Claude Code Skill Memory Limit Exceeded Process Killed Fix

Memory limit exceeded errors can abruptly terminate your Claude Code sessions, especially when working with resource-intensive tasks like PDF processing, large codebase analysis, or generating complex output. This guide provides practical solutions for developers and power users facing these issues.

Understanding the Error

When Claude Code encounters a memory limit exceeded error, you typically see messages like “Process killed” or “Out of memory” in your terminal. This occurs when the operating system terminates the Node.js process that runs Claude Code to prevent a complete system freeze.

The error is particularly common when:

• Processing large PDF documents with the /pdf skill
• Running extensive code analysis with /tdd across a large codebase
• Working with very large files in /canvas-design
• Indexing many documents through the /supermemory skill

Note: Claude Code skills do not have their own CLI syntax like claude -s skill-name or flags like --max-memory. Skills are plain Markdown files stored in ~/.claude/skills/ and are invoked interactively by typing /skill-name in a Claude Code session. Memory management happens at the OS and process level, not through skill configuration.

Quick Fixes for Memory Issues

1. Increase System Memory Limits

For Linux systems, you can adjust the memory limit for user processes:

# Check current memory limits
ulimit -a

# Temporarily increase virtual memory (soft limit)
ulimit -v unlimited

# Permanently increase by editing /etc/security/limits.conf
sudo nano /etc/security/limits.conf
# Add these lines:
# username soft nofile 65536
# username hard nofile 65536
# username soft memlock unlimited
# username hard memlock unlimited

2. Optimize Skill Task Scope

When using the /pdf skill for large documents, break your request into smaller chunks within the conversation:

# Instead of asking Claude to process an entire large document at once,
# guide it to work section by section:

/pdf
Please extract and summarize pages 1 through 50 of large-document.pdf only.
Then stop and wait for my confirmation before continuing.

This keeps individual operations within memory bounds.

3. Use Swap Space Effectively

For systems with limited RAM, configure swap space:

# Check swap usage
swapon --show

# Create additional swap file (4GB example)
sudo fallocate -l 4G /swapfile
sudo chmod 600 /swapfile
sudo mkswap /swapfile
sudo swapon /swapfile

# Make swap permanent (add to /etc/fstab)
/swapfile none swap sw 0 0

Skill-Specific Solutions

PDF Processing

The /pdf skill is particularly memory-intensive when handling large documents. Guide it to work incrementally:

Start a Claude Code session and invoke the skill, then ask it to process the document in stages:

/pdf
I have a 300-page document. Please start by extracting and summarizing
only the first 50 pages. I will ask you to continue from page 51 once
you are done.

You can also pre-split the PDF using external tools before invoking the skill:

# Split using pdftk before your Claude session
pdftk large.pdf cat 1-50 output part1.pdf
pdftk large.pdf cat 51-100 output part2.pdf

Then process each part in a separate Claude Code conversation using /pdf.

TDD and Code Analysis

The /tdd skill benefits from scoped requests. Rather than asking it to analyze an entire large codebase, direct it to specific directories or modules:

/tdd
Generate unit tests for the authentication module only.
Focus on ./src/auth/ — ignore other directories.

Follow up with additional scoped requests for other modules once the first completes.

supermemory Indexing

When the /supermemory skill is indexing a large collection of notes or documents, memory exhaustion can occur. Work in batches by asking it to index a subset at a time:

/supermemory
Index only the files in ./notes/2026-q1/ for now.
I will ask you to index additional folders after this completes.

Monitoring and Prevention

Use Memory Monitoring Tools

Keep track of memory usage during skill execution:

# Monitor in real-time
watch -n 1 free -h

# Log memory usage over time
while true; do
  date >> memory.log
  free -h >> memory.log
  sleep 60
done

Set Node.js Heap Size

Claude Code runs on Node.js. You can increase the V8 heap size via environment variable before launching:

# Increase Node.js max heap to 8GB
NODE_OPTIONS="--max-old-space-size=8192" claude

This is the correct way to influence Claude Code’s memory ceiling. Note that ~/.claude/settings.json does not support memory, max_heap_size, gc_enabled, or per-skill memory fields — those are not valid configuration keys. The NODE_OPTIONS environment variable is the appropriate lever.

Advanced Solutions

Container-Based Isolation

For truly memory-intensive operations, consider running Claude Code inside a Docker container with explicit memory limits:

# Dockerfile.claude
FROM ubuntu:22.04
RUN apt-get update && apt-get install -y \
    nodejs \
    npm \
    python3 \
    && rm -rf /var/lib/apt/lists/*

# Run with memory limits
docker run --memory=8g --memory-swap=12g -it your-claude-image

Profile Memory Usage

Identify which operations consume the most memory:

# Use /usr/bin/time for memory profiling
/usr/bin/time -v claude

# Look for these fields in output:
# Maximum resident set size (kbytes)
# Minor (reclaiming a frame) page faults

Common Scenarios and Fixes

Scenario 1: /pdf Skill Crashes on Large Files

Problem: Processing a 500+ page PDF causes a “process killed” error.

Solution:

1. Split the PDF using external tools first: pdftk large.pdf burst
2. Process each chunk in a separate Claude Code session using /pdf
3. Ask Claude to summarize one section at a time and combine the results

Scenario 2: /tdd Runs Out of Memory on Large Codebases

Problem: Generating tests for an entire repository exhausts available memory.

Solution:

1. Scope the request to one module at a time
2. Use /tdd on a single file or directory per session
3. Close and reopen Claude Code between large modules to free heap memory

Scenario 3: /supermemory Indexing Fails

Problem: Indexing a large knowledge base causes memory exhaustion.

Solution:

1. Ask /supermemory to index one folder at a time
2. Start a fresh Claude Code session between large indexing batches
3. Increase swap space to provide overflow capacity (see swap section above)

Prevention Best Practices

1. Always monitor memory usage before running intensive skills
2. Start small when testing skills with large datasets
3. Use incremental processing — ask skills to work in sections, not all at once
4. Increase Node.js heap via NODE_OPTIONS before launching for heavy workloads
5. Keep swap space available as a safety net
6. Restart Claude Code between very large operations to reclaim heap memory

When memory errors persist despite these fixes, consider upgrading your system RAM or using remote compute resources for memory-intensive tasks. The combination of proper environment configuration, monitoring, and incremental task scoping resolves the majority of memory limit exceeded issues with Claude Code skills.

Related Reading

• Claude Code Skills Context Window Exceeded Error Fix — Fix context window errors alongside memory limit issues for smooth skill performance.
• Claude Skills Slow Performance: Speed Up Guide — Investigate related performance bottlenecks that accompany memory limit errors.
• Claude Code Skills Context Window Exceeded Error Fix — Resolve context window errors that often appear together with memory limit issues.
• Getting Started with Claude Skills — Learn best practices for skill configuration to prevent resource limit errors.

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