academic-figure-workflow

Solid

Plan, generate, inspect, and refine academic figures from repositories, papers, draft notes, paper URLs, PDFs, or reference images. Supports fast-track draft-to-figure generation and user passthrough mode.

AI & Automation 101 stars 10 forks Updated 1 weeks ago MIT

Install

View on GitHub

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 Figure Workflow Produce a grounded academic figure and a stable local artifact. Preserve the user's chosen backend, reference assets, style direction, review preference, and output scope. Load only what the current stage needs: - missing evidence → `references/missing-info-policy.md` - palette/style fallback → `references/palettes.md` and, when installed, `references/styles/` - Codex native image execution → `references/codex-image-workflow.md` - render inspection → `references/render-audit.md` when present ## Route inputs by inspected content A URL is not automatically a repository. Inspect it first. | Input | Route | Execution Behavior | |---|---|---| | **Direct User Architecture (Passthrough)** | `../academic-figure-designer/SKILL.md` | **Skip analyzers**. User gave explicit nodes/flow; compile FigureSpec v1 and render directly. | | **Draft Notes / Outline / Partial Draft** | `../academic-figure-draft-analyzer/SKILL.md` | **Draft-to-Figure Fast-Track**. For rough notes, outlines, or sections without full results: focus on Figure 1 framework. | | **Complete Manuscript (Markdown / LaTeX / PDF / URL)** | `../academic-figure-draft-analyzer/SKILL.md` | **Full Planning**. For complete papers with experiments/results: multi-figure strategy, claim verification, and constraints. | | **Repository path or repository URL** | `../academic-repo-analyzer/SKILL.md` | Extract semantic architecture graph; omit engineering plumbing (data loaders, trainers). | | **Paper plus ...

Details

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

Similar Skills

Semantically similar based on skill content — not just same category