¿Qué hace llm-production-toolkit?
Evaluate, monitor, and secure LLM deployments with Python tools designed to reduce hallucinations and improve production reliability.
Evaluate, monitor, and secure LLM deployments with Python tools designed to reduce hallucinations and improve production reliability.
llm-production-toolkit is a Claude Code agent skill that evaluate, monitor, and secure LLM deployments with Python tools designed to reduce hallucinations and improve production reliability.
npx skills add pofaced-unattractiveness6700/llm-production-toolkitEvaluate, monitor, and secure LLM deployments with Python tools designed to reduce hallucinations and improve production reliability.
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.