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Design interfaces that minimise demands on working memory. An agent skill from Owl-Listener/inclusive-design-skills.
Install Memory Load Reduction
$ npx skills add Owl-Listener/inclusive-design-skills --skill memory-load-reduction -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install Owl-Listener/inclusive-design-skills memory-load-reduction --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/Owl-Listener/inclusive-design-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/cognitive-accessibility/skills/memory-load-reduction .claude/skills/memory-load-reduction && rm -rf skills-srcUse ~/.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/
Install the "memory-load-reduction" agent skill from https://github.com/Owl-Listener/inclusive-design-skills/tree/main/cognitive-accessibility/skills/memory-load-reduction into .claude/skills/memory-load-reduction/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "memory-load-reduction", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/Owl-Listener/inclusive-design-skills/tree/main/cognitive-accessibility/skills/memory-load-reductionType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add Owl-Listener/inclusive-design-skills --skill memory-load-reduction -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install Owl-Listener/inclusive-design-skills memory-load-reduction --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Owl-Listener/inclusive-design-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/cognitive-accessibility/skills/memory-load-reduction .agents/skills/memory-load-reduction && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "memory-load-reduction" agent skill from https://github.com/Owl-Listener/inclusive-design-skills/tree/main/cognitive-accessibility/skills/memory-load-reduction into .agents/skills/memory-load-reduction/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "memory-load-reduction", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add Owl-Listener/inclusive-design-skills --skill memory-load-reduction -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install Owl-Listener/inclusive-design-skills memory-load-reduction --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Owl-Listener/inclusive-design-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/cognitive-accessibility/skills/memory-load-reduction .cursor/skills/memory-load-reduction && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "memory-load-reduction" agent skill from https://github.com/Owl-Listener/inclusive-design-skills/tree/main/cognitive-accessibility/skills/memory-load-reduction into .cursor/skills/memory-load-reduction/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "memory-load-reduction", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/Owl-Listener/inclusive-design-skills.git --path cognitive-accessibility/skills/memory-load-reduction--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add Owl-Listener/inclusive-design-skills --skill memory-load-reduction -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install Owl-Listener/inclusive-design-skills memory-load-reduction --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Owl-Listener/inclusive-design-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/cognitive-accessibility/skills/memory-load-reduction .gemini/skills/memory-load-reduction && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "memory-load-reduction" agent skill from https://github.com/Owl-Listener/inclusive-design-skills/tree/main/cognitive-accessibility/skills/memory-load-reduction into .gemini/skills/memory-load-reduction/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "memory-load-reduction", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install Owl-Listener/inclusive-design-skills memory-load-reductionInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add Owl-Listener/inclusive-design-skills --skill memory-load-reduction -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/Owl-Listener/inclusive-design-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/cognitive-accessibility/skills/memory-load-reduction .github/skills/memory-load-reduction && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "memory-load-reduction" agent skill from https://github.com/Owl-Listener/inclusive-design-skills/tree/main/cognitive-accessibility/skills/memory-load-reduction into .github/skills/memory-load-reduction/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "memory-load-reduction", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add Owl-Listener/inclusive-design-skills --skill memory-load-reduction -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install Owl-Listener/inclusive-design-skills memory-load-reduction --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Owl-Listener/inclusive-design-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/cognitive-accessibility/skills/memory-load-reduction .opencode/skills/memory-load-reduction && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "memory-load-reduction" agent skill from https://github.com/Owl-Listener/inclusive-design-skills/tree/main/cognitive-accessibility/skills/memory-load-reduction into .opencode/skills/memory-load-reduction/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "memory-load-reduction", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
memory-load-reduction- GitHub stars
- 103
- Token cost
- ~636 tokens
- SKILL.md length
- 313 words
- Files
- 1
- Skills in repo
- 55
- Repo updated
- First seen
- Licence
- MIT
At a glance
Design interfaces that minimise demands on working memory. An agent skill from Owl-Listener/inclusive-design-skills.
- Works in 5 steps: Does the user need to remember anything… → Is any information hidden that the user… → Can the user leave and come back without… → …
- Designing multi-step flows
- SKILL.md covers Core Principle, Design Patterns and Assessment Questions
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Memory Load Reduction is an agent skill from Owl-Listener/inclusive-design-skills. Design interfaces that minimise demands on working memory. Use when designing multi-step flows, dashboards, comparison tools, forms that span multiple screens, or any interface where users need to remember information across steps or sessions. Triggers on: memory, remember, forget, carry forward, multi-step, users drop off, too many steps, lose their place, context.
Its SKILL.md is about 640 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 Frontend & Design. The repository describes itself as: Inclusive design skills for AI coding agents — from cognitive accessibility to adaptive interfaces, inclusive research, and accessibility decision-making. The licence is MIT.
When your agent uses it
- Designing multi-step flows
- Comparison tools
- Forms that span multiple screens
- Any interface where users need to remember information across steps
Example prompts
- “/memory-load-reduction”
Workflow steps
5 steps, taken from the first numbered list in SKILL.md.
- Does the user need to remember anything from a previous screen?
- Is any information hidden that the user might need to reference?
- Can the user leave and come back without losing progress?
- Are there places where the user needs to transfer information
- Does the system re-ask for information it already knows?
What it can do on your machine
Read from SKILL.md and the folder at commit 6e0740f. 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
Memory Load Reduction loads about 636 tokens when it runs. Until then it costs about 98 tokens; SKILL.md has 313 words of instructions outside code blocks.
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/inclusive-design-skills at commit 6e0740f, republished under its MIT licence (© Owl-Listener). 313 words, ~636 tokens.
