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
Llm Course is the strongest overall pick here because it has a 100/100 readiness score and fits Coding agents.
Strongest overall
Llm Course
Use this as a leading candidate, then validate the README and install path in your own agent stack.
Fastest prototype
Llm Course
Best first install candidate based on install readiness and adoption.
Freshest repo
Ray
Most recent maintenance signal among this shortlist.
| Signal | Ggml Tensor library for machine learning | 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 | Llm Course Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks. | Ray Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads. |
|---|---|---|---|---|
| Quality | 100/100 Excellent | 100/100 Excellent | 100/100 Excellent | 100/100 Excellent |
| Decision verdict | 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. | 100/100 Production-ready Use this as a leading candidate, then validate the README and install path in your own agent stack. |
| Adoption | 15K stars Verified outcomes are shown on each skill page | 28K stars Verified outcomes are shown on each skill page | 80K stars Verified outcomes are shown on each skill page | 43K stars Verified outcomes are shown on each skill page |
| Freshness | Jun 15, 2026 | Jun 16, 2026 | Feb 5, 2026 | Jun 16, 2026 |
| Use-case fit | ||||
| Workflow fit | ||||
| Platform hints | C++, Machine Learning, Claude Code | C++, Machine Learning, Claude Code | 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 major risk signals from current metadata |
| Best for | Coding agents 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 | RAG and knowledge 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 | 35 views 1 install copies |
| Install | $ npx skills add ggml-org/ggml | $ npx skills add dmlc/xgboost | $ npx skills add mlabonne/llm-course | $ npx skills add ray-project/ray |