academic-figure-draft-analyzer

Solid

Plan evidence-backed figures for a paper draft, markdown notes, outline, manuscript, PDF, or paper webpage. Supports Draft-to-Figure fast-track for Markdown notes as well as comprehensive multi-figure planning for full manuscripts.

Data & Documents 101 stars 10 forks Updated 1 weeks ago MIT

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Quality Score: 86/100

Stars 20%
67
Recency 20%
90
Frontmatter 20%
70
Documentation 15%
100
Issue Health 10%
80
License 10%
100
Description 5%
100

Skill Content

# Academic Draft and Paper Analyzer (Figure Planner) Produce a human-readable figure strategy and a machine-readable **Figure Plan v1**. Plan figures around the paper's claims and reader questions, not around a fixed count or a generic pipeline template. Read `references/missing-info-policy.md` when the paper is incomplete. If a repository handoff or extracted reference-style profile exists, carry it forward without renaming fields. ## Dual-Track Planning Workflow The analyzer operates in one of two modes depending on the input: 1. **Draft-to-Figure Fast-Track (草稿敏捷直出)**: - **Trigger**: Input is notes, an outline, or an early draft (Markdown, text, or draft sections) without complete experimental/analysis results. - **Target**: Focus exclusively on **Figure 1: Overall Framework / Methodology Overview**. - **Policy**: Do NOT force a multi-figure plan (ablation/data behavior). Do NOT warn about missing experimental/analysis sections. 2. **Camera-Ready Multi-Figure Plan (完整定稿多图规划)**: - **Trigger**: Input is a complete manuscript with experimental results (Markdown, LaTeX, PDF, or full text). - **Target**: Systematically plan the multi-figure suite with claim verification and publication constraints. ## Input contract - Prefer: manuscript text or source, abstract, method, experiments, target venue/page limit, semantic architecture handoff, and any reference figures. - Accept: Markdown (`.md`) draft or notes, outline, title plus abstract, local PDF, paper URL...

Details

Author
Azhi-ss
Repository
Azhi-ss/academic-figure-skills
Created
5 months ago
Last Updated
1 weeks ago
Language
Python
License
MIT

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