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.
☆ 7查看技能
keboola AI Skills
GitHub ↗浏览 keboola 维护的已发布 AI 技能，比较用途与说明，并通过来源仓库了解安装方式。
作者统计
已收录技能
8收录技能的仓库 Stars 合计
56仓库 Forks
16平均每个技能的仓库 Stars
7同一仓库中的多个技能可能共享 Stars，合计包含重复仓库数据。
热门分类
近期收录动态
全部技能
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...
☆ 7查看技能
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...
☆ 7查看技能
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.
☆ 7查看技能
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...
☆ 7查看技能
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...
☆ 7查看技能
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.
☆ 7查看技能
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.
☆ 7查看技能
默认按已收录数据中的 GitHub 仓库 Stars 排序。Stars 属于来源仓库，同一仓库的多个技能可能共享相同数值；它反映仓库关注度，不代表单个技能的安装量或质量评分。