context-window-management
要約、剪定など、LLMコンテキストウィンドウを管理するための戦略。AIエージェントスキルで、作業効率と自動化能力を向上させます。
npx skills add sickn33/antigravity-awesome-skills --skill context-window-managementBefore / After 効果比較
1 组LLMは長時間の会話で初期情報を「忘れ」やすく、またはコンテキストウィンドウの制限により推論性能が低下し、トークンの無駄が深刻です。
要約、トリミング、ルーティング戦略を通じてコンテキストウィンドウを効果的に管理し、LLMが常に適切な情報を保持するようにすることで、推論精度を向上させ、トークン使用を最適化します。
description SKILL.md
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.
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