pattern-detect

# Pattern Detect Identify recurring patterns using the Agent Monitor's workflow intelligence engine. ## Input The user provides: **$ARGUMENTS** Options: "all", "tools", "errors", "workflows", "last N sessions". ## Data Sources | Endpoint | Returns | |----------|---------| | `GET /api/sessions?limit=200` | Session list with status, model, cwd, metadata | | `GET /api/analytics` | tool_usage top 20, event_types, agent_types | | `GET /api/workflows/{sessionId}` | 11 datasets per session (see below) | ### Workflow datasets used for pattern detection | Dataset | Pattern insight | |---------|----------------| | `toolFlow` | **Tool transition matrix**: tool A → tool B with counts — reveals sequential habits | | `patterns` | **Detected workflow patterns**: recurring sequences with frequency scores | | `cooccurrence` | **Agent co-occurrence**: which agents frequently run together | | `modelDelegation` | **Model habits**: which models are chosen for which task types | | `errorPropagation` | **Error patterns**: where errors start and how they cascade by agent depth | | `effectiveness` | **Subagent patterns**: which types succeed most, avg duration per type | | `compaction` | **Compaction triggers**: what causes context overflow | | `complexity` | **Complexity patterns**: session complexity scores over time | ## Pattern Categories ### 1. Tool Chain Patterns (from `toolFlow`) - **Most common sequences**: Top 10 tool transitions (e.g., Read → Edit: 145 times) - **Starter tools**: ...