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
Pytorch Lightning is the strongest overall pick here because it has a 100/100 readiness score and fits Coding agents.
Strongest overall
Pytorch Lightning
Use this as a leading candidate, then validate the README and install path in your own agent stack.
Fastest prototype
Pytorch Lightning
Best first install candidate based on install readiness and adoption.
Freshest repo
Xgboost
Most recent maintenance signal among this shortlist.
| Signal | RecSys 计算广告/推荐系统/机器学习(Machine Learning)/点击率(CTR)/转化率(CVR)预估/点击率预估 | Gorse AI powered open source recommender system engine supports classical/LLM rankers and multimodal content via embedding | Xgboost Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow | Pytorch Lightning Pretrain, finetune ANY AI model of ANY size on 1 or 10,000+ GPUs with zero code changes. |
|---|---|---|---|---|
| Quality | 69/100 Promising | 100/100 Excellent | 100/100 Excellent | 100/100 Excellent |
| Decision verdict | 71/100 Prototype first Prototype with this skill first; keep a fallback candidate ready. | 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 | 2.1K stars 0 installs | 9.7K stars 0 installs | 28K stars 0 installs | 31K stars 0 installs |
| Freshness | Dec 17, 2019 | Jun 12, 2026 | Jun 16, 2026 | Jun 10, 2026 |
| Use-case fit | ||||
| Stack fit | ||||
| Platform hints | Machine Learning, Claude Code | Go, Machine Learning, Claude Code | C++, Machine Learning, Claude Code | Python, Machine Learning, Claude Code |
| Warnings | Repository looks stale · No OpenAgentSkill engagement data yet | No OpenAgentSkill engagement data yet | No OpenAgentSkill engagement data yet | No OpenAgentSkill engagement data yet |
| Best for | Sports analytics 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 | 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 | 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 | 0 views 0 install copies | 0 views 0 install copies | 0 views 0 install copies |
| Install | $ npx skills add mJackie/RecSys | $ npx skills add gorse-io/gorse | $ npx skills add dmlc/xgboost | $ npx skills add Lightning-AI/pytorch-lightning |