Creator · sparklabx
Last updated · Sep 5, 2026
Use when the user asks for a BPMN diagram, swimlane diagram, business process map, or workflow diagram with roles/lanes and phases. Builds with the declarative layout engine using canonical mxgraph.bpmn stencils (events, gateways, typed tasks) in horizontal swimlanes (pool → lane
Sandbox only
Install targets
Codex install prompt
Install the "drawio-bpmn" agent skill from https://github.com/sparklabx/drawio-ai-kit/tree/main/skills/drawio-bpmn. Read its SKILL.md or equivalent instructions first, install only the files needed for this workspace, and summarize any required setup before using it. Skill purpose: Use when the user asks for a BPMN diagram, swimlane diagram, business process map, or workflow diagram with roles/lanes and phases. Builds with the declarative layout engine using canonical mxgraph.bpmn stencils (events, gateways, typed tasks) in horizontal swimlanes (pool → lanes × phases), validates (BPMN semantic rules plus geometry), runs a render-based vision self-check. Default output is .drawio; PNG/SVG only on request. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {"event_id":"install_<unique-id>","skill_slug":"sparklabx-drawio-bpmn","task":"Install drawio-bpmn","agent":"codex","outcome":"success","install_used":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes.Supply asset profile
Design assets, images, video, audio, multimodal media, presentation, and creative production skills.
Scenario
Multimodal media
I need my agent to process images, video, or audio and extract useful information.
Agent fit
Claude Code + CLI + Codex
Codex, Claude Code, Cursor, CLI, or custom agents.
Install
Ready
npx skills add sparklabx/drawio-ai-kit --skill drawio-bpmn
Maintenance
fresh
28d since push
Risk
Needs review
Permission surface may require sandboxing
GitHub quality
638
75/100 Quality · 79/100 Trust
Coverage tags
Review notes
Permission surface may require sandboxing · Quality score needs review
Agent adoption scorecard
These scores combine public repository metadata, OpenAgentSkill review signals, maintenance freshness, and install readiness. They are a shortlist signal, not a replacement for human review.
Quality
StrongSolid option that is likely worth shortlisting for production workflows.
Trust
Sandbox onlyUseful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.
Audit
Needs reviewA machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
OpenAgentSkill Trust Score v5
Run only in a sandbox and compare close alternatives before using it for real work.
Stars
638 GitHub stars
Repo activity
638 stars, 113 forks
Maintenance
28d since push
License
MIT
Install
npx skills add sparklabx/drawio-ai-kit --skill drawio-bpmn
Install safety
Agent-readable metadata
Use this block or the embedded JSON to decide whether an agent should install this skill, choose an alternative, or ask for human review first.
Suited tasks
Suited agents
Install decision
Trust and risk
Outcome loop
Install command
npx skills add sparklabx/drawio-ai-kit --skill drawio-bpmnDo not use when
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Agent safety v2
Sparse or mixed signals. Useful for discovery, but not for autonomous installation.
Test manually in an isolated workspace and compare against safer alternatives.
high
Skill metadata references terminal, CLI, shell, subprocess, or command execution workflows.
medium
Skill likely fetches remote pages, APIs, repositories, or external services.
medium
Skill may read or write project files, documents, generated artifacts, or local workspace state.
Agent resolve plan
The Resolve API returns the selected skill, alternatives, safety policy, audit notes, install target, and copy-paste prompt an agent can follow without scraping this page.
Open JSON
/api/agent/resolve?task=Use%20drawio-bpmn%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve text
/api/agent/resolve?task=Use%20drawio-bpmn%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Install handoff
/api/skills/sparklabx-drawio-bpmn/install
Agent should check
Copy prompt
Task: Use drawio-bpmn in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20drawio-bpmn%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/sparklabx-drawio-bpmn/install
Install command: npx skills add sparklabx/drawio-ai-kit --skill drawio-bpmn
Before running it, summarize audit warnings, required permissions, and the fallback skill if install is risky.Agent handoff
Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.
Install handoff
/api/skills/sparklabx-drawio-bpmn/install
LLM text format
/api/skills/sparklabx-drawio-bpmn/install?format=text
Find alternatives
/api/skills/search?q=drawio-bpmn&limit=3
Agent prompt
Use drawio-bpmn for this task. Review https://www.openagentskill.com/api/skills/sparklabx-drawio-bpmn/install, then install with: npx skills add sparklabx/drawio-ai-kit --skill drawio-bpmnRegistry metadata
This page exposes the same decision, trust, audit, use-case, and install signals through the Registry API, so agents can rank this skill without scraping the UI.
