Workflow Optimizer
Analyze workflow patterns using the Agent Monitor's workflow intelligence API, ...
Install
npx skills add hoangsonww/Claude-Code-Agent-Monitor --skill workflow-optimizer -g -a claude-code -y- Repository
- hoangsonww/Claude-Code-Agent-Monitor1.1k
- Category
- AI and agents
- Updated
- 5d ago
- License
- MIT
- Context cost
- Lightabout 897 tokens
- Runs scripts
- No, instructions only
What it does
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.
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 |
