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Archetype (A-16)

Archetype is my working library of GPT prompts and the place where I am progressively developing those prompts into GPT plugins.

I originally built this repository as a collection of standalone GPT prompt architectures: domain experts, creative practices, research systems, reasoning frameworks, personas, workflows, and other specialized archetypes. I am now updating selected prompts into more structured, inspectable, and reusable plugin packages while keeping the underlying prompt sources available in Markdown.

That means the repository currently represents both stages of the work:

  • GPTs/ contains the broader GPT prompt library I have built over time.
  • Prompts/ contains prompt sources I am actively organizing and evolving.
  • Plugins/ contains packaged GPT plugins that I have already started producing from selected prompts.
  • Construct/ contains my reusable Construct package and its underlying modules live in Prompts/Construct/.

I am treating this as an ongoing migration rather than a completed conversion. Not every GPT prompt has a plugin counterpart yet, and the prompt sources remain useful on their own.

Get Started · Repository Evolution · Packaged Systems · Construct · Construct Modules · Standalone Prompts · GPT Prompt Library · Repository Layout

Get Started

I keep the repository intentionally inspectable. Most of the source material is plain Markdown, while the plugin distributions are versioned ZIP artifacts.

Use my GPT prompts directly

If you want to work with the prompt sources themselves:

I use these Markdown files as the human-readable source layer. They can be supplied directly to an LLM or GPT environment wherever system prompts, custom instructions, or equivalent prompt content are supported.

Use a packaged GPT plugin

I currently maintain four versioned packaged systems:

I am using these packages as the next stage of the project: moving selected GPT prompts from standalone instructions into reusable GPT plugin form. Where I keep a corresponding Markdown source in the repository, I consider that source the easiest place to inspect the underlying prompt architecture.

Repository Evolution

I am evolving Archetype in roughly three layers:

  1. GPT prompts — the original and still-growing collection of standalone prompt architectures in GPTs/.
  2. Structured prompt sources — prompts I am refining into clearer source specifications under Prompts/.
  3. GPT plugins — versioned packaged systems that I am building from selected prompt architectures under Plugins/ and Construct/.

I do not expect those layers to move in lockstep. Some prompts may remain useful as standalone GPT prompts, some may become structured source specifications first, and some may progress into packaged plugins.

My aim is to preserve the strengths of the prompt library while making the systems I continue developing easier to inspect, version, reuse, test, and package.

Packaged Systems

These are the systems I have packaged so far:

System Package Human-readable source Scope
Construct v0.9.18 Prompts/Construct/ General-purpose reasoning, representation, knowledge, decision, validation, and workflow architectures
Citation v0.1.1 CT.md Scholarly reference, evidence linkage, attribution, provenance, verification, and citation governance
Systematic Review v0.1.7 SR.md Systematic review and evidence-synthesis workflows, appraisal, synthesis, reporting, reproducibility, and updating
Visual Art v0.1.0 VA.md Visual-art practice spanning perception, conception, research, design, making, critique, exhibition, preservation, professional practice, and learning

I expect this section to grow as I convert more of the prompt library into plugin packages.

Construct

Construct is my reusable core prompt architecture. I designed it as a set of general-purpose modules for reasoning, representation, knowledge work, judgment, modeling, learning, prioritization, validation, workflow design, and related tasks.

I keep the 20 source modules as standalone Markdown specifications under Prompts/Construct/, and I maintain a versioned packaged distribution at Construct_v.0.9.18.zip.

I use Construct as a shared conceptual foundation rather than as a single persona or task prompt. Each module defines a problem domain through distinctions, entities, relationships, operating models, evidence, uncertainty, governance, and workflow considerations.

Design intent

  • Reusable core: I use the modules for general reasoning and workflow primitives rather than a single domain or persona.
  • Inspectable sources: I keep every core module readable as Markdown.
  • Independent or combined use: I can use a module directly or package the system for environments that support it.
  • Explicit boundaries: I define neighboring concepts separately instead of treating them as interchangeable.
  • Evidence and governance: I treat provenance, uncertainty, validation, monitoring, and governance as first-class concerns where they matter.

