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Context Window Management

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...

Authordavila7

Version1.0.0

LicenseMIT

Token count~358

UpdatedMay 27, 2026

Install

Quick install

via npx skills · works with 57+ agents

npx skills add https://github.com/davila7/claude-code-templates/tree/main/cli-tool/components/skills/ai-research/context-window-management

Or pick agent:

npx skills add davila7/claude-code-templates --skill context-window-management --agent claude-code

npx skills add davila7/claude-code-templates --skill context-window-management --agent cursor

npx skills add davila7/claude-code-templates --skill context-window-management --agent codex

npx skills add davila7/claude-code-templates --skill context-window-management --agent opencode

npx skills add davila7/claude-code-templates --skill context-window-management --agent github-copilot

npx skills add davila7/claude-code-templates --skill context-window-management --agent windsurf

More install options

Shorthand — useful for multi-skill repos:

npx skills add davila7/claude-code-templates --skill context-window-management

Manual — clone the repo and drop the folder into your agent's skills directory:

git clone https://github.com/davila7/claude-code-templates.git

cp -r claude-code-templates/cli-tool/components/skills/ai-research/context-window-management ~/.claude/skills/

How to use: Once installed, ask your agent to "use the context-window-management skill" or describe what you want (e.g. "Strategies for managing LLM context windows including summarization, trimming, r"). Requires Node.js 18+.

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

SKILL.md source

---
name: context-window-management
description: 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 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`

Development