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Found 184 Skills
Organize and clean up scripts and dependencies in package.json. Use this for requests such as 'I want to clean up package.json', 'I want to organize scripts', or 'I want to remove unused dependencies'. Specifically, it targets the following: (1) Delete or integrate redundant scripts (aliases/passthroughs), (2) Explicitize implicit lifecycle hooks (pre/post), (3) Unify script naming conventions, (4) Detect and remove unused dependency packages, (5) Update documents and CI following script name changes, (6) Regenerate lock files after removing dependencies.
Use this skill when the user wants to manage Python projects, virtual environments, or dependencies using uv, including creating venvs, installing packages, syncing environments, or running Python tools.
Use when working with Python projects that use uv for dependency management, virtual environments, project initialization, or package publishing. Covers setup, workflows, and best practices for uv-based projects.
Effect-TS (Effect) guidance for TypeScript. Use when building, refactoring, reviewing, or explaining Effect code, especially for: typed error modeling (expected errors vs defects), Context/Layer/Effect.Service dependency wiring, Scope/resource lifecycles, runtime execution boundaries, schema-based decoding, concurrency/scheduling/streams, @effect/platform APIs, Effect AI workflows, and Promise/async migration.
Convert project plans to JSONL format (issues + dependencies). Use when users ask "convert plan to jsonl", "create jsonl from plan", "export plan as json" or "convert plan to taks", "create tasks from plan", "export plan as tasks".
Modern Python development with uv, the fast Python package and project manager. Covers project management (uv init, uv add, uv sync, uv lock), virtual environments, Python version management (uv python install/pin), script runners (uv run), tool management (uvx), workspace support for monorepos, and publishing to PyPI. Includes Python patterns for FastAPI, Pydantic, async/await, type checking, pytest, structlog, and CLI tools. Use when initializing Python projects, managing dependencies with uv, configuring pyproject.toml, setting up virtual environments, running scripts, managing Python versions, building monorepos with workspaces, containerizing Python apps, or writing modern Python with type hints.
This skill generates a structured chapter outline for intelligent textbooks by analyzing course descriptions, learning graphs, and concept dependencies. Use this skill after the learning graph has been created and before generating chapter content, to design an optimal chapter structure that respects concept dependencies and distributes content evenly across all of the chapter in a book.
Python single-file script development using uv and PEP 723 inline metadata. Prevents invalid patterns like [tool.uv.metadata]. Use when creating standalone Python utilities, converting scripts to uv format, managing script dependencies, implementing script testing, or establishing team standards for script development.
Dependency management and auditing — evaluating new dependencies, security vulnerability scanning, update strategies, and license compliance. Use when adding or auditing dependencies.
Understand when to use npm package names vs control file names in pgpm modules. Use when creating .control files, writing SQL requires statements, running pgpm install, or referencing dependencies between modules.
Coordinate Claude Code Agent Teams through filesystem-based protocol. Use when orchestrating multiple Claude agents on parallel tasks, need task dependency management, multi-agent code review or implementation. Do not use when single-agent work suffices, task is not parallelizable.
Before running Python scripts or installing packages, check for existing virtual environments and reuse them if found. If no virtual environment exists, ask the user to choose: (1) Create new venv in current directory (recommended), (2) Use system Python directly, or (3) Create venv at custom path. This applies to: running .py files, using pip/uv pip install, or any task requiring third-party packages. Exceptions: simple one-liners using only Python standard library.