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Core Concepts
- Context window = Claude's working memory; limited space that stores files, commands, messages, and tool results
- Every interaction (prompts, file reads, tool calls) consumes context space
- Context is automatically compacted when approaching the limit, which summarizes details but may lose information
Key Commands
- /context – Check current context size, categories using most space, and visual breakdown
- /compact – Manually summarize and compress context while retaining memory of previous work
- /clear – Remove all context to start completely fresh without bias from previous work
When to Use Compact vs. Clear
- Compact: Continuing work on the same feature; keeps context relevant and preserves progress
- Clear: Finished with a feature and starting something new; prevents previous work from biasing new development
Optimization Strategies
- Be specific in prompts – Explicit instructions reduce Claude's need to explore the codebase, saving context space
- **Use Claude. md file** – Store information you want Claude to remember across sessions
- Disable unused MCP servers – They load all tools into context by default; turn off unrelated ones
- Use skills instead of MCP servers – Skills save space by not loading entire toolsets into context
- Delegate with subagents – Run parallel tasks with separate context windows; use for tasks where only the answer matters, not the process
Takeaways
- Context window is limited working memory – Every prompt, file, and tool result consumes space; monitor with /context and manage proactively to avoid automatic compaction that loses information
- Use /compact to continue work, /clear to start fresh – Compact preserves progress on the same task; clear prevents bias when switching to new features
- Be specific in prompts and disable unused tools – Explicit instructions and turning off unrelated MCP servers significantly reduce context consumption
- **Use Claude. md and skills over MCP servers** – Store persistent information in Claude. md and prefer skills to avoid loading entire toolsets into context
- Delegate with subagents for parallel work – Run separate tasks in independent context windows when only the final answer matters, not the reasoning process
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