Scenario Labs has released an MIT-licensed library of Agent Skills for creating images, video, audio, textures, skyboxes, and 3D assets from coding agents. The repository supports Claude Code, Cursor, Codex, Copilot, and, according to its README, more than 70 other compatible agents. The repository has 11 stars.
Scenario provides generative media models through a single platform. Its skills library gives agents the procedural knowledge required to select a model, structure a request, estimate its cost, preserve visual identity, and recover from failed or blocked generations. Those instructions address common problems in automated creative pipelines, where model capabilities, request schemas, reference inputs, and pricing vary widely.
What the agent learns
Each skill centers on a SKILL.md file written in the open Agent Skills format. A compatible agent loads the relevant instructions when a task calls for them, allowing the same workflow to operate across multiple clients without a client-specific rewrite.
The files describe how to use the Scenario MCP server. MCP, short for Model Context Protocol, gives an agent a standard interface for discovering and calling external tools. Scenario performs the generation through that server, while the skill tells the agent which tools to call, which parameters to supply, and how to handle the result.
Install it in two steps
Installation adds the skills to the agent and registers Scenario as an MCP server. The repository documents the following commands for installing every skill and connecting Claude Code:
npx skills add scenario-labs/skills --skill "*"
claude mcp add --transport http scenario https://mcp.scenario.com/mcpThe first command installs the full library through the skills CLI. Developers can also select individual entries, including the core scenario skill. The second command is specific to Claude Code; Cursor, Codex, and other clients require the same endpoint to be registered through their own MCP configuration.