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Provides code patterns for Google Gemini API integration including text generation, multimodal inputs, and streaming. Use when working with Google AI SDK or when the user mentions Gemini API, Google AI, or Vertex AI.

Executes a rapid prototyping workflow that skips normal standards to quickly validate a product concept or core mechanic, producing throwaway code and a prototype report. Use when the user wants to quickly test an idea or mentions prototyping, proof of concept, or MVP spike.

Defines REST and GraphQL API contracts including endpoints, request/response schemas, auth flows, and versioning strategy. Use when designing a new API, reviewing an API spec, or when the user mentions API design, OpenAPI, or endpoint contracts.

Grounds framework, library, API, and platform-specific technical decisions in official documentation before implementation. Use when current docs, version-specific behavior, best practices, deprecations, or external API correctness matter.

Designs scalable backend architectures covering microservices, event-driven systems, API gateways, and data stores. Use when designing a backend system or when the user mentions backend architecture, scalability, or distributed systems.

Provides Laravel PHP patterns for Eloquent ORM, Artisan commands, queues, middleware, and API resources. Use when working with PHP Laravel files (*.php) or when the user mentions Laravel, Eloquent, or PHP framework.

Provides code patterns for the Anthropic Claude API including streaming, tool use, and prompt caching. Use when working with Anthropic SDK files or when the user mentions Claude API, Anthropic client, or LLM integration.

Create, ingest into, and query a Pinecone full-text-search (FTS) index using the preview API (2026-01.alpha, public preview). Use when the user or agent asks to build a text search index on Pinecone, add dense or sparse vector fields, ingest documents, construct score_by clauses (text / query_string / dense_vector / sparse_vector), or compose with text-match filters ($match_phrase / $match_all / $

Curated documentation reference for developers building with Pinecone. Contains links to official docs organized by topic and data format references. Use when writing Pinecone code, looking up API parameters, or needing the correct format for vectors or records.

Fornece padrões de arquitetura Spring Boot para APIs REST, serviços em camadas, acesso a dados JPA, cache, processamento assíncrono e logging. Utilize ao trabalhar com arquivos Java Spring Boot (*.java, pom.xml) ou quando o usuário mencionar Spring Boot, Spring Framework ou backend Java.

Production FastAPI patterns — async endpoints, SQLAlchemy 2.0 async, Pydantic V2, dependency injection, JWT auth, testing. Use for Python 3.11+ FastAPI backends. NOT for Django (→ `django-patterns`) or Node.js (→ `backend-patterns`).

Query integrated indexes using text with Pinecone MCP. IMPORTANT - This skill ONLY works with integrated indexes (indexes with built-in Pinecone embedding models like multilingual-e5-large). For standard indexes or advanced vector operations, use the CLI skill instead. Requires PINECONE_API_KEY environment variable and Pinecone MCP server to be configured.