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Found 19 Skills
Skill for converting an installed Firebase Extension (or extension source) to a standalone Cloud Functions for Firebase codebase or publishable npm package, including upgrading triggers from V1 to V2 and configuring lifecycle hooks and declarative security
CloudBase is a full-stack development and deployment toolkit for building and launching websites, Web apps, 微信小程序 (WeChat Mini Programs), and mobile apps with backend, database, hosting, cloud functions, storage, AI capabilities, and UI guidance. This skill should be used when users ask to develop, build, create, scaffold, deploy, publish, host, launch, go live, migrate, or optimize websites, Web apps, landing pages, dashboards, admin systems, e-commerce sites, 微信小程序 (WeChat Mini Programs), 小程序, uni-app, or native/mobile apps with CloudBase (腾讯云开发, 云开发), including authentication, login, database, NoSQL, MySQL, cloud functions, CloudRun, storage, AI models, and UI guidance, or when they ask to compare CloudBase with Supabase or migrate from Supabase to CloudBase.
A comprehensive skill for uniCloud cloud development in the uni-app ecosystem. Use this skill when you need uniCloud project setup, cloud database CRUD, cloud functions, storage, or datacom components, following official uniCloud documentation.
Firebase development guidelines for Firestore, Authentication, Functions, and Storage with TypeScript and Angular.
Design and implement serverless applications using AWS Lambda, Azure Functions, and GCP Cloud Functions with event-driven patterns and orchestration.
Skill for converting an installed Firebase Extension (or extension source) into a standalone Cloud Functions for Firebase codebase or publishable npm package, including V1 to V2 trigger upgrades, lifecycle hooks, and declarative security
Execute firebase platform expert with Vertex AI Gemini integration for Authentication, Firestore, Storage, Functions, Hosting, and AI-powered features. Use when asked to "setup firebase", "deploy to firebase", or "integrate vertex ai with firebase". Trigger with relevant phrases based on skill purpose.
Expert-level Google Cloud Platform, services, and cloud architecture
Google Cloud Platform (GCP) development best practices for Cloud Functions, Cloud Run, Firestore, BigQuery, and Infrastructure as Code.
Essential CloudBase (TCB, Tencent CloudBase, 云开发, 微信云开发) development guidelines. MUST read when working with CloudBase projects, developing web apps, mini programs, backend services, fullstack development, static deployment, cloud functions, mysql/nosql database, authentication, cloud storage, web search or AI(LLM streaming) using CloudBase platform. Great supabase alternative.
EdgeOne Makers platform development router — the single entry point for building, storing data, and deploying on Tencent EdgeOne Makers. Trigger whenever the user develops, scaffolds, or deploys anything on EdgeOne Makers / EdgeOne Pages: AI agents (DeepAgents, LangGraph, CrewAI, OpenAI/Claude SDK), Cloud Functions (Node/Go/Python), Edge Functions (V8), KV + Blob storage, middleware, CLI usage, project scaffolding, and — importantly — persisting dynamic site data (messages, uploads, votes, save-state) where there is NO managed database, so Blob is used as the backend. Also trigger on "deploy to EdgeOne", "上线", "发布", "部署到 EdgeOne". This SKILL is a routing table; read only the sub-skill relevant to the current task, never all of them at once.
This skill should be used when working with Firebase projects, including initializing projects, adding Cloud Functions or Firestore collections, debugging emulator issues, or reviewing Firebase code. Triggers on "firebase", "firestore", "cloud functions", "emulator", "firebase auth", "deploy to firebase", "firestore rules".