Skills en este repositorio
SkillsMP ha recopilado 68 skills de GoogleCloudPlatform/devrel-demos. Abre una skill para revisar su origen y sus detalles.
GoogleCloudPlatform/devrel-demosMostrando 28 de 68 skills recopiladas.
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 del texto original: inglés
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 del texto original: inglés
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 del texto original: inglés
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 del texto original: inglés
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 del texto original: inglés
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 del texto original: inglés
Installs and configures Vitest for a modern Next.js Application. Use this for setting up the environment to run Vitest.
Idioma del texto original: inglés
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 del texto original: inglés
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 del texto original: inglés
Provides templates for configuring Vertex AI Gen AI Evaluation metrics like GROUNDING, TOOL_USE_QUALITY, and ResponseMatch for specific agent domains.
Idioma del texto original: inglés
Implements the "Dark Canary" pattern for Cloud Run, allowing agents to be evaluated in production without serving user traffic.
Idioma del texto original: inglés
Provides custom Python metrics for configuring Vertex AI Gen AI Evaluation to measure Trajectory Precision, Recall, and Order Match.
Idioma del texto original: inglés
Helps developers implement the long-term memory layer by providing the boilerplate code for the VertexAiMemoryBankService and the save_session_to_memory_callback.
Idioma del texto original: inglés
Generates a standard Dockerfile that includes both Python and Node.js environments for AI agents.
Idioma del texto original: inglés
Automates the generation of Terraform files for a secure Cloud Run deployment of an AI agent.
Idioma del texto original: inglés
Assists developers in collecting and structuring a library of diverse examples ("Golden Dataset") required for data-driven evaluation, including tool trajectories.
Idioma del texto original: inglés
Configures Model Armor security policies (Prompt Injection, Jailbreak, RAI filters).
Idioma del texto original: inglés
Implements the "Defense-in-Depth" integration pattern in Python (intercepting prompts, parsing filter results).
Idioma del texto original: inglés
Standardizes the creation of Sensitive Data Protection (DLP) templates for PII and credential redaction.
Idioma del texto original: inglés
Implements the "in-memory only" secret pattern for Google Cloud production agents.
Idioma del texto original: inglés
Scaffolds the McpToolset connection logic for standard servers (Reddit, Google Docs) or custom local Python scripts.
Idioma del texto original: inglés
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 del texto original: inglés
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 del texto original: inglés
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 del texto original: inglés
Expert in Go project scaffolding, standard layout compliance, and dependency management. Activates for "new project", "structure", "layout".
Idioma del texto original: inglés
Specialist in implementing robust HTTP services and APIs in Go. Activates for "endpoint", "handler", "API", "server".
Idioma del texto original: inglés
Expert code reviewer focusing on idiomatic Go, concurrency safety, and clean code principles. Activates for "review", "idiomatic", "refactor".
Idioma del texto original: inglés
Expert in Go testing patterns, table-driven tests, httptest, benchmarking, and fuzzing. Activates for "test", "fail", "benchmark", "debug", "fuzz".
Idioma del texto original: inglés