Skill 디렉토리

AI Agent를 위한 재사용 가능한 Skill을 찾으세요.

작업으로 실제 GitHub Skill을 검색하고 사용 전에 Stars, 신뢰, 감사, 카테고리, 설치 경로를 확인하세요.

모든 추천은 리포지토리, 감사, 설치 경로와 명확하게 연결됩니다.

검색 결과: leaderboard

영문 디렉토리

SpeechIO Leaderboard: a large, robust, comprehensive, benchmarking platform for Automatic Speech Recognition.

545
Stars
63/100
신뢰
카테고리: media-automation감사

🛰️ A CLI tool for tracking token usage from OpenCode, Claude Code, 🦞OpenClaw (Clawdbot/Moltbot), Pi, Codex, Gemini, Cursor, AmpCode, Factory Droid, Kimi, and more! • 🏅Global Leaderboard + 2D/3D Contributions Graph

3.9K
Stars
74/100
신뢰
카테고리: development감사

35 production-grade agentic AI architectures (Reflexion, LATS, GraphRAG, MemGPT, Voyager, BrowserAgent, ...) — a Python library and runnable textbook with multi-provider LLM support and a 17-task benchmark leaderboard.

3.7K
Stars
85/100
신뢰
카테고리: agent-frameworks감사

Helps users discover and install agent skills when they ask questions like "how do I do X", "find a skill for X", "is there a skill that can...", or express interest in extending capabilities. This skill should be used when the user is looking for functionality that might exist as an installable skill.

51K
Stars
83/100
신뢰
카테고리: research감사

Sharing both practical insights and theoretical knowledge about LLM evaluation that we gathered while managing the Open LLM Leaderboard and designing lighteval!

2.1K
Stars
73/100
신뢰
카테고리: ml-automation감사

A cross-platform AI agent skill that performs standardized health checkups with dual-axis scoring and public leaderboard integration.

95
Stars
67/100
신뢰
카테고리: utility감사

Train and Infer Powerful Sentence Embeddings with AnglE | 🔥 SOTA on STS and MTEB Leaderboard

571
Stars
71/100
신뢰
카테고리: rag-knowledge감사

🏆 The AI coding usage leaderboard — Claude Code, Codex, Gemini CLI & more. Real costs and tokens from ccusage data. Submit with: npx viberank-cli

102
Stars
68/100
신뢰
카테고리: coding-agents감사

Awesome-LLM-Eval: a curated list of tools, datasets/benchmark, demos, leaderboard, papers, docs and models, mainly for Evaluation on LLMs. 一个由工具、基准/数据、演示、排行榜和大模型等组成的精选列表,主要面向基础大模型评测,旨在探求生成式AI的技术边界.

642
Stars
68/100
신뢰
카테고리: rag-knowledge감사

A joint community effort to create one central leaderboard for LLMs.

306
Stars
62/100
신뢰
카테고리: ml-automation감사

READ this skill when designing or planning any game system architecture — including combat, skills, AI, UI, multiplayer, narrative, or scene systems. Contains paradigm selection guides (DDD / Data-Driven / Prototype), system-specific design references, and mixing strategies. Works as a domain knowledge plugin alongside workflow skills (OpenSpec, SpecKit) or plan mode of an agent.

57
Stars
57/100
신뢰
카테고리: research감사

Cross-silo Federated Learning playground in Python. Discover 7 real-world federated datasets to test your new FL strategies and try to beat the leaderboard.

239
Stars
62/100
신뢰
카테고리: geo-science감사