Skill comparison
Use this as a shortlist, then open the skill detail page before adopting.
Decision summary
Strongest overall
bt2020-png-generation
Use this as a leading candidate, then validate the README and install path in your own agent stack.
Fastest prototype
bt2020-png-generation
Best first install candidate based on install readiness and adoption.
Freshest repo
bt2020-png-generation
Most recent maintenance signal among this shortlist.
| Signal | bt2020-png-generation RenoDX workflow for generating, validating, or debugging BT.2020/BT.2100 HDR PNG artifacts from EXR, linear RGB, nits arrays, scalar maps, or analysis images. Use when creating PQ/ST 2084 16-bit PNGs, injecting or checking PNG cICP chunks, converting AP0/D60 or BT.709 data to BT.2020, producing Discord/Chrome HDR PNG test files, testing HDR/PQ ICC profiles with cicpTag, or avoiding repeated one-off HDR image experiments. |
|---|---|
| Quality | 83/100 Strong |
| Decision verdict | 94/100 Production-ready Use this as a leading candidate, then validate the README and install path in your own agent stack. |
| Adoption | 3.8K stars Verified outcomes are shown on each skill page |
| Freshness | Sep 7, 2026 |
| Use-case fit | |
| Workflow fit | |
| Platform hints | Claude Code |
| Warnings | No OpenAgentSkill engagement data yet |
| Best for |
| Coding agents 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 clshortfuse/renodx --skill bt2020-png-generation |