31 plugins for Prometheus development
Accelerate building production-ready Go applications with 35 AI agent skills that enforce idiomatic patterns, optimize performance via benchmarks and profiling, integrate databases and gRPC, add observability and structured logging, write comprehensive tests, set up GitHub Actions CI/CD, manage dependencies securely, and troubleshoot bugs.
Orchestrate multi-agent teams for complex AI-driven projects: decompose tasks, match capabilities, coordinate workflows, manage shared context and errors, distribute workloads, monitor performance with Prometheus and OpenTelemetry, and synthesize insights from interactions. Integrates PowerShell, .NET, Azure ops via specialist subagents.
Build and navigate virtual memory palaces to spatially organize knowledge from coding sessions, PR reviews, articles, and digital gardens. Capture insights, retrieve context semantically or associatively, track decisions across conversations, and maintain garden health for superior recall and code quality.
Query 18 specialized AI skills to review Go code for idiomatic patterns, architecture, concurrency safety, error handling, and test quality; design REST/gRPC APIs with OpenAPI; audit security, dependencies, performance; implement database access, observability, and modern Go features in backend services.
Centralize performance metrics from apps, systems, databases, caches, and services into Prometheus, StatsD, or CloudWatch using unified naming. Generate instrumentation code, Prometheus configs, Grafana dashboards, retention policies, and alerts for comprehensive monitoring workflows.
Delegate SRE expertise to an agent for production incident response with triage, roles, and templates; generate Prometheus queries for golden signals, SLIs, alerting rules, and dashboards; define SLOs, error budgets, and capacity plans; implement JavaScript patterns like circuit breakers and retries for reliable distributed systems.
Delegate full observability engineering to AI agents that implement structured logging pipelines, configure Prometheus monitoring and Grafana dashboards with SLOs and alerting, and instrument OpenTelemetry tracing for distributed systems debugging and incident response optimization.
Delegate SRE workflows to an expert agent that guides incident response with triage processes and roles, generates Prometheus queries and alerting rules for monitoring golden signals, defines SLOs and error budgets, and provides JavaScript patterns like circuit breakers for reliable distributed systems.
Delegate observability implementation to expert agents that handle OpenTelemetry instrumentation for distributed tracing, structured logging pipelines with tools like Vector and Loki, Prometheus metrics and alerting, Grafana dashboards, SLO definitions, and incident response workflows for optimized system debugging.
Process and transform data using jq, SQL, or pandas; design ETL/ELT pipelines for batch or streaming; perform time series forecasting, anomaly detection, and analytics; architect streaming systems with Kafka; generate insights and visualizations via natural language commands and specialist agents.
Investigate observability stacks by querying traces, logs, and metrics in OpenSearch with PPL and Prometheus with PromQL, correlating via OTel conventions from metric spikes to error logs, checking component health, and defining SLOs/SLIs.
Run syncable CLI skills to analyze project tech stacks and monorepos, audit dependencies for CVEs/licenses/copyleft, scan code for secrets/vulnerabilities/insecure patterns, validate IaC (Dockerfiles/Compose/Terraform/K8s manifests), optimize K8s clusters for cost/resources, and execute secure deployments to GCP/Azure with audits.