If you're running complex Claude Code workflows with multiple subagents, tool chains, and model delegation, this gives you forensic level visibility into what's actually happening. It pulls eleven different datasets from the Agent Monitor API, from orchestration DAGs to tool transition matrices to error propagation patterns, then produces ranked optimization recommendations with estimated savings. You'd use this when your workflows feel inefficient but you're not sure where the waste is. The model delegation analysis alone is worth it if you're burning Opus tokens on tasks that Haiku could handle. It's basically a profiler for agentic workflows, assuming you're already using Agent Monitor to capture the telemetry.
npx -y skills add hoangsonww/claude-code-agent-monitor --skill workflow-optimizer --agent claude-codeInstalls into .claude/skills of the current project.
Select a file.
sickn33/antigravity-awesome-skills
kubesphere/kubesphere
supercent-io/skills-template