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
PaddleOCR is the strongest overall pick here because it has a 100/100 readiness score and fits Document processing.
Strongest overall
PaddleOCR
Use this as a leading candidate, then validate the README and install path in your own agent stack.
Fastest prototype
PaddleOCR
Best first install candidate based on install readiness and adoption.
Freshest repo
Lance
Most recent maintenance signal among this shortlist.
| Signal | Lance Open Lakehouse Format for Multimodal AI. Convert from Parquet in 2 lines of code for 100x faster random access, vector index, and data versioning. Compatible with Pandas, DuckDB, Polars, Pyarrow, and PyTorch with more integrations coming.. | Notebooks A collection of tutorials on state-of-the-art computer vision models and techniques. Explore everything from foundational architectures like ResNet to cutting-edge models like RF-DETR, YOLO11, SAM 3, and Qwen3-VL. | X AnyLabeling Effortless data labeling with AI support from Segment Anything and other awesome models. | 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. |
|---|---|---|---|---|
| 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 | 6.7K stars 0 installs | 9.5K stars 0 installs | 9.4K stars 0 installs | 82K stars 0 installs |
| Freshness | Jun 14, 2026 | May 21, 2026 | Jun 6, 2026 | Jun 12, 2026 |
| Use-case fit | ||||
| Stack fit | ||||
| Platform hints | Rust, Machine Learning, Claude Code | Jupyter Notebook, Machine Learning, Claude Code | Python, OCR, Claude Code | Python, OCR, Claude Code |
| Warnings | No OpenAgentSkill engagement data yet | No OpenAgentSkill engagement data yet | No OpenAgentSkill engagement data yet | No OpenAgentSkill engagement data yet |
| Best for | Coding agents workflows · Claude Code teams · teams that value GitHub adoption signals | Multimodal media workflows · Claude Code teams · teams that value GitHub adoption signals | Document processing workflows · Claude Code teams · teams that value GitHub adoption signals | Document processing 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 | 0 views 0 install copies |
| Install | $ npx skills add lance-format/lance | $ npx skills add roboflow/notebooks | $ npx skills add CVHub520/X-AnyLabeling | $ npx skills add PaddlePaddle/PaddleOCR |