Manifest
/api/registry/manifest/sparklabx-drawio-bpmn
LLM text
/api/registry/manifest/sparklabx-drawio-bpmn?format=text
Install alias
/api/registry/install/sparklabx-drawio-bpmn
Recommend
/api/registry/recommend?task=Use%20drawio-bpmn%20in%20an%20agent%20workflow&limit=3
Agent fit
GitHub automation
Use-case tags
Platforms
Claude Code
Audit report
A machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
Agent decision cockpit
Use this as a leading candidate, then validate the README and install path in your own agent stack.
Role in stack
Primary pick
Primary fit
GitHub automation
Trust label
Production-ready
Install path
Command ready
Use when
Evidence
review first
Implementation path
Trust profile
Useful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.
GitHub adoption
INFO638 GitHub stars
Stars/forks activity
INFO638 stars, 113 forks; issue activity unavailable in current metadata
Recent maintenance
PASS28d since push
License clarity
PASSMIT
Good signals
Review before install
Recommended action
Run only in a sandbox and compare close alternatives before using it for real work.
Quality profile
Solid option that is likely worth shortlisting for production workflows.
Workflow fit
Manage repositories
I need my agent to triage GitHub issues, review pull requests, and summarize repository changes.
Investigate faster
I need my agent to research a topic, compare sources, and produce a concise report.
Automate repeated work
I need my agent to automate a repeated workflow across tools and files.
Workflow fit
Turn skills into distribution
A workflow for turning newly indexed skills into SEO briefs, social drafts, comparison pages, and reusable publishing workflows.
Design, build, test, and ship interfaces
A practical workflow for agents that turn product briefs or Figma designs into polished frontend code, review the result, test it in a browser, and prepare a safe deployment.
Find, compare, and synthesize
A workflow for agents that gather sources, compare claims, summarize long material, and draft useful research briefs.
Alternative shortlist
Similar skills that may fit this task.
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--- name: drawio-bpmn version: 1.0.1 description: Use when the user asks for a BPMN diagram, swimlane diagram, business process map, or workflow diagram with roles/lanes and phases. Builds with the declarative layout engine using canonical mxgraph.bpmn stencils (events, gateways, typed tasks) in horizontal swimlanes (pool → lanes × phases), validates (BPMN semantic rules plus geometry), runs a render-based vision self-check. Default output is .drawio; PNG/SVG only on request. license: MIT ---
# Draw.io BPMN
Produce correct BPMN (Business Process Model and Notation) swimlane 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 preflight above yourself. For a multi-diagram request, spawn one subagent per diagram in parallel with distinct filenames.
**Model routing** — if your harness lets you choose the subagent's model, route by task weight: a **fast/cheap tier** (Claude Haiku-class — must support vision) when the request matches a template from the rules' Templates table (reproduction is mechanical; the validator's advice strings teach every fix), your **default strong model** for free-hand or novel architectures. If a cheap subagent returns VALIDATE not ok or ITERATIONS > 3, respawn ONCE on the strong model before taking over inline. Multi-diagram requests: route each diagram independently.
