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: rgb

英文目录

AI-agent Skill for generating polished HTML slide decks: editorial magazine and Swiss layouts, image prompts, social covers, and a WebGL/low-power presentation runtime.

25K
Stars
88/100
信任
分类: agent-skills审计

For marketing and gtm work: bind launches, campaigns, events, and brand plans to growth and pipeline outcomes. Built around the core query "annual-marketing-plan", with GTM strategy lead judgment, buyer-ready proof, and this outcome: approve launch plan, campaign budget, or GTM motion.

91K
Stars
68/100
信任
分类: design-creative审计

Official GSAP skill for gsap.utils — clamp, mapRange, normalize, interpolate, random, snap, toArray, wrap, pipe. Use when the user asks about gsap.utils, clamp, mapRange, random, snap, toArray, wrap, or helper utilities in GSAP.

14K
Stars
76/100
信任
分类: automation审计

VGGT-SLAM: Dense RGB SLAM Optimized on the SL(4) Manifold

982
Stars
71/100
信任
分类: robotics-iot审计

SplaTAM: Splat, Track & Map 3D Gaussians for Dense RGB-D SLAM (CVPR 2024)

2.1K
Stars
69/100
信任
分类: robotics-iot审计

Official PyTorch implementation of "Camera Distance-aware Top-down Approach for 3D Multi-person Pose Estimation from a Single RGB Image", ICCV 2019

865
Stars
65/100
信任
分类: robotics-iot审计

Best-practices guide for React Native VisionCamera v5 setup, migration, capture, controls, outputs, and basic frame processing. Use the separate react-native-vision-camera-realtime skill for production low-latency GPU, ML, CV, Skia or WebGPU pipelines and frame-coupled overlays.

161
Stars
58/100
信任
分类: design-creative审计

Design and review production-grade low-latency VisionCamera v5 pipelines. Use for real-time GPU, ML, CV, Skia or WebGPU overlays, Nitro frame plugins, zero-copy interop, frame budgets, and latency profiling. Use the general react-native-vision-camera skill for setup, capture, controls, basic frame outputs, or v4 migration.

161
Stars
61/100
信任
分类: design-creative审计

Estimate absolute 3D human poses from RGB images.

584
Stars
63/100
信任
分类: robotics-iot审计

Predict dense depth maps from sparse and noisy LiDAR frames guided by RGB images. (Ranked 1st place on KITTI) [MVA 2019]

510
Stars
62/100
信任
分类: robotics-iot审计

Official PyTorch implementation of "Camera Distance-aware Top-down Approach for 3D Multi-person Pose Estimation from a Single RGB Image", ICCV 2019

492
Stars
63/100
信任
分类: robotics-iot审计