context-window-management

Original：🇺🇸 English

Translated

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.

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Sourcesickn33/antigravity-awesome-skills

Added on2026-02-04

NPX Install

npx skill4agent add sickn33/antigravity-awesome-skills context-window-management

SKILL.md Content

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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