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.
原文の言語: 英語
このリポジトリの skills
SkillsMP は GoogleCloudPlatform/devrel-demos から 68 件の skill を収集しています。skill を開くとソースと詳細を確認できます。
GoogleCloudPlatform/devrel-demos収集済み skill 68 件中 28 件を表示しています。
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.
原文の言語: 英語
Reads API_Contracts.md and generates failing Vitest integration tests for the expected Next.js Route Handlers. Use when generating API tests for TDD.
原文の言語: 英語
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.
原文の言語: 英語
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.
原文の言語: 英語
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.
原文の言語: 英語
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.
原文の言語: 英語
Installs and configures Vitest for a modern Next.js Application. Use this for setting up the environment to run Vitest.
原文の言語: 英語
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.
原文の言語: 英語
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.
原文の言語: 英語
Provides templates for configuring Vertex AI Gen AI Evaluation metrics like GROUNDING, TOOL_USE_QUALITY, and ResponseMatch for specific agent domains.
原文の言語: 英語
Implements the "Dark Canary" pattern for Cloud Run, allowing agents to be evaluated in production without serving user traffic.
原文の言語: 英語
Provides custom Python metrics for configuring Vertex AI Gen AI Evaluation to measure Trajectory Precision, Recall, and Order Match.
原文の言語: 英語
Helps developers implement the long-term memory layer by providing the boilerplate code for the VertexAiMemoryBankService and the save_session_to_memory_callback.
原文の言語: 英語
Generates a standard Dockerfile that includes both Python and Node.js environments for AI agents.
原文の言語: 英語
Automates the generation of Terraform files for a secure Cloud Run deployment of an AI agent.
原文の言語: 英語
Assists developers in collecting and structuring a library of diverse examples ("Golden Dataset") required for data-driven evaluation, including tool trajectories.
原文の言語: 英語
Configures Model Armor security policies (Prompt Injection, Jailbreak, RAI filters).
原文の言語: 英語
Implements the "Defense-in-Depth" integration pattern in Python (intercepting prompts, parsing filter results).
原文の言語: 英語
Standardizes the creation of Sensitive Data Protection (DLP) templates for PII and credential redaction.
原文の言語: 英語
Implements the "in-memory only" secret pattern for Google Cloud production agents.
原文の言語: 英語
Scaffolds the McpToolset connection logic for standard servers (Reddit, Google Docs) or custom local Python scripts.
原文の言語: 英語
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.
原文の言語: 英語
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.
原文の言語: 英語
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…
原文の言語: 英語
Expert in Go project scaffolding, standard layout compliance, and dependency management. Activates for "new project", "structure", "layout".
原文の言語: 英語
Specialist in implementing robust HTTP services and APIs in Go. Activates for "endpoint", "handler", "API", "server".
原文の言語: 英語
Expert code reviewer focusing on idiomatic Go, concurrency safety, and clean code principles. Activates for "review", "idiomatic", "refactor".
原文の言語: 英語
Expert in Go testing patterns, table-driven tests, httptest, benchmarking, and fuzzing. Activates for "test", "fail", "benchmark", "debug", "fuzz".
原文の言語: 英語