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: 10x

英文目录
10x73

⚡️ 10x - Up to 20x faster AI coding with multi-step Superpowers. Open-source agent with smart model routing, BYOK, fully self-hosted.

1.4K
Stars
73/100
信任
分类: agent-frameworks审计

🐸 Rybbit - open-source and privacy-friendly alternative to Google Analytics that is 10x more intuitive.

12K
Stars
87/100
信任
分类: growth-marketing审计

Redpanda is a streaming data platform for developers. Kafka API compatible. 10x faster. No ZooKeeper. No JVM!

12K
Stars
77/100
信任
分类: devops审计

Get 10X more out of Claude Code, Codex or any coding agent

27K
Stars
81/100
信任
分类: agent-frameworks审计

A visual playground for agentic workflows: Iterate over your agents 10x faster

5.8K
Stars
81/100
信任
分类: data审计

Self-hosted GitHub Actions runners made simple. For AWS. 10x cheaper, 40% faster, and unlimited caching. Best alternative to Actions Runner Controller.

1.2K
Stars
84/100
信任
分类: github-automation审计

An AI-powered data science team of agents to help you perform common data science tasks 10X faster.

5.3K
Stars
83/100
信任
分类: ml-automation审计

🌸 Run LLMs at home, BitTorrent-style. Fine-tuning and inference up to 10x faster than offloading

10K
Stars
76/100
信任
分类: ml-automation审计

Data structure for annotated matrices in single-cell analysis. Use when working with .h5ad files or integrating with the scverse ecosystem. This is the data format skill—for analysis workflows use scanpy; for probabilistic models use scvi-tools; for population-scale queries use cellxgene-census.

34K
Stars
77/100
信任
分类: data-analysis审计

Streamlining reinforcement learning with RLOps. State-of-the-art RL algorithms and tools, with 10x faster training through evolutionary hyperparameter optimization.

941
Stars
74/100
信任
分类: agent-frameworks审计

NEO Emacs (WIP): GPU powered Emacs written in Rust with a modern display engine. Aiming for modern design & multi-threaded Elisp, 10x performance, zero-pause GC and 100% Emacs compatibility.

879
Stars
67/100
信任
分类: productivity-automation审计

10x faster matrix and vector operations

2.5K
Stars
68/100
信任
分类: ml-automation审计