Skill ディレクトリ

AI Agent のための再利用可能な Skill を見つける。

タスクで実際の GitHub Skill を検索し、利用前に Stars、Trust、監査、カテゴリ、インストール経路を確認できます。

すべての推奨は、リポジトリ、監査、インストール経路に明確につながっています。

検索結果: joint-angles

英語版ディレクトリ

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

2.2K
Stars
79/100
信頼
カテゴリ: robotics-iot監査

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
信頼
カテゴリ: data-analysis監査

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
信頼
カテゴリ: design-creative監査

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
信頼
カテゴリ: robotics-iot監査

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
信頼
カテゴリ: robotics-iot監査

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

241
Stars
68/100
信頼
カテゴリ: sports-analytics監査

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

19
Stars
65/100
信頼
カテゴリ: security監査

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
信頼
カテゴリ: research監査

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
信頼
カテゴリ: utility監査

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
信頼
カテゴリ: robotics-iot監査

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
信頼
カテゴリ: research監査

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
信頼
カテゴリ: robotics-iot監査