Agent skill

Academic Figures Drawer

by M1n-n9 in M1n-n9/academic-figures-drawer

Create camera-ready, editable draw.io figures from papers, method descriptions, code, or reference images.

No licenceAuto-check passedMedia & Creative

Install Academic Figures Drawer

skills CLI
$ npx skills add M1n-n9/academic-figures-drawer --skill academic-figures-drawer -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install M1n-n9/academic-figures-drawer academic-figures-drawer --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
academic-figures-drawer
GitHub stars
218
Token cost
~3.3k tokens
SKILL.md length
1,567 words
Files
34 (incl. scripts, references)
Skills in repo
1
Repo updated
First seen
Licence
None found

At a glance

Create camera-ready, editable draw.io figures from papers, method descriptions, code, or reference images.

  • Works in 7 steps: Intake and semantic brief → Style contract before drawing → Optional image-2 concept pass → …
  • Similar ML/AI research figures: concise framework overviews
  • SKILL.md covers Operating contract, Fast decision tree, End-to-end workflow and Input-specific notes, plus 1 more section
  • Calls python

What it does

Academic Figures Drawer is an agent skill from M1n-n9/academic-figures-drawer. Create camera-ready, editable draw.io figures from papers, method descriptions, code, or reference images. Use for ICML, NeurIPS/NIPS, ICLR, and similar ML/AI research figures: concise framework overviews, module-detail diagrams, tensor and attention flows, ablations, training/inference pipelines, and downstream-task panels. Optionally use image generation for a non-semantic visual concept or input/context asset, then translate the approved semantics into vector draw.io XML with preview, static validation, and…

Its SKILL.md is about 3.3k tokens, which your agent loads only when the skill is triggered. The skill folder holds 36 other files, including scripts and reference files (for example `README.md`, `agents/openai.yaml` and `data/SHAPE-INDEX-NOTICE.md`).

It sits in Media & Creative, covering Diagrams and Image generation. It works with draw.io. The repository describes itself as: Create camera-ready, editable academic figures from papers and method descriptions.

When your agent uses it

  • Similar ML/AI research figures: concise framework overviews
  • Module-detail diagrams
  • Tensor and attention flows
  • Training/inference pipelines

Example prompts

  • “/academic-figures-drawer”

Requirements

  • Python 3

Workflow steps

7 steps, taken from the step headings in SKILL.md.

  1. Intake and semantic brief
  2. Style contract before drawing
  3. Optional image-2 concept pass
  4. Plan the composition
  5. Author editable XML
  6. Preflight and visual verification
  7. Final export and handoff

What it can do on your machine

Read from SKILL.md and the folder at commit b2661ea. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Ships 1 file in scripts/, which the agent can run.

    Shell commands in SKILL.md call:

    • python

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Academic Figures Drawer loads about 3.3k tokens when it runs, and up to ~37k if it reads all its reference files. Until then it costs about 142 tokens; SKILL.md has 1,567 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~142
When it runs · the whole SKILL.md, loaded when a task matches
~3.3k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~37k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.

SKILL.md

Without a licence we can't republish the file, so here is its outline and opening line. It has 1,567 words (~3,327 tokens).

“Turn a paper or description into a figure that is easy to decode at two-column size. The editable .drawio XML is the source of truth; PNG/SVG/PDF are derived exports. Optimize for visual hierarchy and semantic clarity, not for enumerating every…”

— opening of SKILL.md by M1n-n9
name
academic-figures-drawer

Read the full SKILL.md on GitHub

Files

SKILL.md and 33 other files (scripts, references) in the repository root of M1n-n9/academic-figures-drawer.

  • SKILL.md
  • README.md
  • agents/openai.yaml
  • data/SHAPE-INDEX-NOTICE.md
  • data/lobe-icons.json
  • data/shape-index.json.gz
  • references/THIRD_PARTY_NOTICES.md
  • references/diagram-types.md
  • references/drawio-workflow.md
  • references/figure-contract.md
  • references/general-quality-contract.md
  • references/primitive-icons.md
  • references/reference-replication-protocol.md
  • references/self-supervision-and-intake.md
  • references/shapes.md
  • references/style-extraction.md
  • references/topconf-paper-style.md
  • references/troubleshooting.md
  • … and 16 more

Open the folder on GitHubat commit b2661ea

Compare with similar skills

Academic Figures Drawer next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Academic Figures Drawer compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Academic Figures Drawer this skillM1n-n9/academic-figures-drawer218—~3.3kAutomated safety check: PassNone
Nsfc RoadmapInternScience/DrClaw172—~2.5kAutomated safety check: NotesNone
Nsfc SchematicInternScience/DrClaw172—~3.7kAutomated safety check: NotesNone
SVG Technical Infographic Authormodu-ai/moai-adk1.2k—~5.2kAutomated safety check: NotesApache-2.0
Sf Diagram NanobananaproJaganpro/sf-skills424—~1.6kAutomated safety check: PassMIT
Gpt Image 2 Handdrawn Diagramdracohu2025-cloud/draco-skills-collection227—~1.2kAutomated safety check: PassMIT

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Works with

Questions about Academic Figures Drawer

What does Academic Figures Drawer do?

Create camera-ready, editable draw.io figures from papers, method descriptions, code, or reference images. Academic Figures Drawer is an agent skill from M1n-n9/academic-figures-drawer.io figures from papers, method descriptions, code, or reference images.

When should I use Academic Figures Drawer?

Academic Figures Drawer fits situations like: similar ML/AI research figures: concise framework overviews; module-detail diagrams; tensor and attention flows; training/inference pipelines.

How do I install Academic Figures Drawer in Claude Code?

Run `npx skills add M1n-n9/academic-figures-drawer --skill academic-figures-drawer -a claude-code`. Or copy the skill folder (the M1n-n9/academic-figures-drawer repository) into .claude/skills/academic-figures-drawer in your project. Claude Code loads it when a task matches its description.

How do I install Academic Figures Drawer in Codex?

Run `npx skills add M1n-n9/academic-figures-drawer --skill academic-figures-drawer -a codex`. Or copy the skill folder (the M1n-n9/academic-figures-drawer repository) into .agents/skills/academic-figures-drawer in your project. Codex loads it when a task matches its description.

Can I use Academic Figures Drawer in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add M1n-n9/academic-figures-drawer --skill academic-figures-drawer -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/academic-figures-drawer, .gemini/skills/academic-figures-drawer, .github/skills/academic-figures-drawer and .opencode/skills/academic-figures-drawer in your project.

What does Academic Figures Drawer need to run?

Going by SKILL.md and its folder, Academic Figures Drawer needs the command-line tools its instructions call (python). Our summary lists: Python 3.

Does Academic Figures Drawer access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Academic Figures Drawer safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.

What licence does Academic Figures Drawer use?

No licence was found for Academic Figures Drawer or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.

How many tokens does Academic Figures Drawer use?

About 3.3k tokens (SKILL.md is roughly 13k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 33k tokens, read only when the agent opens those files.

What are the alternatives to Academic Figures Drawer?

Skills that share tags, products or a category with Academic Figures Drawer: Nsfc Roadmap (InternScience/DrClaw, 172 stars), Nsfc Schematic (InternScience/DrClaw, 172 stars), SVG Technical Infographic Author (modu-ai/moai-adk, 1.2k stars) and Sf Diagram Nanobananapro (Jaganpro/sf-skills, 424 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Academic Figures Drawer?

M1n-n9 (a GitHub user) maintains it in M1n-n9/academic-figures-drawer, which has 218 GitHub stars. The repository was last updated on August 21, 2026.

Source: M1n-n9/academic-figures-drawer on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.