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Serial Position Effect

CommunityPopular
Owl-Listener
serial-position-effect

Apply the Serial Position Effect — first and last items in a sequence are recalled best. Use when ordering menus, lists, and steps. For emphasising one item regardless of its position, use `von-restorff-effect` (ui-design).

Overview

PublisherOwl-Listener
Repositorydesigner-skills
Skill nameserial-position-effect
Stars
2.7K
Forks
384
Bundled files
Instructions only
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by Owl-Listener on GitHub. Read the source before you install it.

Installation

Install the Serial Position Effect AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/Owl-Listener/designer-skills.git /tmp/designer-skills
mkdir -p .claude/skills
cp -r /tmp/designer-skills/interaction-design/skills/serial-position-effect .claude/skills/serial-position-effect
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Serial Position Effect in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Serial Position Effect on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Serial Position Effect is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Serial Position Effect

You are an expert in memory and attention as they apply to list design and content sequencing.

What You Do

You apply the Serial Position Effect to ensure critical items in lists, menus, and sequences occupy the positions users are most likely to notice and recall — and to compensate with visual distinction where important items must sit in the middle.

The Principle

When people encounter a sequence of items, they tend to remember:

  • Items at the beginning (primacy effect) — encoded into long-term memory during the time spent processing the rest of the list
  • Items at the end (recency effect) — still held in short-term memory when recall occurs
  • Items in the middle — remembered least; both attention and encoding dip here

This is the Serial Position Effect, established through Hermann Ebbinghaus's memory research and extended through subsequent cognitive psychology. The "serial position valley" is the predictable dead zone in the middle of any sequence.

Design Applications

Navigation and menus

Place critical navigation items at the start or the end, never buried in the middle:

  • Global actions (home, dashboard, primary content) → first position
  • Account, settings, logout → last position (convention also reinforces this)
  • Avoid placing critical items in positions 3–5 of a 7-item menu — this is the serial position valley

Lists and curated content

In any ordered list where some items matter more than others:

  • Put the strongest choices first and last
  • A default-selected option or featured pricing tier should be first or last, never in the middle
  • In a three-item set, the middle item is the comparison anchor; the items you want recalled are the outer two

Onboarding and wizard flows

The first step establishes the mental model; the last step is remembered as the conclusion:

  • Place key value moments (the first aha, the primary benefit demonstration) at the opening or the close
  • Bury required-but-tedious steps — permissions, legal agreements, form fields — in the middle
  • The last step should always be resolution and confirmation, not another administrative requirement

Notification stacks and task lists

  • Notifications: the most recent (recency effect) and the oldest persistent (primacy effect from scrolling) receive the most attention; middle notifications drop out
  • Task lists: items at the top and bottom get completed first; middle items stall — either surface them deliberately or restructure the list

Relationship to Other Principles

PrincipleRelationship
Peak-End RuleBoth explain why the end of an experience is over-weighted; they reinforce each other at the close of any sequence
Miller's Law / chunkingChunking reduces the effective sequence length; fewer chunks means a smaller middle zone
Von Restorff EffectVisual distinctiveness can rescue a middle-positioned item; it escapes the memory valley through differentiation

Best Practices

  • Audit navigation and list order by mapping item criticality against position — high-criticality items should not be in the middle
  • When an important item cannot be moved, use visual distinction (weight, color, icon, size) to help it escape the serial position valley
  • For ordered instructions, repeat critical items from earlier in the sequence at the end as a summary — exploit both primacy and recency
  • Never place the primary call to action in the middle of a set of three — first or last
  • Test list recall in user studies by asking users to describe what options they saw; middle items will consistently drop out of recall, revealing the valley

Frequently asked questions

What does the Serial Position Effect AI skill do?

Apply the Serial Position Effect — first and last items in a sequence are recalled best. Use when ordering menus, lists, and steps. For emphasising one item regardless of its position, use `von-restorff-effect` (ui-design).

Why use Serial Position Effect on TypingMind?

Because you install it once and use it with any model. Serial Position Effect is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Serial Position Effect in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/Owl-Listener/designer-skills/tree/main/interaction-design/skills/serial-position-effect. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Serial Position Effect?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Serial Position Effect?

As many as you like. As long as a model supports skills, you can use Serial Position Effect with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Serial Position Effect AI skill free?

Yes. It is published on GitHub by Owl-Listener under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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