agent-expenditure
Monitor token consumption in multi-agent parallel scheduling, identify waste, and optimize efficiency.
Install & Use
Copy this prompt and send it to your AI assistant (Claude / Cursor / TRAE / Codex / WorkBuddy etc.) to auto-install:
Help me install this AI Skill: agent-expenditure. It is used for: Monitor token consumption in multi-agent parallel scheduling, identify waste, and optimize efficiency. Full Skill content: https://321skill.com/skills/agent-expenditure-x-7/raw/index.md Read that page and install it.
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This Skill addresses the issue of token resource waste caused by poor coordination in multi-agent parallel workflows. In practice, developers often need to schedule multiple AI agents simultaneously to handle complex tasks, but they lack effective tools to quantify each agent's token consumption and evaluate overall efficiency, which can lead to uncontrolled costs and resource waste.
Usage is straightforward: simply trigger this Skill for analysis after completing parallel agent scheduling. You can then use natural language commands to view detailed token usage reports, identify waste signals such as task duplication or excessive coordination overhead, and receive optimization suggestions for future scheduling scale.
It is particularly suitable for teams or individuals who frequently employ multi-agent collaboration. This includes developers already using parallel agent patterns for code generation, data analysis, or content creation, as well as project managers aiming to control AI call costs and improve workflow efficiency.
It is recommended to use this tool for review after each parallel task involving four or more agents. Note that it primarily performs post-hoc analysis and is not intended for single-agent workflows or real-time token budget control; the latter should be handled by dedicated token budget management tools.
Key Features
Unlike generic token consumption monitoring tools, it is specifically designed for multi-agent parallel scheduling scenarios. It can quantify and analyze coordination overhead (such as shared file conflicts) as mentioned in Brooks's Law and provide specific efficiency guidance based on the number of agents.
Limitations
This Skill is a post-hoc analysis tool and cannot provide real-time intervention or budget control during agent execution. Its analysis depends on the completeness of the agent runtime logs.
FAQ
Can this Skill help me control token consumption in real-time?
No, it is a post-hoc analysis tool used to evaluate efficiency and identify waste after parallel scheduling is complete. For real-time budget control, other tools such as token-conservation should be used.
Is it needed for single-agent workflows?
Not recommended. The core value of this Skill lies in analyzing coordination overhead between multiple agents. Since single-agent scenarios lack this overhead, its use offers little benefit.
Installation guide for AI assistants
If your AI coding assistant (Claude Code, Cursor, TRAE etc.) can see this page, send it this message to auto-install:
Visit https://321skill.com/skills/agent-expenditure-x-7/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-7/raw/index.md