Content
22%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
This skill functions primarily as a routing document that points to external pattern files and policies without providing any concrete, actionable guidance itself. It lacks executable code examples, specific architectural patterns, workflow steps, or validation checkpoints. While the organizational intent is reasonable, the skill body alone gives Claude almost nothing to act on beyond 'go read these other files.'
Suggestions
Add at least one concrete, executable example of a provider adapter pattern (e.g., a TypeScript/Python adapter interface with a real implementation for OpenAI or Anthropic) so the skill has standalone actionable value.
Define a clear numbered workflow for AI integration: e.g., 1) Identify use case type, 2) Select provider, 3) Implement adapter, 4) Add hooks, 5) Configure cost controls, 6) Validate with test call — with explicit validation checkpoints.
Include a minimal decision tree or table for provider selection (e.g., text→Anthropic/OpenAI, image→DALL-E/Midjourney, video→Runway) so Claude has concrete guidance without needing to consult external files.
Remove or consolidate the boilerplate sections (Entradas/Saidas Esperadas, Evidencia de Conclusao) into a more compact format, and use the saved space for actual implementation guidance.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The skill is moderately efficient but includes several sections that are somewhat boilerplate (Governanca Global listing many policy files, Quando Usar/Nao Usar, Entradas/Saidas Esperadas) without adding much actionable value. The submodule section at the end is useful but could be tighter. | 2 / 3 |
Actionability | The skill provides no concrete code, no executable examples, no specific API calls, no adapter patterns, and no hook implementations. It entirely delegates to external pattern files (patterns/ai-integration/*) without showing any actual guidance. It describes what to do at a meta level ('consultar providers.md', 'adapters e hooks mapeados') but never shows how. | 1 / 3 |
Workflow Clarity | There is no clear sequenced workflow for implementing an AI integration. The skill lists inputs, outputs, and references but never defines a step-by-step process with validation checkpoints. For a multi-step architectural task involving provider selection, adapter implementation, cost analysis, and security review, the absence of any workflow sequence is a significant gap. | 1 / 3 |
Progressive Disclosure | The skill references multiple external files (patterns/ai-integration/*, policies/*, templates/*) which shows intent for progressive disclosure, but since no bundle files are provided, we cannot verify these references exist. The structure has clear sections and one-level-deep references, but the main content is essentially just a pointer to other files with almost no standalone value. | 2 / 3 |
Total | 6 / 12 Passed |