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Found 82 Skills
Scaffold a new Metabase data-app into the connected remote-sync repository's `data_apps/<app>/` directory from the `data-app-template`. Use when the user asks to start, create, scaffold, or set up a data-app from scratch.
Professional HarmonyOS project scaffolding and environment verification. Initialize Standard ArkTS or Native C++ templates.
Scaffold production-ready React Native apps using the @codewithbeto/ship CLI. Use when the user wants to create a new app from a Code with Beto template, scaffold a project with Platano, or run `bunx @codewithbeto/ship`. Always use flag-based (non-interactive) mode — the interactive TUI requires a terminal.
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.
Single entry point for one-shot, end-to-end DatoCMS project setup orchestration — the only skill that bundles prerequisites, chains related recipes, and takes a greenfield or partially configured project to a working state in one pass. Covers five setup lanes: (1) frontend foundation (bootstrap a new Next.js/Nuxt/SvelteKit/Astro integration from scratch); (2) frontend features (draft mode, visual editing, web previews, content link, real-time updates, responsive images, SEO, robots/sitemaps, site search, revalidation/cache tags — applied together with their prerequisites); (3) migrations (CLI profiles, baseline migrations, shared histories, release workflow, sandbox reset loops, diff-based generation); (4) onboarding imports (WordPress, Contentful — content plus assets); (5) platform automation (CMA scripting patterns and project-level automation). Use when the user wants a named outcome scaffolded in full rather than a single file patched, when multiple related features need to land together (e.g. "set up visual editing" implies draft mode + content link + web previews), or when the request is a broad "set up X" that needs routing to the smallest matching recipe bundle.
Structure and organize Dagster code locations using dg. Use this skill when creating or migrating code locations, placing assets or sensors in the correct location, scaffolding new dg projects, or setting up the dg_projects/ workspace layout.
Python project scaffolding and development with modern tooling. Use when creating new Python projects, setting up virtual environments, configuring dependencies, or working with Flask web applications. Triggers on mentions of Python setup, uv, Flask, pytest, or project initialization.
Use when scaffolding a new Nuxt 4 project with standard config files (prettier, eslint, gitignore, husky, vitest, tsconfig, sops) and bun scripts.
Decide where files live in an ML experimentation project: reusable code in `src/<pkg>/`, one `# %%` script per experiment in `experiments/`, design notes + index in `journal/`, reports in `reports/`, agent-only probes in `scratch/`, narrative digest in `overview/summary.md`. Owns the layout, the file-creation rules (one file per experiment, ask before editing), and the jupytext `# %%` script convention. Never imposes `data/` — the user owns that. TRIGGER — any of: - Starting a new ML project / scaffolding a workspace. - About to create the first experiment file in a project. - About to create `src/<pkg>/data.py` / `features.py` / `pipeline.py` / `evaluate.py` for the first time. - About to write a `.ipynb` for experimentation — redirect to a `# %%` script under `experiments/`. - User asks where something should live, how to organize the project, or how to set up the workspace. - About to add a new experiment iteration — decide new file vs edit existing (ask the user). SKIP when: the file is clearly part of an already-populated module (e.g., adding a function to existing `features.py`); pure refactor inside a single existing file; pipeline declaration mechanics (`build-ml-pipeline`); evaluation mechanics (`evaluate-ml-pipeline`); skore symbol lookup (`python-api`). HOW TO USE: **first run the Detection table** below — if any signal matches, glue to existing conventions (do not rename or move folders). If no signal matches, scaffold the default layout. **Emit the Pre-flight checklist as visible text and read the Stop conditions before any file is created or edited.** Use templates in `templates/`; copy and adapt, do not rewrite from scratch.
HyperFrames CLI tool — hyperframes init, lint, preview, render, transcribe, tts, doctor, browser, info, upgrade, compositions, docs, benchmark. Use when scaffolding a project, linting or validating compositions, previewing in the studio, rendering to video, transcribing audio, generating TTS, or troubleshooting the HyperFrames environment.
Initialize Python Project (New or Fork). Use when the user wants to create a new production-ready Python/ML project structure, or fork and enhance an existing project. Uses uv for environment management.
Usage specifications for the Zerone CLI toolset. It covers four core functions: API interface code generation (zerone api), font icon management (zerone font_grabber), frontend project scaffolding (create-zerone), and work log generation (zerone log). This skill should be used in the following scenarios: generating API modules, generating interface code, updating interfaces, pnpm api, adding backend interface modules, iconfont font icons, updating icons, pnpm font, icon usage, creating frontend projects, pnpm create zerone, scaffolding initialization, daily work reports, weekly reports, monthly reports, zerone log. It should even be triggered when the user only mentions keywords such as "interface", "icon", "new project", "daily/weekly report".