Diagram Design
cathrynlavery/diagram-design
Creates branded diagrams, from architecture, flowchart and sequence to charts and maps, as self-contained HTML with inline SVG, with import from draw.io, Mermaid and Excalidraw.
Generate deterministic publication-quality architecture, workflow, and pipeline diagrams from structured JSON (FigureSpec) into editable SVG.
Install Figure Spec
$ npx skills add AI4Scientist/nano-scientist --skill figure-spec -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install AI4Scientist/nano-scientist figure-spec --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/AI4Scientist/nano-scientist.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/figure-spec .claude/skills/figure-spec && rm -rf skills-srcUse ~/.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/
Install the "figure-spec" agent skill from https://github.com/AI4Scientist/nano-scientist/tree/main/skills/figure-spec into .claude/skills/figure-spec/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "figure-spec", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/AI4Scientist/nano-scientist/tree/main/skills/figure-specType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add AI4Scientist/nano-scientist --skill figure-spec -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install AI4Scientist/nano-scientist figure-spec --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/AI4Scientist/nano-scientist.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/figure-spec .agents/skills/figure-spec && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "figure-spec" agent skill from https://github.com/AI4Scientist/nano-scientist/tree/main/skills/figure-spec into .agents/skills/figure-spec/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "figure-spec", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add AI4Scientist/nano-scientist --skill figure-spec -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install AI4Scientist/nano-scientist figure-spec --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/AI4Scientist/nano-scientist.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/figure-spec .cursor/skills/figure-spec && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "figure-spec" agent skill from https://github.com/AI4Scientist/nano-scientist/tree/main/skills/figure-spec into .cursor/skills/figure-spec/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "figure-spec", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/AI4Scientist/nano-scientist.git --path skills/figure-spec--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add AI4Scientist/nano-scientist --skill figure-spec -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install AI4Scientist/nano-scientist figure-spec --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/AI4Scientist/nano-scientist.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/figure-spec .gemini/skills/figure-spec && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "figure-spec" agent skill from https://github.com/AI4Scientist/nano-scientist/tree/main/skills/figure-spec into .gemini/skills/figure-spec/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "figure-spec", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install AI4Scientist/nano-scientist figure-specInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add AI4Scientist/nano-scientist --skill figure-spec -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/AI4Scientist/nano-scientist.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/figure-spec .github/skills/figure-spec && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "figure-spec" agent skill from https://github.com/AI4Scientist/nano-scientist/tree/main/skills/figure-spec into .github/skills/figure-spec/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "figure-spec", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add AI4Scientist/nano-scientist --skill figure-spec -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install AI4Scientist/nano-scientist figure-spec --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/AI4Scientist/nano-scientist.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/figure-spec .opencode/skills/figure-spec && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "figure-spec" agent skill from https://github.com/AI4Scientist/nano-scientist/tree/main/skills/figure-spec into .opencode/skills/figure-spec/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "figure-spec", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
figure-spec- GitHub stars
- 128
- Used in
- 2 other repos
- Token cost
- ~2.1k tokens
- SKILL.md length
- 728 words
- Files
- 1
- Skills in repo
- 74
- Repo updated
- First seen
- Licence
- None found
At a glance
Generate deterministic publication-quality architecture, workflow, and pipeline diagrams from structured JSON (FigureSpec) into editable SVG.
- Works in 5 steps: Understand the Diagram Goal → Draft the FigureSpec JSON → Render and Validate → …
- Draw architecture
- SKILL.md covers When to Use This Skill, Core Properties, Tool Location and Workflow, plus 6 more sections
- Calls python3
What it does
Figure Spec is an agent skill from AI4Scientist/nano-scientist. Generate deterministic publication-quality architecture, workflow, and pipeline diagrams from structured JSON (FigureSpec) into editable SVG. Use when user says "架构图", "workflow 图", "pipeline 图", "确定性矢量图", "figure spec", "draw architecture", or needs precise, editable, publication-ready vector diagrams. Preferred over AI illustration for formal architecture/workflow figures.
Its SKILL.md is about 2.1k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It sits in Development, covering Diagrams and Data visualization. The repository describes itself as: An autonomous research agent that turns a topic into a peer-reviewed technical report.
When your agent uses it
- Draw architecture
- Publication-ready vector diagrams
Example prompts
- “workflow 图”
- “pipeline 图”
- “确定性矢量图”
- “/figure-spec”
Requirements
- Python 3
- Pre-approved tools (allowed-tools): Bash(*), Read, Write, Edit
Workflow steps
5 steps, taken from the step headings in SKILL.md.
- Understand the Diagram Goal
- Draft the FigureSpec JSON
- Render and Validate
- Visual Review
- Iterate with Codex Review (Optional, for High-Stakes Figures)
What it can do on your machine
Read from SKILL.md and the folder at commit 7132192. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves these tools, so the agent can use them without asking each time:
Bash(*)ReadWriteEdit
From allowed-tools in the SKILL.md frontmatter.
