anatomy
Skill32 starsChanged 6 months agoMITView on GitHub
Build carefully crafted, interactive isometric SVG figures that explain a technical idea as a real physical object — a machine whose moving parts are the concept — framed in a card with a title, hint and live readout. Use for isometric illustrations, explanatory figures for docs or blog posts, and interactive explainers of how a system, algorithm or component works. Optionally adds WebGL shaders, true 3D, or a printable A4 PDF.
18 other projects use a version of this.
Adopted by
Most recently taken up by
- VisualxIntelligence/motion-tools-and-skillstheir own version, first seen Nov 8, 2026
- tejastn10/workbenchtheir own version, first seen Nov 1, 2026
- Charlyhno-eng/jev-codex-pilottheir own version, first seen Nov 1, 2026
- getedgehq/skillstheir own version, first seen Nov 1, 2026
- rfdiosuao/AgentSkilltheir own version, first seen Nov 1, 2026
- erafat/skillstheir own version, first seen Nov 1, 2026
Used with
Projects with it also use autoresearch.
Other files people use alongside this one.
Files found in the same public projects as a version of this one, more often than they turn up anywhere else. Each project counts once, large collections count for less, and this file's own repository is left out.
GitHubSkillautoresearch
Autonomous iterative experimentation loop for any programming task. Guides the user through defining goals, measurable metrics, and scope constraints, then runs an autonomous loop of code changes, testing, measuring, and keeping/discarding results. Inspired by Karpathy''s autoresearch. USE FOR: autonomous improvement, iterative optimization, experiment loop, auto research, performance tuning, automated experimentation, hill climbing, try things automatically, optimize code, run experiments, autonomous coding loop. DO NOT USE FOR: one-shot tasks, simple bug fixes, code review, or tasks without a measurable metric.
Also in 3 projects that use this
Other versions18 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 18
- wheresryan22/anatomy★ 20ksame name
- aaronjmars/aeon★ 789same name
- aeonfun/aeon★ 789same name
- nirholas/three.ws★ 271same name
- anneheartrecord/charles-video-maker★ 80same name
- felvieira/claude-skills-fv★ 27same name
- muzimu217/ui-design-agent-kit★ 23same name
- erafat/skills★ 17same name
- rfdiosuao/AgentSkill★ 15same name
- daftAI2026/awesome-jev★ 13same name
8 more not listed
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
In this repository170 other files it gives its agents.
- CLAUDE.mdCLAUDE.md
- accessibility-agentsSkill
- accessibility-catalogueSkill
- addyosmani-qualitySkill
- ai-graphic-design-skillSkill
- algorithmic-artSkill
- animate-css-skillSkill
- animate-skillSkill
- anthropics-skillsSkill
- antvis-chart-skillsSkill
- apple-hig-skillsSkill
- assimovt-productskillsSkill
- awesome-design-skillsSkill
- baseline-uiSkill
- bencium-ux-designerSkill
- brand-design-mdSkill
- building-componentsSkill
- callstack-agent-skillsSkill
- cc-slidevSkill
- chadboyda-gtmSkill
- claud3Skill
- claude2figmaSkill
- claudedesignskillsSkill
- claude-pm-skillsSkill
- claude-wireframe-skillSkill
- cloudai-threejsSkill
- cloudflare-web-perfSkill
- color-expertSkill
- composio-artifactsSkill
- content-catalogueSkill
- content-strategySkill
- copywriting-skillSkill
- coreyhaines-marketingSkill
- creative-directorSkill
- css-animation-skillSkill
- d3js-skillSkill
- dark-pattern-auditSkill
- data-analysis-skillSkill
- data-viz-agentSkill
- deanpeters-pm-skillsSkill
- design-auditorSkill
- design-briefSkill
- design-catalogueSkill
- design-consultationSkill
- design-debt-auditSkill
- design-engineering-catalogueSkill
- designer-skillsSkill
- design-for-aiSkill
- design-htmlSkill
- design-impact-reportingSkill
- design-labSkill
- design-motion-principlesSkill
- design-negotiationSkill
- design-review-garrytanSkill
- design-sprintSkill
- design-system-governanceSkill
- design-tokens-skillSkill
- design-with-claudeSkill
- digidai-pmSkill
- dimensional-drawingSkill
- The first 60 shown.
The file
Files
anatomy
Catalogue stub — full skill: wheresryan22/anatomy
<!-- das:install:start — generated from stub.yaml by `npm run generate`; edit stub.yaml, not this block -->Decision tree
- Is the full skill already installed?
- Global:
f=~/.agents/skills/anatomy/SKILL.md; [ -f "$f" ] && ! grep -q "^das:" "$f" && echo "installed" || echo "pointer" - Project:
f=.agents/skills/anatomy/SKILL.md; [ -f "$f" ] && ! grep -q "^das:" "$f" && echo "installed" || echo "pointer" installed→ the skill is installed asanatomy, invoke it and proceedpointer→ go to step 2
- Global:
Detect scope, then install:
[ -e ~/.agents/skills/anatomy ] && echo "global" || echo "project"Global:
npx skills add wheresryan22/anatomy --skill anatomy -g -yProject:
npx skills add wheresryan22/anatomy --skill anatomy -yClaude Code: send a command as a chat message starting with
!to run it without leaving the conversation.
Heads-up
- License: MIT
<!-- das:install:end -->Invoke after install
- Skill name:
anatomy - Trigger phrases: "isometric illustration", "anatomy figure", "interactive explainer"
What it does
Invents and draws a real object whose mechanism is the idea being explained, instead of boxes and arrows. One line of prompt ("explain how an LRU cache evicts entries, interactive") yields a self-contained interactive figure: dozens to hundreds of solid parts, one isometric camera looking down at 30°, four-tone shading, painter's order solved per frame, one lit accent part, and a live readout whose numbers come from the same small model that drives the motion.
Work happens in a fixed order — size the figure (Figure / Hero / Epic), collect the real numbers into a model, invent the object, list 40+ parts, plan the world, build geometry once, paint back to front, frame it, make it live, then audit it with screenshots at 4×. Output is framework-free TypeScript that writes SVG and HTML, React/Next.js components, or a printable A4 PDF (poster, drawing, handout). Opt-in keywords in the prompt add WebGL shaders (WebGL) or true 3D (3D), and it respects prefers-reduced-motion with keyboard and pointer interaction.
Six worked examples ship with it, from a ~300-line dial gauge up to a full turbofan engine, and the agent opens the closest one before starting. Expect 30–90 minutes for a normal figure; a Hero is 2–4 hours.
When NOT to use
- Structural or flow diagrams where the boxes-and-arrows abstraction is the point (use
excalidraw-diagram, orhand-drawn-diagramsfor a rough sketch look) - Anything that has to come back in seconds: this skill optimises for detail over speed and will not trade parts for turnaround
- Abstract data charts and infographics (use
antvis-chart-skills), or 3D scenes that are art rather than explanation (usethreejs-claude-skill-packageorshader-dev)
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
No reviews yet
People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
- Partly
- It didn't
Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

