drawio
Generate draw.io diagrams programmatically using Python. Creates flowcharts, architecture diagrams, tree structures, network diagrams, and more. Use when the user requests a .drawio file, diagram, flowchart, or visual documentation.
100
Does it follow best practices?
Validation for skill structure
Discovery
100%Based on the skill's description, can an agent find and select it at the right time? Clear, specific descriptions lead to better discovery.
This is a well-crafted skill description that hits all the key criteria. It specifies concrete capabilities (multiple diagram types), uses natural trigger terms users would actually say, explicitly includes a 'Use when...' clause, and carves out a distinct niche around draw.io file generation. The description is concise yet comprehensive.
| Dimension | Reasoning | Score |
|---|---|---|
Specificity | Lists multiple specific concrete actions: 'Generate draw.io diagrams programmatically using Python', 'Creates flowcharts, architecture diagrams, tree structures, network diagrams'. These are concrete, actionable capabilities. | 3 / 3 |
Completeness | Clearly answers both what ('Generate draw.io diagrams programmatically using Python. Creates flowcharts, architecture diagrams...') AND when ('Use when the user requests a .drawio file, diagram, flowchart, or visual documentation') with explicit trigger guidance. | 3 / 3 |
Trigger Term Quality | Includes natural keywords users would say: '.drawio file', 'diagram', 'flowchart', 'visual documentation', plus specific diagram types like 'architecture diagrams', 'tree structures', 'network diagrams'. Good coverage of natural terms. | 3 / 3 |
Distinctiveness Conflict Risk | Clear niche targeting draw.io specifically with distinct triggers like '.drawio file'. The combination of 'draw.io', 'programmatically using Python', and specific diagram types makes it unlikely to conflict with generic diagramming or documentation skills. | 3 / 3 |
Total | 12 / 12 Passed |
Implementation
100%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
This is a well-crafted skill that efficiently teaches diagram generation with drawpyo. It excels at providing actionable, executable code while maintaining excellent organization through a decision tree for workflow guidance and clear references for deeper content. The content respects token budget while covering all essential use cases.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The content is lean and efficient, assuming Claude's competence. No unnecessary explanations of what draw.io is or how Python libraries work. Every section provides actionable information without padding. | 3 / 3 |
Actionability | Provides fully executable code examples with copy-paste ready snippets. The quick start shows exact commands, code includes proper imports and complete working examples, and the helper scripts table gives precise usage patterns. | 3 / 3 |
Workflow Clarity | The decision tree provides excellent workflow guidance for choosing the right approach. For a diagram generation skill, the workflow is clear: identify diagram type → use appropriate method → save to output directory. The process is straightforward without needing validation loops since diagram generation is non-destructive. | 3 / 3 |
Progressive Disclosure | Excellent structure with a concise overview, quick start, and key concepts inline, while appropriately deferring detailed API documentation, examples, and scripts to clearly signaled one-level-deep references (references/REFERENCE.md, references/examples.md, scripts/). | 3 / 3 |
Total | 12 / 12 Passed |
Validation
100%Checks the skill against the spec for correct structure and formatting. All validation checks must pass before discovery and implementation can be scored.
Validation — 11 / 11 Passed
Validation for skill structure
No warnings or errors.
- Reviewed
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