Skill-Verzeichnis

Wiederverwendbare Skills für AI Agents entdecken.

Durchsuche reale GitHub-Skills nach Aufgabe und prüfe Stars, Trust, Audit, Kategorie und Installationspfad vor der Verwendung.

Jede Empfehlung bleibt mit ihrem Repository, Audit und Installationspfad nachvollziehbar.

Suchergebnisse: superset

Englisches Verzeichnis

Apache Superset is a Data Visualization and Data Exploration Platform

73K
Stars
82/100
Trust
Kategorie: data-analysisAudit

kramdown is a fast, pure Ruby Markdown superset converter, using a strict syntax definition and supporting several common extensions.

1.8K
Stars
72/100
Trust
Kategorie: document-processingAudit
Mdv66

MDV — a Markdown superset for documents, dashboards, and slides with embedded data and visualizations. HTML + PDF export, live preview, VS Code extension.

495
Stars
66/100
Trust
Kategorie: document-processingAudit

A portable Datamart and Business Intelligence suite built with Docker, Dagster, dbt, DuckDB and Superset

264
Stars
68/100
Trust
Kategorie: data-analysisAudit

Two Claude Code skills implementing token discipline and independent code review for efficient model usage.

10
Stars
63/100
Trust
Kategorie: coding-agentsAudit

Repository for Docker Image of Apache-Superset. [Docker Image: https://hub.docker.com/r/abhioncbr/docker-superset]

104
Stars
53/100
Trust
Kategorie: data-analysisAudit

Bootstrap a new project at a chosen graduation tier (t0 minimum, t1 decision-tracked, t2 full pattern language) following AI-Assisted Project Orchestration best practices. Use when starting a new software project, promoting an existing project to a higher tier, or converting an existing project for AI-assisted development.

14
Stars
58/100
Trust
Kategorie: automationAudit