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keboola/ai-kit

Keboola prompt repository for sharing, co creating and improving AI agentic workloads. Both customer's and developers

12 skills
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debug-component

keboola/ai-kit

7
This skill acts as a Keboola Python component debugger, rapidly identifying root causes and delivering actionable fixes for failures.
keboola-config

keboola/ai-kit

7
Use this skill when working with Keboola project configurations, understanding JSON config files, editing transformations, or analyzing Keboola project structure. Triggers on questions about Keboola configs, transformations, orchestrations, extractors, writers, or .keboola directories.
build-component-ui

keboola/ai-kit

7
This skill helps you design Keboola configuration schemas with conditional fields, UI elements, and testing guidance to speed up schema development.
review-component

keboola/ai-kit

7
This skill analyzes Keboola Python components for architecture, configuration patterns, and documentation consistency, delivering actionable feedback and
dataapp-dev

keboola/ai-kit

7
This skill helps you develop robust Keboola Streamlit data apps by validating data structures, building SQL-first queries, and verifying with Playwright.
gh-process-review

keboola/ai-kit

7
This skill processes GitHub PR review comments by fetching them locally, planning fixes, and tracking progress to ensure traceable, single-commit resolutions.
build-component

keboola/ai-kit

7
This skill helps you design production-ready Keboola Python components by applying architecture, UI gaps, and code-quality best practices.
get-started

keboola/ai-kit

7
This skill guides you to initialize Keboola Python components from scratch using the cookiecutter template and set up project structure.
migrate-component-to-uv

keboola/ai-kit

7
This skill migrates Keboola Python packages from setup.py to pyproject toml using uv build with deterministic dependencies and updated workflows.
test-component

keboola/ai-kit

7
This skill helps you write and maintain Keboola Python component tests, covering datadir, unit, and integration tests with robust mocks.