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.

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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.

SignalRos Autonomous Slam

ROS package which uses the Navigation Stack to autonomously explore an unknown environment with help of GMAPPING and constructs a map of the explored environment. Finally, a path planning algorithm from the Navigation stack is used in the newly generated map to reach the goal. The Gazebo simulator is used for the simulation of the Turtlebot3 Waffle Pi robot. Various algorithms have been integrated for Autonomously exploring the region and constructing the map with help of the 360-degree Lidar sensor. Different environments can be swapped within launch files to generate a map of the environment.

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.

PaddleOCR

Turn any PDF or image document into structured data for your AI. A powerful, lightweight OCR toolkit that bridges the gap between images/PDFs and LLMs. Supports 100+ languages.

Ragflow

RAGFlow is a leading open-source Retrieval-Augmented Generation (RAG) engine that fuses cutting-edge RAG with Agent capabilities to create a superior context layer for LLMs

Quality
50/100
Needs review
100/100
Excellent
100/100
Excellent
100/100
Excellent
Decision verdict
40/100
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.

Adoption267 stars
0 installs
162K stars
0 installs
83K stars
0 installs
83K stars
0 installs
FreshnessMay 26, 2022Jun 16, 2026Jun 16, 2026Jun 13, 2026
Use-case fit
Stack fit
Platform hintsPython, ROS, Claude CodePython, Machine Learning, Claude CodePython, OCR, Claude CodePython, AI Agents, Claude Code
WarningsRepository looks stale · No OpenAgentSkill engagement data yetNo major risk signals from current metadataNo OpenAgentSkill engagement data yetNo OpenAgentSkill engagement data yet
Best forWorkflow automation workflows · Claude Code teams · builders willing to evaluate younger projectsMultimodal media workflows · Claude Code teams · teams that value GitHub adoption signalsDocument processing workflows · Claude Code teams · teams that value GitHub adoption signalsRAG and knowledge workflows · Claude Code teams · teams that value GitHub adoption signals
Not ideal forteams that require actively maintained dependencies · production agents without a repository 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
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Install
$ npx skills add fazildgr8/ros_autonomous_slam
$ npx skills add huggingface/transformers
$ npx skills add PaddlePaddle/PaddleOCR
$ npx skills add infiniflow/ragflow