Skill comparison
Use this as a shortlist, then open the skill detail page before adopting.
Decision summary
Strongest overall
Tensorflow
Use this as a leading candidate, then validate the README and install path in your own agent stack.
Fastest prototype
Tensorflow
Best first install candidate based on install readiness and adoption.
Freshest repo
Tensorflow
Most recent maintenance signal among this shortlist.
| Signal | Data Science Ipython Notebooks Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines. | Tensorflow An Open Source Machine Learning Framework for Everyone |
|---|---|---|
| Quality | 81/100 Strong | 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. |
| Adoption | 29K stars Verified outcomes are shown on each skill page | 196K stars Verified outcomes are shown on each skill page |
| Freshness | Mar 20, 2024 | Jun 16, 2026 |
| Use-case fit |
| Workflow fit |
| Platform hints | Python, Machine Learning, Claude Code | C++, Machine Learning, Claude Code |
| Warnings | Repository looks stale · No OpenAgentSkill engagement data yet | No OpenAgentSkill engagement data yet |
| Best for | Browser automation workflows · Claude Code teams · teams that value GitHub adoption signals | Browser 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 |
| OpenAgentSkill engagement | 0 views 0 install copies | 0 views 0 install copies |
| Install | $ npx skills add donnemartin/data-science-ipython-notebooks | $ npx skills add tensorflow/tensorflow |