Agent skill

Academic Figure

by joshua-zyy in joshua-zyy/academic-paper-writer

Create, revise, or audit academic data/result figures for CS/AI/ML papers.

MITAuto-check passedData & Analytics

Install Academic Figure

skills CLI
$ npx skills add joshua-zyy/academic-paper-writer --skill academic-figure -a claude-code

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

GitHub CLI
$ gh skill install joshua-zyy/academic-paper-writer academic-figure --agent claude-code

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

Manual copy
$ git clone --depth 1 https://github.com/joshua-zyy/academic-paper-writer.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/academic-figure .claude/skills/academic-figure && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

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

Facts

Skill name
academic-figure
GitHub stars
115
Token cost
~816 tokens
SKILL.md length
274 words
Files
17 (incl. scripts, references)
Skills in repo
8
Repo updated
First seen
Licence
MIT

At a glance

Create, revise, or audit academic data/result figures for CS/AI/ML papers.

  • Works in 6 steps: Read manifest.yaml. It declares… → Read every file listed under… → Apply the loaded material as constraints → …
  • : generating plots from experiment results
  • SKILL.md covers Router Protocol, Modes, Agent Dispatch and Completion Criteria
  • Runs Python scripts from its folder

What it does

Academic Figure is an agent skill from joshua-zyy/academic-paper-writer. Create, revise, or audit academic data/result figures for CS/AI/ML papers. Data/result plots default to Python-generated editable SVG with CS/AI/ML-specific design rules for benchmarks, ablations, training dynamics, robustness, diagnostics, distributions, confusion matrices, and efficiency tradeoffs. Use when: generating plots from experiment results or numeric data, auditing publication figures, suggesting data-driven figure types, revising chart colors/layouts/labels, or preparing figure QA reports. Model…

Its SKILL.md is about 820 tokens, which your agent loads only when the skill is triggered. The skill folder holds 21 other files, including scripts and reference files (for example `agents/figure_agent.md`, `manifest.yaml` and `references/api.md`).

It sits in Data & Analytics, covering Data visualization, Diagrams and Scientific writing. It works with Python. The repository describes itself as: 面向 CS / AI / ML 领域的证据驱动、分节推进的论文写作 Agent Skill。 The licence is MIT.

When your agent uses it

  • : generating plots from experiment results
  • Auditing publication figures
  • Suggesting data-driven figure types
  • Revising chart colors/layouts/labels

Example prompts

  • “/academic-figure”

Requirements

  • Python 3

Workflow steps

6 steps, taken from the first numbered list in SKILL.md.

  1. Read manifest.yaml. It declares always_load files, axes, and references.on_demand.
  2. Read every file listed under always_load. These are the skill's binding rules — not reference material.
  3. Apply the loaded material as constraints
  4. Select exactly one mode from the manifest. If ambiguous, ask one concise clarification only when data source or target use is missing…
  5. Echo the selected mode to the user before executing.
  6. Reach for references/ only when the manifest's references.on_demand condition is satisfied.

What it can do on your machine

Read from SKILL.md and the folder at commit 6fceefd. 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 2 files in scripts/ (Python, from the files we listed), which the agent can run.

    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 Figure loads about 816 tokens when it runs, and up to ~11k if it reads all its reference files. Until then it costs about 239 tokens; SKILL.md has 274 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~239
When it runs · the whole SKILL.md, loaded when a task matches
~816
With references · SKILL.md plus every file in references/, read only if the agent opens them
~11k

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

The full file from joshua-zyy/academic-paper-writer at commit 6fceefd, republished under its MIT licence (© joshua-zyy). 274 words, ~816 tokens.

Download SKILL.mdSave it as .claude/skills/academic-figure/SKILL.md (or your agent's skills folder). This skill also uses 16 other files; get the full folder from GitHub.
name
academic-figure
description
Create, revise, or audit academic data/result figures for CS/AI/ML papers. Data/result plots default to Python-generated editable SVG with CS/AI/ML-specific design rules for benchmarks, ablations, training dynamics, robustness, diagnostics, distributions, confusion matrices, and efficiency tradeoffs. Use when: generating plots from experiment results or numeric data, auditing publication figures, suggesting data-driven figure types, revising chart colors/layouts/labels, or preparing figure QA reports. Model framework diagrams, architecture diagrams, overview diagrams, and complex mechanism schematics are outside this skill's automatic drawing scope; provide only manual figure requirements or caption/blueprint notes when needed. Triggers on: 绘图, figure, chart, 画图, 实验图, 训练曲线, 消融实验, 对比图, 混淆矩阵, 结果图, 性能图, 鲁棒性图, 效率图, plot, publication figure, 数据可视化, generate plot, figure blueprint, 建议图表类型, figure audit, 审查图表, figure revision, 修改图表.

