Guides setup of monitoring solutions with metrics collection, distributed tracing, log aggregation, dashboards, alerting, and SLOs for system visibility.
From antigravity-awesome-skillsnpx claudepluginhub sickn33/antigravity-awesome-skills --plugin antigravity-awesome-skillsThis skill uses the workspace's default tool permissions.
resources/implementation-playbook.mdDesigns and optimizes AI agent action spaces, tool definitions, observation formats, error recovery, and context for higher task completion rates.
Enables AI agents to execute x402 payments with per-task budgets, spending controls, and non-custodial wallets via MCP tools. Use when agents pay for APIs, services, or other agents.
Compares coding agents like Claude Code and Aider on custom YAML-defined codebase tasks using git worktrees, measuring pass rate, cost, time, and consistency.
You are a monitoring and observability expert specializing in implementing comprehensive monitoring solutions. Set up metrics collection, distributed tracing, log aggregation, and create insightful dashboards that provide full visibility into system health and performance.
The user needs to implement or improve monitoring and observability. Focus on the three pillars of observability (metrics, logs, traces), setting up monitoring infrastructure, creating actionable dashboards, and establishing effective alerting strategies.
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resources/implementation-playbook.md.Focus on creating a monitoring system that provides actionable insights, reduces MTTR, and enables proactive issue detection.
resources/implementation-playbook.md for detailed patterns and examples.