Download SKILL.mdSave it as
.claude/skills/memory-load-reduction/SKILL.md (or your agent's skills folder).- name
- memory-load-reduction
- description
- Design interfaces that minimise demands on working memory. Use when designing multi-step flows, dashboards, comparison tools, forms that span multiple screens, or any interface where users need to remember information across steps or sessions. Triggers on: memory, remember, forget, carry forward, multi-step, users drop off, too many steps, lose their place, context.
Memory Load Reduction
Design systems that remember so users don't have to. Working memory holds roughly 4 items. Every piece of information the user must carry across screens, steps, or sessions is a potential failure point.
Core Principle
If the system can remember it, the user shouldn't have to.
Design Patterns
Persistent Context
- Show key selections throughout a multi-step flow (chosen product, plan, date visible on every step)
- Display running totals in shopping and financial contexts
- Keep the user's search query visible in results
- In multi-step forms, show a summary sidebar of completed steps
Forward Carry
- Never re-ask information the system already has
- Pre-fill fields from earlier steps or previous sessions
- Carry context between screens (if the user selected "Business", don't ask "Personal or Business?" again)
- Remember user preferences across sessions
External Memory Aids
- "Compare" features so users don't need to remember options
- Recently viewed and recently used lists
- Copy-to-clipboard for reference numbers and codes
- Print-friendly versions of complex information
- Bookmarking or favouriting for later reference
Save and Resume
- Auto-save progress in any flow longer than 3 steps
- Allow users to return to where they left off
- Show when progress was last saved
- Send a reminder link for abandoned multi-step tasks
- Never require starting over when a session expires
Chunked Process
- Break tasks into 3–7 clearly labelled steps
- One decision per step where possible
- Allow forward and backward movement between steps
- Show progress: "Step 2 of 4: Choose your plan"
- Provide a review/summary screen before final submission
Assessment Questions
- Does the user need to remember anything from a previous screen?
- Is any information hidden that the user might need to reference?
- Can the user leave and come back without losing progress?
- Are there places where the user needs to transfer information between screens manually (e.g., write down a code)?
- Does the system re-ask for information it already knows?
© 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 cognitive-accessibility/skills/memory-load-reduction of Owl-Listener/inclusive-design-skills.
Open the folder on GitHubat commit 6e0740f
Compare with similar skills
Memory Load Reduction 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.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Memory Load Reduction this skillOwl-Listener/inclusive-design-skills | 103 | — | ~636 | Automated safety check: Pass | MIT | |
| Web Artifacts Builderanthropics/skills | 180k | 40 repos | ~769 | Automated safety check: Pass | Apache-2.0 | |
| React Doctormakeplane/plane | 60k | 12 repos | ~657 | Automated safety check: Pass | AGPL-3.0 | |
| React Composition Patternsvercel-labs/openreview | 1.7k | 58 repos | ~721 | Automated safety check: Pass | MIT | |
| Impeccablebestofjs/bestofjs | 3.1k | 27 repos | ~2.6k | Automated safety check: Pass | MIT | |
| Figma Design System Builderwarpdotdev/warp | 65k | 2 repos | ~4.4k | Automated safety check: Pass | AGPL-3.0 |
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Categories
Questions about Memory Load Reduction
What does Memory Load Reduction do?
Design interfaces that minimise demands on working memory. An agent skill from Owl-Listener/inclusive-design-skills. Memory Load Reduction is an agent skill from Owl-Listener/inclusive-design-skills. Design interfaces that minimise demands on working memory.
When should I use Memory Load Reduction?
Memory Load Reduction fits situations like: designing multi-step flows; comparison tools; forms that span multiple screens; any interface where users need to remember information across steps.
How do I install Memory Load Reduction in Claude Code?
Run `npx skills add Owl-Listener/inclusive-design-skills --skill memory-load-reduction -a claude-code`. Or copy the skill folder (cognitive-accessibility/skills/memory-load-reduction in Owl-Listener/inclusive-design-skills) into .claude/skills/memory-load-reduction in your project. Claude Code loads it when a task matches its description.
How do I install Memory Load Reduction in Codex?
Run `npx skills add Owl-Listener/inclusive-design-skills --skill memory-load-reduction -a codex`. Or copy the skill folder (cognitive-accessibility/skills/memory-load-reduction in Owl-Listener/inclusive-design-skills) into .agents/skills/memory-load-reduction in your project. Codex loads it when a task matches its description.
Can I use Memory Load Reduction 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/inclusive-design-skills --skill memory-load-reduction -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/memory-load-reduction, .gemini/skills/memory-load-reduction, .github/skills/memory-load-reduction and .opencode/skills/memory-load-reduction in your project.
What does Memory Load Reduction need to run?
SKILL.md names no scripts, command-line tools or credentials: Memory Load Reduction is instructions for the agent only.
Does Memory Load Reduction 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 Memory Load Reduction 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 Memory Load Reduction use?
Memory Load Reduction 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 Memory Load Reduction use?
About 636 tokens (SKILL.md is roughly 2.5k 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 Memory Load Reduction?
Skills that share tags, products or a category with Memory Load Reduction: Web Artifacts Builder (anthropics/skills, 180k stars), React Doctor (makeplane/plane, 60k stars), React Composition Patterns (vercel-labs/openreview, 1.7k stars) and Impeccable (bestofjs/bestofjs, 3.1k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Memory Load Reduction?
Owl-Listener (a GitHub user) maintains it in Owl-Listener/inclusive-design-skills, which has 103 GitHub stars. The repository holds 55 skills in this directory. The repository was last updated on June 9, 2026.
Source: Owl-Listener/inclusive-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.