memory-load-reduction
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.
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Install
Works with every agent the skills CLI supports.
npx skills add https://github.com/owl-listener/inclusive-design-skills --skill memory-load-reduction- 01
Install
Run the command in your project. The CLI asks which agents to install for.
- 02
Describe the task
Ask your agent for something this skill covers. It loads memory-load-reduction automatically when relevant.
- 03
Review the result
The agent follows the SKILL.md steps, scripts and references bundled with the skill.
SKILL.md
The instructions your agent reads when the skill is triggered.
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?
FAQ
What does the memory-load-reduction skill do?
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.
How do I install memory-load-reduction?
Run npx skills add https://github.com/owl-listener/inclusive-design-skills --skill memory-load-reduction in your project. The skills CLI detects the agents you use and copies the skill into the right folder. For Claude Code you can also place the skill folder at ~/.claude/skills/memory-load-reduction/ (personal) or .claude/skills/memory-load-reduction/ (project).
Which AI agents can use memory-load-reduction?
Any agent that supports the open Agent Skills format (a folder with a SKILL.md file), including Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, Windsurf, Cline, OpenCode and more.
Is memory-load-reduction safe to install?
No partner security audit is available yet. Skills can run commands and scripts, so read the SKILL.md and any bundled files before installing.
Who maintains memory-load-reduction?
It is published by owl-listener in owl-listener/inclusive-design-skills. It has 76 recorded installs.
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