Analyzes legacy UI templates (Pug, EJS, HTML) to extract a comprehensive inventory of components, layouts, and conditional logic. Use when reverse-engineering a legacy frontend for a modern rewrite.
Idioma do texto original: inglês
Skills neste repositório
O SkillsMP coletou 68 skills de GoogleCloudPlatform/devrel-demos. Abra uma skill para revisar a origem e os detalhes.
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Analyzes legacy UI templates (Pug, EJS, HTML) to extract a comprehensive inventory of components, layouts, and conditional logic. Use when reverse-engineering a legacy frontend for a modern rewrite.
Idioma do texto original: inglês
Reads API_Contracts.md and generates failing Vitest integration tests for the expected Next.js Route Handlers. Use when generating API tests for TDD.
Idioma do texto original: inglês
Generates and executes a database seeder script to populate MongoDB with sample data based on modern Zod schemas. Use this to prepare an environment for functional parity testing.
Idioma do texto original: inglês
Reads API_Contracts.md artifacts and rebuilds the legacy Express routes as modern Next.js Route Handlers or Server Actions. Use when following a legacy audit artifact to scaffold out a new Express API routes.
Idioma do texto original: inglês
Reads Data_Models.md artifacts and generates the equivalent modern ORM schema or native MongoDB/Zod layer. Use when following a legacy audit artifact to scaffold out the data access layer for a Next.js app.
Idioma do texto original: inglês
Generates a new Next.js application with Tailwind, TypeScript, and modern dependencies based on audit specifications. Use when beginning the scaffolding phase of a greenfield codebase rewrite.
Idioma do texto original: inglês
Installs and configures Vitest for a modern Next.js Application. Use this for setting up the environment to run Vitest.
Idioma do texto original: inglês
Translates a UI_Component_Inventory.md artifact into modern ShadCN + Tailwind components AND fully scaffolded Next.js pages. Use when building the frontend design system and routing infrastructure.
Idioma do texto original: inglês
Boilerplate for a production evaluation runner that performs parallel inference, captures reasoning traces via SSE, and integrates with the Vertex AI Gen AI Evaluation service.
Idioma do texto original: inglês
Provides templates for configuring Vertex AI Gen AI Evaluation metrics like GROUNDING, TOOL_USE_QUALITY, and ResponseMatch for specific agent domains.
Idioma do texto original: inglês
Implements the "Dark Canary" pattern for Cloud Run, allowing agents to be evaluated in production without serving user traffic.
Idioma do texto original: inglês
Provides custom Python metrics for configuring Vertex AI Gen AI Evaluation to measure Trajectory Precision, Recall, and Order Match.
Idioma do texto original: inglês
Helps developers implement the long-term memory layer by providing the boilerplate code for the VertexAiMemoryBankService and the save_session_to_memory_callback.
Idioma do texto original: inglês
Generates a standard Dockerfile that includes both Python and Node.js environments for AI agents.
Idioma do texto original: inglês
Automates the generation of Terraform files for a secure Cloud Run deployment of an AI agent.
Idioma do texto original: inglês
Assists developers in collecting and structuring a library of diverse examples ("Golden Dataset") required for data-driven evaluation, including tool trajectories.
Idioma do texto original: inglês
Configures Model Armor security policies (Prompt Injection, Jailbreak, RAI filters).
Idioma do texto original: inglês
Implements the "Defense-in-Depth" integration pattern in Python (intercepting prompts, parsing filter results).
Idioma do texto original: inglês
Standardizes the creation of Sensitive Data Protection (DLP) templates for PII and credential redaction.
Idioma do texto original: inglês
Implements the "in-memory only" secret pattern for Google Cloud production agents.
Idioma do texto original: inglês
Scaffolds the McpToolset connection logic for standard servers (Reddit, Google Docs) or custom local Python scripts.
Idioma do texto original: inglês
Generates optimized descriptions for video platforms from transcripts and supplementary material. Use when the user asks for a video description or provides a transcript for video preparation.
Idioma do texto original: inglês
Standardized setup for new Go (Golang) projects and services. Activate to ensure clean, idiomatic project structures (Standard Layout) and implement production-ready patterns (graceful shutdown, package separation) from day one.
Idioma do texto original: inglês
Real-time source of truth for software and model versions. Activate when adding dependencies, installing packages, or identifying Gemini model names. Bypasses internal knowledge cutoffs by querying live registries (NPM, PyPI, Go Proxy) and official…
Idioma do texto original: inglês
Expert in Go project scaffolding, standard layout compliance, and dependency management. Activates for "new project", "structure", "layout".
Idioma do texto original: inglês
Specialist in implementing robust HTTP services and APIs in Go. Activates for "endpoint", "handler", "API", "server".
Idioma do texto original: inglês
Expert code reviewer focusing on idiomatic Go, concurrency safety, and clean code principles. Activates for "review", "idiomatic", "refactor".
Idioma do texto original: inglês
Expert in Go testing patterns, table-driven tests, httptest, benchmarking, and fuzzing. Activates for "test", "fail", "benchmark", "debug", "fuzz".
Idioma do texto original: inglês