Monitoring & Observability Agent Skills

Monitors Datadog Service Level Objectives and burn rate alerts via the Datadog API v2. Generates SLO compliance reports and triggers remediation workflows when error budgets are exhausted.

Collect local and remote Redpanda diagnostics bundles and inspect broker process info using the `rpk debug` command group, including triaging enterprise features from captured logs, metrics, and profiles.

Diagnoses and validates Redpanda Connect pipelines using linting, dry-run connection tests, logging, metrics, tracing, and health endpoints, including enterprise feature troubleshooting.

Diagnoses Redpanda broker and cluster health using debug bundles, metrics endpoints, logs, CPU profiling, and partition/raft checks, with triage playbooks for common failure modes.

Coordinates quality assurance workflows by routing testing tasks to specialized sub-skills for API testing, performance benchmarking, test analysis, tool evaluation, and process optimization.

Diagnoses AWS architecture issues and reviews Well-Architected pillars using read-only AWS CLI commands, with confirmation required for any changes.

Guides reliable application deployment with CI/CD pipelines, zero-downtime strategies, rollback plans, and post-deploy monitoring.

Provides guidance and best practices for working with Datadog, covering setup, configuration, monitoring, and troubleshooting.

Continuously monitors system performance, identifies improvement opportunities, and orchestrates skill discovery and creation to autonomously evolve capabilities.

Guides a blameless post-mortem process for incidents, covering templates, root-cause analysis, action items, and prevention.

Implements a complete observability stack with Prometheus metrics, Grafana dashboards, Jaeger distributed tracing, and structured logging, including heartbeat-based absence detection for scheduled jobs on Google Cloud.

Query and monitor UniFi network devices, clients, health, top applications, and alerts via the local UniFi OS gateway API.

Executes AWS CLI commands with parallel execution, CloudWatch statistics syntax, Cost Explorer aggregation, and output token limits.

Analyzes AWS SES sending statistics, bounce and complaint rates, identity management, configuration sets, and deliverability tracking using the SES v2 API.

Analyze AWS Config compliance and resource configuration with parallel execution and anti-hallucination guardrails.

Analyzes AWS Cognito user pools and identity pools, covering authentication flows, MFA status, app client configuration, password policy, Lambda triggers, and federation setup.

Queries and manages Seq structured log servers via the Seq HTTP API, covering log search, signals, alerts, dashboards, retention policies, and API key management.

Manages and analyzes Agora real-time communication resources, including channels, usage, and quality metrics, via the Agora REST API.

Manage Caddy web servers safely: discover live config via the admin API, inspect TLS certificates, reverse proxy routes, sites, and plugins, and validate Caddyfiles before changes.

Identifies operational toil, prioritizes automation by ROI, and provides patterns for self-healing systems and runbook automation.

Translates plain-language monitoring requests into deterministic watcher rule trees for the LaRuche system.

Queries and monitors UniFi network devices, clients, health, DPI traffic, and alerts via the local UniFi OS gateway API.

Sets up the Manifest observability plugin for agents, including installing the plugin, configuring an API key and optional custom endpoint, and verifying the gateway logs.

Initializes production-ready logging for a Next.js project using Pino and pino-roll, with file output, log rotation, and request context. Handles server-side and client-side environments, including Vercel/serverless setups.

Configures GKE observability with Cloud Logging, Cloud Monitoring, and managed Prometheus for monitoring, logging, and metrics collection.

Orchestrates end-to-end lifecycle workflows for the Adobe Dispatcher Apache HTTP Server module in AEM 6.5 LTS, from design and implementation through validation, release readiness, and incident troubleshooting.

Detects and triages explicitly-unbounded AEM queries (p.limit=-1 or setLimit(-1)) that cause OOMs, safely capping only where provably safe and escalating others for human pagination.

Makes n8n workflow failures loud, structured, and recoverable by wiring per-node error outputs, retry logic, error-trigger workflows, and proper HTTP response shapes.

Audits Convex performance for reads, subscriptions, write contention, and function limits. Use for slow features, insights findings, OCC conflicts, or read amplification.

Guides securing and deploying the Dify platform in production, covering SSRF protection, code sandboxing, Docker/Kubernetes deployment, monitoring, and recovery.

Sets up Datadog tracing for Node.js applications by installing the dd-trace library and linking to official documentation.

Integrates with the OpsGenie API using the official Node.js SDK to manage alerts and incidents.

Profiles application performance across database queries, API call chains, memory usage, bundle sizes, network waterfalls, and frontend rendering, then produces ranked optimization recommendations with estimated impact.

Monitorea servicios, configura alertas, define SLOs y responde a incidentes usando Prometheus, Grafana y logging.

Diagnose and eliminate performance bottlenecks across web, API, database, and code with load testing, profiling, and optimization techniques.

Wraps scheduled task execution with Anthropic OAuth usage limit awareness, pausing when thresholds are exceeded.