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
Transformers is the strongest overall pick here because it has a 100/100 readiness score and fits Multimodal media.
Strongest overall
Transformers
Use this as a leading candidate, then validate the README and install path in your own agent stack.
Fastest prototype
Transformers
Best first install candidate based on install readiness and adoption.
Freshest repo
Opensmile Python
Most recent maintenance signal among this shortlist.
| Signal | Opensmile Python Python package for openSMILE | Transformers 🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training. | Pytorch Lightning Pretrain, finetune ANY AI model of ANY size on 1 or 10,000+ GPUs with zero code changes. | 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 |
|---|---|---|---|---|
| Quality | 77/100 Strong | 100/100 Excellent | 100/100 Excellent | 100/100 Excellent |
| Decision verdict | 76/100 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 | 334 stars Verified outcomes are shown on each skill page | 162K stars Verified outcomes are shown on each skill page | 31K stars Verified outcomes are shown on each skill page | 28K stars Verified outcomes are shown on each skill page |
| Freshness | Sep 15, 2026 | Jun 16, 2026 | Jun 10, 2026 | Jun 16, 2026 |
| Use-case fit | ||||
| Workflow fit | ||||
| Platform hints | BitBake, Machine Learning, Claude Code | Python, Machine Learning, Claude Code | Python, Machine Learning, Claude Code | C++, 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 | Multimodal media workflows · Claude Code teams · builders willing to evaluate younger projects | Multimodal media workflows · Claude Code teams · teams that value GitHub adoption signals | Coding agents 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 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 audeering/opensmile-python | $ npx skills add huggingface/transformers | $ npx skills add Lightning-AI/pytorch-lightning | $ npx skills add dmlc/xgboost |