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Found 74 Skills
Use this skill when scaffolding a new PixiJS v8 project with the create-pixi CLI or adding PixiJS to an existing project. Covers npm/yarn/pnpm/bun create commands, interactive vs non-interactive flows, bundler vs creation template categories, available template presets (bundler-vite, bundler-webpack, bundler-esbuild, bundler-import-map, creation-web, framework-react, extension-default), Node version requirements, `npm install pixi.js` for existing projects, post-scaffold dev flow, and the Vite top-level-await production-build gotcha. Triggers on: create pixi.js, npm create, npm install pixi.js, scaffold, template, bundler-vite, bundler-webpack, creation-web, framework-react, new project, existing project, getting started, quick start.
Comprehensive fullstack development skill for building complete web applications with React, Next.js, Node.js, GraphQL, and PostgreSQL. Includes project scaffolding, code quality analysis, architecture patterns, and complete tech stack guidance. Use when building new projects, analyzing code quality, implementing design patterns, or setting up development workflows.
Fullstack development toolkit with project scaffolding for Next.js/FastAPI/MERN/Django stacks and code quality analysis. Use when scaffolding new projects, analyzing codebase quality, or implementing fullstack architecture patterns.
Unified project scaffolder that works across all platforms. Scaffold .agent folders, backend (NestJS), frontend (NextJS), mobile (Expo), and browser extensions (Plasmo) with interactive prompts. Supports both monorepo and separate repository structures, and can add components to existing projects.
Autonomous polyglot monorepo bootstrap meta-prompt. TRIGGERS - new monorepo, polyglot setup, scaffold Python+Rust+Bun, monorepo from scratch.
Helps initialize and scaffold new projects based on Guany's personal preferences and starter templates. Use when the user asks to initialize, scaffold, or set up a new project, create a project from template, or start a new app. Actions: init, scaffold, setup, create, generate, start, new. Topics: starter, boilerplate, template, project setup, degit.
x402 paid API endpoints, inbox messaging, project scaffolding, and OpenRouter AI integration. Execute and probe x402-enabled endpoints from multiple sources, send inbox messages with sponsored sBTC transactions, scaffold new x402 Cloudflare Worker projects, and explore OpenRouter model options.
Scaffolds a new project repository for agentic development from a problem description, or sets up ops tooling (git, precommits, gitignore, licensing, CI) for an existing project. Guides the user through naming, runtime, package manager, devops, licensing, and project structure. Use when the user says "init project", "new project", "start a project", "scaffold repo", "create repo", or describes a problem they want to build a solution for.
Initialize and scaffold a new project with structured requirements gathering. Use when starting a project from scratch, after running a framework initializer (npm init, create-next-app, etc.), or when an existing minimal project needs proper structure, documentation, and conventions. Triggers on: 'bootstrap project', 'start new project', 'scaffold project', 'initialize project', 'setup new project', or when the user wants to go from zero to a well-structured project foundation.
Generates complete starter repositories for various tech stacks (Next.js, Vite, Nest, FastAPI, etc.) with best-practice conventions, folder structure, baseline code, configs, scripts, and setup documentation. Use when users request to "scaffold a project", "create a starter repo", "initialize a new project", or specify a tech stack to begin with.
Orchestrates complete project initialization by coordinating agent-folder-init, linter-formatter-init, husky-test-coverage, and other setup skills. Use this skill when starting a new project that needs full AI-first development infrastructure with code quality enforcement.
Scaffolds per-project agent context — creates a tailored AGENTS.md, a CLAUDE.md symlink, and an agent_docs/ directory so AI agents can work effectively in the repository.