devrel-demos

Enforces data governance by verifying Knowledge Catalog Aspects before recommending BigQuery tables.

Ensures the game has a fun easter egg that turns the screen black and white, sepia or gameboy monotone colours. Use when creating or modifying a game.

Ensures platformer games have polished movement, responsive controls, and balanced jump mechanics. Use ONLY when the game type is "platformer".

Guides 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.

Arcade game must have a retro asthetic. Use when creating or modifying a game to ensure that the game looks retro and maintains a consistent look and feel with all games.

Game will always use the same control scheme/buttons and mapping of the gamepad and keyboard. Use when creating or modifying a game.

Helps the user make or modify a game. Use when the user wants to create a new game or modify an existing one.

Ensures games created have a good quality user experience and follow best practices. Use when creating or modifying a game.

Ensures games created have a lose condition and send a message to the parent iframe in a standardized manner. Use when creating or modifying a game.

Starts the local Vite server for the game and loads the game into a Chrome browser so the user can play it. Use when the user wants to test changes or play the game.

Focuses on on-demand recipe and detailed instructions for baking a perfect banana bread, including ingredient ratios, step-by-step baking workflow, and kitchen tools.

Focuses on on-demand recipe and detailed instructions for baking delicious cheese bread (Pão de Queijo style or similar), detailing ingredient ratios, baking temperature, and step-by-step techniques.

Ultra-conservative preservation and restoration of sketches and line art.

Restoration protocol for fine art paintings.

Ultra-conservative preservation and restoration of historical and modern photographs.

Enforces a strict, turn-based TDD ping-pong cycle by defining and orchestrating two specialized subagents (Player One and Player Two).

Compares a modernized Next.js application against its legacy Express counterpart using runtime side-by-side verification. Use when ensuring functional and business logic parity between two systems.

Manages the end-to-end modernization of legacy Express monoliths into Next.js architectures. Orchestrates subagents for auditing, scaffolding, and verification. Use when starting or managing a greenfield rewrite project.

Systematically probe a modernized Next.js application for logic flaws, security vulnerabilities, or missing features. Use this to find bugs or cases where the migration failed to match legacy behavior.

Analyzes Express route definitions and controller logic to document API endpoints, payloads, and response structures. Use when reverse-engineering an existing Express application's API surface.

Analyzes authentication flows, authorization rules, middleware logic, and side-effects. Use when extracting business rules, Passport configurations, or mailer logic from an Express application.

Analyzes legacy ORM models (Mongoose, Sequelize) to extract schemas, validations, and relationships. Use when reverse-engineering a legacy data layer for a modern rewrite.

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.

Reads API_Contracts.md and generates failing Vitest integration tests for the expected Next.js Route Handlers. Use when generating API tests for TDD.

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.

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.

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.

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.

Installs and configures Vitest for a modern Next.js Application. Use this for setting up the environment to run Vitest.

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.

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.

Provides templates for configuring Vertex AI Gen AI Evaluation metrics like GROUNDING, TOOL_USE_QUALITY, and ResponseMatch for specific agent domains.

Implements the "Dark Canary" pattern for Cloud Run, allowing agents to be evaluated in production without serving user traffic.

Provides custom Python metrics for configuring Vertex AI Gen AI Evaluation to measure Trajectory Precision, Recall, and Order Match.

Helps developers implement the long-term memory layer by providing the boilerplate code for the VertexAiMemoryBankService and the save_session_to_memory_callback.

Generates a standard Dockerfile that includes both Python and Node.js environments for AI agents.

Automates the generation of Terraform files for a secure Cloud Run deployment of an AI agent.

Assists developers in collecting and structuring a library of diverse examples ("Golden Dataset") required for data-driven evaluation, including tool trajectories.

Configures Model Armor security policies (Prompt Injection, Jailbreak, RAI filters).

Implements the "Defense-in-Depth" integration pattern in Python (intercepting prompts, parsing filter results).