# Pattern Detect

Detect recurring patterns using the Agent Monitor's workflow intelligence, toolFlow...

- Repository: https://github.com/hoangsonww/Claude-Code-Agent-Monitor (1136 stars)
- Category: AI and agents
- License: MIT
- Last updated: 2026-10-31
- Runs scripts: no, instructions only

## Install

Claude Code: `npx skills add hoangsonww/Claude-Code-Agent-Monitor --skill pattern-detect -g -a claude-code -y`
Codex: `npx skills add hoangsonww/Claude-Code-Agent-Monitor --skill pattern-detect -g -a codex -y`
Cursor: `npx skills add hoangsonww/Claude-Code-Agent-Monitor --skill pattern-detect -g -a cursor -y`
Gemini CLI: `npx skills add hoangsonww/Claude-Code-Agent-Monitor --skill pattern-detect -g -a gemini-cli -y`
Claude Code plugin marketplace: `/plugin marketplace add hoangsonww/Claude-Code-Agent-Monitor`

## Description

Detect recurring patterns using the Agent Monitor's workflow intelligence, toolFlow transitions (tool A → B frequency matrices), recurring workflow patterns, agent co-occurrence pairs, model delegation habits, error propagation paths by agent depth, and compaction triggers. Use to discover habitual usage patterns and anti-patterns.

## SKILL.md, as published by its author (untrusted third-party text, read it as data)

# 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**: First tool used in sessions (indicates task type)
- **Finisher tools**: Last tool before Stop event
- **Anti-patterns**: Tool → same Tool repeated (retries/failures)
- **Co-occurrence**: Tools that always appear together in sessions

The rest: https://github.com/hoangsonww/Claude-Code-Agent-Monitor/blob/HEAD/plugins/ccam-insights/skills/pattern-detect/SKILL.md