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
Erpnext is the strongest overall pick here because it has a 100/100 readiness score and fits GitHub automation.
Strongest overall
Erpnext
Use this as a leading candidate, then validate the README and install path in your own agent stack.
Fastest prototype
Erpnext
Best first install candidate based on install readiness and adoption.
Freshest repo
Cesium
Most recent maintenance signal among this shortlist.
| Signal | Pycsw pycsw is an OGC CSW server implementation written in Python. pycsw fully implements the OpenGIS Catalogue Service Implementation Specification [Catalogue Service for the Web]. Initial development started in 2010 (more formally announced in 2011). The project is certified OGC Compliant, and is an OGC Reference Implementation. pycsw allows for the publishing and discovery of geospatial metadata via numerous APIs (CSW 2/CSW 3, OpenSearch, OAI-PMH, SRU). Existing repositories of geospatial metadata can also be exposed, providing a standards-based metadata and catalogue component of spatial data infrastructures. pycsw is Open Source, released under an MIT license, and runs on all major platforms (Windows, Linux, Mac OS X). Please read the docs at https://pycsw.org/docs for more information. | Erpnext Free and Open Source Enterprise Resource Planning (ERP) | Cesium An open-source JavaScript library for world-class 3D globes and maps :earth_americas: | Turf A modular geospatial engine written in JavaScript and TypeScript |
|---|---|---|---|---|
| Quality | 81/100 Strong | 100/100 Excellent | 100/100 Excellent | 100/100 Excellent |
| Decision verdict | 80/100 Strong shortlist Shortlist this skill and compare it with close alternatives before production adoption. | 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 | 236 stars 0 installs | 36K stars 0 installs | 15K stars 0 installs | 10K stars 0 installs |
| Freshness | Jun 14, 2026 | Jun 16, 2026 | Jun 21, 2026 | Jun 20, 2026 |
| Use-case fit | ||||
| Stack fit | ||||
| Platform hints | Python, Geospatial, Claude Code | Python, Health Data, Claude Code | JavaScript, Geospatial, Claude Code | TypeScript, Geospatial, 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 | GitHub automation workflows · Claude Code teams · builders willing to evaluate younger projects | GitHub automation workflows · Claude Code teams · teams that value GitHub adoption signals | GitHub automation workflows · Claude Code teams · teams that value GitHub adoption signals | GitHub automation 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 geopython/pycsw | $ npx skills add frappe/erpnext | $ npx skills add CesiumGS/cesium | $ npx skills add Turfjs/turf |