Context Optimization

Claude Code session performance degrades when the context window fills with excessive data like pasted images, large file reads, and bash output accumulation. This skill analyzes your JSONL chat history to identify these specific consumption patterns and provides actionable optimization strategies.

To analyze context window usage, you can parse your JSONL chat history files to get a detailed breakdown of context consumption. Run the /context-analyzer:analyze-context command to identify what elements are consuming the most session resources.

The best way to optimize context window consumption is to identify heavy elements and apply actionable strategies like compressing pasted screenshots and optimizing file reads. This skill evaluates your session patterns to recommend specific reductions for message overhead and bash output accumulation.

Yes, you can use this context optimization skill without external dependencies. It operates by parsing your local JSONL chat history files to provide a detailed breakdown of context usage and actionable recommendations.

Yes, this tool diagnoses context consumption from pasted images, bash output accumulation, file reads, and message overhead. It parses your chat history to pinpoint exactly which elements are consuming the most context window space.

You should run a context consumption analysis when your Claude Code session is running slowly and you suspect excessive data is causing the context window to fill. It helps diagnose the problem by identifying specific consumption patterns in your JSONL chat history.