How to Supercharge Claude's Planning Mode by 10x with a Simple Rules File

Discovered from the AI community | Originally shared by @bozhou_ai

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If you've been using Claude for complex development tasks, you've probably noticed that its planning mode can sometimes feel verbose, meandering, or lacking the sharp structure you need to move fast. A clever trick circulating in the AI engineering community promises to change that — dramatically. With a simple configuration file and a few carefully crafted rules, developers are reporting up to a 10x improvement in Claude's planning mode effectiveness.

Let's break down exactly what this technique is, why it works, and how you can implement it in your own workflow today.

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What Is Claude's Planning Mode and Why Does It Matter?

Before diving into the optimization, it's worth understanding what "planning mode" actually means in the context of Claude. When you ask Claude to tackle a multi-step engineering task — building a feature, refactoring a codebase, architecting a system — it typically enters a phase where it reasons through the approach before executing. This is planning mode.

Done well, planning mode is incredibly powerful. It lets Claude:

• Break down ambiguous requirements into actionable steps
• Identify potential blockers or edge cases early
• Align with your intent before writing a single line of code
• Create a reviewable roadmap you can approve or redirect

Done poorly, planning mode produces walls of text, redundant caveats, over-explained reasoning, and plans that loop back on themselves without ever reaching a clear conclusion. Sound familiar?

The good news: Claude's behavior in planning mode is highly configurable through system-level instructions — and that's exactly what this technique exploits.

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The Core Technique: Using CLAUDE.md to Set Planning Rules

The trick shared by the AI community involves creating a persistent configuration file that Claude reads as part of its context. Here's how to set it up:

mkdir -p ~/.claude && cat >> ~/.claude/CLAUDE.md << 'EOF'
## Plan Mode

- Make the plan extremely concise.
  Sacrifice grammar for the sake of concision.
- At the end of each plan step, include a confidence score (0-100)
  indicating how certain you are about that step.
- Flag any assumptions explicitly using [ASSUME: ...]
- If a step has dependencies, list them inline as [DEPENDS: step N]
- End the entire plan with a one-line summary prefixed with TLDR:

EOF

Once this file is in place, Claude will pick up these instructions automatically during planning sessions (particularly when using tools like the Claude CLI or API integrations that respect the ~/.claude/ directory). Let's unpack why each of these rules is a game-changer.

Rule 1: Extreme Concision (Even at the Cost of Grammar)

This is the most counterintuitive — and most impactful — rule. By explicitly telling Claude to sacrifice grammar for concision, you're giving it permission to drop filler phrases, skip pleasantries, and strip plans down to their essential skeleton.

Instead of:

"The first thing we'll want to do is make sure that we have properly configured the database connection, which will be necessary for all subsequent steps to function correctly..."

You get:

"1. Configure DB connection. [CONF: 95]"

For developers scanning a plan at speed, this is a massive cognitive upgrade. You process the intent in milliseconds rather than parsing a paragraph.

Rule 2: Confidence Scores Per Step

Adding a confidence score (0–100) to each plan step is arguably the most technically valuable addition here. It forces Claude to introspect on uncertainty and surfaces that uncertainty to you in a structured, scannable way.

A confidence score of 95 on a step means Claude has high certainty — you can probably approve and move on. A score of 45 is a flashing warning light: this step needs your scrutiny, more context, or a deeper discussion before execution.

Practical example:

1. Scaffold Next.js app with TypeScript [CONF: 98]
2. Set up Prisma ORM with PostgreSQL schema [CONF: 87]
3. Implement OAuth via NextAuth [CONF: 72]
4. Deploy to Vercel with custom domain routing [CONF: 61]
   [ASSUME: DNS records are already managed by Vercel]

Step 4's lower confidence score immediately tells you: pause here, ask questions, verify assumptions. Without confidence scores, you'd have no signal until something went wrong downstream.

Rule 3: Explicit Assumption Flagging

Every plan contains hidden assumptions. The [ASSUME: ...] tag forces Claude to surface assumptions rather than bury them in prose. This single change can prevent hours of debugging caused by misaligned expectations.

Common assumptions Claude might flag:

• [ASSUME: Node.js v18+ is installed]
• [ASSUME: User already has AWS credentials configured]
• [ASSUME: Existing tests will not be modified]

When you see these flagged explicitly, you can immediately validate or correct them before a single line of code is written.

Rule 4: Dependency Mapping

The [DEPENDS: step N] notation gives you an instant dependency graph embedded in the plan itself. This is invaluable for:

• Identifying which steps can be parallelized
• Understanding the critical path
• Knowing which steps to re-evaluate if an earlier step changes

Rule 5: The TLDR Summary

Ending every plan with a TLDR: line is a small touch with big payoff. It forces Claude to synthesize the entire plan into one sentence, which serves as a quick sanity check — does this one-line summary match what you actually asked for? If not, the plan needs revision before you go deeper.

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Real-World Use Cases Where This Shines

This configuration is particularly powerful in the following scenarios:

1. Large-scale refactoring sessions When you're asking Claude to plan a migration (e.g., REST API to GraphQL, or class components to hooks), the concise format with confidence scores helps you triage risky steps instantly.

2. Greenfield project scaffolding Starting a new project involves dozens of micro-decisions. A compact, assumption-flagged plan lets you review and approve the architecture in minutes rather than hours of back-and-forth.

3. CI/CD pipeline design Pipeline planning involves complex dependencies. The [DEPENDS:] notation maps these automatically, giving you a quasi-flowchart in plain text.

4. Team collaboration workflows Share the generated plan with your team as a lightweight spec. The concise format is easy to review in pull requests, tickets, or async communications.

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Getting Started: Full Setup in 60 Seconds

Here's everything you need to implement this today:

# Create the Claude config directory
mkdir -p ~/.claude

# Write the planning mode rules
cat >> ~/.claude/CLAUDE.md << 'EOF'
## Plan Mode

- Make the plan extremely concise. Sacrifice grammar for concision.
- At the end of each plan step, include a confidence score (0-100).
- Flag assumptions explicitly using [ASSUME: ...]
- List step dependencies as [DEPENDS: step N]
- End the plan with a one-line summary prefixed with TLDR:
EOF

# Verify the file
cat ~/.claude/CLAUDE.md

That's it. From your next Claude planning session onward, you'll be operating with a structured, signal-rich, high-density planning format.

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Conclusion: Small Config, Massive Leverage

The beauty of this technique is its simplicity. You're not building a complex prompt system, fine-tuning a model, or integrating a new tool. You're writing five bullet points into a markdown file — and getting dramatically sharper, more actionable plans in return.

For developers and AI engineers who use Claude heavily in their day-to-day workflows, this kind of meta-optimization compounds over time. Every planning session is faster, every assumption is surfaced, every risky step is flagged. Over weeks and months, that adds up to a fundamentally different quality of human-AI collaboration.

Try it, tweak the rules for your own workflow, and share what works. The best part of the AI engineering community is exactly this kind of rapid, open knowledge sharing — and this gem from @bozhou_ai is a perfect example.

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Found this useful? Explore more AI automation tips and OpenClaw skill guides at ClawList.io.