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: clothing-agnostic-representation

英文目录

Huashu Design · HTML-native design skill for Claude Code · Claude Code 里 HTML 原生的设计 skill · 高保真原型 / 幻灯片 / 动画 + 20 设计哲学 + 5 维评审 + MP4 导出 · Agent-agnostic

23K
Stars
88/100
信任
分类: development审计

AI agents, automations and apps that run your operations. Model agnostic.

28K
Stars
77/100
信任
分类: automation审计

A toolchain for building scalable, enterprise-ready component systems on top of TypeScript and Web Component standards. Stencil components can be distributed natively to React, Angular, Vue, (+ more) and traditional web applications from a single, framework-agnostic codebase.

13K
Stars
78/100
信任
分类: design-creative审计

Automate your mobile devices with natural language commands - an LLM agnostic mobile Agent 🤖

8.5K
Stars
86/100
信任
分类: agent-frameworks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
Fn80

The container native, cloud agnostic serverless platform.

5.9K
Stars
80/100
信任
分类: devops审计

Framework agnostic sliced/tiled inference + interactive ui + error analysis plots

5.3K
Stars
86/100
信任
分类: ml-automation审计

AI skill for OpenClaw & Claude Code — recommend from 10000+ Nano Banana Pro (Gemini) image prompts. Smart search by use case, content remix, sample images.

1.8K
Stars
77/100
信任
分类: development审计
Djl80

An Engine-Agnostic Deep Learning Framework in Java

4.8K
Stars
80/100
信任
分类: ml-automation审计

A super fast Graph Database uses GraphBLAS under the hood for its sparse adjacency matrix graph representation. Our goal is to provide the best Knowledge Graph for LLM (GraphRAG).

4.6K
Stars
75/100
信任
分类: rag-knowledge审计

Cerbos is the open core, language-agnostic, scalable authorization solution that makes user permissions and authorization simple to implement and manage by writing context-aware access control policies for your application resources.

4.5K
Stars
84/100
信任
分类: devops审计
Lit85

The Learning Interpretability Tool: Interactively analyze ML models to understand their behavior in an extensible and framework agnostic interface.

3.7K
Stars
85/100
信任
分类: ml-automation审计