技能目录

为 AI Agent 发现可复用技能。

按任务搜索真实的 GitHub 技能,并在使用前查看 Stars、信任、审计、分类和安装路径。

每个推荐都保留与其仓库、审计和安装路径的明确关联。

搜索结果: human-faces

英文目录

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

177K
Stars
81/100
信任
分类: coding-agents审计
Cli75

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

30K
Stars
75/100
信任
分类: utility审计

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
信任
分类: data-analysis审计
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
信任
分类: productivity审计

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
信任
分类: design-creative审计

Agentic AI Infrastructure for magnifying HUMAN capabilities.

16K
Stars
81/100
信任
分类: productivity-automation审计

Create a structured post-earnings equity research update with key metrics, estimate changes, charts, and thesis review.

34K
Stars
75/100
信任
分类: Finance审计

Stanford NLP Python library for tokenization, sentence segmentation, NER, and parsing of many human languages

7.8K
Stars
77/100
信任
分类: ml-automation审计

Autonomous novel writing AI Agent — agents write, audit, and revise novels with human review gates

7.6K
Stars
83/100
信任
分类: agent-frameworks审计

🚀 Truly open-source AI avatar(digital human) toolkit for offline video generation and digital human cloning.

14K
Stars
77/100
信任
分类: media-automation审计

Vendor-agnostic orchestration for training, inference and agentic workloads across NVIDIA, AMD, TPU, and Tenstorrent on clouds, Kubernetes, and bare metal.

2.2K
Stars
85/100
信任
分类: agent-skills审计