drawio
Skill657 starsChanged 31 days agoMITView on GitHub
Use when the user asks for any draw.io diagram — cloud architecture (AWS, Azure, GCP, Databricks, multi-cloud, hybrid/DR, landing zone, VPC/network, serverless, data pipeline) or a business process (BPMN, swimlane, workflow with roles). Builds with the drawio-ai layout engine using real stencils, validates, and runs a render self-check. Default output is a .drawio file; PNG/SVG only on request.
- Installs packages
25 other projects use a version of this.
Adopted by
Most recently taken up by
- h-wata/claude-skillstheir own version, first seen Nov 8, 2026
- shreeve1/Claude-Coworktheir own version, first seen Nov 1, 2026
- MakiDevelop/claude-skillstheir own version, first seen Nov 1, 2026
- jackzhaojin/ai-builder-kittheir own version, first seen Nov 1, 2026
- rysk-tanaka/skillstheir own version, first seen Oct 31, 2026
- github/awesome-copilottheir own version, first seen Oct 25, 2026
Used with
Projects with it also use excalidraw and handoff.
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.
lookfreeSkillexcalidraw
Generate architecture diagrams as .excalidraw files from codebase analysis. Use when the user asks to create architecture diagrams, system diagrams, visualize codebase structure, or generate excalidraw files.
Also in 3 projects that use this
MicrosoftSkillhandoff
Compact the current conversation into a handoff document for another agent to pick up.
Also in 4 projects that use this
Other versions25 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 25
- github/awesome-copilot★ 41ksame name
- Chanw-research/claude-code-paper-writing★ 42same name
- scarr05/claude-skills-pub★ 16same name
- soujava/agent-skills★ 10same name
- roeyw5/claude-code-guide★ 9same name
- akiojin/skills★ 8same name
- MakiDevelop/claude-skills★ 3same name
- norandom/Skills★ 3same name
- ikkeseb/skills★ 2same name
- jablonkai/skills★ 2same name
15 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.
The file
Show its rules and text
We split this skill into the rules it gives an agent
14 rules. 0 are common, 8 are distinctive, and 6 are very specific to this project.
0
Common
Most of the 19 edited versions we read keep these.
8
Distinctive
This author's own choices. Worth a look.
6
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 13
Follow the steps in order.
- Very specific: line 22
If it prints MISSING: stop.
- Very specific: line 28
Never run npm i -g yourself.
- Distinctive: line 42
Ask one short message with all missing questions together.
- Distinctive: line 44
If the user said "just do it" or the request is already clear, do not ask.
- Distinctive: line 50
Read exactly one row's files from this skill folder:
- Very specific: line 70
Follow workflows/build.md.
- Distinctive: line 78
Look at the PNG once. Fix what you see.
- Distinctive: line 85
Check every box before you answer:
- Very specific: line 98
Never write files into the kit folder (drawio-ai root).
- Distinctive: line 99
Never invent icon names or style strings.
- Distinctive: line 100
Never hand-write draw.io XML or x/y coordinates.
- Very specific: line 101
Never read the engine's source (dist/, src/).
- Very specific: line 102
Never import by file path.
“Common” is measured: kept by at least 6 in 10 of the 19 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
draw.io diagrams
You build the diagram by writing a small Node script that uses the drawio-ai engine.
The engine places every box and routes every arrow. You only declare what is inside what.
Follow the steps in order. Do not skip a step. Each step names the exact file to read — read only that file, nothing else in the kit.
Step 0 — Check the CLI
command -v drawio-ai >/dev/null 2>&1 && drawio-ai root || echo "MISSING"If it prints MISSING: stop. Tell the user to install it, then try again:
npm i -g drawio-ai-kitNever run npm i -g yourself.
Step 1 — Understand the request
You need these 4 facts. Take them from the user's message first.
| Fact | Example | If missing |
| Domain | AWS · Azure · GCP · Databricks · multi-cloud · BPMN | Ask. |
| What to draw | "3-tier web app in one VPC, 2 AZs" · "order approval process" | Ask. |
| Output path | ./docs/arch.drawio | Use <cwd>/<short-name>.drawio. Do not ask. The build script goes in the same folder. |
| Format | .drawio (default) · also .png | Use .drawio. Do not ask. |
Rules for asking:
- Ask one short message with all missing questions together. Offer choices, e.g. "Which cloud: AWS, Azure, or GCP?"
- If the user said "just do it" or the request is already clear, do not ask. Pick the common choice and tell the user what you assumed at the end.
- The source is a Terraform/Terramate repo? Follow
workflows/from-iac.mdbefore Step 2.
Step 2 — Pick the domain reference
Read exactly one row's files from this skill folder:
| Domain | Read | Template to start from (drawio-ai scaffold --list shows all) |
| AWS | references/aws-architecture.md | build_vpc.mjs, build_serverless.mjs, build_pipeline.mjs, build_landingzone.mjs |
| Azure | references/azure-architecture.md | build_azure_vnet.mjs, build_azure_hub_spoke_lz.mjs |
| GCP | references/gcp-architecture.md | build_gcp_vpc.mjs, build_gcp_shared_vpc_landing_zone.mjs |
| Databricks | references/databricks-architecture.md | build_lakehouse.mjs, build_data_platform.mjs |
| Multi-cloud / hybrid | the reference of each cloud involved | build_multicloud.mjs, build_hybrid.mjs |
| BPMN / swimlane | references/bpmn.md | build_bpmn.mjs |
Then also read:
references/api.md— the whole engine API on one page (every domain). Never open engine source code.references/principles.md— layout rules: dense grids, flow direction, no overlaps (cloud domains; skip for BPMN).
Optional, only if you are unsure which layout fits: references/diagram-types.md.
Colors and creators: references/style-guide.md.
Step 3 — Build, check, fix
Follow workflows/build.md. Short version:
drawio-ai search "a, b, c"— look up all icons in one call (comma or space separated, e.g."k8s pg es"). Use only names it returns.drawio-ai scaffold <template>.mjs -o <out-dir>/build.mjs --name <name>.drawio— copy the closest template.<out-dir>= the folder of the output path from Step 1; the.drawiolands there.- Edit the tree in
build.mjs. No x/y numbers. drawio-ai run <out-dir>/build.mjs— it builds, printsVALIDATE: {…}, and renders a PNG with anissueslist.- Fix all errors/warnings/advice/issues in one edit. Run again. Repeat until all are empty (max 5 runs).
- Look at the PNG once. Fix what you see. Done. (No draw.io desktop app → no PNG: skip this step.)
Can your harness run a subagent that has shell + image reading? You may hand Step 3
to it with workflows/delegate.md. Otherwise do Step 3 yourself.
Step 4 — Deliver
Check every box before you answer:
- Built with the layout engine (
group/frame/grid+icon/box+renderTree). No x/y numbers. - Every icon name came from
drawio-ai search. No icon recolored. drawio-ai validate <file>.drawio→"ok":truewith emptyerrors,warnings,advice.- You looked at the rendered PNG — or, if
RENDER-SKIPPEDwas printed, you told the user no PNG was made. - The file is in the user's project — never inside the kit folder (
drawio-ai root).
Reply with: the .drawio path, the .png path (if any), one sentence on what the
diagram shows, and any assumptions you made.
Never
- Never write files into the kit folder (
drawio-ai root). - Never invent icon names or style strings. Search for them.
- Never hand-write draw.io XML or x/y coordinates.
- Never read the engine's source (
dist/,src/).references/api.mdhas everything. - Never import by file path. Scripts use
import { ... } from "drawio-ai-kit"and run withdrawio-ai run build.mjs.
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.

