Claude Opus 4.7: Three Practical Patterns - Caveman Prompts, CLAUDE.md Safety Guardrails, and Git Worktrees

One-sentence takeaway

The article presents three battle-tested Claude Code usage patterns: Caveman prompts (reducing token usage by 75%), CLAUDE.md safety guardrails (with zero additional token overhead), and Git Worktrees for parallel development. They are suited to scenarios that require efficient, secure, multi-session collaboration.

Use cases

• Suitable tasks:

  • Production code development (requiring strict security controls)

  • Parallel development of multiple features (avoiding branch conflicts)

  • Long development sessions (requiring token savings)

  • Team collaboration (standardizing security rules)

• Unsuitable tasks:

  • Exploratory prototyping (Caveman mode may be too strict)

  • Simple solo projects (Git Worktrees may be overengineering)

• Applicable model version: Claude Opus 4.7

• Applicable client, Agent, or API: Claude Code CLI

• Recommended reasoning levels and parameters: Choose high or xhigh based on task complexity

Ready-to-use content

Pattern 1: Caveman prompts (reducing token usage by 75%)

Core idea: Use extremely concise, direct instructions and avoid lengthy contextual explanations.

Standard Caveman prompt template:

No greetings. No preamble. No summaries after completing a task.
Shortest correct phrasing only. Skip filler words.
If the answer is a code block, lead with the code block.

Practical example:

# Traditional approach (verbose)
"Please implement a user authentication feature. First inspect the existing authentication module,
then refer to other similar implementations in the project and make sure to follow the project's coding conventions.
After implementation, run the relevant tests and give me a detailed summary."

# Caveman approach (minimal)
"Implement user authentication. Check the existing module. Run tests."

Effect data:

• Token usage reduced by 75%

• Faster response times

• Code quality remains unchanged (because Claude follows the conventions in CLAUDE.md)

Why it works:

1. Claude Code already understands project conventions through CLAUDE.md.

2. Repetitive pleasantries and contextual explanations are redundant.

3. The model already has sufficient contextual understanding.

Pattern 2: CLAUDE.md safety guardrails (zero additional token overhead)

Core idea: Define strict safety rules in CLAUDE.md to prevent dangerous operations.

Production safety guardrail template:

## Safety rules
This is a production environment.
- Confirm before destructive actions.
- Do not make DB changes without explicit permission.
- Commit existing state before batch changes.
- Check port conflicts before starting servers.
- Never drop tables without asking first.
- Always backup before migration.

Examples of specific safety rules:

## Safety rules

### Database operations
- Never execute DROP TABLE/DATABASE directly.
- Run `npm run db:backup` before modifying the schema.
- All migrations must first run as a dry run: `npm run db:migrate --dry-run`

### File operations
- Confirm before deleting files: `rm -rf` requires a second confirmation.
- Save the current state with git commit before batch changes.

### Service operations
- Check port usage before starting services: `lsof -i :3000`
- Do not kill processes directly; first confirm which process it is.

### Production environment
- Never modify the production database.
- Do not send real emails/messages (use a mock).
- Do not call external paid APIs (use a test key).

Why it works:

• Zero additional token overhead (CLAUDE.md is loaded through the prompt cache).

• The rules are applied automatically in every session.

• It prevents irreversible damage caused by accidental operations.

Production practice:

# Add to CLAUDE.md
cat >> CLAUDE.md << 'EOF'

## Safety rules
This is a production environment.
- Confirm before destructive actions.
- Do not modify the database without explicit permission.
- Commit the current state before batch operations.
- Check for port conflicts before starting services.
EOF

Pattern 3: Git Worktrees for parallel development

Core idea: Use Git Worktrees to create an independent working directory for each feature, avoiding the confusion of switching branches.

Problem scenario:

• Developing feature A on the main branch

• Needing to switch to a branch to handle an urgent bug

• Losing uncommitted changes and context

• Multiple Claude sessions potentially conflicting

Git Worktrees solution:

# Create a worktree for feature A
git worktree add ../feature-auth feature/auth

# Create a worktree for feature B
git worktree add ../feature-payments feature/payments

# Create a worktree for the hotfix
git worktree add ../hotfix-login hotfix/login-bug

# List all worktrees
git worktree list

# Remove the worktree when finished (the branch is not deleted)
git worktree remove ../feature-auth

Parallel Claude session workflow:

# Terminal 1: feature A
cd ../feature-auth
claude
# Start developing the authentication feature...

# Terminal 2: feature B (running simultaneously)
cd ../feature-payments
claude
# Start developing the payments feature...

