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: generic

Englisches Verzeichnis

Design and implementation guidance for distinctive landing pages, portfolios, product demos, and purposeful redesigns.

79K
Stars
89/100
Trust
Kategorie: design-creativeAudit

Apply Anthropic official brand colors, typography, and visual standards to appropriate Anthropic-related artifacts.

171K
Stars
82/100
Trust
Kategorie: design-creativeAudit

A portable AI agent skill that enhances AI-generated user interfaces with better layout, typography, motion, and spacing to avoid generic outputs.

65K
Stars
87/100
Trust
Kategorie: developmentAudit

Research and development (R&D) is crucial for the enhancement of industrial productivity, especially in the AI era, where the core aspects of R&D are mainly focused on data and models. We are committed to automating these high-value generic R&D processes through R&D-Agent, which lets AI drive data-driven AI. 🔗https://aka.ms/RD-Agent-Tech-Report

13K
Stars
87/100
Trust
Kategorie: automationAudit

Generic automation framework for acceptance testing and RPA

12K
Stars
82/100
Trust
Kategorie: automationAudit

Crabbox: warm a box, sync the diff, run the suite.

1.3K
Stars
81/100
Trust
Kategorie: utilityAudit

Run a 5-dimension expert design review on any HTML artifact in the project — Philosophy / Visual hierarchy / Detail / Functionality / Innovation, each scored 0–10. Outputs a single self-contained HTML report with a radar chart, evidence-backed scores, and three lists: Keep / Fix / Quick-wins. Use when the brief asks for a "design review", "design critique", "5 维度评审", "design audit", or "what's wrong with my design".

90K
Stars
80/100
Trust
Kategorie: securityAudit

A set of three Claude Code skills that automate specification, building, and review of code via Linear and GitHub, with human gating on merges.

104
Stars
76/100
Trust
Kategorie: coding-agentsAudit

Develop, fix, and profile Cherry Studio in a tracked Electron instance. Use for everyday implementation, UI and interaction work, bug fixing, runtime debugging, DevTools inspection, lag or jank investigation, CPU and memory monitoring, leak checks, and startup-performance analysis; reuse a verified workspace instance across instructions and launch or replace one only when required.

51K
Stars
79/100
Trust
Kategorie: researchAudit

This skill should be used for time series machine learning tasks including classification, regression, clustering, forecasting, anomaly detection, segmentation, and similarity search. Use when working with temporal data, sequential patterns, or time-indexed observations requiring specialized algorithms beyond standard ML approaches. Particularly suited for univariate and multivariate time series analysis with scikit-learn compatible APIs.

34K
Stars
80/100
Trust
Kategorie: researchAudit

When the user needs to generate, iterate, or scale ad creative for paid advertising. Use when they say 'write ad copy,' 'generate headlines,' 'create ad variations,' 'bulk creative,' 'iterate on ads,' 'ad copy validation,' 'RSA headlines,' 'Meta ad copy,' 'LinkedIn ad,' or 'creative testing.' This is pure creative production — distinct from paid-ads (campaign strategy). Use ad-creative when you need the copy, not the campaign plan.

25K
Stars
77/100
Trust
Kategorie: design-creativeAudit