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Found 70 Skills
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.
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.
Make all tech decisions, write CLAUDE.md, scaffold the project, and get a smoke test passing. Run after /wireframe.
Initialize and configure new Python projects with uv, including creating projects, setting up pyproject.toml, managing dependency groups, and pinning Python versions. Use when starting new projects, configuring development environments, or standardizing project structure with uv. Covers `uv init`, `uv add`, `uv python pin`, and initial project scaffolding with proper dependency organization.
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.
[Pragmatic DDD Architecture] Interactive guide for scaffolding and bootstrapping a new project or module from scratch. Use this skill when the user asks to start a new project or add a massive new feature. It instructs the agent to run an assessment wizard, define the PRD, evaluate serverless tech, and set up the foundation.
Build, test, and manage Xcode projects and Swift packages. Use when the user mentions Xcode, iOS/macOS app development, simulators, Swift packages, or needs to build/test Apple platform apps. Triggers on "build", "run", "test", "simulator", "xcodebuild", "swift package", "iOS app", "macOS app".
Bootstrap new Python projects: directory structure, pyproject.toml, pre-commit, uv sync. Use when creating a new project from scratch.
Scaffold a new project with Next.js, GSD, skills, Linear integration, and MCP config
Use when working with the Commet CLI -- logging in, linking projects, pulling types for autocomplete, scaffolding new projects from templates (fixed, seats, metered, credits, balance-ai, balance-fixed), or managing organizations.
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.
Use when the user says 'build me an app', 'create a project from this spec', 'scaffold a new repo', 'generate a starter', 'turn this idea into code', 'bootstrap a project', 'I have requirements and need a codebase', or provides a natural-language project specification and expects a complete, runnable repository. Stack-agnostic: Next.js, FastAPI, Rails, Go, Rust, Flutter, and more.