# Terminal 3: hotfix (running simultaneously)
cd ../hotfix-login
claude
# Fix the login bug...

Why it works:

1. Each worktree has an independent file system and Git state.

2. Different Claude sessions do not interfere with one another.

3. There is no need to switch branches or save and restore context frequently.

4. Multiple features can be developed in true parallel.

Practical workflow:

# 1. Plan the tasks
# Determine the list of features to develop in parallel

# 2. Create worktrees
git worktree add ../feature-auth feature/auth
git worktree add ../feature-payments feature/payments
git worktree add ../feature-dashboard feature/dashboard

# 3. Start a Claude session in each worktree
for dir in feature-auth feature-payments feature-dashboard; do
  cd ../$dir
  claude &  # Run in the background
  cd -
done

# 4. Monitor progress
# Use tmux or separate terminal windows to monitor each session

# 5. Clean up when finished
git worktree remove ../feature-auth
git worktree remove ../feature-payments
git worktree remove ../feature-dashboard

Notes:

• Each worktree consumes additional disk space.

• Enough memory is required to run multiple Claude sessions.

• Git conflicts still need to be resolved during merging.

Combining all three patterns

Complete production environment configuration example:

# CLAUDE.md

## Response style
No greetings. No preamble. No post-task summaries.
Shortest correct phrasing. Lead with code when the answer is code.

## Safety rules
This is a production environment.
- Confirm before destructive actions.
- Do not make DB changes without explicit permission.
- Commit existing state before batch changes.
- Check port conflicts before starting servers.

## Workflow
This repo uses git worktrees for parallel sessions.
Check `git worktree list` if you are unsure which branch you are on.

## Testing
- Run tests: npm test
- Coverage target: 80% minimum

## Git
- Branch naming: feat/, fix/, chore/, docs/
- Commit format: conventional commits
- Never commit directly to main

Practical usage flow:

# 1. Create a worktree for the new feature
git worktree add ../feature-user-profile feature/user-profile

# 2. Enter the worktree and start Claude
cd ../feature-user-profile
claude

# 3. Use a Caveman prompt
"Implement the user profile page. Include avatar upload. Run tests."

# 4. Claude automatically follows the safety rules in CLAUDE.md

# 5. Return to the main directory and clean up when finished
cd ..
git worktree remove ../feature-user-profile

Testing/workflow steps

1. Set up Caveman prompts:

   • Add the Response style rules to CLAUDE.md.

   • Practice concise prompts and observe the token savings.

   • Ensure that code quality is not affected.

2. Configure safety guardrails:

   • Identify dangerous operations in the project.

   • Define clear safety rules in CLAUDE.md.

   • Test whether the rules are enforced correctly (try to trigger a prohibited operation).

3. Set up Git Worktrees:

   # Check whether worktrees are supported
   git --version  # Requires Git 2.5+
   
   # Create the first worktree
   git worktree add ../test-feature test/feature
   cd ../test-feature
   ls  # Verify that the files are independent
   
   # Return to the main directory
   cd -
   git worktree list  # View the list
   
   # Clean up
   git worktree remove ../test-feature

4. Practice parallel development:

   • Plan 2-3 features that can be developed in parallel.

   • Create a worktree for each feature.

   • Start Claude sessions in different terminals.

   • Monitor progress and handle conflicts.

5. Optimize the combined setup:

   • Configure all three patterns in CLAUDE.md.

   • Establish a standardized team workflow.

   • Record token savings and efficiency gains.

Original evidence and data

The article provides complete practical examples:

• A specific comparison showing a 75% reduction in tokens with Caveman prompts

• A complete configuration example for production safety guardrails

• Command sequences and a parallel workflow for Git Worktrees

• A complete example combining all three patterns

The article emphasizes that these are “patterns that actually work,” validated in real projects.

Scope and limitations

• Caveman prompts:

  • Suitable for developers familiar with the project

  • Unsuitable for exploratory tasks that require detailed explanations

  • Depend on sufficient context in CLAUDE.md

• Safety guardrails:

  • Rules must be clear and executable

  • Rules that are too strict may reduce efficiency

  • They need to be adjusted for the project type

• Git Worktrees:

  • Require Git 2.5 or later

  • Consume additional disk space (each worktree is a complete copy)

  • Require enough memory to run multiple Claude sessions

  • Git conflicts still need to be resolved during merging

• Combined use:

  • Suitable for team collaboration and standardized processes

  • Requires upfront configuration and training

  • Unsuitable for rapid prototyping

Source excerpt or observation

Article title: “3 Claude Code Patterns That Actually Work: Caveman Prompts, CLAUDE.md Guards, and Git Worktrees”

Core argument: These three patterns have been validated in practice and can significantly improve Claude Code's efficiency, safety, and ability to work in parallel.

Key data points:

• Caveman prompts reduce token usage by 75%

• Safety guardrails have zero additional token overhead

• Git Worktrees enable true parallel development