scenario-labs/skills
Get production-ready images, video, audio, and 3D from any AI agent: skills that pick the right model, price before spending, and keep characters and brands consistent through the Scenario MCP, plus expert teams that drive Blender, Maya, ZBrush, Unreal, and Unity.
Build with Backblaze B2
SDKs, agent skills, IDE extensions, and reference pipelines from Backblaze Labs. All open source.
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Where it stands
Rank, growth pace and release cadence relative to everything GStars tracks.
5 releases in the last 90 days, the latest 7 days ago, with 10 contributors on GitHub.
Use Cases & Benefits
- Provides AI agent skills to generate and manage production-ready images, video, audio, and 3D assets via the Scenario MCP server and expert DCC tool integrations.
- Ensures consistent character and brand fidelity across creative outputs while optimizing model choice and cost before generation.
- Use for automating game asset creation including sprites, 3D models, textures, and animations integrated with popular engines like Unity and Unreal.
- Use for producing professional video content with AI-driven editing, color grading, motion capture, and assembly workflows.
- Use for maintaining visual and style consistency across large creative projects by training custom models and managing reusable identity libraries.
Should you depend on it?
License terms, project hygiene and risks, from GitHub metadata and GStars' snapshots.
License
MIT
Permissive: commercial use, modification and redistribution are allowed with attribution.
Community files
- README: present
- Contributing guide: present
- Code of conduct: present
Watch-outs
No watch-outs from GStars' checks.
General guidance from repository metadata, not legal advice. How we score
From the README
Agent Skills that teach AI coding agents (Claude Code, Cursor, Codex, Copilot, and 70+ others) how to create production-ready content with Scenario through the Scenario MCP server: images, video, audio, textures, skyboxes, 3D assets, and custom-trained models, for games, entertainment, and any creative vertical.
The expert tools at the bottom of the list work differently: teams of skills that drive DCC (digital content creation) software and game engines installed on your machine (ZBrush, Blender, Maya, Unreal Engine, Unity, Godot, Roblox Studio), distilled from expert tutorials, conference talks, and official documentation. They need the application, not the Scenario MCP server, and each family folder's README records how it was built and how far it was verified.
Skills follow the Agent Skills format.
Everything for Scenario. Every Scenario skill, without the expert tools: the default for working through the Scenario MCP.
By role or goal. INSTALL.md groups the skills by job, from 2D artist to producer, and by outcome, from game art to ChatGPT pets, with one command each.
Daily snapshots
Stars gained per day, and how forks and open issues moved, from GStars' daily snapshots
+1,656 stars over 4 days across 3 snapshot days; best day +679 on Nov 6.
Forks
274+95
Open issues
38+6
Compared with peers in AI Agents
Fastest-growing repositories GStars tracks in this cohort for the week of Nov 1, by 7-day star growth
| Repository | Stars | +7d | Health | Last release |
|---|---|---|---|---|
| vercel-labs/agent-desktop | 17.0K | +13.3K | 33 | today |
| thedotmack/claude-mem | 113.6K | +8.8K | 35 | today |
| stablyai/orca | 116.8K | +6.6K | 40 | today |
| milind-soni/OpenMausBot | 13.5K | +6.0K | 45 | today |
| HKUDS/DeepTutor | 55.5K | +5.5K | 65 | 5 days ago |
| scenario-labs/skills | 3.1K | — | 60 | 7 days ago |
| Category median | 55.5K | +6.6K | 40 | — |
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