workflow-optimizerlisted

Analyze workflow patterns using the Agent Monitor's workflow intelligence API — orchestration DAGs, tool flow transitions, subagent effectiveness, model delegation patterns, error propagation by depth, concurrency lanes, compaction impact, and agent co-occurrence. Produces prioritized optimization recommendations with quantified impact.
hoangsonww/Claude-Code-Agent-Monitor · ★ 444 · AI & Automation · score 85

Install: claude install-skill hoangsonww/Claude-Code-Agent-Monitor

# Workflow Optimizer Analyze Claude Code workflows using the Agent Monitor's workflow intelligence engine. ## Input The user provides: **$ARGUMENTS** Options: "analyze", a session ID for single-session analysis, or a focus: "tools", "subagents", "cost", "errors". ## Data Sources | Endpoint | Returns | |----------|---------| | `GET /api/sessions?limit=100` | Session list with metadata | | `GET /api/workflows/{sessionId}` | **11 workflow datasets** (see below) | | `GET /api/analytics` | Tool usage top 20, event types, agent types | | `GET /api/pricing` | Model pricing rules for cost comparison | ### Workflow Intelligence API (`GET /api/workflows/{sessionId}`) Returns these 11 datasets per session: | Dataset | Content | |---------|---------| | `stats` | Aggregate session stats: tool count, agent depth, event count | | `orchestration` | **DAG**: agent nodes with parent/child edges, depths, types | | `toolFlow` | **Transition matrix**: tool A → tool B with counts (common sequences) | | `effectiveness` | **Subagent success**: per-type completion rates, avg duration, task success | | `patterns` | **Recurring sequences**: detected workflow patterns with frequency | | `modelDelegation` | **Model choices**: which models are delegated which tasks | | `errorPropagation` | **Error flow by depth**: where in the agent tree errors originate and propagate | | `concurrency` | **Concurrency lanes**: overlapping agent execution timelines | | `complexity` | **Complexity score**: numerica