Open Skills Logo
Open Skills

context-window-management

管理大型语言模型上下文窗口的策略包括：总结、裁剪、路由及避免上下文衰减。适用于：上下文窗口、令牌限制、上下文管理、上下文工程、长文本处理场景。

查看详情
name:context-window-managementdescription:"Strategies for managing LLM context windows including summarization, trimming, routing, and avoiding context rot Use when: context window, token limit, context management, context engineering, long context."source:vibeship-spawner-skills (Apache 2.0)

Context 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