GitHub
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.
keboola AI Skills
GitHub ↗Explorez les skills IA publiés de keboola et consultez leurs instructions source.
Statistiques de l’auteur
Skills indexés
8Étoiles des dépôts des skills indexés
56Forks du dépôt
16Moyenne des étoiles par skill indexé
7Les étoiles d’un dépôt peuvent se répéter entre ses skills.
Catégories populaires
Indexation récente
Explorer
GitHub
component-builder
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...
GitHub
dataapp-dev
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...
GitHub
tester
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.
GitHub
reviewer
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...
GitHub
ui-developer
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...
GitHub
debugger
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.
GitHub
get-started
Guide for initializing and setting up new Keboola Python components using cookiecutter template. Use when starting a new component project from scratch.
Le classement utilise les étoiles du dépôt GitHub indexé. Plusieurs skills peuvent partager ce nombre : ce n’est ni un nombre d’installations ni une note de qualité.