Subagent prompt (fill every `<...>`):
```text Build a BPMN swimlane .drawio diagram with the drawio-ai CLI. Request: <user's request + clarifications, verbatim> Output: <ABS_PROJECT_DIR>/<NAME>.drawio — never write inside the Kit, never into cwd. Follow exactly: 1. Set ROOT="$(drawio-ai root)". Read $ROOT/docs/api-cheatsheet.md — the full layout-engine API in one file; never read library source. 2. Run `drawio-ai workflow` and `drawio-ai principles --mode bpmn` — the source of truth. (Fallback if a command is blocked: read $ROOT/rules/*.md directly.) 3. Look up every icon with ONE batched `drawio-ai search "a, b, c"`; never recolor icons. 4. Scaffold, don't write: `drawio-ai scaffold --list`, pick the closest template, then `drawio-ai scaffold <name>.mjs -o <dir>/build.mjs` — the script arrives runnable (absolute imports, self-validating, self-rendering with an issues list). Edit only the deltas. If no template is close AND you'd change more than half of it, Write a new script instead (keep the scaffold's self-check tail). Layout engine only (group/frame/grid/icon/box + renderTree), NO hand-written coordinates. 5. Each `node build.mjs` run prints validate JSON AND the render's machine-readable `issues` list. Fix from THAT checklist — all issues in one Edit round — then re-run. Loop until issues is empty. 6. Only when issues is empty: Read the PNG once as final visual confirmation (list any remaining visual problems, fix ALL in one round). Target <= 2 PNG reads total. Then render once WITHOUT --check for the final deliverable PNG. Do NOT invoke any drawio skill — this prompt already contains the full procedure. Do not ask questions — make the standard choice and record it under ASSUMPTIONS. Return EXACTLY this block, nothing else: DRAWIO: <absolute path to .drawio> PNG: <absolute path to .png> VALIDATE: <verbatim final validate JSON> ICONS: <comma-separated icon names used> ITERATIONS: <number of render/fix cycles> SUMMARY: <one sentence describing the diagram> ASSUMPTIONS: <choices made without asking, or "none"> ```
Relay `DRAWIO`, `PNG` and `SUMMARY` to the user verbatim; do NOT re-read the .drawio or PNG in this conversation — the subagent already ran the vision self-check. If `VALIDATE` is not ok, take over via the Inline path (the build .mjs and .drawio are on disk at the returned paths).
## Inline path (no subagent support)
### 1. Shared Workflow
```bash drawio-ai workflow ```
Prints the build → validate → render → write-to-project-path loop every diagram follows. Read it; it is the source of truth for the process.
### 2. Domain rules
```bash drawio-ai principles --mode bpmn ```
Returns the BPMN rules + shared principles + catalog shape groups.
### 3. Build with the engine, then validate + render
Resolve the Kit's install dir, then `import` the engine by absolute path (the Shared Workflow shows the exact pattern):
```bash ROOT="$(drawio-ai root)" # absolute path to the installed Kit ```
Build with the declarative layout engine (NO hand-written coordinates) using the `src/bpmn.mjs` creators and the `pool()` primitive, then: `drawio-ai validate <file>` → `drawio-ai render <file> -o <file>.png` (`Read` the PNG for the vision self-check) → write the `.drawio` to an **absolute path under the user's project** (never the Kit, never `cwd`).
## Domain notes
Structure: `pool → lanes (roles) × phases (milestones)`. Use the creators in `src/bpmn.mjs` — `start`, `intermediate`, `end`, `gateway` (exclusive/parallel/ inclusive/event), typed tasks (`userTask`, `serviceTask`, `manualTask`, `scriptTask`, `businessRuleTask`), plain `task`, `subProcess`. Each node carries `{ lane, col }` cell tags; the engine places them automatically.
A gateway MUST split (≥2 outgoing) or merge (≥2 incoming) — never neither. Red accent ONLY for blocker end events (error/cancel/terminate); everything else is monochrome. Sequence flow: solid lines, rounded corners. One start event (no incoming flow); end events on the right (no outgoing flow). Horizontal by default; pass `orientation: "vertical"` to `pool()` for vertical swimlanes.
## Self-check (before delivering) - [ ] Built with the layout engine — no hand-written coordinates. - [ ] `drawio-ai validate` → ok, no warnings, no advice. - [ ] Every icon came from `drawio-ai search` (category colors intact). - [ ] `drawio-ai render` vision self-check passed. - [ ] Output written under the user's project, not the Kit.
Source provenance
Decision snapshot
638 GitHub stars
Audit
Install and adoption review
Agent-proven evidence
Outcome reports after resolve, review, install, and one narrow run.
No agent outcome data yet. The first agent run can report success, setup needs, risk blocks, failure, or not-relevant through /api/agent/outcome.
Install
Free and open source. Review the report before installing into production agents.
Growth loop
Scenario-led draft for drawio-bpmn, ready for a manual X post.
drawio-bpmn: Use when the user asks for a BPMN diagram, swimlane diagram, business process map, or workflo... 638 stars https://www.openagentskill.com/skills/sparklabx-drawio-bpmn?ref=x
Listing + install path for drawio-bpmn: https://www.openagentskill.com/skills/sparklabx-drawio-bpmn?ref=x Install: npx skills add sparklabx/drawio-ai-kit --skill drawio-bpmn
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Sandbox only
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shell or command execution, filesystem or document access
Agent outcomes
No agent outcome data yet
Docs
Strong README/SKILL.md context
Risk summary
Install readiness