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 (including an exact error message users might encounter), explicitly states both what it does and when to use it, and occupies a clearly distinct niche. The description is concise yet comprehensive, covering the full scope without unnecessary verbosity.
| 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'. Includes the exact error message a user might paste, which is particularly effective. | 3 / 3 |
Distinctiveness Conflict Risk | Highly distinctive with a clear niche: ARK stack type pipeline from Kubernetes CRDs to TypeScript. The specific project names (ark-dashboard, ARK SDK/API), technologies (OpenAPI spec, CRDs), and exact error messages make it very unlikely to conflict with other skills. | 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. It excels at actionability with concrete commands, file paths, and a critical naming convention table that prevents real CI failures. The only minor weakness is that all content is inline rather than using progressive disclosure to separate the detailed Pydantic naming conventions or debugging guides into referenced files, though the current length is reasonable for a single file.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The content is lean and efficient throughout. It assumes Claude understands Kubernetes CRDs, Pydantic, FastAPI, and TypeScript without explaining any of these concepts. Every section delivers specific, actionable information without padding. | 3 / 3 |
Actionability | Provides concrete, executable commands (make ark-sdk-build, npm run generate:api, grep commands for debugging), specific file paths, a clear naming convention table with examples, and exact steps for each operation. The debugging section gives copy-paste-ready diagnostic commands. | 3 / 3 |
Workflow Clarity | The type generation pipeline is clearly sequenced with an ASCII diagram showing the full flow. Each stage has explicit commands, and the debugging section provides a clear sequence with validation (npm run build to verify types compile). The Pydantic naming section includes a safety net validation step (generate_openapi.py fails on collisions). | 3 / 3 |
Progressive Disclosure | The content is well-structured with clear sections and a key files reference table, but everything is inline in a single file. The Pydantic naming convention section and overlay details could potentially be split into separate reference files for better organization, though the overall length is manageable. | 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
6b7c761
- Reviewed
Table of Contents
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