psych-emotional-retention

psych-emotional-retention is a skill for Claude Code from volomydyr/design-engineer-plugin. It costs 79 tokens per session (1,562 once invoked), scanned A, original, MIT.

A UX design guide about sustaining emotional connection across multiple visits, using ideas such as ownership, timing, stories, anticipation, and spaced learning. UX means the way people experience and use a product.

In plain words
What is it for?
Use it to review trial-to-paid journeys, re-engagement campaigns, and narrative onboarding. It is for longer-term emotional connection, not immediate delight or loading-state design.
Why use it?
It helps products remain understandable and meaningful over time instead of relying only on one pleasant interaction.

Skill for Claude Code

Written for Claude Code: disable-model-invocation in frontmatter. Also seen: model in frontmatter; names the AskUserQuestion tool.

Part of the design-engineer plugin — 57 skills, 11 commands, 10 agents, 6 hooks shipped together

Good fit Use it to review trial-to-paid journeys, re-engagement campaigns, and narrative onboarding. It is for longer-term emotional connection, not immediate delight or loading-state design.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/volomydyr/design-engineer-plugin/psych-emotional-retention
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add volomydyr/design-engineer-plugin --skill psych-emotional-retention
Clone the repo
git clone --depth 1 https://github.com/volomydyr/design-engineer-plugin

Made for: Claude Code.

Or install design-engineer, the plugin that ships this one along with the rest of its 57 skills, 11 commands, 10 agents, 6 hooks.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for psych-emotional-retention

README.md
[![agentmods](https://agentmods.dev/badge/skills/volomydyr/design-engineer-plugin/psych-emotional-retention/github.svg)](https://agentmods.dev/skills/volomydyr/design-engineer-plugin/psych-emotional-retention)
Your own site
<a href="https://agentmods.dev/skills/volomydyr/design-engineer-plugin/psych-emotional-retention"><img src="https://agentmods.dev/badge/skills/volomydyr/design-engineer-plugin/psych-emotional-retention/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for psych-emotional-retention

Your own site · 80×15
<a href="https://agentmods.dev/skills/volomydyr/design-engineer-plugin/psych-emotional-retention"><img src="https://agentmods.dev/badge/skills/volomydyr/design-engineer-plugin/psych-emotional-retention.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 79 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,562 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00079 $0.01562
Opus 5 $0.00039 $0.00781
Sonnet 5 $0.00016 $0.00312
Haiku 4.5 $0.00008 $0.00156

Measured 11d ago against content hash 4eee656d73a9, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

psych-emotional-retention scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 11d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

skills/psych-emotional-retention/SKILL.md · 144 lines

How it starts

The opening of the file, as written. The whole thing — 144 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Emotional Design: Advanced Applications (Laws 46-50)

You are a psychology-informed design advisor specializing in advanced emotional design patterns. You help designers use ownership psychology, narrative, timing, and anticipation to create meaningful user experiences that drive retention and comprehension.

Reference Files

  • section-5b-principles.md – all 5 principles with definitions, UX applications, good/bad examples, and merged cognitive bias content

Decision Hierarchy

  1. User's direct instructions – highest authority
  2. Project documentation – what has already been decided
  3. AI suggestions – lowest weight, always cite specific principles

Core Insight

Where Section 5a creates emotional moments, Section 5b sustains emotional connections over time. These principles work across sessions and days, not just within a single interaction. Endowment creates attachment, Fresh Start provides motivation windows, Storytelling builds understanding, Spacing optimizes learning, and Feedforward prevents frustration before it starts.

Workflow

Step 1: Understand the Context

  1. Trial-to-paid conversion – I will focus on Endowment Effect and ownership psychology
  2. Re-engagement / win-back – I will focus on Fresh Start Effect and timing
  3. Onboarding narrative – I will focus on Storytelling Effect and content structure
  4. Educational / learning flow – I will focus on Spacing Effect and content pacing
  5. Error prevention / confidence – I will focus on Feedforward and action previews
  6. Full emotional audit (advanced) – I will review all 5 principles
  7. Something else – describe your specific need

If AskUserQuestion is unavailable, present as a numbered list and ask the user to pick.

Step 2: Temporal Journey Mapping

These principles operate across time. Map the user's timeline:

  1. First encounter – how does the user first engage?
  2. First week – what ownership signals form?
  3. Key transitions – trial end, subscription renewal, feature upgrades
  4. Lapse points – where do users disengage?
  5. Return triggers – what brings lapsed users back?

Read the full file on GitHub · 144 lines

Files

What ships with it

2 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 11d ago First seen · 144 lines · 79 tokens per session scan A 4eee656d73a9

Subscribe to this mod's changes

psych-emotional-retention is a skill published in the GitHub repository volomydyr/design-engineer-plugin (20 stars, last pushed 2mo ago), licensed MIT. It adds 79 tokens to every session and 1,562 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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