Names the domain (AI integrations) and mentions some architectural concepts (provider, adapter, hooks, observability, cost, security), but these are more structural concerns than concrete actions. It doesn't list specific actions like 'configure API endpoints', 'implement retry logic', or 'set up streaming responses'.

It explicitly answers both 'what' (design and implement AI integrations with separation of provider, adapter, hooks, observability, cost, and security) and 'when' ('Use quando o usuario quiser adicionar texto, imagem ou video ao app'). The 'Use when' clause is present and explicit.

Includes some relevant terms like 'IA', 'texto', 'imagem', 'video', 'integracoes', but misses common natural language triggers users might say such as 'AI API', 'LLM', 'OpenAI', 'Claude API', 'chat completion', 'embeddings', 'generative AI'. The trigger terms are somewhat generic.

The AI integration focus provides some distinctiveness, but the trigger 'adicionar texto, imagem ou video ao app' is quite broad and could easily overlap with general UI/frontend skills, media handling skills, or content management skills. The architectural terms (provider, adapter, hooks) help somewhat but aren't typical user trigger terms.

The content is relatively brief but includes several sections that are more organizational boilerplate than actionable content (e.g., 'Quando Usar', 'Quando Nao Usar', 'Entradas Esperadas', 'Saidas Esperadas'). These sections describe the skill's purpose rather than teaching Claude how to do anything, adding tokens without much value.

The skill provides no concrete code, commands, examples, or executable guidance. It describes what to consult and what outputs to produce but never shows how to actually implement an AI integration — no code snippets, no adapter patterns, no hook examples, no schema examples. Everything is delegated to external files without any inline actionable content.

There is no clear sequenced workflow. The skill lists inputs, outputs, and references but never defines a step-by-step process for designing an AI integration. There are no validation checkpoints, no decision points, and no feedback loops for what is inherently a multi-step architectural process.

The skill does reference multiple external files (patterns/ai-integration/*.md, policies/*.md, templates/*.md) which is good progressive disclosure structure. However, the references are not clearly signaled with descriptions of what each file contains, and the main file itself has almost no substantive content — it's essentially just a pointer file with no useful overview content to stand on its own.