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
D2l En is the strongest overall pick here because it has a 83/100 readiness score and fits Coding agents.
Strongest overall
D2l En
Shortlist this skill and compare it with close alternatives before production adoption.
Fastest prototype
D2l En
Best first install candidate based on install readiness and adoption.
Freshest repo
D2l En
Most recent maintenance signal among this shortlist.
| Signal | D2l En Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge. |
|---|---|
| Quality | 81/100 Strong |
| Decision verdict | 83/100 Strong shortlist Shortlist this skill and compare it with close alternatives before production adoption. |
| Adoption | 29K stars 0 installs |
| Freshness | Aug 18, 2024 |
| Use-case fit | |
| Workflow fit | |
| Platform hints | Python, Machine Learning, 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 d2l-ai/d2l-en |