top-conference long | 6–8 | | short / workshop | 4–5 | | journal | 8–12 | | arXiv tech report | 5–7 flexible |

Done when: total count + must/strong/nice table is filled.

Step 4: Emit Figure Plan report

Include per-section: type × count, why, must-appear visual elements, aspect ratio hint.

| type | aspect | core elements | |------|--------|---------------| | Overall Framework | 16:9 | input → stages → output; innovation callouts | | Network Architecture | 16:9 / 3:2 | layers, dims, residuals | | Module Detail | 4:3 | central mechanism, ops (⊗ ⊕ σ), sparse formula | | Comparison / Ablation | 16:9 | N×M grid, ours highlighted | | Data Behavior | 4:3 / 1:1 | multi-panel heatmaps / curves / embeddings |

Done when: report matches Output Contract and completeness block is honest.

Domain packs (optional cues)

• CV: framework + arch + module + visual comparison + attention maps
• NLP: framework + transformer arch + attention module + metrics + embeddings
• RL/Robotics: state→policy→action loop + networks + trajectories
• Medical: imaging pipeline + U-Net/ViT + qualitative grid + ROC/features

Sparse-input cases

| materials | plan style | |-----------|------------| | title + abstract only | high-level types only; no fake submodules | | method without experiments | plan method figures; results as placeholders | | partial sections | local plan; separate covered vs uncovered | | only repo understanding doc | system-centric draft; flag narrative review needed |

Stop

Stop when the Figure Plan for available materials is delivered. Do not generate prompts unless the user asks.

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

• Author: Azhi-ss
• Source: Azhi-ss/academic-figure-skills
• License: MIT
• Homepage: https://www.skills.sh/azhi-ss/academic-figure-skills

Install and usage instructions live in the source repository linked above.