Que fait ai-repo-structure ?
Learning and starter repository that shows how to structure a real AI-enabled repo using AGENTS.md, CLAUDE.md, internal Claude and GitHub Copilot agents and skills, hooks, and shared external skills.
Learning and starter repository that shows how to structure a real AI-enabled repo using AGENTS.md, CLAUDE.md, internal Claude and GitHub Copilot agents and skills, hooks, and shared external skills.
ai-repo-structure is a Claude Code agent skill that learning and starter repository that shows how to structure a real AI-enabled repo using AGENTS.md, CLAUDE.md, internal Claude and GitHub Copilot agents and skills, hooks, and shared external skills.
npx skills add IgniteUI/ai-repo-structureLearning and starter repository that shows how to structure a real AI-enabled repo using AGENTS.md, CLAUDE.md, internal Claude and GitHub Copilot agents and skills, hooks, and shared external skills.
ElevenLabs text-to-speech with mac-style say UX.
Oracle CLI second-model review/debug/refactor/design with selected files, dry-run token checks, API or browser engine.
Capture and automate macOS UI with the Peekaboo CLI.
You MUST use this before any creative work - creating features, building components, adding functionality, or modifying behavior. Explores user intent, requirements and design before implementation.
Prisma ORM patterns for TypeScript backends — schema design, query optimization, transactions, pagination, and critical traps like updateMany returning count not records, $transaction timeouts, migrate dev resetting the DB, @updatedAt skipped on bulk writes, and serverless connection exhaustion.
Django + Celery async task patterns — configuration, task design, beat scheduling, retries, canvas workflows, monitoring, and testing. Use when adding background jobs, scheduled tasks, or async processing to a Django app.