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framework-migration-code-migrate
You are a code migration expert specializing in transitioning codebases between frameworks, languages, versions, and platforms. Generate comprehensive migration plans, automated migration scripts, and
azure-mgmt-apimanagement-py
Azure API Management SDK for Python. Use for managing APIM services, APIs, products, subscriptions, and policies.
fal-platform
Platform APIs for model management, pricing, and usage tracking.
firebase-development
This skill is for Firebase projects, covering initialization, adding Cloud Functions or Firestore collections, debugging emulators, and reviewing code. It triggers on terms like firebase, firestore, cloud functions, emulator, firebase auth, deploy to firebase, and firestore rules.
game-art
Game art principles. Visual style selection, asset pipeline, animation workflow.
game-development
Game development orchestrator. Routes to platform-specific skills based on project needs.
fundamentals-gate
Verify code quality standards are met - naming, structure, DRY principles. Issues result in SUGGESTIONS for improvement.
gcloud
Google Cloud Platform CLI - manage GCP resources including Compute Engine, Cloud Run, GKE, Cloud Functions, Storage, BigQuery, and more.
gcp-cloud-run
Specialized skill for building production-ready serverless applications on GCP. Covers Cloud Run services (containerized), Cloud Run Functions (event-driven), cold start optimization, and event-driven architecture with Pub/Sub.
azure-microsoft-playwright-testing-ts
Run Playwright tests at scale using Azure Playwright Workspaces (formerly Microsoft Playwright Testing). Use when scaling browser tests across cloud-hosted browsers, integrating with CI/CD pipelines, or publishing test results to the Azure portal.
get-available-resources
This skill should be used at the start of any computationally intensive scientific task to detect and report available system resources (CPU cores, GPUs, memory, disk space). It creates a JSON file with resource information and strategic recommendations that inform computational approach decisions such as whether to use parallel processing (joblib, multiprocessing), out-of-core computing (Dask, Za
genkit
Build production-ready AI workflows using Firebase Genkit. Use when creating flows, tool-calling agents, RAG pipelines, multi-agent systems, or deploying AI to Firebase/Cloud Run. Supports TypeScript, Go, and Python with Gemini, OpenAI, Anthropic, Ollama, and Vertex AI plugins.