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Found 11,895 Skills
Specifies the preferred syntax for asynchronous operations using async/await and onMount for component initialization. This results in cleaner and more readable asynchronous code.
This rule enforces the Don't Repeat Yourself principle to avoid code duplication and improve maintainability.
Docker Compose container orchestration and management. Manage multi-container applications, services, networks, and volumes. Use for local development, testing, and orchestration of containerized applications.
Reading and writing data with Pandas from/to cloud storage (S3, GCS, Azure) using fsspec and PyArrow filesystems.
MoonBit (.mbt) coding standards and best practices. Use when writing, reviewing, or refactoring MoonBit code.
Exploratory Data Analysis (EDA): profiling, visualization, correlation analysis, and data quality checks. Use when understanding dataset structure, distributions, relationships, or preparing for feature engineering and modeling.
Create a git commit following the Conventional Commits specification.
Search and manage Jira issues using JQL queries, create/update issues, and manage workflows. Use when working with Jira project management.
Review and delivery persona for PR quality management and progress tracking in the SWE workflow.
File management skill. Used for creating, moving, copying, deleting files and folders, and organizing directory structures. It is applicable when users need to manage files, organize folders, or process files in batches.
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".
GitHub CLI workflows for repositories, issues, pull requests, actions, releases, projects, and API calls. Use when creating PRs, reviewing code, triaging issues, triggering workflows, publishing releases, managing projects, verifying attestations, or querying the GitHub API. Use for gh cli, github automation, code review, release management.