drawio-aws
Use when the user asks for an AWS architecture diagram — VPC/networking, event-driven, landing zone, multi-AZ, serverless pipeline, or any diagram built with AWS service icons. Builds with the declarative layout engine using ground-truth mxgraph.aws4 stencils, validates (stencils/colors/nesting/geometry), runs a render-based vision self-check. Default output is .drawio; PNG/SVG only on request.
Profile →npx skills add sparklabx/drawio-ai-kit --skill drawio-aws --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Draw.io AWS Produce correct AWS architecture diagrams in draw.io. This skill is a thin frontend; the deterministic engine, validator, and rules live in the `drawio-ai-kit` package, reached via the `drawio-ai` CLI. ## 0. Preflight — the CLI must be installed ```bash command -v drawio-ai >/dev/null 2>&1 || echo "Install the Kit first: npm i -g github:sparklabx/drawio-ai-kit" ``` If `drawio-ai` is **not** on PATH, stop and tell the user to run `npm i -g github:sparklabx/drawio-ai-kit`. **Never run `npm i -g` yourself** — nothing mutates the user's global environment without their say-so. ## 1. Delegate the build (preferred when your harness supports it) If your harness can spawn autonomous subagents that run shell commands AND read images (e.g. Claude Code's Task tool, a general-purpose agent), run the whole build loop in a subagent — the rules, icon searches, and every render/fix iteration then cost this conversation nothing. If it can't (or the subagent can't read images), skip to **Inline path** below — same loop, same rules. **Before spawning**, resolve what the subagent cannot ask about: diagram scope, output directory (absolute path under the user's project), filename. Run the
- 0. Preflight — the CLI must be installed
- 1. Delegate the build (preferred when your harness supports it)
- Inline path (no subagent support)
- 1. Shared Workflow
- 2. Domain rules
- 3. Build with the engine, then validate + render
- Domain notes
- Self-check (before delivering)
command -v drawio-ai >/dev/null 2>&1 || echo "Install the Kit first: npm i -g github:sparklabx/drawio-ai-kit" drawio-ai workflow drawio-ai principles --mode aws
What does the drawio-aws skill do?
Use when the user asks for an AWS architecture diagram — VPC/networking, event-driven, landing zone, multi-AZ, serverless pipeline, or any diagram built with AWS service icons. Builds with the declarative layout engine using ground-truth mxgraph.aws4 stencils, validates (stencils/colors/nesting/geometry), runs a render-based vision self-check. Default output is .drawio; PNG/SVG only on request.
How do I install it?
Run `npx skills add sparklabx/drawio-ai-kit --skill drawio-aws --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From sparklabx/drawio-ai-kit, a repository with 620 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.