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 1 skill
Use this as a shortlist, then open the skill detail page before adopting.
Decision summary
TableStructureRec is the strongest overall pick here because it has a 71/100 readiness score and fits Document processing.
Strongest overall
TableStructureRec
Prototype with this skill first; keep a fallback candidate ready.
Fastest prototype
TableStructureRec
Best first install candidate based on install readiness and adoption.
Freshest repo
TableStructureRec
Most recent maintenance signal among this shortlist.
| Signal | TableStructureRec 整理目前开源的最优表格识别模型，完善前后处理，模型转换为ONNX | Organize the currently open-source optimal table recognition models, improve pre-processing and post-processing, and convert the models to ONNX. |
|---|---|
| Quality | 69/100 Promising |
| Decision verdict | 71/100 Prototype first Prototype with this skill first; keep a fallback candidate ready. |
| Adoption | 954 stars 0 installs |
| Freshness | Aug 3, 2025 |
| Use-case fit | |
| Workflow fit | |
| Platform hints | Python, OCR, Claude Code |
| Warnings | No OpenAgentSkill engagement data yet |
| Best for | 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 |
| OpenAgentSkill engagement | 0 views 0 install copies |
| Install | $ npx skills add RapidAI/TableStructureRec |