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fal.ai media generation -- unified access to AI models for images, videos, and audio through MCP server integration.
Codex 또는 Claude로 설치 이 Prompt를 복사해 Codex, Claude 또는 다른 어시스턴트에 붙여 넣으면 Skill 페이지를 검토하고 설치를 진행할 수 있습니다.
SOC 직업 분류 기준
Regression testing strategies for AI-assisted development. Sandbox-mode API testing without database dependencies, automated bug-check workflows, and patterns to catch AI blind spots.
Clean Architecture patterns for Android and Kotlin Multiplatform projects -- module structure, dependency rules, UseCases, Repositories, and data layer patterns.
Performance baseline and regression detection -- page performance, API latency, build times, and before/after comparison.
Turn a one-line objective into a step-by-step construction plan for multi-session, multi-agent engineering projects. Each step has a self-contained context brief so a fresh agent can execute it cold.
Automated visual testing and interaction verification -- smoke tests, interaction tests, visual regression, and accessibility audits using browser automation.
Bun as runtime, package manager, bundler, and test runner. When to choose Bun vs Node, migration notes, and Vercel support.
| name | fal-ai-media |
| description | fal.ai media generation -- unified access to AI models for images, videos, and audio through MCP server integration. |
| origin | ECC |
Unified access to multiple AI models for creating images, videos, and audio content through an MCP server integration.
Configure MCP server in ~/.claude.json with a FAL_KEY environment variable obtained from fal.ai.
