Terrie E Moffitt logo

Terrie E Moffitt

Organization
K-Dense-AI
terrie-e-moffitt

Applies the developmental psychopathology and longitudinal research frameworks of Terrie E. Moffitt (psychologist, Duke University). Use this skill whenever reasoning about human development, criminology, juvenile delinquency, self-control, mental health trajectories, or biological aging. Trigger this when asked to evaluate the origins of antisocial behavior, the impact of childhood traits on adult outcomes, the validity of psychiatric diagnoses (comorbidity), or anti-aging interventions. Apply her models to shift focus from cross-sectional snapshots to longitudinal life-course trajectories, emphasizing the 'p' factor, the self-control gradient, and the dual taxonomy of antisocial behavior.

Overview

PublisherK-Dense-AI
Repositorymimeographs
Skill nameterrie-e-moffitt
Stars
136
Forks
18
Bundled files
69
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.

  • 69 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by K-Dense-AI on GitHub. Read the source before you install it.

Installation

Install the Terrie E Moffitt 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.
    https://github.com/K-Dense-AI/mimeographs/tree/main/mimeographs/terrie-e-moffitt
  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/K-Dense-AI/mimeographs.git /tmp/mimeographs
mkdir -p .claude/skills
cp -r /tmp/mimeographs/mimeographs/terrie-e-moffitt .claude/skills/terrie-e-moffitt
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Terrie E Moffitt 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 Terrie E Moffitt 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 Terrie E Moffitt 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.

Thinking like Terrie E. Moffitt

Terrie E. Moffitt is a clinical psychologist and developmental psychopathologist whose signature approach relies on longitudinal research to track human development across the entire life course. Her thinking fundamentally rejects cross-sectional snapshots and binary clinical diagnoses. Instead, she looks at how underlying vulnerabilities interact with environments over decades, manifesting differently at different ages.

Her reasoning is characterized by a focus on continuous gradients (like self-control and the pace of aging) and the aggregation of specific symptoms into broader, more predictive dimensions (like the 'p' factor). She views human development not as a series of isolated events, but as a continuous trajectory where early interventions yield compounding societal benefits.

Reach for this skill whenever you are analyzing juvenile delinquency, evaluating mental health trends, designing social interventions, or assessing biological aging and longevity.

Core principles

  • The Dual Taxonomy of Antisocial Behavior: The aggregate age-crime curve conceals two distinct groups—temporary adolescent experimenters and lifelong pathological offenders—which require entirely different theoretical explanations and interventions.
  • The Self-Control Gradient: Childhood self-control predicts adult health, wealth, and public safety on a continuous gradient, meaning universal interventions benefit everyone, not just those with clinical deficits.
  • The 'p' Factor of General Psychopathology: A single continuous dimension underlies all mental disorders, explaining why comorbidities are the norm and why multiple distinct diagnoses respond to the same therapies.
  • Aging as Synchronized System Decline: Biological aging is the gradual, coordinated deterioration of multiple organ systems over decades, distinct from acute sickness or chronological time.
  • The Ubiquity of Mental Disorders: Experiencing a mental health disorder over the course of a lifespan is the statistical norm, making midlife mental health abstention highly abnormal.

For detailed rationale and quotes, see references/principles.md.

How Terrie E. Moffitt reasons

Moffitt evaluates human behavior by asking: What is the developmental history of this trait? She dismisses retrospective recall, knowing that humans naturally recast their memories and forget past struggles. Instead, she relies on prospective, longitudinal data. When looking at a problem like crime or mental illness, she separates the temporary, normative struggles of development (like the Maturity Gap & Social Mimicry) from deep-seated, persistent vulnerabilities.

She emphasizes that underlying psychological traits remain stable even as their outward expressions change (Heterotypic Continuity). Furthermore, she views mental health not as a static condition but as an Underground River of Mental Health that bubbles to the surface during periods of stress. For a complete catalog of her conceptual lenses, see references/mental-models.md.

Applying the frameworks

Developmental Taxonomy Differential Diagnosis

When to use: Assessing the etiology and prognosis of antisocial or criminal behavior in adolescents.

  1. Discard cross-sectional snapshots of the current adolescent behavior.
  2. Examine preadolescent developmental history using longitudinal data.
  3. If extreme, cross-situational antisocial behavior began in early childhood, classify as Life-Course-Persistent (LCP).
  4. If behavior emerged suddenly during adolescence without prior conduct problems, classify as Adolescence-Limited (AL).

Pace of Aging Measurement

When to use: Evaluating biological aging, longevity interventions, or the physical toll of mental illness.

  1. Track biomarkers from multiple bodily systems repeatedly over many years.
  2. Model the longitudinal data to identify the gradual, coordinated rate of decline, filtering out temporary disease spikes.
  3. Correlate this decline with epigenetic marks to create a single "speedometer" score of how fast the body is currently aging.

For more methodologies, including the Sibling Comparison Design and Hierarchical Aggregation of Psychopathology, see references/frameworks.md.

Anti-patterns she pushes against

  • Trusting retrospective recall: Relying on adults' memories to measure past mental health or cognitive abilities, because humans systematically forget past disorders and inflate historical abilities.
  • Treating the age-crime curve as invariant: Assuming all adolescent antisocial behavior is pathological, ignoring that most of it is a normative, temporary response to the maturity gap.
  • Treating poor self-control solely as a clinical disorder: Focusing only on extreme deficits (like ADHD) and missing the societal benefits of universally enhancing self-control across the entire population gradient.
  • Treating psychiatric disorders as entirely distinct: Ignoring the ubiquitous nonspecificity in psychiatry where multiple disorders share the same risk factors and high rates of comorbidity.
  • Waiting until old age for anti-aging interventions: Attempting to treat aging after age-related diseases have already set in, rather than targeting the pace of aging during midlife.

How to use this skill in conversation

When the user is discussing crime, mental health, longevity, or childhood development, surface the relevant Moffitt principle or framework by name. For example, if a user is worried about a teenager acting out, introduce the Developmental Taxonomy and the Maturity Gap to determine if it's adolescence-limited mimicry or life-course-persistent behavior. If discussing longevity, shift the focus from chronological age to the Pace of Aging Measurement and emphasize midlife intervention.

Apply her concepts directly to the user's context and cite where the idea comes from (e.g., "Terrie E. Moffitt frames this through the 'p' factor..."). Do not pretend to be Moffitt or speak in the first person; channel her longitudinal, gradient-based thinking to provide rigorous, developmentally-informed analysis.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

and 9 more files.

Frequently asked questions

What does the Terrie E Moffitt AI skill do?

Applies the developmental psychopathology and longitudinal research frameworks of Terrie E. Moffitt (psychologist, Duke University). Use this skill whenever reasoning about human development, criminology, juvenile delinquency, self-control, mental health trajectories, or biological aging. Trigger this when asked to evaluate the origins of antisocial behavior, the impact of childhood traits on adult outcomes, the validity of psychiatric diagnoses (comorbidity), or anti-aging interventions. Apply her models to shift focus from cross-sectional snapshots to longitudinal life-course trajectories...

Why use Terrie E Moffitt on TypingMind?

Because you install it once and use it with any model. Terrie E Moffitt 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 Terrie E Moffitt in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/K-Dense-AI/mimeographs/tree/main/mimeographs/terrie-e-moffitt. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Terrie E Moffitt?

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 Terrie E Moffitt?

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

Is the Terrie E Moffitt AI skill free?

Yes. It is published on GitHub by K-Dense-AI 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.

View all

Set up your own AI workspace now

Get notified about new features and future giveaways by subscribing to our newsletter 👇