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mind-models

A structured library of psychological models designed to be readable by humans, parseable by tools, and reliable enough to build on. Use it as a research reference, a teaching surface, a product thinking toolkit, or a machine-readable foundation for agents and search.

Human-readable markdown Generated JSON artifacts Category landing pages Validation workflow

40

Total Models

6

Categories

5

Generated Artifacts

1

Validation Workflow

Start Here

Library

Browse the full categorized catalog with summaries, origins, tags, and related-model links.

Search

Filter the library quickly by model name, tags, category, or core concept using the generated index.

models.json

Use the normalized export for agents, scripts, embeddings, indexing, or downstream tooling.

Chunk Export

Use chunk-level records when you need embeddings-ready text units instead of whole-model documents.

Schema

See the markdown contract that every model file follows across the repository.

Category Pages

Browse each category as its own landing page with focused summaries and direct links.

Tabular Exports

Pull the library into spreadsheets, notebooks, or bulk ingestion flows using generated CSV outputs.

Explore by Category

Decision

Judgment under uncertainty

Loss aversion, framing, recency, status quo bias, and the shortcuts people use when making choices with incomplete information.

Developmental

Learning and growth across stages

Attachment theory, growth mindset, theory of mind, social learning, and stage-based models of development and skill acquisition.

Coverage

The library now spans cognitive biases, conditioning loops, social influence, affective dynamics, decision frameworks, and developmental models. It is intentionally broad enough to support research, teaching, product work, and agent-oriented reasoning.

What You Can Do With It

Teach faster

Use compact model pages as lecture prompts, handouts, reading lists, or discussion starters for psychology, design, and decision-making courses.

Design better systems

Map product decisions against motivation, social influence, habit formation, and bias to spot likely user failure modes earlier.

Power search and agents

Use the normalized exports, chunk files, and search index to support retrieval, embeddings, tagging, and structured downstream workflows.

Maintenance

python scripts/sync_front_matter.py
python scripts/validate_models.py
python scripts/build_index.py
python scripts/export_tabular.py

The GitHub Actions workflow validates model structure and confirms generated artifacts are committed.