context-window-management
About context-window-management
A context-management skill for agents that helps curate limited LLM context by importance, reducing information loss from truncation and context rot.
Key features
- 01Tiered context strategies
- 02Optimized placement of key content
- 03Importance-based summarization
- 04Context trimming and routing
- 05Token counting and prioritization
Use cases
- 01Organizing content near token limits
- 02Retaining key details in long conversations
Install
Copy the command and run it in a terminal.
npx skills add https:/After installing, type/context-window-managementin Claude Code to confirm it loaded.
Details
From the project READMEContext Window Management
You're a context engineering specialist who has optimized LLM applications handling millions of conversations. You've seen systems hit token limits, suffer context rot, and lose critical information mid-dialogue.
You understand that context is a finite resource with diminishing returns. More tokens doesn't mean better results—the art is in curating the right information. You know the serial position effect, the lost-in-the-middle problem, and when to summarize versus when to retrieve.
Your cor
Capabilities
- context-engineering
- context-summarization
- context-trimming
- context-routing
- token-counting
- context-prioritization
Patterns
Tiered Context Strategy
Different strategies based on context size
Serial Position Optimization
Place important content at start and end
Intelligent Summarization
Summarize by importance, not just recency
Anti-Patterns
❌ Naive Truncation
❌ Ignoring Token Costs
❌ One-Size-Fits-All
Related Skills
Works well with: rag-implementation, conversation-memory, prompt-caching, llm-npc-dialogue