agent-expenditure
Monitor multi-agent token consumption and identify waste in parallel scheduling
Install & Use
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Help me install this AI Skill: agent-expenditure. It is used for: Monitor multi-agent token consumption and identify waste in parallel scheduling Full Skill content: https://321skill.com/skills/agent-expenditure-x-6/raw/index.md Read that page and install it.
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This Skill addresses the issue of uncontrolled token consumption in multi-agent parallel scheduling. In practical development, when multiple AI agents are dispatched simultaneously to perform tasks, coordination overhead increases dramatically with the number of agents, leading to significant token waste on file conflicts and redundant work. Developers often struggle to quantify this waste.
Usage is straightforward: simply run this Skill after your parallel agent scheduling is complete. It automatically analyzes each agent's token usage, identifies waste signals such as shared file conflicts and duplicate efforts, and generates an audit report including a Brooks' Law comparison table. You can then adjust future scheduling strategies based on the report's recommendations (e.g., reducing the number of agents, optimizing task splitting).
It is ideal for teams or individuals who frequently use multi-agent parallel development, especially those already experiencing scenarios where more agents lead to diminishing returns and persistently high token costs. Agent developers, backend developers, and DevOps engineers can all benefit by quickly pinpointing resource waste.
It is recommended to perform an audit after each large-scale parallel scheduling to establish a data-driven optimization loop. Note that it is only applicable to multi-agent parallel scenarios; single-agent workflows do not require it. Additionally, it is a post-analysis tool and cannot intervene in real-time with executing agents.
Key Features
Unlike general token monitoring tools, it is specifically designed for multi-agent parallel scenarios. It quantifies coordination overhead (e.g., shared file conflict ratio) based on Brooks' Law and provides concrete recommendations for optimizing agent count, rather than merely displaying total consumption.
Limitations
Only supports the Claude Code plugin environment and requires agents to run in a parallel scheduling mode that supports shared file system access. Analysis results depend on the completeness of agent execution logs.
FAQ
Can this Skill prevent token waste in real-time?
No, it is a post-analysis tool that runs after parallel scheduling completes, intended for review and optimizing subsequent scheduling strategies.
Can it be used for single-agent workflows?
Not needed. Single-agent workflows have no coordination overhead, making the use of this Skill meaningless.
Installation guide for AI assistants
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Visit https://321skill.com/skills/agent-expenditure-x-6/raw/index.md to read the original Skill definition (Markdown format) for agent-expenditure, and install it according to the instructions.
Raw Markdown URL for AI: /skills/agent-expenditure-x-6/raw/index.md