{"slug":"sparklabx-drawio-ai-kit","name":"Drawio Ai Kit","description":"A reusable skill kit for AI agents to generate structurally precise and aesthetically standardized draw.io diagrams across major cloud platforms and BPMN, with declarative layout, stencils, and validation.","long_description":"

\n \"drawio-ai-kit\n   \n \"drawio-ai-kit\n

\n\n

\n \"Version\n \"Dependencies:\n \"5\n \"Node\n \"License:\n \"PRs\n

\n\nAn orchestration and validation framework enabling AI agents to generate **structurally precise and aesthetically standardized** draw.io diagrams, optimized for AWS, Azure & GCP architectures.\n\nIt mitigates common AI agent hallucinations (such as generating non-existent stencil IDs that result in empty shapes) using three key components:\n\n1. **Declarative Catalog** — A single source of truth mapping draw.io stencil IDs (`mxgraph.aws4.*`) to their respective taxonomies and canonical color palettes.\n2. **Design Principles** — Codified architectural and layout rules (`rules/principles.md`).\n3. **Structural Validator** — A static analysis engine that audits diagram XML to guarantee stencil references are valid and design principles are satisfied prior to serialization.\n\nExposed to the AI via the **zero-dependency `drawio-ai` CLI**.\n\n## Showcase\n\nOne diagram per platform — all generated end-to-end by the kit: no hand-placed coordinates, real stencils, validated, vision-checked. Full set in [`examples/`](examples/).\n\n

\",\"skill_slug\":\"sparklabx-drawio-ai-kit\",\"task\":\"Install Drawio Ai Kit\",\"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."},{"id":"claude-code","label":"Claude Code","kind":"agent-prompt","value":"Add \"Drawio Ai Kit\" as a Claude Code skill from https://github.com/sparklabx/drawio-ai-kit. Inspect the skill instructions, place the reusable skill files in the appropriate local skills location for this project, and report the activation steps. Skill purpose: A reusable skill kit for AI agents to generate structurally precise and aesthetically standardized draw.io diagrams across major cloud platforms and BPMN, with declarative layout, stencils, and validation. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_\",\"skill_slug\":\"sparklabx-drawio-ai-kit\",\"task\":\"Install Drawio Ai Kit\",\"agent\":\"claude-code\",\"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."},{"id":"cursor","label":"Cursor","kind":"agent-prompt","value":"Turn \"Drawio Ai Kit\" from https://github.com/sparklabx/drawio-ai-kit into a reusable Cursor project rule or agent instruction. Preserve the core workflow, adapt paths to this repo, and keep the rule scoped to tasks where it is relevant. Skill purpose: A reusable skill kit for AI agents to generate structurally precise and aesthetically standardized draw.io diagrams across major cloud platforms and BPMN, with declarative layout, stencils, and validation. 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