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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 1 skill

Use this as a shortlist, then open the skill detail page before adopting.

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Decision summary

DragGAN is the strongest overall pick here because it has a 74/100 readiness score and fits GitHub automation.

Strongest overall

DragGAN

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

Fastest prototype

DragGAN

Best first install candidate based on install readiness and adoption.

Freshest repo

DragGAN

Most recent maintenance signal among this shortlist.

SignalDragGAN

Unofficial Implementation of DragGAN - "Drag Your GAN: Interactive Point-based Manipulation on the Generative Image Manifold" （DragGAN 全功能实现，在线Demo，本地部署试用，代码、模型已全部开源，支持Windows, macOS, Linux）

Quality
72/100
Strong
Decision verdict
74/100
Strong shortlist

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

Adoption5.0K stars
0 installs
FreshnessJul 17, 2023
Use-case fit
GitHub automationDesign and creativeCoding agents
Stack fit
Content growth agentCoding review agent
Platform hintsPython, Image Generation, Claude Code, OpenAI Agents
WarningsRepository looks stale · No OpenAgentSkill engagement data yet
Best forGitHub automation workflows · Claude Code teams · teams that value GitHub adoption signals
OpenAgentSkill

The skill layer for AI agents: discover, compare, audit, and install reusable capabilities across Codex, Claude Code, Cursor, and agent runtimes.

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OpenAgentSkill Registry
PrivacyBuilt for agent-native discovery
Not ideal forteams that require actively maintained dependencies · production agents without a repository review
OpenAgentSkill engagement0 views
0 install copies
Install
$ npx skills add OpenGVLab/DragGAN