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: zig

Englisches Verzeichnis

🌟 Ethereum Consensus client for the Zig and TypeScript ecosystem

1.4K
Stars
80/100
Trust
Kategorie: web3-analyticsAudit

A curated suite of AI agent skills for systems and low-level programming, covering C/C++, Rust, Zig, and various toolchain components like compilers, debuggers, and profilers.

139
Stars
75/100
Trust
Kategorie: developmentAudit

Keep the people you love connected — a tiny self-hosted Telegram proxy that hides in plain HTTPS

992
Stars
73/100
Trust
Kategorie: legal-complianceAudit

Browser automation, web crawling, and iOS + Android device control for AI agents. Zig-native, token-efficient CDP snapshots, HAR recording, native adb wire-protocol client, and a standalone fetcher.

331
Stars
62/100
Trust
Kategorie: web-automationAudit

Zero-copy PDF text extraction library written in Zig. High-performance, memory-mapped parsing with SIMD acceleration.

915
Stars
70/100
Trust
Kategorie: document-processingAudit

Flake for packaging, building and running Zig projects.

180
Stars
68/100
Trust
Kategorie: coding-agentsAudit

Interact with ethereum and EVM based chains via Zig!

116
Stars
68/100
Trust
Kategorie: web3-analyticsAudit

Repo for https://zig.guide content. Get up to speed with Zig quickly.

921
Stars
67/100
Trust
Kategorie: educationAudit

Zigma is an algorithmic trading framework built with the Zig programming language, leveraging an actor-based concurrency model. It aims to provide an efficient, low-latency system for algorithmic trading through components handling market data, strategy execution, order management, risk, and data persistence.

102
Stars
64/100
Trust
Kategorie: financeAudit

Conduct SPARK methodology analysis for new project inception. Use at the beginning of a new project, when evaluating significant features, before bootstrap-project to validate viability, or when pivoting an existing project.

14
Stars
61/100
Trust
Kategorie: automationAudit