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
DeepSpeed is the strongest overall pick here because it has a 100/100 readiness score and fits GitHub automation.
Strongest overall
DeepSpeed
Use this as a leading candidate, then validate the README and install path in your own agent stack.
Fastest prototype
DeepSpeed
Best first install candidate based on install readiness and adoption.
Freshest repo
DeepSpeed
Most recent maintenance signal among this shortlist.
| Signal | Timber Ollama for classical ML models. AOT compiler that turns XGBoost, LightGBM, scikit-learn, CatBoost & ONNX models into native C99 inference code. One command to load, one command to serve. 336x faster than Python inference. | Great Expectations Always know what to expect from your data. | LightGBM A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks. | DeepSpeed DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective. |
|---|---|---|---|---|
| Quality | 71/100 Strong | 100/100 Excellent | 100/100 Excellent | 100/100 Excellent |
| Decision verdict | 82/100 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 | 684 stars Verified outcomes are shown on each skill page | 12K stars Verified outcomes are shown on each skill page | 18K stars Verified outcomes are shown on each skill page | 43K stars Verified outcomes are shown on each skill page |
| Freshness | Apr 16, 2026 | Jun 13, 2026 | Jun 9, 2026 | Jun 16, 2026 |
| Use-case fit | ||||
| Workflow fit | ||||
| Platform hints | Python, MLOps, Claude Code | Python, MLOps, Claude Code | C++, Machine Learning, Claude Code | Python, Machine Learning, Claude Code |
| Warnings | No OpenAgentSkill engagement data yet | No OpenAgentSkill engagement data yet | No OpenAgentSkill engagement data yet | No OpenAgentSkill engagement data yet |
| Best for | Coding agents workflows · Claude Code teams · teams that value GitHub adoption signals | Workflow automation workflows · Claude Code teams · teams that value GitHub adoption signals | Workflow automation 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 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 | 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 kossisoroyce/timber | $ npx skills add fivetran/great_expectations | $ npx skills add lightgbm-org/LightGBM | $ npx skills add deepspeedai/DeepSpeed |