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.

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Decision summary

DeepCamera is the strongest overall pick here because it has a 100/100 readiness score and fits Coding agents.

Strongest overall

DeepCamera

Use this as a leading candidate, then validate the README and install path in your own agent stack.

Fastest prototype

Face.EvoLVe

Best first install candidate based on install readiness and adoption.

Freshest repo

DeepCamera

Most recent maintenance signal among this shortlist.

SignalJeelizWeboji

Real time WebGL and JavaScript library for face tracking, expression detection and animated emoticons in the browser, with both SVG and Three.js demos included 😄

DeepCamera

Open-Source AI Camera Skills Platform, AI NVR & CCTV Surveillance. Local VLM video analysis with Qwen, DeepSeek, SmolVLM, LLaVA, YOLO26. LLM-powered agentic security camera agent — watches, understands, remembers & guards your home via Telegram, Discord or Slack. Pluggable AI skills. OpenAI, Google, Anthropic or local AI. Runs on Mac Mini & AI PC.

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

Face.EvoLVe

🔥🔥High-Performance Face Recognition Library on PaddlePaddle & PyTorch🔥🔥

Quality
71/100
Strong
100/100
Excellent
90/100
Excellent
76/100
Strong
Decision verdict
73/100
Strong shortlist

Shortlist this skill and compare it with close alternatives before production adoption.

100/100
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.

78/100
Strong shortlist

Shortlist this skill and compare it with close alternatives before production adoption.

Adoption1.1K stars
0 installs
2.8K stars
0 installs
2.3K stars
0 installs
3.6K stars
0 installs
FreshnessFeb 6, 2024Apr 21, 2026Mar 6, 2026Mar 20, 2025
Use-case fit
Stack fit
Platform hintsJavaScript, Computer Vision, Claude Code, Browser agentsJavaScript, Computer Vision, Claude Code, OpenAI AgentsJupyter Notebook, Computer Vision, Claude CodePython, Computer Vision, Claude Code
WarningsRepository looks stale · No OpenAgentSkill engagement data yetNo OpenAgentSkill engagement data yetNo OpenAgentSkill engagement data yetRepository looks stale · No OpenAgentSkill engagement data yet
Best forSports analytics workflows · Claude Code teams · teams that value GitHub adoption signalsCoding agents workflows · Claude Code teams · teams that value GitHub adoption signalsMultimodal media workflows · Claude Code teams · teams that value GitHub adoption signalsGitHub automation workflows · Claude Code teams · teams that value GitHub adoption signals
Not ideal forteams that require actively maintained dependencies · production agents without a repository reviewteams that need a vendor-supported SLA · high-compliance environments without internal security reviewteams that need a vendor-supported SLA · high-compliance environments without internal security reviewteams that require actively maintained dependencies · production agents without a repository review
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Install
$ npx skills add jeeliz/jeelizWeboji
$ npx skills add SharpAI/DeepCamera
$ npx skills add google-research-datasets/Objectron
$ npx skills add ZhaoJ9014/face.evoLVe