Skill comparison
Use this as a shortlist, then open the skill detail page before adopting.
Decision summary
Strongest overall
render-3d-character-explainer
Use this as a leading candidate, then validate the README and install path in your own agent stack.
Fastest prototype
render-3d-character-explainer
Best first install candidate based on install readiness and adoption.
Freshest repo
render-3d-character-explainer
Most recent maintenance signal among this shortlist.
| Signal | render-3d-character-explainer Assemble a glossy 3D-character animated-explainer video ad (~77s, 9:16) built on an "N types of X" listicle spine — a recurring human protagonist plus a locked cast of N persona characters, one per list item. Given the per-scene i2v clips + a per-scene target-duration table + a narration track, it trims each clip to its scene window, re-encodes every segment to identical 1080x1920/30fps/libx264/yuv420p (decrease+pad, never crop) so the concat demuxer never drops frames, concats, and muxes audio — in RESTYLE mode the source ad's VO+music mix is reused verbatim, in ORIGINAL mode fresh per-scene VO (loudnorm I=-14) is mixed under an optional music bed (loudnorm I=-26). A static-still fallback loops a scene's keyframe when its clip is missing/failed, so the master always assembles; libass captions are burned last. FREE deterministic assembly (Python + ffmpeg, no bash, no paid calls); the recipe supplies the clips, keyframes, VO or source audio, and caption table and gates the paid cast-anc |
|---|---|
| Quality | 78/100 Strong |
| Decision verdict | 89/100 Production-ready Use this as a leading candidate, then validate the README and install path in your own agent stack. |
| Adoption | 1.2K stars Verified outcomes are shown on each skill page |
| Freshness | Sep 1, 2026 |
| Use-case fit | |
| Workflow fit | |
| Platform hints | Claude Code |
| Warnings | The skill description claims 'no bash' but the smoke test uses bash commands for setup; this is a minor inconsistency. · No OpenAgentSkill engagement data yet |
Skill comparison
Use this as a shortlist, then open the skill detail page before adopting.
Decision summary
Strongest overall
render-3d-character-explainer
Use this as a leading candidate, then validate the README and install path in your own agent stack.
Fastest prototype
render-3d-character-explainer
Best first install candidate based on install readiness and adoption.
Freshest repo
render-3d-character-explainer
Most recent maintenance signal among this shortlist.
| Signal | render-3d-character-explainer Assemble a glossy 3D-character animated-explainer video ad (~77s, 9:16) built on an "N types of X" listicle spine — a recurring human protagonist plus a locked cast of N persona characters, one per list item. Given the per-scene i2v clips + a per-scene target-duration table + a narration track, it trims each clip to its scene window, re-encodes every segment to identical 1080x1920/30fps/libx264/yuv420p (decrease+pad, never crop) so the concat demuxer never drops frames, concats, and muxes audio — in RESTYLE mode the source ad's VO+music mix is reused verbatim, in ORIGINAL mode fresh per-scene VO (loudnorm I=-14) is mixed under an optional music bed (loudnorm I=-26). A static-still fallback loops a scene's keyframe when its clip is missing/failed, so the master always assembles; libass captions are burned last. FREE deterministic assembly (Python + ffmpeg, no bash, no paid calls); the recipe supplies the clips, keyframes, VO or source audio, and caption table and gates the paid cast-anc |
|---|---|
| Quality | 78/100 Strong |
| Decision verdict | 89/100 Production-ready Use this as a leading candidate, then validate the README and install path in your own agent stack. |
| Adoption | 1.2K stars Verified outcomes are shown on each skill page |
| Freshness | Sep 1, 2026 |
| Use-case fit | |
| Workflow fit | |
| Platform hints | Claude Code |
| Warnings | The skill description claims 'no bash' but the smoke test uses bash commands for setup; this is a minor inconsistency. · No OpenAgentSkill engagement data yet |
| Best for | Browser automation workflows · Claude Code teams · teams that value GitHub adoption signals |
| Not ideal for | teams that need a vendor-supported SLA · production agents without a repository review |
| OpenAgentSkill engagement | 0 views 0 install copies |
| Install | $ npx skills add gooseworks-ai/goose-skills --skill render-3d-character-explainer |
| Best for | Browser automation workflows · Claude Code teams · teams that value GitHub adoption signals |
| Not ideal for | teams that need a vendor-supported SLA · production agents without a repository review |
| OpenAgentSkill engagement | 0 views 0 install copies |
| Install | $ npx skills add gooseworks-ai/goose-skills --skill render-3d-character-explainer |