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: material

Englisches Verzeichnis

Material UI: Comprehensive React component library that implements Google's Material Design. Free forever.

98K
Stars
87/100
Trust
Kategorie: design-creativeAudit

Material Design Web Components

11K
Stars
82/100
Trust
Kategorie: design-creativeAudit

Unstyled UI components for building accessible web apps and design systems. From the creators of Radix, Floating UI, and Material UI.

10.0K
Stars
86/100
Trust
Kategorie: design-creativeAudit

Radzen Blazor is the most sophisticated free UI component library for Blazor, featuring 110+ native components including DataGrid, Scheduler, Charts, and advanced theming with full support for Material Design and Fluent UI. If Radzen Blazor is useful to you, a ⭐ on GitHub helps other Blazor developers find it.

4.3K
Stars
85/100
Trust
Kategorie: data-analysisAudit

Build material design interfaces in record time... without stress for devs... 🍺💛

2.3K
Stars
84/100
Trust
Kategorie: design-creativeAudit

A full-lifecycle Claude Code skill for creating, compiling, reviewing, and polishing academic Beamer LaTeX presentations with quality scoring and pedagogical audits.

324
Stars
77/100
Trust
Kategorie: presentationAudit

A platform-neutral analytical skill that profiles messy data, selects adaptive methods, and produces source-backed visual reports for high-stakes decisions.

204
Stars
77/100
Trust
Kategorie: dataAudit

Materialious is a modern material design frontend for YouTube & Invidious, focused on a clean, privacy-friendly YouTube experience. It supports local video fallback when Invidious fails and is available on Web, Desktop, Android, and Android TV.

1.1K
Stars
84/100
Trust
Kategorie: legal-complianceAudit

A self-learning skill layer for Claude Code that automatically distills, merges, updates, and prunes skills from real sessions.

413
Stars
75/100
Trust
Kategorie: coding-agentsAudit

Book's Story — Material You eBook reader built with Jetpack Compose. Free & Open source & Ad-free, with extensive customization options and support for multiple file formats.

1.3K
Stars
75/100
Trust
Kategorie: document-processingAudit

Course Material for in28minutes courses on Java, Spring Boot, DevOps, AWS, Google Cloud, and Azure.

1.2K
Stars
75/100
Trust
Kategorie: devopsAudit

Autonomously improve a real artifact (code, training recipe, agent harness, data pipeline, prompt) against an objective and an evaluator, using Hypothesis Tree Refinement (HTR) from the Arbor paper. Use this whenever someone wants to iteratively optimize something over many experiments without overfitting — e.g. "get my model's eval score up", "improve this agent/harness", "tune this pipeline", "beat the baseline on this benchmark", "run a search over approaches and keep the best", "do an MLE-bench / Kaggle-style optimization", or any long-horizon "make this artifact better and don't just memorize the dev set" task. Trigger it even when the user doesn't say "Arbor" or "hypothesis tree" but describes repeated experiment-and-evaluate loops, branching exploration of competing ideas, or worries about a dev/test gap. Runs Claude itself as the coordinator with subagent executors in isolated git worktrees; for the standalone `arbor` CLI tool see references/arbor-upstream.md.

34K
Stars
77/100
Trust
Kategorie: researchAudit