Skill comparison
Compare agent skills before installing.
Put high-signal skills side by side and inspect quality, adoption, freshness, install readiness, use-case fit, and warnings in one place.
Comparing 4 skills
Use this as a shortlist, then open the skill detail page before adopting.
Decision summary
Objectron is the strongest overall pick here because it has a 100/100 readiness score and fits Multimodal media.
Strongest overall
Objectron
Use this as a leading candidate, then validate the README and install path in your own agent stack.
Fastest prototype
4DGaussians
Best first install candidate based on install readiness and adoption.
Freshest repo
Objectron
Most recent maintenance signal among this shortlist.
| Signal | 4DGaussians [CVPR 2024] 4D Gaussian Splatting for Real-Time Dynamic Scene Rendering | CityGaussian [ECCV`24&ICLR`25] CityGaussian Series for High-quality Large-Scale Scene Reconstruction with Gaussians | Objectron Objectron is a dataset of short, object-centric video clips. In addition, the videos also contain AR session metadata including camera poses, sparse point-clouds and planes. In each video, the camera moves around and above the object and captures it from different views. Each object is annotated with a 3D bounding box. The 3D bounding box describes the object’s position, orientation, and dimensions. The dataset contains about 15K annotated video clips and 4M annotated images in the following categories: bikes, books, bottles, cameras, cereal boxes, chairs, cups, laptops, and shoes | SplaTAM SplaTAM: Splat, Track & Map 3D Gaussians for Dense RGB-D SLAM (CVPR 2024) |
|---|---|---|---|---|
| Quality | 76/100 Strong | 87/100 Excellent | 90/100 Excellent | 74/100 Strong |
| Decision verdict | 78/100 Strong shortlist Shortlist this skill and compare it with close alternatives before production adoption. | 98/100 Production-ready Use this as a leading candidate, then validate the README and install path in your own agent stack. | 100/100 Production-ready Use this as a leading candidate, then validate the README and install path in your own agent stack. | 76/100 Strong shortlist Shortlist this skill and compare it with close alternatives before production adoption. |
| Adoption | 3.8K stars 0 installs | 1.2K stars 0 installs | 2.3K stars 0 installs | 2.1K stars 0 installs |
| Freshness | Oct 27, 2024 | Feb 7, 2026 | Mar 6, 2026 | Jun 19, 2024 |
| Use-case fit | ||||
| Stack fit | ||||
| Platform hints | Jupyter Notebook, Computer Vision, Claude Code | Jupyter Notebook, Computer Vision, Claude Code | Jupyter Notebook, Computer Vision, Claude Code | Python, Computer Vision, Claude Code |
| Warnings | Repository looks stale · No OpenAgentSkill engagement data yet | No OpenAgentSkill engagement data yet | No OpenAgentSkill engagement data yet | Repository looks stale · No OpenAgentSkill engagement data yet |
| Best for | Coding agents workflows · Claude Code teams · teams that value GitHub adoption signals | GitHub automation workflows · Claude Code teams · teams that value GitHub adoption signals | Multimodal media workflows · Claude Code teams · teams that value GitHub adoption signals | Coding agents workflows · Claude Code teams · teams that value GitHub adoption signals |
| Not ideal for | teams that require actively maintained dependencies · production agents without a repository review | teams that need a vendor-supported SLA · high-compliance environments without internal security review | teams that need a vendor-supported SLA · high-compliance environments without internal security review | teams that require actively maintained dependencies · production agents without a repository review |
| OpenAgentSkill engagement | 0 views 0 install copies | 0 views 0 install copies | 0 views 0 install copies | 0 views 0 install copies |
| Install | $ npx skills add hustvl/4DGaussians | $ npx skills add Linketic/CityGaussian | $ npx skills add google-research-datasets/Objectron | $ npx skills add spla-tam/SplaTAM |