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
Few Shot Patch Based Training is the strongest overall pick here because it has a 51/100 readiness score and fits GitHub automation.
Strongest overall
Few Shot Patch Based Training
Do a manual repository review before adding this to an agent workflow.
Fastest prototype
Few Shot Patch Based Training
Best first install candidate based on install readiness and adoption.
Freshest repo
Few Shot Patch Based Training
Most recent maintenance signal among this shortlist.
| Signal | Few Shot Patch Based Training The official implementation of our SIGGRAPH 2020 paper Interactive Video Stylization Using Few-Shot Patch-Based Training |
|---|---|
| Quality | 49/100 Needs review |
| Decision verdict | 51/100 Needs manual review Do a manual repository review before adding this to an agent workflow. |
| Adoption | 625 stars Verified outcomes are shown on each skill page |
| Freshness | Apr 16, 2021 |
| Use-case fit | |
| Workflow fit | |
| Platform hints | C++, Image Generation, Claude Code |
| Warnings | Repository looks stale · No OpenAgentSkill engagement data yet |
| Best for | GitHub automation 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 OndrejTexler/Few-Shot-Patch-Based-Training |