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Found 1,224 Skills
Build browser automation scripts using the Kernel Python SDK with Playwright and remote browser management.
Process videos with the VideoDB Python SDK. Handles trimming, combining clips, audio overlays, background music, subtitles, transcription, voiceover, text/image overlays, transcoding, resolution change, aspect-ratio fix, resizing for social platforms, media generation, search, and real-time capture — all server-side with no ffmpeg or local encoding tools needed.
Manages Python CLI tools with uv. Learn when to use uvx for temporary execution, uv tool install for persistent tools, and how to differentiate between tool dependencies and project dependencies. Includes version management, listing, cleanup, and scenarios for running tools with specific Python versions.
Manages Python project dependencies with uv. Learn how to add, remove, and updates dependencies, organize them into groups (dev, test, lint, docs), pin versions, handle conflicts, and manages lock files for reproducible installations across environments. Use when adding or updating packages, organizing development dependencies, resolving version conflicts, or managing lock files in CI/CD pipelines.
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.
Debugs and resolves common uv issues. Learn to diagnose dependency resolution failures, handle version conflicts, fix cache problems, troubleshoot Python environment issues, optimize performance, and solve platform-specific problems. Use when uv commands fail, dependencies won't resolve, cache is corrupted, Python installation issues occur, or performance is slow.
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.
Provides Complete patterns for testing async Python code with pytest: pytest-asyncio configuration, AsyncMock usage, async fixtures, testing FastAPI with AsyncClient, testing Kafka async producers/consumers, event loop and cleanup patterns. Use when: Testing async functions, async use cases, FastAPI endpoints, async database operations, Kafka async clients, or any async/await code patterns.
Creates animated GIFs optimized for Slack with proper dimensions (128x128 emoji, 480x480 message), FPS control, color optimization, and file size constraints. Use when asked to "make a GIF for Slack", "create an animated emoji", "design a Slack GIF", or "animate this for Slack". Provides GIFBuilder utilities, frame management, color palette reduction, and validation tools ensuring GIFs meet Slack requirements. Works with Python Pillow (PIL) for frame generation, color quantization, and GIF export with FPS 10-30 and duration under 3 seconds for emoji.
Systematic resolution of pyright/mypy type errors with categorization and fix templates. Use when pyright fails, type errors are reported, adding type annotations, or enforcing type safety. Analyzes Python type errors, categorizes them (missing annotations, incorrect types, generic issues, Optional/None handling), and applies fix patterns. Works with .py files and pyright output.
Verifies that implemented code is actually integrated into the system and executes at runtime, preventing "done but not integrated" failures. Use when marking features complete, before moving ADRs to completed status, after implementing new modules/nodes/services, or when claiming "feature works". Triggers on "verify implementation", "is this integrated", "check if code is wired", "prove it runs", or before declaring work complete. Works with Python modules, LangGraph nodes, CLI commands, API endpoints, and service classes. Enforces Creation-Connection-Verification (CCV) principle.
Sets up async tests with proper fixtures and mocks using pytest-asyncio patterns. Use when testing async functions, creating async fixtures, mocking async services, or handling async context managers. Covers @pytest_asyncio.fixture, AsyncMock with side_effect, async generator fixtures (yield), and testing async context managers. Works with Python async/await patterns, pytest-asyncio, and unittest.mock.AsyncMock.