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Found 18 Skills
Design and implement comprehensive evaluation systems for AI agents. Use when building evals for coding agents, conversational agents, research agents, or computer-use agents. Covers grader types, benchmarks, 8-step roadmap, and production integration.
Expert Celery distributed task queue engineer specializing in async task processing, workflow orchestration, broker configuration (Redis/RabbitMQ), Celery Beat scheduling, and production monitoring. Deep expertise in task patterns (chains, groups, chords), retries, rate limiting, Flower monitoring, and security best practices. Use when designing distributed task systems, implementing background job processing, building workflow orchestration, or optimizing task queue performance.
Configure Spring Boot Actuator for production-grade monitoring, health probes, secured management endpoints, and Micrometer metrics across JVM services.
Build and run evaluators for AI/LLM applications using Phoenix.
Rule-based anomaly detection for production systems with configurable thresholds, cooldown periods to prevent alert storms, and error pattern tracking for repeated failures.
Advanced Celery patterns including canvas workflows, priority queues, rate limiting, multi-queue routing, and production monitoring. Use when implementing complex task orchestration, task prioritization, or enterprise-grade background processing.
Load PROACTIVELY when task involves deploying, hosting, or CI/CD pipelines. Use when user says "deploy this", "set up CI/CD", "add Docker", "configure Vercel", or "set up monitoring". Covers platform-specific deployment (Vercel, Railway, Fly.io, AWS), Dockerfile creation, environment variable management, CI/CD pipeline configuration (GitHub Actions), preview deployments, health checks, rollback strategies, and production monitoring setup.
Sagemaker Endpoint Deployer - Auto-activating skill for ML Deployment. Triggers on: sagemaker endpoint deployer, sagemaker endpoint deployer Part of the ML Deployment skill category.
Vercel observability for Web Analytics, Speed Insights, logs, tracing, alerts, and observability tooling. Use when monitoring performance or debugging production behavior on Vercel.
Publishing, upgrading, and deploying Sui Move packages. Use this skill when the user needs to publish a package, upgrade a published package, deploy to multiple networks, serialize transactions for multisig signing, run a local Sui network (localnet), prepare for Mainnet launch, monitor production deployments, or debug dry run failures. Also use when the user asks about sui client publish, sui client upgrade, UpgradeCap, upgrade policies, Published.toml, --serialize-output, localnet, mainnet launch checklist, gas estimation, multisig publishing, production monitoring, rollback, incident response, devInspectTransactionBlock, or --dry-run.
This skill should be used when the user asks to "debug DSPy programs", "trace LLM calls", "monitor production DSPy", "use MLflow with DSPy", mentions "inspect_history", "custom callbacks", "observability", "production monitoring", "cost tracking", or needs to debug, trace, and monitor DSPy applications in development and production.
Deploy ContextVM servers and clients in production environments. Use when setting up production deployments, configuring Docker containers, managing environment variables, choosing relay configurations, or monitoring running services.