Skill comparison
Compare agent skills before installing.
Comparing 4 skills
Use this as a shortlist, then open the skill detail page before adopting.
Decision summary
Keras is the strongest overall pick here because it has a 100/100 readiness score and fits Sports analytics.
Strongest overall
Keras
Use this as a leading candidate, then validate the README and install path in your own agent stack.
Fastest prototype
Keras
Best first install candidate based on install readiness and adoption.
Freshest repo
Wandb
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. | Ray Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads. | Keras Deep Learning for humans | Wandb The AI developer platform. Use Weights & Biases to train and fine-tune models, and manage models from experimentation to production. |
|---|---|---|---|---|
| Quality | 81/100 Strong | 100/100 Excellent | 100/100 Excellent | 100/100 Excellent |
| Decision verdict | 83/100 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. | 100/100 Production-ready Use this as a leading candidate, then validate the README and install path in your own agent stack. |
| Adoption | 29K stars Verified outcomes are shown on each skill page | 43K stars Verified outcomes are shown on each skill page | 64K stars Verified outcomes are shown on each skill page | 11K stars Verified outcomes are shown on each skill page |
| Freshness | Aug 18, 2024 | Jun 16, 2026 | Jun 12, 2026 | Jul 23, 2026 |
| Use-case fit | ||||
| Workflow fit | ||||
| Platform hints | Python, Machine Learning, Claude Code | Python, Machine Learning, Claude Code | Python, Machine Learning, Claude Code | Python, Machine Learning, Claude Code |
| Warnings | Repository looks stale · No OpenAgentSkill engagement data yet | No major risk signals from current metadata | No OpenAgentSkill engagement data yet | No OpenAgentSkill engagement data yet |
| Best for | Coding agents workflows · Claude Code teams · teams that value GitHub adoption signals | RAG and knowledge workflows · Claude Code teams · teams that value GitHub adoption signals | Sports analytics workflows · Claude Code teams · teams that value GitHub adoption signals | 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 | teams that need a vendor-supported SLA · high-compliance environments without internal security review | teams that need a vendor-supported SLA · high-compliance environments without internal security review | teams that need a vendor-supported SLA · high-compliance environments without internal security review |
| OpenAgentSkill engagement | 0 views 0 install copies | 35 views 1 install copies | 0 views 0 install copies | 0 views 0 install copies |
| Install | $ npx skills add d2l-ai/d2l-en | $ npx skills add ray-project/ray | $ npx skills add keras-team/keras | $ npx skills add wandb/wandb |