gh-rafaelcalleja-claude-market-place-plugins-claudekit-skills/skills/claude-code/references/advanced-features.md

Advanced Features

Extended thinking, prompt caching, checkpointing, and memory management in Claude Code.

Extended Thinking

Deep reasoning for complex problems.

Enable Extended Thinking

Global configuration:

claude config set thinking.enabled true
claude config set thinking.budget 15000

Project settings (.claude/settings.json):

{
  "thinking": {
    "enabled": true,
    "budget": 10000,
    "mode": "auto"
  }
}

Command-line flag:

claude --thinking "architect microservices system"

Thinking Modes

auto: Claude decides when to use extended thinking manual: User explicitly requests thinking disabled: No extended thinking

{
  "thinking": {
    "mode": "auto",
    "budget": 10000,
    "minComplexity": 0.7
  }
}

Budget Control

Set token budget for thinking:

{
  "thinking": {
    "budget": 10000,      // Max tokens for thinking
    "budgetPerRequest": 5000,  // Per-request limit
    "adaptive": true      // Adjust based on task complexity
  }
}

Best Use Cases

• Architecture design
• Complex algorithm development
• System refactoring
• Performance optimization
• Security analysis
• Bug investigation

Example

claude --thinking "Design a distributed caching system with:
- High availability
- Consistency guarantees
- Horizontal scalability
- Fault tolerance"

Prompt Caching

Reduce costs by caching repeated context.

Enable Caching

API usage:

const response = await client.messages.create({
  model: 'claude-sonnet-4-5-20250929',
  system: [
    {
      type: 'text',
      text: 'You are a coding assistant...',
      cache_control: { type: 'ephemeral' }
    }
  ],
  messages: [...]
});

CLI configuration:

{
  "caching": {
    "enabled": true,
    "ttl": 300,
    "maxSize": "100MB"
  }
}

Cache Strategy

What to cache:

• Large codebases
• Documentation
• API specifications
• System prompts
• Project context

What not to cache:

• User queries
• Dynamic content
• Temporary data
• Session-specific info

Cache Control

// Cache large context
{
  type: 'text',
  text: largeCodebase,
  cache_control: { type: 'ephemeral' }
}

// Update without invalidating cache
{
  type: 'text',
  text: newUserQuery
  // No cache_control = not cached
}

Cost Savings

With caching:

• First request: Full cost
• Subsequent requests: ~90% discount on cached tokens
• Cache TTL: 5 minutes

Example:

Without caching:
Request 1: 10,000 tokens @ $3/M = $0.03
Request 2: 10,000 tokens @ $3/M = $0.03
Total: $0.06

With caching (8,000 tokens cached):
Request 1: 10,000 tokens @ $3/M = $0.03
Request 2: 2,000 new + 8,000 cached @ $0.30/M = $0.0024
Total: $0.0324 (46% savings)

Checkpointing

Automatically track and rewind changes.

Enable Checkpointing

claude config set checkpointing.enabled true

Settings:

{
  "checkpointing": {
    "enabled": true,
    "autoSave": true,
    "interval": 300,
    "maxCheckpoints": 50
  }
}

View Checkpoints

# List checkpoints
claude checkpoint list

# View checkpoint details
claude checkpoint show checkpoint-123

Restore Checkpoint

# Restore to checkpoint
claude checkpoint restore checkpoint-123

# Restore to time
claude checkpoint restore --time "2025-11-06T10:00:00Z"

# Restore specific files
claude checkpoint restore checkpoint-123 --files src/main.js

Create Manual Checkpoint

# Create checkpoint with message
claude checkpoint create "before refactoring auth module"

# Create at important moments
claude checkpoint create "working state before experiment"

Checkpoint Strategies

Auto-save checkpoints:

• Before major changes
• After successful tests
• Every N minutes
• Before destructive operations

Manual checkpoints:

• Before risky refactors
• At working states
• Before experiments
• After milestones

Example Workflow

# Create checkpoint before risky change
claude checkpoint create "before performance optimization"

# Make changes
claude "optimize database queries for 10x performance"

# If something breaks
claude checkpoint restore "before performance optimization"

# Or continue with improvements
claude checkpoint create "performance optimization complete"

Memory Management

Control how Claude remembers context across sessions.

Memory Locations

global: Share memory across all projects project: Project-specific memory none: Disable memory

# Set memory location
claude config set memory.location project

# Enable memory
claude config set memory.enabled true

Configuration

{
  "memory": {
    "enabled": true,
    "location": "project",
    "ttl": 86400,
    "maxSize": "10MB",
    "autoSummarize": true
  }
}

Memory Operations

# View stored memories
claude memory list

# View specific memory
claude memory show memory-123

# Clear all memories
claude memory clear

# Clear old memories
claude memory clear --older-than 7d

# Clear project memories
claude memory clear --project

What Gets Remembered

Automatically:

• Project structure
• Coding patterns
• Preferences
• Common commands
• File locations

Explicitly stored:

• Important context
• Design decisions
• Architecture notes
• Team conventions

Memory Best Practices

Project memory:

• Good for project-specific context
• Shares across team members
• Persists in .claude/memory/
• Commit to version control (optional)

Global memory:

• Personal preferences
• General knowledge
• Common patterns
• Cross-project learnings

Disable memory when:

• Working with sensitive data
• One-off tasks
• Testing/experimentation
• Troubleshooting

Example

# Remember project architecture
claude "Remember: This project uses Clean Architecture with:
- Domain layer (core business logic)
- Application layer (use cases)
- Infrastructure layer (external dependencies)
- Presentation layer (API/UI)"

# Claude will recall this in future sessions
claude "Add a new user registration feature"
# Claude: "I'll implement this following the Clean Architecture..."

Context Windows

Manage large context effectively.

Maximum Context

Model context limits:

• Claude Sonnet: 200k tokens
• Claude Opus: 200k tokens
• Claude Haiku: 200k tokens

Context Management

{
  "context": {
    "maxTokens": 200000,
    "autoTruncate": true,
    "prioritize": ["recent", "relevant"],
    "summarizeLong": true
  }
}

Strategies

Summarization:

• Auto-summarize old context
• Keep summaries of large files
• Compress conversation history

Prioritization:

• Recent messages first
• Most relevant files
• Explicit user priorities

Chunking:

• Process large codebases in chunks
• Incremental analysis
• Parallel processing

See Also

• Pricing: https://docs.claude.com/about-claude/pricing
• Token counting: https://docs.claude.com/build-with-claude/token-counting
• Best practices: references/best-practices.md
• Configuration: references/configuration.md