59 lines
1.5 KiB
Markdown
59 lines
1.5 KiB
Markdown
---
|
|
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..."
|
|
risk: unknown
|
|
source: "vibeship-spawner-skills (Apache 2.0)"
|
|
date_added: "2026-02-27"
|
|
---
|
|
|
|
# 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`
|
|
|
|
## When to Use
|
|
This skill is applicable to execute the workflow or actions described in the overview.
|