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: experiment-loops

Direktori bahasa Inggris

React and Next.js performance guidance for writing, reviewing, and refactoring production UI code.

30K
Stars
88/100
Kepercayaan
Kategori: coding-agentsAudit

access to david ondrej's personal agent skills

2.7K
Stars
76/100
Kepercayaan
Kategori: utilityAudit

A curated collection of reusable agent skills for designers and builders to generate UI prompts and workflows using AI coding agents.

4.8K
Stars
86/100
Kepercayaan
Kategori: design-creativeAudit
Aim82

Aim 💫 — An easy-to-use & supercharged open-source experiment tracker.

6.2K
Stars
82/100
Kepercayaan
Kategori: ml-automationAudit

ClearML - Auto-Magical CI/CD to streamline your AI workload. Experiment Management, Data Management, Pipeline, Orchestration, Scheduling & Serving in one MLOps/LLMOps solution

6.7K
Stars
86/100
Kepercayaan
Kategori: ml-automationAudit

A curated list of autonomous improvement loops, research agents, and autoresearch-style systems inspired by Karpathy's autoresearch.

2.5K
Stars
77/100
Kepercayaan
Kategori: agent-frameworksAudit

An easy to use and powerful chaos engineering experiment toolkit.(阿里巴巴开源的一款简单易用、功能强大的混沌实验注入工具)

6.4K
Stars
86/100
Kepercayaan
Kategori: devopsAudit

🧊 Open source LLM observability platform. One line of code to monitor, evaluate, and experiment. YC W23 🍓

6.0K
Stars
86/100
Kepercayaan
Kategori: developmentAudit

A library of practical AI-agent loops and an installable skill for finding, adapting, and designing repeatable agent workflows.

2.6K
Stars
85/100
Kepercayaan
Kategori: agent-frameworksAudit

A Claude Code skill that generates interactive HTML courses from any codebase for non-technical users.

5.2K
Stars
76/100
Kepercayaan
Kategori: developmentAudit

The collaborative spreadsheet for AI. Chain cells into powerful pipelines, experiment with prompts and models, and evaluate LLM responses in real-time. Work together seamlessly to build and iterate on AI applications.

1.1K
Stars
84/100
Kepercayaan
Kategori: rag-knowledgeAudit