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boringdata AI Skills

GitHub ↗

Explorez les skills IA publiés de boringdata et consultez leurs instructions source.

Statistiques de l’auteur

Skills indexés

14

Étoiles des dépôts des skills indexés

814

Forks du dépôt

62

Moyenne des étoiles par skill indexé

58

Les étoiles d’un dépôt peuvent se répéter entre ses skills.

14 skills

Explorer

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

import-content

boringdata

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

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.