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.
Decision summary
Dcscn Super Resolution is the strongest overall pick here because it has a 57/100 readiness score and fits Coding agents.
Strongest overall
Dcscn Super Resolution
Do a manual repository review before adding this to an agent workflow.
Fastest prototype
Dcscn Super Resolution
Best first install candidate based on install readiness and adoption.
Freshest repo
Dcscn Super Resolution
Most recent maintenance signal among this shortlist.
| Signal | Dcscn Super Resolution A tensorflow implementation of "Fast and Accurate Image Super Resolution by Deep CNN with Skip Connection and Network in Network", a deep learning based Single-Image Super-Resolution (SISR) model. |
|---|---|
| Quality | 55/100 Promising |
| Decision verdict | 57/100 Needs manual review Do a manual repository review before adding this to an agent workflow. |
| Adoption | 714 stars 0 installs |
| Freshness | Apr 6, 2023 |
| Use-case fit | |
| Workflow fit | |
| Platform hints | Python, Computer Vision, Claude Code |
| Warnings | Repository looks stale · No OpenAgentSkill engagement data yet |
| Best for | 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 |
| OpenAgentSkill engagement | 0 views 0 install copies |
| Install | $ npx skills add jiny2001/dcscn-super-resolution |