Construct Modules

Code Module Primary focus
C Construct Archetypal personas, generative identity systems, and construct design
D Difference Distinction, contrast, comparison, boundaries, and meaningful non-sameness
E Evaluation Evidence, measurement, causal analysis, value judgments, and metaevaluation
F Format Representation, encoding, schemas, interoperability, and transformation
G Gist Minimum-sufficient meaning, compression, relevance, and faithful summarization
I Information Information architecture, semantics, retrieval, provenance, and governance
J Judgement Disciplined assessment, uncertainty, calibration, and decision support
K Knowledge Knowledge frontiers, evidence, synthesis, exploration, and revision
L Learning Learning science, memory, skill acquisition, transfer, and metacognition
M Model Abstraction, formalization, simulation, validation, and model evolution
N Name Naming, terminology, identifiers, namespaces, and nomenclature
O Openness Access, transparency, interoperability, commons, licensing, and governance
P Priority Prioritization, allocation, sequencing, triage, and portfolio decisions
Q Question Inquiry, information seeking, diagnosis, sequencing, and question quality
R Ranking Comparative judgment, scoring, ordering, selection, and ranking governance
S Similarity Resemblance, equivalence, correspondence, matching, and justified likeness
T Taxonomy Classification, terminology, semantic structure, and knowledge organization
U Uniqueness Identity, rarity, originality, discriminability, and provenance
V Validity Verification, validation, evidence, assurance, and warranted reliance
W Workflow Workflow discovery, orchestration, execution, observability, and optimization

Standalone Prompts

I also keep several standalone prompt specifications at the top level of Prompts/:

Some of these are already connected to packaged plugins, while others are still part of the source-side development process.

GPT Prompt Library

GPTs/ is the main library of GPT prompts I have created. It includes domain specialists, creative practices, structured workflows, perspectives, archetypes, and simulations of named people.

I am keeping this library available while I update selected prompts into newer source and plugin structures. I do not treat the older prompt format as obsolete simply because a plugin version may exist; the standalone prompts remain useful for direct inspection, experimentation, comparison, and reuse.

For named-person prompts, I use the name to indicate a simulation or perspective prompt rather than the actual person. I do not intend inclusion in the repository as an endorsement, and I do not treat a prompt's subject label as evidence of authority or factual accuracy.

Repository Layout

archetype/
├── GPTs/                            # my broader GPT prompt library
├── Prompts/                         # source prompts I am organizing and evolving
│   ├── Construct/                   # 20 reusable Construct source modules
│   ├── CT.md                        # Citation source
│   ├── RS.md
│   ├── SR.md                        # Systematic Review source
│   ├── ST.md
│   ├── TR.md
│   └── VA.md                        # Visual Art source
├── Plugins/                         # packaged GPT plugins
│   ├── Citation_v.0.1.1.zip
│   ├── Systematic_Review_v.0.1.7.zip
│   └── Visual_Art_v.0.1.0.zip
├── Construct/
│   └── Construct_v.0.9.18.zip       # packaged reusable core
├── tests/
│   └── test_readme.py               # README local-link guard
├── .github/
│   ├── FUNDING.yml
│   └── workflows/
│       └── readme-check.yml         # runs the README link guard in CI
├── A_Avatar.png
├── LICENSE                          # Apache License 2.0
└── README.md

Direction

I am continuing to refine the prompt library and convert selected systems into GPT plugins. As I do that, I want the repository to preserve three things at once: the breadth of the original GPT prompts, the inspectability of their Markdown sources, and the versioned structure of the newer plugin packages.

The repository is therefore both an archive of my GPT prompt work and an active development space for the plugin systems that are growing out of it.

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A curated library of reusable LLM prompts for domain experts, personas, creative practice, structured workflows, and archetype generation.

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