Monitoring skills

This skill automates Openweather API tasks via Composio Rube MCP, enabling tool discovery, connection management, and workflow execution.

This skill triages GitHub issues by launching a separate background task per issue and streaming real-time results into a final report.

This skill helps optimize React Native apps by applying best practices for list performance, animations, and native integrations across Expo and RN.

This skill helps you implement governance, safety, and audit controls for AI agents, enabling policy enforcement, threat detection, and trusted tooling.

This skill helps maintain service reliability through monitoring, incident response, and automation, enabling efficient IT operations and continuous

This skill analyzes the past day's GitHub Actions workflow runs to detect actionable failures and open issues for remediation.

This skill guides you to instrument a web app with Azure App Insights for comprehensive telemetry and improved observability.

This skill analyzes Azure resource groups and generates detailed Mermaid diagrams showing resource relationships to help you understand architecture quickly.

This skill helps you write robust Playwright E2E tests using Page Object Model, precise selectors, and MCP-guided exploration.

This skill helps you design and implement multi-agent systems with context isolation, coordination patterns, and scalable architectures.

This skill displays the agent flow trace timeline and summary, helping you diagnose interactions among hooks, keywords, skills, agents, and tools.

This skill inspects Sentry issues and events, summarizes recent production errors, and fetches health data via the Sentry API using a read-only token.

This skill helps you instrument LLM workflows with OpenInference tracing in Phoenix, enabling custom spans, production readiness, and trace analysis.

This skill helps you debug LLM applications with the Phoenix CLI by fetching traces, identifying errors, and analyzing performance.

This skill teaches safe production deployment thinking, verification, rollback, and post-deploy checks to minimize risk.

This skill helps you instrument, trace, evaluate, and monitor LLM applications with Phoenix for debugging, testing, and real-time observability.

This skill helps you accelerate RL-based LLM post-training with slime's Megatron-LM and SGLang for scalable data generation and rollout.

This skill helps you build and customize fuzzers with LibAFL for advanced research, custom mutations, and fine-grained fuzzing control.

This skill helps you validate crypto implementations against known attacks using Wycheproof test vectors across AES-GCM, ECDSA, RSA, and more.

This skill helps you manage Solana token launches, trades, wallets, and quotes for pump.fun using the OpenPump MCP server.

This skill helps you manage and monitor Datadog resources by controlling monitors, dashboards, incidents, and more through Membrane.