Agent skill

Context Window Design

by Owl-Listener in Owl-Listener/ai-design-skills

Designing around token limits, memory, and conversation persistence.

MITAuto-check passedAgent Workflows

Install Context Window Design

skills CLI
$ npx skills add Owl-Listener/ai-design-skills --skill context-window-design -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install Owl-Listener/ai-design-skills context-window-design --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/Owl-Listener/ai-design-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/model-interaction-design/context-window-design .claude/skills/context-window-design && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
context-window-design
GitHub stars
181
Token cost
~516 tokens
SKILL.md length
256 words
Files
1
Skills in repo
11
Repo updated
First seen
Licence
MIT

At a glance

Designing around token limits, memory, and conversation persistence.

  • Tasks that involve Context engineering
  • SKILL.md covers The Context Window as a Design…, Memory and Persistence, Strategies for Limited Context and Design Artefacts
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Context Window Design is an agent skill from Owl-Listener/ai-design-skills. Designing around token limits, memory, and conversation persistence.

Its SKILL.md is about 520 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Agent Workflows, covering Context engineering. The repository describes itself as: AI Design Skills Collection: agentic skills, commands, and plugins for designing AI products — from interaction patterns to alignment, evaluation, agent orchestration, and prompt… The licence is MIT.

When your agent uses it

  • Tasks that involve Context engineering

Example prompts

  • “/context-window-design”

What it can do on your machine

Read from SKILL.md and the folder at commit f41b650. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Context Window Design loads about 516 tokens when it runs. Until then it costs about 23 tokens; SKILL.md has 256 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~23
When it runs · the whole SKILL.md, loaded when a task matches
~516

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from Owl-Listener/ai-design-skills at commit f41b650, republished under its MIT licence (© Owl-Listener). 256 words, ~516 tokens.

Download SKILL.mdSave it as .claude/skills/context-window-design/SKILL.md (or your agent's skills folder).
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

© Owl-Listener, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in skills/model-interaction-design/context-window-design of Owl-Listener/ai-design-skills.

Open the folder on GitHubat commit f41b650

Compare with similar skills

Context Window Design next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Context Window Design compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Context Window Design this skillOwl-Listener/ai-design-skills181—~516Automated safety check: PassMIT
Context Mode Output Sandboxmksglu/context-mode26k—~4.1kAutomated safety check: PassCustom licence
Memori Long-Term MemoryMemoriLabs/Memori17k—~2kAutomated safety check: NotesCustom licence
Picoclaw Skill Creatorsipeed/picoclaw30k—~4.4kAutomated safety check: PassMIT
ccc Semantic Code Searchcocoindex-io/cocoindex-code2.7k—~938Automated safety check: PassApache-2.0
Context Mode for Antigravity CLImksglu/context-mode26k—~850Automated safety check: PassCustom licence

Similar skills

  • Context Mode Output Sandbox

    mksglu/context-mode

    Routes large command, file, API and browser output through context-mode tools so only the needed result enters the agent's context, instead of dumping it via Bash.

    26k GitHub stars~4.1k tokensUpdated yesterday
    Agent WorkflowsAuto-check passed
  • Memori Long-Term Memory

    MemoriLabs/Memori

    Connects Claude Code to Memori Cloud for long-term memory, recalling stored context before substantive replies and saving new context afterward.

    17k GitHub stars~2k tokensUpdated 5 days ago
    Agent WorkflowsAuto-check: notes
  • Picoclaw Skill Creator

    sipeed/picoclaw

    Guidance for creating, updating and reviewing Picoclaw skills, from the SKILL.md structure to organizing bundled scripts, references and assets.

    30k GitHub stars~4.4k tokensUpdated 13 days ago
    Agent WorkflowsAuto-check passed
  • ccc Semantic Code Search

    cocoindex-io/cocoindex-code

    Semantic code search and index management with the ccc CLI: the agent initializes, indexes and queries the project by concept, filtering by language or path.

    2.7k GitHub stars~938 tokensUpdated yesterday
    Agent WorkflowsAuto-check passed
  • Routing rules for using context-mode MCP tools in Antigravity CLI: sandboxed code runs, file analysis, indexed search and web fetches that keep large output out of the conversation.

    26k GitHub stars~850 tokensUpdated yesterday
    Agent WorkflowsAuto-check passed
  • Token Optimizer

    alexgreensh/token-optimizer

    Audit a Claude Code or Codex setup for context-window waste, then fix it and measure the savings.

    2.5k GitHub stars~3.6k tokensUpdated 3 days ago
    Agent WorkflowsAuto-check passed

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  • Bias Detection Design

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  • Chain Of Thought Design

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Categories

Questions about Context Window Design

What does Context Window Design do?

Designing around token limits, memory, and conversation persistence. Context Window Design is an agent skill from Owl-Listener/ai-design-skills. Designing around token limits, memory, and conversation persistence.

When should I use Context Window Design?

Context Window Design fits situations like: tasks that involve Context engineering.

How do I install Context Window Design in Claude Code?

Run `npx skills add Owl-Listener/ai-design-skills --skill context-window-design -a claude-code`. Or copy the skill folder (skills/model-interaction-design/context-window-design in Owl-Listener/ai-design-skills) into .claude/skills/context-window-design in your project. Claude Code loads it when a task matches its description.

How do I install Context Window Design in Codex?

Run `npx skills add Owl-Listener/ai-design-skills --skill context-window-design -a codex`. Or copy the skill folder (skills/model-interaction-design/context-window-design in Owl-Listener/ai-design-skills) into .agents/skills/context-window-design in your project. Codex loads it when a task matches its description.

Can I use Context Window Design in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add Owl-Listener/ai-design-skills --skill context-window-design -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/context-window-design, .gemini/skills/context-window-design, .github/skills/context-window-design and .opencode/skills/context-window-design in your project.

What does Context Window Design need to run?

SKILL.md names no scripts, command-line tools or credentials: Context Window Design is instructions for the agent only.

Does Context Window Design access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Context Window Design safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Context Window Design use?

Context Window Design is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Context Window Design use?

About 516 tokens (SKILL.md is roughly 2.1k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Context Window Design?

Skills that share tags, products or a category with Context Window Design: Context Mode Output Sandbox (mksglu/context-mode, 26k stars), Memori Long-Term Memory (MemoriLabs/Memori, 17k stars), Picoclaw Skill Creator (sipeed/picoclaw, 30k stars) and ccc Semantic Code Search (cocoindex-io/cocoindex-code, 2.7k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Context Window Design?

Owl-Listener (a GitHub user) maintains it in Owl-Listener/ai-design-skills, which has 181 GitHub stars. The repository holds 11 skills in this directory. The repository was last updated on June 9, 2026.

Source: Owl-Listener/ai-design-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.