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Design
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/context-window-design

Designing around token limits, memory, and conversation persistence.

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ai-design-skills
18844 skills18 commands
Install
$ npx -y skills add owl-listener/ai-design-skills --skill context-window-design --agent claude-code

How it fires

How this skill gets triggered: by you, by Claude, or both.

  • Fires itselfAuto-invocation. Claude auto-loads it when your prompt matches the work.Auto-invocation is when the right skill fires by itself at the right moment, driven by a FLOW.md router and a hook, instead of you invoking it by name. It is the difference between a skill being installed and a skill actually getting used.Read the full definition →
  • You can call itInvoke it directly when you want it.
  • Slash command/context-window-design

Context preview

The summary Claude sees to decide when to auto-load this skill.

Designing around token limits, memory, and conversation persistence.

SKILL.md

context-window-design.SKILL.md
name: context-window-design
description: Designing around token limits, memory, and conversation persistence.

Context Window Design

Every AI model has a finite context window. Designing within this constraint — and designing the user experience around it — is a core skill for AI product design.

The Context Window as a Design Material

The context window is not just a technical limitation. It's a design material:

  • **What goes in**: System prompts, conversation history, retrieved documents, tool results, user preferences
  • **What gets dropped**: Older messages, less relevant context, verbose instructions
  • **What the user sees**: The conversation as presented may differ from what the model actually processes

Designers must understand context window allocation to design reliable experiences.

Memory and Persistence

Users expect AI to remember. Design for different memory horizons:

  • **Within-conversation memory**: What was said earlier in this chat. Usually handled by the context window itself.
  • **Cross-conversation memory**: Preferences, past decisions, ongoing projects. Requires explicit memory systems.
  • **Shared memory**: Context shared across multiple users or agents. Requires careful privacy design.

Strategies for Limited Context

  • **Summarisation**: Compress earlier conversation into summaries to free up tokens
  • **Retrieval-augmented generation**: Pull in relevant context on demand rather than keeping everything loaded
  • **Priority ordering**: Put the most important context closest to the prompt (recency bias in attention)
  • **User-controlled context**: Let users pin, remove, or prioritise what the AI remembers
  • **Graceful degradation**: When context is lost, acknowledge it rather than hallucinating continuity

Design Artefacts

  • Context budget allocations (how many tokens for system prompt, history, retrieval, etc.)
  • Memory architecture diagrams showing what persists and what's ephemeral
  • Context overflow UX flows (what happens when the window fills up)
  • User-facing memory controls specification
Read more
Ships withai-design-skills

Part of the Designer Skills suite. Install this collection and four more with one command in Claude Code: /plugin marketplace add Owl-Listener/designer-skills This repo still works on its own. The suite just gives everyone one front door.

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Other skills on ai-design-skills.