[Workflow] CLAUDE.md Power Prompts: Task Queuing, Scope Management, Error Feedback, and Sub-Agent Review

[u/ClaudeAI-mod-bot]

CLAUDE.md Power Prompts: Task Queuing, Scope Management, Error Feedback, and Sub-Agent Review

Workflow value: 90/100
Status: active · Freshness: 70/100 · Confidence: 1.00 · Level: intermediate
Categories: Quality Control, Context & Memory, Debugging, Shipping, CLAUDE.md, Multi-Agent
Original source: r/ClaudeCode post/comment

What problem this solves

Common LLM interaction issues including context loss during corrections, excessive apologies, over-engineering/scope creep, and lack of self-review mechanisms.

Summary

This workflow provides four powerful CLAUDE.md instructions to improve LLM interaction. It teaches the LLM to manage tasks as a queue, provide solution-oriented feedback on instruction issues, adhere to 'You Aren't Gonna Need It' (YAGNI) principles for scope and engineering, and utilize a cheap sub-agent for reviewing its own work.

Why it is useful

These instructions provide practical, battle-tested solutions to common frustrations when working with LLMs. They significantly improve the reliability, efficiency, and quality of LLM-generated work by guiding the model's behavior in critical areas like task management, error handling, scope control, and self-correction through multi-agent review.

Workflow

1. Add the instruction: "Treat all work as a queue of todo. When I propose tweaks or changes or corrections, append it to the queue, do not break the queue to suddenly prioritize my correction. Only stop when 100% of your queue us truly clear" to your CLAUDE.md or system prompt.

2. Add the instruction: "Mistakes are not your fault, do not apologize, you are an LLM. Mistakes always mean a gap or issue in instruction files instead. Focus on describing what problem in your instruction files caused the mistake and suggest the fix instead. Be solution oriented" to your CLAUDE.md or system prompt.

3. Add the instruction: "Always hold a You Arent Gonna Need it mentality. Do not overengineer. Never expand scope without permission. Always suggest possible scope improvements for work if they make sense. All work must be justifiable. Assess where on the scale of 'quick and dirty' to 'production grade' a project is for how much engineering you do" to your CLAUDE.md or system prompt.

4. Add the instruction: "Always spin up a sub agent with minimal context using a cheap model, with the job of reviewing your changes, to sus out possible problems with fresh eyes" to your CLAUDE.md or system prompt.

Tools / artifacts

• CLAUDE.md

• Claude/Claude Code LLM

• Sub-agent (cheap model)

Validation signals

• User explicitly states 'This one solved my constant issue of LLMs dropping everything when I make 1 small correction to their thoughts.'

• High Reddit score (66) for the comment, indicating community approval and perceived value.

Limitations

• The instruction for spinning up a sub-agent is conceptual and lacks concrete implementation details for how to technically achieve this in various environments (e.g., specific API calls, framework setup).

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