Monitoring & Observability Agent Skills

Maps external dependencies and I/O boundaries, generates chaos tests for failure modes like timeouts and connection errors, runs them, and reports resilience gaps with fixes.

Captures snapshots, clips, and motion events from configured IP cameras using the camsnap CLI.

Detects drift between declared reality (docs, manifests, inventories, ADRs) and actual reality (filesystem, git state, dependencies, hooks) on session start, reporting findings with severity and evidence.

Analyzes core dumps and live processes with GDB, correlating runtime state with source code to diagnose crashes, deadlocks, and memory issues.

Instrument LLM applications with Langfuse to trace, score, and monitor cost, quality, and latency across OpenAI and LangChain integrations.

Ingests video and audio from files, URLs, RTSP feeds, or desktop capture; indexes and searches moments with timestamps; transcodes, edits timelines, generates media assets, and creates real-time alerts for live streams.

Turn model work into a production ML system with data contracts, reproducible training, quality gates, deployable artifacts, and monitoring.

Queries and monitors a UniFi network via the local UniFi OS gateway API, providing device status, active clients, health, top applications, and recent alerts.

Operate GoHome services via gRPC discovery, metrics validation, and read-only RPC calls, with stateful actions gated on user approval.

Diagnoses repository and PWDEV Flow health without modifying the project, producing an evidence-based scorecard and readiness report.

Projeta métricas, logs, traces, dashboards, alertas e SLO com Prometheus, Grafana, Loki, Tempo, Mimir, Zabbix e Alertmanager, incluindo consultas PromQL e boas práticas de alertas.

Diagnoses Linux server issues across CPU, memory, disk, I/O, and network, and manages systemd services, SSH, and Fail2Ban on Ubuntu, Debian, and AlmaLinux.

Operates Laravel applications in production, covering Horizon, queues, scheduler, Octane, Redis, Supervisor, PHP-FPM, cache, and deployment with safety gates for destructive commands.

Opera clusters Proxmox VE e PBS via SSH ou API REST, diagnosticando quorum, Ceph, VMs, LXC, HA, replicação, storage e backup, com modo consultivo quando não há acesso configurado.

Conduz investigação de incidentes com método: triagem, hipóteses, mitigação, RCA e postmortem, priorizando evidências e confirmação humana.

Benchmark, load test, capacity plan, and cache with k6, JMeter, Locust, and pgbench. Use when the user says "slow", "performance", "load test", "stress test", "how many users can it handle", "capacity", "cache", "benchmark", "k6".

Avalia a confiabilidade de uma plataforma inteira, mapeando pontos únicos de falha, calculando error budgets a partir de SLOs, revisando prontidão para produção e analisando resiliência e capacidade.

Diagnoses WSL2 and Cursor/Claude performance issues on Windows, including memory, swap, disk, caches, and configuration, then recommends safe fixes.

Runs DNS, email security, SSL, WHOIS, and network checks by calling the dnsrobot.net API, with no API key required.

Instrument LLM applications with Langfuse for tracing, prompt management, evaluation, and cost tracking, including integrations with OpenAI, LangChain, and LlamaIndex.

Implements gradual traffic shifting, automated canary deployments with metric analysis, rollback automation, and observability dashboards for progressive releases.

Manages the lifecycle of large language models in production, covering model versioning, prompt management, inference optimization, and cost control.

Validates the integrity of a project's .planning/ directory, reporting missing files, invalid configurations, and inconsistent state, with optional auto-repair of safe issues.

Measures performance baselines, detects regressions before and after PRs, and compares stack alternatives.

Monitors a deployed URL after releases to catch regressions in HTTP status, console errors, network failures, performance metrics, content, API health, static assets, and SSE streams.

Turns model work into a production ML system with data contracts, reproducible training, quality gates, deployable artifacts, and monitoring.

Defines service level indicators, objectives, and agreements, calculates error budgets, and sets up Prometheus and Grafana monitoring for SLO compliance.

Implements service mesh with Istio or Linkerd, covering traffic management, mTLS, circuit breakers, and observability for microservices on Kubernetes.

Injects intentional failures to test system resilience using Litmus and Chaos Monkey, with a prerequisite to validate detection before running experiments.

Implements database replication, failover, backups, connection pooling, and monitoring for production PostgreSQL, MySQL, and MongoDB systems.

Implements structured logging and centralized log aggregation with Loki, Promtail, Elasticsearch, and Fluentd, including configuration, retention policies, and log analysis.

Implements FinOps practices for cloud cost management, including cost tracking, budget alerts, resource optimization, and automated cost analysis for AWS.

Designs effective alerting and incident management for production services, covering alert rules, on-call rotations, runbooks, and incident response workflows.

Operates GoHome services via gRPC discovery, metrics validation, and read-only RPC calls, with stateful actions gated on user approval.

Interact with Zabbix monitoring via the ct-zabbix-cli command-line tool, covering hosts, templates, triggers, events, logs, maintenance, dashboards, and configuration export/import.

Analyzes AWS ECS clusters, services, and tasks, including health, deployment status, task failures, capacity providers, and resource utilization, with parallel execution and anti-hallucination guardrails.