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: joint-angles

영문 디렉토리

[CVPR 2025] MMAudio: Taming Multimodal Joint Training for High-Quality Video-to-Audio Synthesis

2.2K
Stars
79/100
신뢰
카테고리: robotics-iot감사

Core Python library for astronomy and astrophysics workflows that need Astropy APIs, including units/quantities, coordinates, FITS I/O, tables, time systems, WCS, and cosmology. Use when implementing or debugging astronomical data analysis code with Astropy.

34K
Stars
77/100
신뢰
카테고리: data-analysis감사

When the user needs to generate, iterate, or scale ad creative for paid advertising. Use when they say 'write ad copy,' 'generate headlines,' 'create ad variations,' 'bulk creative,' 'iterate on ads,' 'ad copy validation,' 'RSA headlines,' 'Meta ad copy,' 'LinkedIn ad,' or 'creative testing.' This is pure creative production — distinct from paid-ads (campaign strategy). Use ad-creative when you need the copy, not the campaign plan.

25K
Stars
77/100
신뢰
카테고리: design-creative감사

Real-time 3D full-body reconstruction from a single camera, Multiperson BVH output, Pure C++ runtime, ONNX + ggml, 70-joint skeleton with hands.

538
Stars
73/100
신뢰
카테고리: robotics-iot감사

Tutorial on how to get started with MuJoCo Simulation Platform. MuJoCo stands for Multi-Joint dynamics with Contact. It was acquired and made freely available by DeepMind in October 2021, and open sourced in May 2022. Feel free to contribute. Show your support by ✨this repository.

342
Stars
68/100
신뢰
카테고리: robotics-iot감사

Compute 2D human pose and angles from a video or a webcam.

241
Stars
68/100
신뢰
카테고리: sports-analytics감사

A structured Claude Code skill package for Solidity security auditing with documented methodology, heuristics, and high precision claims.

19
Stars
65/100
신뢰
카테고리: security감사

Use when a task needs current public-web facts, comparisons, fact-checking, sources, or a multi-source synthesis and both web_search and web_fetch are available.

648
Stars
72/100
신뢰
카테고리: research감사

Model-agnostic AI agent skill (open Agent Skills format) that reviews draft ITU-T Recommendations against the ITU-T Author's Guide, presentation rules and quality checklist. Works with any LLM.

15
Stars
64/100
신뢰
카테고리: utility감사

Framework for measuring sim-to-real gaps in robot joint motions. Supports different humanoids with physics simulation, real hardware data collection, and statistical analysis.

100
Stars
69/100
신뢰
카테고리: robotics-iot감사

Model-agnostic AI agent skill that reviews draft ITU-T Recommendations against official drafting rules, packaged in the open Agent Skills format.

14
Stars
63/100
신뢰
카테고리: research감사

RBDL is a C++ library that contains some essential and efficient rigid body dynamics algorithms such as the Articulated Body Algorithm (ABA) for forward dynamics, Recursive Newton-Euler Algorithm (RNEA) for inverse dynamics, the Composite Rigid Body Algorithm (CRBA) for the efficient computation of the joint space inertia matrix and is also able to compute forward dynamics with external contact constraints and collision impulses. Furthermore it has some basic support for forward and inverse kinematics.

698
Stars
63/100
신뢰
카테고리: robotics-iot감사