Skill comparison

Compare agent skills before installing.

Put high-signal skills side by side and inspect quality, adoption, freshness, install readiness, use-case fit, and warnings in one place.

Comparing 4 skills

Use this as a shortlist, then open the skill detail page before adopting.

Decision summary

Strongest overall

Xgboost

Use this as a leading candidate, then validate the README and install path in your own agent stack.

Fastest prototype

Xgboost

Best first install candidate based on install readiness and adoption.

Freshest repo

Tvm

Most recent maintenance signal among this shortlist.

Signal	MegCC MegCC是一个运行时超轻量，高效，移植简单的深度学习模型编译器	MNN MNN: A blazing-fast, lightweight inference engine battle-tested by Alibaba, powering high-performance on-device LLMs and Edge AI.	Tvm Open Machine Learning Compiler Framework	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	53/100 Needs review	100/100 Excellent	100/100 Excellent	100/100 Excellent
Decision verdict	43/100 Needs manual review Do a manual repository review before adding this to an agent workflow.	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	482 stars Verified outcomes are shown on each skill page	16K stars Verified outcomes are shown on each skill page	14K stars Verified outcomes are shown on each skill page	28K stars