Runs code
Shell commands in SKILL.md call:
python3
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
Figure Spec loads about 2.1k tokens when it runs. Until then it costs about 97 tokens; SKILL.md has 728 words of instructions outside code blocks.
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: notes
The automated check noted patterns worth knowing about, such as sudo or a known installer.
- NotePre-approves every shell command (allowed-tools: Bash)SKILL.md
allowed-tools: Bash(*), Read, Write, Edit
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); files beside SKILL.md are not scanned.
SKILL.md
Without a licence we can't republish the file, so here is its outline and opening line. It has 728 words (~2,145 tokens).
“Generate publication-quality architecture diagrams, workflow pipelines, audit cascades, and system topology figures as editable SVG vector graphics using a deterministic JSON → SVG renderer.”
- name
- figure-spec
- allowed-tools
- Bash(*), Read, Write, Edit
- argument-hint
- description-of-diagram
Files
Just SKILL.md in skills/figure-spec of AI4Scientist/nano-scientist.
Open the folder on GitHubat commit 7132192
Used in 2 other repositories
We found 7 copies of this SKILL.md (exact, near-identical or edited) in other folders, from 2 other GitHub owners. This page covers the copy in AI4Scientist/nano-scientist, which our catalogue first saw on October 7, 2026.
Compare with similar skills
Figure Spec 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.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Figure Spec this skillAI4Scientist/nano-scientist | 128 | 2 repos | ~2.1k | Automated safety check: Notes | None | |
| Diagram Designcathrynlavery/diagram-design | 47k | 1 repos | ~7.5k | Automated safety check: Pass | MIT | |
| Scientific Schematicsspacering-net/codeg | 3.9k | 11 repos | ~5.9k | Automated safety check: Notes | MIT | |
| Antv G2 Chartantvis/chart-visualization-skills | 506 | — | ~2.5k | Automated safety check: Pass | MIT | |
| Opencharttryopendata/skills | 142 | — | ~11k | Automated safety check: Pass | MIT | |
| Fireworks Tech GraphCitrus-bit/Anaxa | 120 | — | ~5.4k | Automated safety check: Pass | MIT |
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Categories
Questions about Figure Spec
What does Figure Spec do?
Generate deterministic publication-quality architecture, workflow, and pipeline diagrams from structured JSON (FigureSpec) into editable SVG. Figure Spec is an agent skill from AI4Scientist/nano-scientist. Generate deterministic publication-quality architecture, workflow, and pipeline diagrams from structured JSON (FigureSpec) into editable SVG.
When should I use Figure Spec?
Figure Spec fits situations like: draw architecture; publication-ready vector diagrams.
How do I install Figure Spec in Claude Code?
Run `npx skills add AI4Scientist/nano-scientist --skill figure-spec -a claude-code`. Or copy the skill folder (skills/figure-spec in AI4Scientist/nano-scientist) into .claude/skills/figure-spec in your project. Claude Code loads it when a task matches its description.
How do I install Figure Spec in Codex?
Run `npx skills add AI4Scientist/nano-scientist --skill figure-spec -a codex`. Or copy the skill folder (skills/figure-spec in AI4Scientist/nano-scientist) into .agents/skills/figure-spec in your project. Codex loads it when a task matches its description.
Can I use Figure Spec 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 AI4Scientist/nano-scientist --skill figure-spec -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/figure-spec, .gemini/skills/figure-spec, .github/skills/figure-spec and .opencode/skills/figure-spec in your project.
What does Figure Spec need to run?
Going by SKILL.md and its folder, Figure Spec needs the command-line tools its instructions call (python3). Our summary lists: Python 3. Its frontmatter pre-approves these tools: Bash(*), Read, Write, Edit.
Does Figure Spec 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 Figure Spec safe to install?
Our automated static check of SKILL.md found notes only (pre-approves every shell command (allowed-tools: bash)), nothing it rates as a warning. It is not a guarantee. Review the folder before installing.
What licence does Figure Spec use?
No licence was found for Figure Spec or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.
How many tokens does Figure Spec use?
About 2.1k tokens (SKILL.md is roughly 8.6k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
What are the alternatives to Figure Spec?
Skills that share tags, products or a category with Figure Spec: Diagram Design (cathrynlavery/diagram-design, 47k stars), Scientific Schematics (spacering-net/codeg, 3.9k stars), Antv G2 Chart (antvis/chart-visualization-skills, 506 stars) and Openchart (tryopendata/skills, 142 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Figure Spec?
AI4Scientist (a GitHub organization) maintains it in AI4Scientist/nano-scientist, which has 128 GitHub stars. The repository holds 74 skills in this directory. The repository was last updated on June 3, 2026.
Source: AI4Scientist/nano-scientist on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.