# Workflow Optimizer

Analyze workflow patterns using the Agent Monitor's workflow intelligence API, ...

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

## Description

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.

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

# 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**: numerical score based on depth, breadth, tool diversity |
| `compaction` | **Compaction impact**: token savings, frequency, context health |
| `cooccurrence` | **Agent pairs**: which agents frequently run together |

## Optimization Analyses

The rest: https://github.com/hoangsonww/Claude-Code-Agent-Monitor/blob/HEAD/plugins/ccam-productivity/skills/workflow-optimizer/SKILL.md