What is the main purpose of the Size Guard skill?

Size Guard ensures that context-heavy files stay within predefined line limits, preventing slow loading times and context window overflow in Claude.

How does it know which files to limit?

It reads configuration settings from the .agent-docs/memory/LINE_BUDGETS.yaml file within your repository.

Will I lose data when a file is split?

No, Size Guard is designed to preserve history by archiving files before they are split or rotated, ensuring no data is lost during the process.

Does it update my project structure automatically?

Yes, it automatically updates indexes to reference the newly created file parts, keeping your documentation links and references intact.

Why is context management important for Claude Code?

Large files can slow down AI processing and consume excessive tokens; keeping files small and relevant improves the speed and accuracy of Claude's responses.

Line Budget Size Guard

Name: Line Budget Size Guard
Author: CheekyCodexConjurer

byCheekyCodexConjurer

Productivity & Workflow

Enforces line limits and automatically rotates large context files to optimize Claude's loading speed and performance.

About

Size Guard is a context-management skill for Claude Code that prevents documentation and memory files from becoming too large and unwieldy. By monitoring predefined line budgets in your configuration, the skill automatically splits or rotates files that exceed their limits, ensuring that Claude can process information quickly and efficiently. It intelligently preserves history through archiving and updates relevant indexes to maintain project structure, making it an essential tool for developers managing long-term AI memory or extensive project documentation.

Key Features

Automated line budget enforcement via YAML configuration
Automatic index updates for new file segments
Preservation of historical data through archival guardrails
Intelligent file rotation and splitting for context-heavy data
Integrated action logging for tracking context changes
0 GitHub stars

Use Cases

Managing large .agent-docs folders that have exceeded efficient processing limits
Optimizing LLM response times by keeping input context lean and segmented
Maintaining long-term project memory without hitting context window bottlenecks

About

Key Features

Automated line budget enforcement via YAML configuration
Automatic index updates for new file segments
Preservation of historical data through archival guardrails
Intelligent file rotation and splitting for context-heavy data
Integrated action logging for tracking context changes
0 GitHub stars

Use Cases

Managing large .agent-docs folders that have exceeded efficient processing limits
Optimizing LLM response times by keeping input context lean and segmented
Maintaining long-term project memory without hitting context window bottlenecks