Academic Figure

CS/AI/ML academic-figure router. 实验数据图默认交付 Python/matplotlib 可编辑 SVG,并执行 CS/AI/ML 图表设计 gate。模型框架图、架构图、overview 图和复杂机制图不属于本 skill 的自动绘制范围;如论文需要此类图,只能输出人工绘制需求、证据清单、caption 草案或 figure blueprint notes。

Router Protocol

  1. Read manifest.yaml. It declares always_load files, axes, and references.on_demand.
  2. Read every file listed under always_load. These are the skill's binding rules — not reference material.
  3. Apply the loaded material as constraints:
    • stance.md defines Python-only plotting, figure contract, visual policy, and scope.
    • red-lines.md defines absolute prohibitions. Do not negotiate these.
    • output-contract.md defines deliverables per mode.
    • anti-patterns.md defines known failure modes and their correct alternatives.
  4. Select exactly one mode from the manifest. If ambiguous, ask one concise clarification only when data source or target use is missing. Requests for model framework, architecture, overview, or mechanism diagrams use figure-blueprint only to produce manual_figure_needed notes; never render images, SVG, or prompts.
  5. Echo the selected mode to the user before executing.
  6. Reach for references/ only when the manifest's references.on_demand condition is satisfied.

Modes

ModeUse when
chart-from-dataData files or numeric results, needs publication plot with CS/AI/ML chart design gate
figure-blueprintWants figure suggestions for a paper section
figure-auditExisting figure reviewed for publication readiness
figure-revisionExisting figure needs revision

Agent Dispatch

agents/figure_agent.md is dispatched by the orchestrator at Step 6.4. The agent returns figure artifacts, scripts, SVG paths, and reports; it must not independently edit project source code or experimental data.

Completion Criteria

  • chart-from-data: Figure Contract, CS/AI/ML chart design gate, Python script, source data, editable SVG, QA report — all pass.
  • figure-audit: Every QA item has pass/fail status and concrete remediation.
  • figure-blueprint: Every suggested figure maps to a paper claim and data/evidence source.
  • figure-revision: Revised artifact or instructions, QA report, unchanged evidence traceability.

© joshua-zyy, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 16 other files (scripts, references) in skills/academic-figure of joshua-zyy/academic-paper-writer.

  • SKILL.md
  • agents/figure_agent.md
  • manifest.yaml
  • references/api.md
  • references/chart-types.md
  • references/cs-ai-chart-design-patterns.md
  • references/design-theory.md
  • references/figure-contract.md
  • references/qa-contract.md
  • references/tutorials.md
  • references/workflow-chart-from-data.md
  • scripts/chart_template.py
  • scripts/qa_figure.py
  • static/core/anti-patterns.md
  • static/core/output-contract.md
  • static/core/red-lines.md
  • … and 1 more

Open the folder on GitHubat commit 6fceefd

Compare with similar skills

Academic Figure 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 Figure compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Academic Figure this skilljoshua-zyy/academic-paper-writer115—~816Automated safety check: PassMIT
Scientific Schematicsjimmc414/Kosmos595—~16kAutomated safety check: NotesNone
Microsim Generatordmccreary/ibook-skills105—~11kAutomated safety check: PassNone
Scientific Figure MakingChenLiu-1996/figures4papers8.3k—~557Automated safety check: PassCustom licence
Visualizebrycewang-stanford/Auto-Empirical-Research-Skills4.6k—~1.4kAutomated safety check: PassCustom licence
Bio Data Visualization Circos PlotsGPTomics/bioSkills1.2k2 repos~3.4kAutomated safety check: PassMIT

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  • Academic Paper Writer

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  • Academic Polishing

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Works with

Questions about Academic Figure

What does Academic Figure do?

Create, revise, or audit academic data/result figures for CS/AI/ML papers. Academic Figure is an agent skill from joshua-zyy/academic-paper-writer. Create, revise, or audit academic data/result figures for CS/AI/ML papers.

When should I use Academic Figure?

Academic Figure fits situations like: : generating plots from experiment results; auditing publication figures; suggesting data-driven figure types; revising chart colors/layouts/labels.

How do I install Academic Figure in Claude Code?

Run `npx skills add joshua-zyy/academic-paper-writer --skill academic-figure -a claude-code`. Or copy the skill folder (skills/academic-figure in joshua-zyy/academic-paper-writer) into .claude/skills/academic-figure in your project. Claude Code loads it when a task matches its description.

How do I install Academic Figure in Codex?

Run `npx skills add joshua-zyy/academic-paper-writer --skill academic-figure -a codex`. Or copy the skill folder (skills/academic-figure in joshua-zyy/academic-paper-writer) into .agents/skills/academic-figure in your project. Codex loads it when a task matches its description.

Can I use Academic Figure 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 joshua-zyy/academic-paper-writer --skill academic-figure -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-figure, .gemini/skills/academic-figure, .github/skills/academic-figure and .opencode/skills/academic-figure in your project.

What does Academic Figure need to run?

Going by SKILL.md and its folder, Academic Figure needs Python for the scripts in its folder. Our summary lists: Python 3.

Does Academic Figure 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 Figure 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 Figure use?

Academic Figure is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Academic Figure use?

About 816 tokens (SKILL.md is roughly 3.3k 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 9.8k tokens, read only when the agent opens those files.

What are the alternatives to Academic Figure?

Skills that share tags, products or a category with Academic Figure: Scientific Schematics (jimmc414/Kosmos, 595 stars), Microsim Generator (dmccreary/ibook-skills, 105 stars), Scientific Figure Making (ChenLiu-1996/figures4papers, 8.3k stars) and Visualize (brycewang-stanford/Auto-Empirical-Research-Skills, 4.6k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Academic Figure?

joshua-zyy (a GitHub user) maintains it in joshua-zyy/academic-paper-writer, which has 115 GitHub stars. The repository holds 8 skills in this directory. The repository was last updated on October 5, 2026.

Source: joshua-zyy/academic-paper-writer on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.