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ai-video-studio
ai-video-studio contient 3 skills collectées depuis yfge, avec une couverture métier par dépôt et des pages de détail sur le site.
Skills dans ce dépôt
Backend validation workflow for ai-video-studio. Use when changing FastAPI endpoints, services, repositories, models, migrations, prompts, task orchestration, or when diagnosing pytest failures. Chooses between quick, full, targeted, and diagnostic backend checks while treating AGENTS.md, ai-pic-backend/TESTING_GUIDE.md, ai-pic-backend/pytest.ini, and ai-pic-backend/tests/README.md as the source of truth.
Frontend validation workflow for ai-video-studio. Use when changing Next.js pages, components, hooks, API client code, route guards, auth flows, or when deciding whether lint, tests, build, and browser verification are required. Chooses between mandatory lint, conditional frontend tests, and risk-driven builds while deferring user-visible flow checks to the MCP E2E skill.
Chrome DevTools E2E workflow for ai-video-studio. Use when a change affects login, frontend/backend integration, AI generation, image or video flows, or any user-visible path that AGENTS.md requires to be verified in a real browser. Reads AGENTS.md for the current validation policy and account, follows the shared validation matrix, captures console and network evidence, and produces an agent_chats-ready Validation section.