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Found 82 Skills
Project scaffolding CLI with 30+ integrations, custom templates, and MCP server for AI agents.
Scaffold a new project with Next.js, GSD, skills, Linear integration, and MCP config
Create or initialize a durable writing home with VOICE.md, STYLE.md, examples/, and drafts/. Use when Scribe identifies a first-time writer with no established writing context after resolving the target, or when the user explicitly asks to set up, scaffold, initialize, or migrate a self-contained writing folder.
Scaffolds new projects with best practices (CI/CD, Tests, Linting) pre-configured. Ensures a "healthy" starting point for Next.js, FastAPI, Node.js, and more.
Use for the CopilotKit CLI — `npx copilotkit@latest`. Covers proving a project's wiring with `verify` before debugging anything by hand, scaffolding with `create`, signing in and selecting a hosted Intelligence project, agent-assisted onboarding of an existing app, generating type-safe agent ids, and importing thread history. Reach for `verify` first whenever a CopilotKit app is not working.
Main entry point when starting work in a new repo, right after `skilly setup`. Drives the workflow setup skills in order, then the tech-stack bundles. Use when the user wants to set up a new project or repo.
Create a complete custom BTI personality test (like LBTI, FBTI, etc.) based on the XBTI architecture. User provides a theme name and preferences, AI generates all content: dimensions, questions, personality types, descriptions, and avatar images via lovstudio:image-creator. Trigger when user says "创建BTI", "自定义人格测试", "make a BTI", "custom personality test", "XBTI变体", "xbti-creator", or mentions creating something like LBTI/FBTI/etc.
Scaffolds the up-api .NET 10 Web API project from the default template. Adds CORS (allow all origins). CRUD drill Day 1 step 1. Trigger: 'day1 step1', 'create up-api'.
Guidance for Tauri v2 project scaffolding with create-tauri-app, project structure, and frontend static export configuration.
Start a new framefields video project, or add framefields to an existing Node.js project. Use when the user wants to make a video with framefields and the project has no framefields setup yet, or asks how to install framefields, scaffold a composition and render script, or get from an empty folder to a first MP4. Hands off to framefields-compose, framefields-effects, and framefields-render for the details.