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boringdata AI Skills

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浏览 boringdata 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

14

收录技能的仓库 Stars 合计

814

仓库 Forks

62

平均每个技能的仓库 Stars

58

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。

14 个技能

全部技能

GitHub

bsl-query-expert

boringdata

Query BSL semantic models with group_by, aggregate, filter, and visualizations. Use for data analysis from existing semantic tables.

GitHub

bsl-model-builder

boringdata

Build BSL semantic models with dimensions, measures, joins, and YAML config. Use for creating/modifying data models.

GitHub

user-onboarding

boringdata

Guide new users through setting up a Kurt project - understand their goals, map content sources, discover topics with clustering, and organize their knowledge base.

GitHub

document-indexing

boringdata

Extract structured metadata from documents using AI. Classify content types, extract topics and tools. Supports async batch processing.

GitHub

project-management

boringdata

Manage Kurt projects - add sources/targets, update project.md, detect missing content, track progress. (project)

GitHub

document-management

boringdata

Manage Kurt documents - list, query, retrieve content, delete, find duplicates. Use CLI commands, Python API, or direct SQL queries.

GitHub

writing-rules

boringdata

Extract and manage writing rules (style, structure, persona, publisher, custom) (project)

GitHub

import-content

boringdata

Import existing markdown files into Kurt database. Fix ERROR records, bulk import files, link content to database.

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。