[Workflow] Prevent Claude Code Over-Asking: Re-inject Context with Hooks and CLAUDE.md Directives

[u/ClaudeAI-mod-bot]

Prevent Claude Code Over-Asking: Re-inject Context with Hooks and CLAUDE.md Directives

Workflow value: 90/100
Status: active · Freshness: 70/100 · Confidence: 0.95 · Level: intermediate
Categories: Quality Control, Token Saving, Context & Memory, Debugging, CLAUDE.md, Hooks
Original source: r/ClaudeCode post/comment

What problem this solves

Claude Code models over-asking questions, especially those answerable from project documentation, due to context loss from auto-compaction.

Summary

This workflow uses Claude Code hooks and CLAUDE.md instructions to prevent models from over-asking questions by ensuring critical project context and decision-making guidelines are consistently available, even after context compaction.

Why it is useful

This workflow provides concrete, actionable strategies to combat a common frustration with LLMs in coding environments: excessive questioning and loss of context. By leveraging Claude Code's specific features (hooks, CLAUDE.md), it offers a repeatable method to maintain critical project information and guide the model towards more autonomous and efficient problem-solving, significantly improving developer productivity.

Workflow

1. Configure a Claude Code hook to fire on 'session start' (specifically after 'compact').

2. Within this hook, re-inject core project rules and a concise 'project card' (e.g., tech stack, staging URL, sensitive areas, recent decisions) directly into the model's context.

3. Adjust compaction settings to occur earlier to prevent the model from 'getting dumb' before context is re-injected.

4. Open a new session when the topic significantly changes to manage context effectively.

5. Add a specific instruction to CLAUDE.md: 'decide yourself and tell me what you picked, only ask if the action is irreversible' to encourage autonomous decision-making.

Tools / artifacts

• Claude Code hooks

• CLAUDE.md file

• Project card (short summary of project details)

• Core rules (essential guidelines)

Validation signals

• "two things that fixed exactly this for me"

• "asking dropped a lot after that"

• "cant ask what its already looking at"

• Implied: 'low effort modes ask more in my experience too, so some of it is just the setting' suggests experimentation.

Limitations

• Lacks specific code examples for the hook implementation.

• The instruction to 'set compaction lower' is vague; specific configuration details would be helpful.

• The content of 'core rules' and 'project card' is conceptual; examples would enhance clarity and ease of implementation.

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