Monitors token usage and coordination overhead in multi-agent workflows to optimize resource efficiency.
The Agent Expenditure Tracker provides specialized tools for monitoring and evaluating token consumption during parallel agent dispatches. By applying Brooks's Law to AI workflows, it helps developers identify coordination overhead, detect waste signals like redundant work or shared-file conflicts, and ensure that increasing agent counts actually translates to proportional value. This skill is essential for teams using Claude Code in complex, multi-agent environments where cost-efficiency and output quality must be balanced through post-hoc analysis and architectural retrospectives.
Key Features
01Post-dispatch review checklist to identify redundant work patterns
02Coordination overhead analysis based on Brooks's Law principles
03Detection of waste signals and concurrent file access conflicts
04Per-agent token usage tracking for parallel dispatch workflows
05262 GitHub stars
06Integration with planning rules for high-agent-count tasks
Use Cases
01Evaluating the cost-effectiveness of large-scale parallel code generation
02Conducting retrospectives on resource-heavy automated workflows
03Determining the optimal number of agents for specific engineering tasks
