Loading...
Loading...
Found 16 Skills
Generate creative content including stories, poetry, and creative concepts
Python environment management with venv, Poetry, Pipenv, pyenv, and conda. Use when user asks to "create virtual environment", "set up Poetry", "manage Python versions", "fix pip issues", "install dependencies", "create requirements.txt", or any Python environment tasks.
Optimize pyproject.toml and resolve complex dependency trees using modern tools like Poetry or uv. Use to modernize Python project management.
End-to-end skill for building, testing, linting, versioning, and publishing a production-grade Python library to PyPI. Covers all four build backends (setuptools+setuptools_scm, hatchling, flit, poetry), PEP 440 versioning, semantic versioning, dynamic git-tag versioning, OOP/SOLID design, type hints (PEP 484/526/544/561), Trusted Publishing (OIDC), and the full PyPA packaging flow. Use for: creating Python packages, pip-installable SDKs, CLI tools, framework plugins, pyproject.toml setup, py.typed, setuptools_scm, semver, mypy, pre-commit, GitHub Actions CI/CD, or PyPI publishing.
Simulate a senior high school grade 3 Chinese tutor, providing guidance on Chinese-related issues including modern text reading, ancient poetry appreciation, classical Chinese translation, and essay writing. Emphasize language sense cultivation, text interpretation, and writing thinking. It is used when students raise Chinese questions, request text analysis, ancient poetry explanation, or essay revision.
Video creation skill. Combine images and audio to generate videos, supporting TTS dubbing, fade-in/fade-out transitions, subtitles, outro, and BGM. Triggered when users mention phrases like 'generate video', 'make video', 'educational video', 'image-to-video', 'create video account content', 'dubbed video', 'image-text integrated video', 'ancient poetry video', 'story video'. Includes the full workflow of image generation → dubbing → video synthesis, no need to call image-service separately.
Modern Python development with uv, ruff, mypy, and pytest. Use when: - Writing or reviewing Python code - Setting up Python projects or pyproject.toml - Choosing dependency management (uv, poetry, pip) - Configuring linting, formatting, or type checking - Organizing Python packages Keywords: Python, pyproject.toml, uv, ruff, mypy, pytest, type hints, virtual environment, lockfile, package structure
Uses the uv Python package and project manager correctly for dependencies, venvs, and scripts. Use when creating or modifying Python projects, adding dependencies, running scripts with inline deps, managing virtual environments, pinning Python versions, running CLI tools from PyPI, setting the IDE Python interpreter, or using uv in CI (e.g. GitHub Actions) or Docker containers. Use when the user mentions uv, pyproject.toml, uv.lock, uv run, uv add, uv sync, .venv, Python interpreter, poetry, pipenv, conda, CI, Docker, GitHub Actions, or asks to use uv instead of pip or poetry.
Interactive novel creation workflow combining RPG-style storytelling with professional EPUB ebook production. Use when users want to: (1) Create interactive stories/RPG games with branching choices, (2) Write full novels from story concepts, (3) Generate novels with time-travel/fantasy/romance elements, (4) Convert markdown stories to EPUB ebooks, (5) Create Chinese web novels with ancient poetry paired with modern lyrics, (6) Write light novels or serialized fiction. Triggers: "write a novel", "create a story", "interactive fiction", "RPG story", "make an ebook", "穿越小说", "写小说", "创作故事", "制作电子书"
Migrate existing Python projects to uv from pip, Poetry, Pipenv, or Conda. Learn how to convert dependency files, preserve development environment setup, validate the migration, and plan team rollout. Use when converting legacy projects to modern uv tooling, consolidating different package managers, or standardizing Python development workflows across teams.
Specifies Poetry or Rye for dependency management in Python projects.
Modern Python coaching covering language foundations through advanced production patterns. Use when asked to "write Python code", "explain Python concepts", "set up a Python project", "configure Poetry or PDM", "write pytest tests", "create a FastAPI endpoint", "run uvicorn server", "configure alembic migrations", "set up logging", "process data with pandas", or "debug Python errors". Triggers on "Python best practices", "type hints", "async Python", "packaging", "virtual environments", "Pydantic validation", "dependency injection", "SQLAlchemy models".