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Use para construir Kubernetes Operators, controladores personalizados que reconciliam o estado de CRDs.

Este pacote oferece 10 habilidades e plugins de agente de produto para Claude Code, Codex, Gemini CLI, Cursor e OpenClaw, cobrindo desde ferramentas de PM (RICE) e estratégia (OKR) até design de UI e geradores de landing page, com suporte a ferramentas Python (stdlib-only).

Monitora a saúde do cliente, prevê o risco de churn e identifica oportunidades de expansão usando modelos de pontuação ponderada para o sucesso do cliente SaaS.

Use ao construir um Kubernetes Operator, controladores personalizados que reconciliam o estado de CRDs. Inclui um validador de CRD, linter de reconcile-loop e auditor de capacidade do OperatorHub, todos implementados em Python stdlib.

API completa para Google NotebookLM, oferecendo acesso programático total, incluindo recursos não disponíveis na interface web. Crie cadernos, adicione fontes, gere todos os tipos de artefatos e baixe em múltiplos formatos, ativando com /notebooklm explícito ou intenções como "crie um podcast sobre X".

Per-page Codex review + targeted python-pptx / Beamer fixes for academic talk slides. Use AFTER /paper-slides (or any externally generated PPTX/Beamer) when the deck looks 'mostly OK' but the user wants a final pass that aligns visual weight with a reference, bumps PPTX fonts to projector-readable size, kills italic style leaks, fixes text-frame overflow, and catches per-slide layout drift. Trigge

Per-page Codex review + targeted python-pptx / Beamer fixes for academic talk slides. Use AFTER /paper-slides (or any externally generated PPTX/Beamer) when the deck looks 'mostly OK' but the user wants a final pass that aligns visual weight with a reference, bumps PPTX fonts to projector-readable size, kills italic style leaks, fixes text-frame overflow, and catches per-slide layout drift. Trigge

Use when building, debugging, or extending MCP servers or clients that connect AI systems with external tools and data sources. Invoke to implement tool handlers, configure resource providers, set up stdio/HTTP/SSE transport layers, validate schemas with Zod or Pydantic, debug protocol compliance issues, or scaffold complete MCP server/client projects using TypeScript or Python SDKs.

Use when building high-performance async Python APIs with FastAPI and Pydantic V2. Invoke to create REST endpoints, define Pydantic models, implement authentication flows, set up async SQLAlchemy database operations, add JWT authentication, build WebSocket endpoints, or generate OpenAPI documentation. Trigger terms: FastAPI, Pydantic, async Python, Python API, REST API Python, SQLAlchemy async, JW

Use when building Python 3.11+ applications requiring type safety, async programming, or robust error handling. Generates type-annotated Python code, configures mypy in strict mode, writes pytest test suites with fixtures and mocking, and validates code with black and ruff. Invoke for type hints, async/await patterns, dataclasses, dependency injection, logging configuration, and structured error h

Crie agentes Python com o SDK Agentica, utilizando o decorador @agentic, spawn(), persistência e integração MCP.

Guide for creating high-quality MCP (Model Context Protocol) servers that enable LLMs to interact with external services through well-designed tools. Use when building MCP servers to integrate external APIs or services, whether in Python (FastMCP) or Node/TypeScript (MCP SDK).