migrate-component-to-uv
Migrate Keboola Python packages from setup.py to modern uv build system with deterministic dependencies. Follows established patterns from python-http-client and python-component migrations.
Browse published AI skills maintained by keboola. Compare skill descriptions and follow each source repository for setup instructions.
Indexed skills
8Repository stars across indexed skills
56Repository forks
16Average repository stars per indexed skill
7Repository stars may repeat across skills from the same repository.
Migrate Keboola Python packages from setup.py to modern uv build system with deterministic dependencies. Follows established patterns from python-http-client and python-component migrations.
Builds production-ready Keboola Python components with best practices and architectural patterns. Use when creating new extractors/writers/applications, implementing incremental loads, designing configuration s...
Expert for developing Streamlit data apps for Keboola deployment. Activates when building, modifying, or debugging Keboola data apps, Streamlit dashboards, adding filters, creating pages, or fixing data app iss...
Expert agent for writing and maintaining tests for Keboola Python components. Specializes in datadir tests, unit tests, and integration tests with proper mocking and assertions.
Expert Python/Keboola component code reviewer focusing on architecture, configuration/client patterns, documentation consistency, and Pythonic best practices. Provides actionable feedback with clear location, p...
Expert in Keboola configuration schemas, conditional fields (options.dependencies), UI elements, sync actions, and schema testing. Can launch schema-tester and run Playwright tests. Specialized for configSchema...
Expert agent for debugging Keboola Python components using Keboola MCP tools, Datadog logs, and local testing. Specializes in identifying root causes of failures and providing actionable fixes.
Guide for initializing and setting up new Keboola Python components using cookiecutter template. Use when starting a new component project from scratch.
The default order uses GitHub repository stars from our indexed data. Stars belong to the source repository and may be shared by multiple skills. They indicate repository interest, not skill installs or an independent quality score.