ark-sdk-development
Regenerate and debug types across the ARK stack (SDK, API, Dashboard). Use when fixing TypeScript type errors in ark-dashboard, updating types after CRD changes, regenerating types.ts from OpenAPI spec, debugging "Property does not exist on type" schema errors, or adding custom SDK functionality via overlays. Covers the full type pipeline from Kubernetes CRDs to TypeScript.
97
96%
Does it follow best practices?
Impact
100%
1.05xAverage score across 3 eval scenarios
Passed
No known issues
Quality
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 an excellent skill description that hits all the marks. It provides specific concrete actions, includes natural trigger terms that developers would use when encountering these issues, explicitly states both what the skill does and when to use it, and occupies a very distinct niche that is unlikely to conflict with other skills. The inclusion of a specific error message pattern ('Property does not exist on type') is particularly effective as a trigger term.
| Dimension | Reasoning | Score |
|---|---|---|
Specificity | Lists multiple specific concrete actions: regenerate types, debug types, fix TypeScript type errors, update types after CRD changes, regenerate types.ts from OpenAPI spec, debug schema errors, add custom SDK functionality via overlays. Very concrete and actionable. | 3 / 3 |
Completeness | Clearly answers both 'what' (regenerate and debug types across the ARK stack) and 'when' with an explicit 'Use when...' clause listing five specific trigger scenarios. Also provides scope context with 'Covers the full type pipeline from Kubernetes CRDs to TypeScript.' | 3 / 3 |
Trigger Term Quality | Excellent coverage of natural trigger terms users would say: 'TypeScript type errors', 'ark-dashboard', 'CRD changes', 'types.ts', 'OpenAPI spec', 'Property does not exist on type', 'SDK', 'overlays'. These are highly specific terms a developer would naturally use when encountering these issues. | 3 / 3 |
Distinctiveness Conflict Risk | Highly distinctive with a very clear niche: ARK stack type generation pipeline from Kubernetes CRDs through OpenAPI to TypeScript. The combination of project-specific terms (ark-dashboard, ARK SDK) and specific technical domain (type regeneration pipeline) makes conflicts with other skills extremely unlikely. | 3 / 3 |
Total | 12 / 12 Passed |
Implementation
92%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
This is a high-quality skill that efficiently documents a complex multi-stage type generation pipeline across three services. It excels at providing concrete, actionable guidance with specific commands, file paths, and naming conventions while avoiding unnecessary explanation. The pipeline visualization and debugging workflow are particularly well done, making this immediately useful for resolving type errors in the ARK stack.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The content is lean and efficient throughout. It avoids explaining what CRDs, Pydantic, or TypeScript are, assumes Claude's competence with these technologies, and every section delivers only project-specific knowledge that Claude couldn't infer. | 3 / 3 |
Actionability | Provides concrete, executable commands (make targets, npm commands, grep commands), specific file paths, a clear naming convention table with examples, and exact debugging steps. The guidance is copy-paste ready and specific to this codebase. | 3 / 3 |
Workflow Clarity | The type generation pipeline is clearly sequenced with an ASCII diagram showing the full flow. The debugging section provides a clear sequence with validation (npm run build to verify). The Pydantic naming section includes a safety net validation step (generate_openapi.py fails on collisions), and the guidance explicitly says 'do NOT work around - fix the root cause,' providing a feedback loop. | 3 / 3 |
Progressive Disclosure | The content is well-structured with clear sections and a key files reference table, but for a skill of this length (~90 lines of substantive content), some sections like the Pydantic naming convention details could potentially be split into a referenced file. However, the single-file approach is reasonable given the content volume. The one external reference (GitHub issue) is appropriate. | 2 / 3 |
Total | 11 / 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.
- Repository
- mckinsey/agents-at-scale-ark
- Commit
fc5746e
- Reviewed
Table of Contents
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