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Padrões de animação no Unity, incluindo Animancer, máquinas de estado e otimização de desempenho.

Padrões do Unity Test Framework para testes EditMode e PlayMode, incluindo testes assíncronos, mocking e organização de testes.

Valida arquivos de skill para conformidade estrutural e correção comportamental. Possui três modos: estático (linter), especificação (comportamental) e auditoria (relatório de cobertura).

Build AI that searches your documents and answers questions. Use when building a knowledge base, help center Q&A, chatting with documents, answering questions from a database, search-and-answer over internal docs, customer support bot, or FAQ system. Also use when embedding search loses critical context, retrieval returns irrelevant results, the right document is buried deep in search results, RAG

Revisão de conclusão de história. Lê o arquivo da história, verifica cada critério de aceitação contra a implementação, checa por desvios de GDD/ADR, solicita revisão de código, atualiza o status da história para Concluída e apresenta a próxima história pronta do sprint.

Use when working with reasoning models (o1, o3, o3-mini, DeepSeek-R1, Claude extended thinking) that reject system prompts or ignore formatting instructions. Common scenarios - using o1 or o3 with DSPy, getting structured output from reasoning models, two-phase prompting where a reasoning model generates freely then an extraction model parses the output, or fixing format errors from thinking model

Guia de perfilagem e otimização de desempenho para Unity 6. Utilize para perfilar, otimizar a taxa de quadros, reduzir o uso de memória e depurar gargalos de desempenho, com base na documentação do Unity 6.3 LTS.

Use when you have independent LM calls that can run concurrently — batch processing, fan-out patterns, or speeding up pipelines with no data dependencies between steps. Common scenarios - processing a batch of inputs through a DSPy module concurrently, fan-out patterns where multiple independent LM calls run at once, speeding up evaluation by parallelizing predictions, or reducing wall-clock time

Remove um pacote do projeto Unity, atualizando o manifest.json e iniciando a resolução de pacotes. Pacotes embutidos ou dependências não podem ser removidos, e a remoção pode causar um recarregamento de domínio.

Use when the task requires calling external tools or APIs to gather information — multi-step tool use with reasoning, like searching databases, calling APIs, or combining multiple data sources. Common scenarios - building agents that search the web and synthesize results, multi-step information gathering from APIs, chatbots that look up data before answering, question answering that requires exter

Analyze images and extract structured data from visual content using AI. Use when analyzing product photos, extracting text from screenshots, generating alt text for accessibility, visual question answering, categorizing images by content, reading receipts and invoices from photos, OCR with AI, describing images for search indexing, product photo categorization, document image processing, chart an

Use when you need DSPy infrastructure - caching control, debugging with inspect_history, saving/loading optimized programs, or runtime validation with Refine/BestOfN. Common scenarios - controlling the cache to avoid stale results, debugging with inspect_history to see raw prompts, saving and loading optimized programs, or validating outputs with reward functions. For streaming see /dspy-streaming