# Academic Paper Analyzer & Figure Planner

> Figure plan for academic papers — section-to-figure mapping, types, counts, and priority. Use when the user wants paper figure planning, 论文配图规划, or which figures a paper needs.

- **Type:** Skill
- **Install:** `agentstack add skill-azhi-ss-academic-figure-skills-academic-figure-paper-analyzer`
- **Verified:** Yes — security-reviewed for prompt injection and unsafe behavior
- **Seller:** [Azhi-ss](https://agentstack.voostack.com/s/azhi-ss)
- **Installs:** 0
- **Category:** [Agent Skills](https://agentstack.voostack.com/c/agent-skills)
- **Latest version:** 0.1.0
- **License:** MIT
- **Upstream author:** [Azhi-ss](https://github.com/Azhi-ss)
- **Source:** https://github.com/Azhi-ss/academic-figure-skills/tree/main/academic-figure-paper-analyzer
- **Website:** https://www.skills.sh/azhi-ss/academic-figure-skills

## Install

```sh
agentstack add skill-azhi-ss-academic-figure-skills-academic-figure-paper-analyzer
```

Requires the [AgentStack CLI](https://agentstack.voostack.com/docs/cli). Works with Claude Code, Cursor, and any MCP-compatible agent.

## About

# 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](https://github.com/Azhi-ss)
- **Source:** [Azhi-ss/academic-figure-skills](https://github.com/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.

## Pricing

- **Free** — Free

## Security capabilities

Automated source analysis of v0.1.0 — what this tool can access:

- **Network access:** no
- **Filesystem access:** no
- **Shell / process execution:** no
- **Environment & secrets:** no
- **Dynamic code execution:** no

*"Yes" means the capability is present in the source — more access means more to trust, not that it is unsafe.*


## Versions

- **0.1.0** — security scan: passed — Imported from the upstream source.

## Links

- Listing page: https://agentstack.voostack.com/l/skill-azhi-ss-academic-figure-skills-academic-figure-paper-analyzer
- Seller: https://agentstack.voostack.com/s/azhi-ss
- Browse the marketplace: https://agentstack.voostack.com/browse

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