The description names the domain (prompt engineering) and mentions some actions like designing reusable prompts for text, image, and video with focus on clarity, control, cost, and reproducibility. However, it doesn't list multiple concrete specific actions (e.g., 'create system prompts, optimize token usage, build few-shot templates, structure chain-of-thought reasoning').

Clearly answers both 'what' (designing reusable prompts for text, image, and video with focus on clarity, control, cost, and reproducibility) and 'when' (when prompt quality is central to the feature or flow), plus includes an explicit trigger list. The 'Use quando' clause provides clear guidance on when to select this skill.

Excellent coverage of natural trigger terms users would say, including both Portuguese and English variations: 'prompt engineer', 'prompt engineering', 'melhorar prompt', 'otimizar prompt', 'template de prompt', 'system prompt', 'few-shot', 'chain of thought', 'reduzir custo de prompt', 'iterar prompt', 'prompt reutilizavel'. These are terms users would naturally use when needing this skill.

The skill occupies a clear niche — prompt engineering and optimization — with highly specific trigger terms like 'few-shot', 'chain of thought', 'system prompt', and 'prompt reutilizavel' that are unlikely to conflict with other skills. The domain is well-defined and distinct.

The skill is moderately efficient but includes some unnecessary sections like 'Quando Não Usar' and 'Entradas Esperadas' that add little value for Claude. The governance references at the top consume tokens without adding actionable guidance. However, the Layering section is reasonably tight.

The Layering section provides a useful incremental framework with clear steps, but lacks concrete examples of actual prompts at each layer. There are no executable code snippets, no sample prompt templates, and no input→output examples showing what a good prompt looks like at each camada.

The 3-layer progressive construction is a clear multi-step workflow with explicit 'test before advancing' checkpoints at each layer. However, the validation steps are vague — 'Testar aqui antes de avançar' doesn't specify how to test or what constitutes passing. There's no feedback loop for what to do when a test fails.

References to external files like 'patterns/ai-integration/prompt-patterns.md', 'templates/agent-spec.md', and 'templates/prompt-spec.md' are present and one-level deep, which is good. However, no bundle files are provided to verify these exist, and the references are scattered throughout rather than organized in a clear navigation section. The governance references at the top add clutter.