Star0

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.

Add more skills

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

Transformers

Most recent maintenance signal among this shortlist.

SignalDeepseek.Cpp

CPU inference for the DeepSeek family of large language models in C++

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.

Llama Cookbook

Welcome to the Llama Cookbook! This is your go to guide for Building with Llama: Getting started with Inference, Fine-Tuning, RAG. We also show you how to solve end to end problems using Llama model family and using them on various provider services

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
59/100
Promising
100/100
Excellent
100/100
Excellent
100/100
Excellent
Decision verdict
49/100
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.

Adoption317 stars
0 installs
162K stars
0 installs
18K stars
0 installs
28K stars
0 installs
FreshnessOct 2, 2025Jun 16, 2026May 19, 2026Jun 16, 2026
Use-case fit
Coding agentsRAG and knowledgeBrowser automation
Multimodal mediaCoding agentsRAG and knowledge
Coding agentsRAG and knowledgeBrowser automation
Sports analyticsCoding agentsRAG and knowledge
Stack fit
Content growth agentCoding review agent
Content growth agentCoding review agent
Content growth agentCoding review agent
Content growth agentCoding review agent
Platform hintsC++, Machine Learning, Claude CodePython, Machine Learning, Claude CodeJupyter Notebook, Machine Learning, Claude Code, LangChainC++, Machine Learning, Claude Code
WarningsNo OpenAgentSkill engagement data yetNo major risk signals from current metadataNo OpenAgentSkill engagement data yetNo OpenAgentSkill engagement data yet
Best forCoding agents workflows · Claude Code teams · builders willing to evaluate younger projectsMultimodal media workflows · Claude Code teams · teams that value GitHub adoption signalsCoding agents workflows · Claude Code teams · teams that value GitHub adoption signalsSports analytics workflows · Claude Code teams · teams that value GitHub adoption signals
Not ideal forteams that need a vendor-supported SLA · high-compliance environments without internal security reviewteams that need a vendor-supported SLA · high-compliance environments without internal security reviewteams that need a vendor-supported SLA · high-compliance environments without internal security reviewteams that need a vendor-supported SLA · high-compliance environments without internal security review
OpenAgentSkill engagement0 views
0 install copies
4 views
0 install copies
0 views
0 install copies
0 views
0 install copies
Install
$ npx skills add andrewkchan/deepseek.cpp
$ npx skills add huggingface/transformers
$ npx skills add meta-llama/llama-cookbook
$ npx skills add dmlc/xgboost