Clerivon AI is an enterprise-grade fraud detection system built on a multi-agent swarm architecture with advanced harness engineering. It automates fraud investigation, adjudication, and continuous learning through a closed-loop flywheel. Its part of our AI Agents Use cases for BFSI, Fintech, Retail , Logistics, Healthcare, Marketing
agents-usecase is a Claude Code agent skill that clerivon AI is an enterprise-grade fraud detection system built on a multi-agent swarm architecture with advanced harness engineering. It automates fraud investigation, adjudication, and continuous learning through a closed-loop flywheel. Its part of our AI Agents Use cases for BFSI, Fintech, Retail , Logistics, Healthcare, Marketing.
npx skills add dataaispark-spec/agents-usecaseClerivon AI is an enterprise-grade fraud detection system built on a multi-agent swarm architecture with advanced harness engineering. It automates fraud investigation, adjudication, and continuous learning through a closed-loop flywheel. Its part of our AI Agents Use cases for BFSI, Fintech, Retail , Logistics, Healthcare, Marketing
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.