Prometheus Analysis
This skill should be used when the user asks to "query Prometheus", "analyze Prometheus metrics", "check Prometheus alerts", "write PromQL", "interpret Prometheus data", "fetch metrics", or mentions Prometheus querying, alerting, or metrics analysis. Provides guidance for querying and interpreting Prometheus metrics for root cause analysis.
Convex Agents Usage Tracking
Tracks LLM token consumption and usage metrics for billing, monitoring, and optimization. Use this to log token usage, calculate costs, generate invoices, and understand which agents or users consume the most resources.
Observability & Monitoring
Structured logging, metrics, distributed tracing, and alerting strategies
Performance Optimization
Full-stack performance analysis, optimization patterns, and monitoring strategies
orchestrating-tmux-claudes
Orchestrate multiple AI instances (clauded/codex CLIs) in tmux panes. Self-discovering coordinator with mandatory verification, synchronous monitoring, and auto-approval. Zero hallucination via imperative commands. (project, gitignored)
prd-v08-monitoring-setup
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sentry
Sentry API via curl. Use this skill to manage error tracking, list issues, resolve errors, and monitor releases in Sentry.
bright-data
Bright Data Web Scraper API via curl. Use this skill for scraping social media (Twitter/X, Reddit, YouTube, Instagram, TikTok), account management, and usage monitoring.
postgres-pro
Use when optimizing PostgreSQL queries, configuring replication, or implementing advanced database features. Invoke for EXPLAIN analysis, JSONB operations, extension usage, VACUUM tuning, performance monitoring. Keywords: PostgreSQL, EXPLAIN, replication, JSONB, pg_stat.
monitoring-expert
Use when setting up monitoring systems, logging, metrics, tracing, or alerting. Invoke for dashboards, Prometheus/Grafana, load testing, profiling, capacity planning. Keywords: monitoring, observability, logging, metrics, tracing, alerting, Prometheus, Grafana.
resource-monitor
Monitor system resources (CPU, memory, disk, network) during development and production.
ln-627-observability-auditor
Observability audit worker (L3). Checks structured logging, health check endpoints, metrics collection, request tracing, log levels. Returns findings with severity, location, effort, recommendations.
datadog
Query and analyze Datadog logs, metrics, APM traces, and monitors using the Datadog API. Use when debugging production issues, monitoring application performance, or investigating alerts.
cloud-cost-management
Optimize and manage cloud costs across AWS, Azure, and GCP using reserved instances, spot pricing, and cost monitoring tools.
correlation-tracing
Implement distributed tracing with correlation IDs, trace propagation, and span tracking across microservices. Use when debugging distributed systems, monitoring request flows, or implementing observability.
database-monitoring
Monitor database performance and health. Use when setting up monitoring, analyzing metrics, or troubleshooting database issues.
data-replication-setup
Set up database replication for high availability and disaster recovery. Use when configuring master-slave replication, multi-master setups, or replication monitoring.
distributed-tracing
Implement distributed tracing with Jaeger and Zipkin for tracking requests across microservices. Use when debugging distributed systems, tracking request flows, or analyzing service performance.
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