Skills dans ce dépôt
SkillsMP a collecté 68 skills depuis GoogleCloudPlatform/devrel-demos. Ouvrez un skill pour examiner sa source et ses détails.
GoogleCloudPlatform/devrel-demosAffichage de 28 skills collectés sur 68.
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.
Langue du texte source : anglais
Reads API_Contracts.md and generates failing Vitest integration tests for the expected Next.js Route Handlers. Use when generating API tests for TDD.
Langue du texte source : anglais
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.
Langue du texte source : anglais
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.
Langue du texte source : anglais
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.
Langue du texte source : anglais
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.
Langue du texte source : anglais
Installs and configures Vitest for a modern Next.js Application. Use this for setting up the environment to run Vitest.
Langue du texte source : anglais
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.
Langue du texte source : anglais
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.
Langue du texte source : anglais
Provides templates for configuring Vertex AI Gen AI Evaluation metrics like GROUNDING, TOOL_USE_QUALITY, and ResponseMatch for specific agent domains.
Langue du texte source : anglais
Implements the "Dark Canary" pattern for Cloud Run, allowing agents to be evaluated in production without serving user traffic.
Langue du texte source : anglais
Provides custom Python metrics for configuring Vertex AI Gen AI Evaluation to measure Trajectory Precision, Recall, and Order Match.
Langue du texte source : anglais
Helps developers implement the long-term memory layer by providing the boilerplate code for the VertexAiMemoryBankService and the save_session_to_memory_callback.
Langue du texte source : anglais
Generates a standard Dockerfile that includes both Python and Node.js environments for AI agents.
Langue du texte source : anglais
Automates the generation of Terraform files for a secure Cloud Run deployment of an AI agent.
Langue du texte source : anglais
Assists developers in collecting and structuring a library of diverse examples ("Golden Dataset") required for data-driven evaluation, including tool trajectories.
Langue du texte source : anglais
Configures Model Armor security policies (Prompt Injection, Jailbreak, RAI filters).
Langue du texte source : anglais
Implements the "Defense-in-Depth" integration pattern in Python (intercepting prompts, parsing filter results).
Langue du texte source : anglais
Standardizes the creation of Sensitive Data Protection (DLP) templates for PII and credential redaction.
Langue du texte source : anglais
Implements the "in-memory only" secret pattern for Google Cloud production agents.
Langue du texte source : anglais
Scaffolds the McpToolset connection logic for standard servers (Reddit, Google Docs) or custom local Python scripts.
Langue du texte source : anglais
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.
Langue du texte source : anglais
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.
Langue du texte source : anglais
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…
Langue du texte source : anglais
Expert in Go project scaffolding, standard layout compliance, and dependency management. Activates for "new project", "structure", "layout".
Langue du texte source : anglais
Specialist in implementing robust HTTP services and APIs in Go. Activates for "endpoint", "handler", "API", "server".
Langue du texte source : anglais
Expert code reviewer focusing on idiomatic Go, concurrency safety, and clean code principles. Activates for "review", "idiomatic", "refactor".
Langue du texte source : anglais
Expert in Go testing patterns, table-driven tests, httptest, benchmarking, and fuzzing. Activates for "test", "fail", "benchmark", "debug", "fuzz".
Langue du texte source : anglais