googlecloudplatform/devrel-demos
52 skills · 316 total installs
$npx skills add googlecloudplatform/devrel-demosSkillInstalls
go-backend-devSpecialist in implementing robust HTTP services and APIs in Go. Activates for "endpoint", "handler", "API", "server".go-reviewerExpert code reviewer focusing on idiomatic Go, concurrency safety, and clean code principles. Activates for "review", "idiomatic", "refactor".go-architectExpert in Go project scaffolding, standard layout compliance, and dependency management. Activates for "new project", "structure", "layout".latest-software-versionReal-time source of truth for software and model versions. Activate when adding dependencies, installing packages, or identifying Gemini model names.go-test-expertExpert in Go testing patterns, table-driven tests, httptest, benchmarking, and fuzzing. Activates for "test", "fail", "benchmark", "debug", "fuzz".go-project-setupStandardized setup for new Go (Golang) projects and services. Activate to ensure clean, idiomatic project structures (Standard Layout) and implement…video-descriptionGenerates optimized descriptions for video platforms from transcripts and supplementary material.adk-memory-bank-initializerHelps developers implement the long-term memory layer by providing the boilerplate code for the VertexAiMemoryBankService and the…agent-containerizerGenerates a standard Dockerfile that includes both Python and Node.js environments for AI agents.cloud-run-agent-architectAutomates the generation of Terraform files for a secure Cloud Run deployment of an AI agent.gcp-agent-shadow-deployerImplements the "Dark Canary" pattern for Cloud Run, allowing agents to be evaluated in production without serving user traffic.gcp-agent-eval-engine-runnerBoilerplate for a production evaluation runner that performs parallel inference, captures reasoning traces via SSE, and integrates with the Vertex AI Gen AI…gcp-agent-eval-metric-configuratorProvides templates for configuring Vertex AI Gen AI Evaluation metrics like GROUNDING, TOOL_USE_QUALITY, and ResponseMatch for specific agent domains.gcp-agent-golden-dataset-builderAssists developers in collecting and structuring a library of diverse examples ("Golden Dataset") required for data-driven evaluation, including tool…gcp-agent-model-armor-shieldConfigures Model Armor security policies (Prompt Injection, Jailbreak, RAI filters).gcp-agent-safety-gatekeeperImplements the "Defense-in-Depth" integration pattern in Python (intercepting prompts, parsing filter results).gcp-agent-sdp-template-factoryStandardizes the creation of Sensitive Data Protection (DLP) templates for PII and credential redaction.gcp-agent-tool-trajectory-evaluatorProvides custom Python metrics for configuring Vertex AI Gen AI Evaluation to measure Trajectory Precision, Recall, and Order Match.gcp-production-secret-handlerImplements the "in-memory only" secret pattern for Google Cloud production agents.mcp-connector-generatorScaffolds the McpToolset connection logic for standard servers (Reddit, Google Docs) or custom local Python scripts.adversarial-verificationSystematically probe a modernized Next.js application for logic flaws, security vulnerabilities, or missing features.auditing-api-contractsAnalyzes Express route definitions and controller logic to document API endpoints, payloads, and response structures.auditing-business-logicAnalyzes authentication flows, authorization rules, middleware logic, and side-effects.auditing-data-modelsAnalyzes legacy ORM models (Mongoose, Sequelize) to extract schemas, validations, and relationships.auditing-parityCompares a modernized Next.js application against its legacy Express counterpart using runtime side-by-side verification.auditing-ui-archeologyAnalyzes legacy UI templates (Pug, EJS, HTML) to extract a comprehensive inventory of components, layouts, and conditional logic.generating-api-testsReads API_Contracts.md and generates failing Vitest integration tests for the expected Next.js Route Handlers. Use when generating API tests for TDD.generating-database-seederGenerates and executes a database seeder script to populate MongoDB with sample data based on modern Zod schemas.orchestrating-greenfield-migrationscaffolding-api-routesReads API_Contracts.md artifacts and rebuilds the legacy Express routes as modern Next.js Route Handlers or Server Actions.scaffolding-data-layerReads Data_Models.md artifacts and generates the equivalent modern ORM schema or native MongoDB/Zod layer.scaffolding-nextjs-foundationscaffolding-test-foundationInstalls and configures Vitest for a modern Next.js Application. Use this for setting up the environment to run Vitest.scaffolding-ui-and-pagesTranslates a UI_Component_Inventory.md artifact into modern ShadCN + Tailwind components AND fully scaffolded Next.js pages.adding-easter-eggbanana-breadbuilding-platformer-gamescheese-breadcreating-a-gameGuides the creation of a new game and is the high-level orchestrator skill that MUST be invoked first. Use when tasked with creating a new game.drawingsUltra-conservative preservation and restoration of sketches and line art.ensuring-arcade-visualshandling-user-inputGame will always use the same control scheme/buttons and mapping of the gamepad and keyboard. Use when creating or modifying a game.helping-the-userHelps the user make or modify a game. Use when the user wants to create a new game or modify an existing one.improving-game-qualityEnsures games created have a good quality user experience and follow best practices. Use when creating or modifying a game.knowledge-catalog-governanceEnforces data governance by verifying Knowledge Catalog Aspects before recommending BigQuery tables.messaging-game-overpaintingsRestoration protocol for fine art paintings.photographyUltra-conservative preservation and restoration of historical and modern photographs.ping-pong-pairingEnforces a strict, turn-based TDD ping-pong cycle by defining and orchestrating two specialized subagents (Player One and Player Two).playing-the-gameStarts the local Vite server for the game and loads the game into a Chrome browser so the user can play it.vercel-composition-patternsvercel-react-best-practices