Direktori skill

Temukan skill yang dapat digunakan kembali untuk AI agents.

Cari skill GitHub nyata berdasarkan tugas lalu periksa stars, trust, audit, kategori, dan jalur pemasangan sebelum digunakan.

Setiap rekomendasi tetap terhubung dengan repositori, audit, dan jalur pemasangannya.

Hasil pencarian: human-resources

Direktori bahasa Inggris

Break a plan, spec, or conversation into independently actionable tracer-bullet tickets with explicit blocking relationships.

177K
Stars
81/100
Kepercayaan
Kategori: coding-agentsAudit
Cli75

A versatile command-line tool for interacting with Google Workspace APIs, designed for both human users and AI agents.

30K
Stars
75/100
Kepercayaan
Kategori: utilityAudit

AKShare is an elegant and simple financial data interface library for Python, built for human beings! 开源财经数据接口库

22K
Stars
83/100
Kepercayaan
Kategori: data-analysisAudit

A curated list of resources and tools for enhancing Claude AI workflows.

66K
Stars
75/100
Kepercayaan
Kategori: utilityAudit
Cli85

Official Lark/Feishu CLI tool with 200+ commands and 26 AI agent skills, designed for agent-native operation and easy integration with AI runtimes.

17K
Stars
85/100
Kepercayaan
Kategori: productivityAudit

A comprehensive toolkit for enhancing GitHub Copilot with specialized agents, instructions, and workflows.

37K
Stars
78/100
Kepercayaan
Kategori: developmentAudit

Apple's approach to interface design and fluid, physical motion, translated for the web. Use when building or reviewing gesture-driven UI, spring animations, drag/swipe/sheet interactions, momentum and interruptible transitions, translucent materials and depth, typography (optical sizing, tracking, leading), reduced-motion, or the design foundations (feedback, spatial consistency, restraint) behind Apple-style interfaces.

18K
Stars
87/100
Kepercayaan
Kategori: design-creativeAudit

OpenViking is an open-source context database designed specifically for AI Agents(such as openclaw). OpenViking unifies the management of context (memory, resources, and skills) that Agents need through a file system paradigm, enabling hierarchical context delivery and self-evolving.

26K
Stars
85/100
Kepercayaan
Kategori: agent-frameworksAudit

🐙 Guides, papers, lessons, notebooks and resources for prompt engineering, context engineering, RAG, and AI Agents.

76K
Stars
86/100
Kepercayaan
Kategori: agent-frameworksAudit

DevOps Roadmap for 2026. with learning resources

20K
Stars
81/100
Kepercayaan
Kategori: devopsAudit

Agentic AI Infrastructure for magnifying HUMAN capabilities.

16K
Stars
81/100
Kepercayaan
Kategori: productivity-automationAudit