product-domain-engine

Product Domain Engine

The meta-system. Every product tied to a domain is an instance of the same operation: formalize informal knowledge into computable structure, then express that structure through four independent rhetorical channels.

This skill does not invent new patterns. It names a system that was already running across four products (public-record-data-scrapper, styx, sovereign-systems--elevate-align, hokage-chess) and was being re-derived every time. Naming it converts re-derivation into composition.

What This Is

A conductor, not a monolith. The PDE sequences seven existing skills through a five-phase protocol, adds the rhetorical-mode framework that none of them carries, and provides the composition matrix that selects which output blends which mode.

You invoke this skill when the work to be done is building a new product tied to a domain — chess improvement, public records, behavioral economics, wellness, anything where lived knowledge needs to become computable structure.

The Five-Phase Formalization Protocol

Every domain receives the same treatment. Phases are sequential within a single pass and recursive across product lifecycle.

Phase 1 — IDENTIFY: the domain's agents

Who acts in this space? Their roles, incentives, constraints. The agent census is the first ontological move; it forces the domain to reveal itself as a graph of actors rather than a topic.

Drives the systemic-product-analyst skill (Lane A). Agents map onto users, opponents, intermediaries, gatekeepers, ledgers.

Phase 2 — MAP: the domain's structures

Real relationships, hierarchies, flows, constraints. What binds the agents into a system? What can break or limit the system in reality (the constraint-domain pillars)?

Drives market-gap-analysis (competitive structure) and research-synthesis-workflow (causal structure).

Phase 3 — ENCODE: structures as computable objects

Not concepts. Not documents. Types, functions, schemas, tests. The formalization becomes executable.

Drives product-requirements-designer. Output: typed interfaces, algorithm implementations, data schemas, deployable test suites.

This is the gate. A domain that cannot produce computable objects has not been formalized — it has only been described.

Phase 4 — EXPRESS: through four rhetorical modes

The encoded structure speaks through four independent registers. They are not communication styles; they are independent output classes from the same underlying truth. See references/rhetorical-modes.md.

Drives brand-guidelines (pathos), pitch-deck-patterns (pathos+ethos), content-distribution (kairos+pathos).

Phase 5 — DEPLOY: let density create gravity

The public-record-data-scrapper principle: a sufficiently dense, sufficiently real formalization attracts its own audience. The 4,455-word README, the 60+ collection agents, the 2,055 tests — that mass was the marketing.

Density is gravitational. Promotion only matters at low mass.

The autopoietic loop

The protocol is not linear. Phase 5's output (deployment metrics, audience behavior, community questions) feeds back into Phase 1 (which agents matter most? which constraints are real?). The system makes itself.

IDENTIFY → MAP → ENCODE → EXPRESS → DEPLOY → OBSERVE
   ↑                                              │
   └──────────────────────────────────────────────┘
        observation refines the formalization

The OBSERVE step is implemented through analytics modules (e.g. hokage-chess analytics.ts, growth.ts). They are the observation instruments, not afterthoughts.

The Four Rhetorical Modes

Classical rhetoric has four modes. Earlier internal drafts of this engine carried only three — the omitted fourth, kairos, is the most strategic, and we restore it here. See references/rhetorical-modes.md for the full treatment.

Mode	Greek	Internal/External	Question it answers	Generation method
Logos	λόγος	Internal	What is structurally true?	Engineering — types, proofs, algorithms
Ethos	ἦθος	External	Why should this be trusted?	Academic density — research, tests, citations
Pathos	πάθος	External	Why does this matter to a human?	Social/media content — community, voice, narrative
Kairos	καιρός	Strategic	When is the right moment?	Market-timing analysis, zeitgeist alignment

Logos is never customer-facing on its own. It always expresses through ethos (the audience sees that proofs exist and trusts the source) or pathos (the audience feels the formalization through narrative). The customer never consumes types directly; they consume credibility or feeling.

Ethos is built through scholarly density. Research papers, source lists, test counts, deployment URLs, PROVENANCE files. The depth of the research is the raw material that ethos is forged from.

Pathos is built through social/media volume. YouTube, Discord, email sequences, landing pages, brand voice, naming systems, physical objects. The authenticity and volume of the media is the raw material.

Kairos is built through market-timing observation. When is the wave arriving, peaking, fading? Each domain rides a zeitgeist; kairos is the choice of when to enter and when to hold.

The Composition Matrix

Every product output is a specific blend of the four modes. The blend ratio determines what the output is. See references/composition-matrix.md for the full table; the abridged version:

Output	Logos	Ethos	Pathos	Kairos
Technical spec	■■■	—	—	—
Test suite	■■■	■■ ext	—	—
Academic study	■■■	■■■ ext	—	■
README (flagship)	■■	■■■ ext	—	—
Source list	■■■	■■■ ext	—	—
Financial model	■■■	■■ ext	—	■
Pitch deck	■	■■ ext	■■ ext	■
Landing page	■	■	■■■ ext	■■
YouTube content	■	—	■■■ ext	■■
Community (Discord)	—	—	■■■ ext	■
Physical product	—	—	■■■ ext	■
Email sequence	—	—	■■ ext	■■
Launch announcement	—	—	■■ ext	■■■
Roadmap	■	■	—	■■■

ext = the mode's external function (what the audience consumes), distinct from its internal mass.

The Prompt Sequence

Universal build commands, ordered per domain stage. See references/prompt-sequence.md for the full sequence with example invocations. Five tiers:

1. Foundation — what is this domain? ($MODE, $DEPTH, Natural Center, constraint-domain pillars)
2. Research — scholarly study ($RESEARCH_ATLAS_V3, peer-reviewed sources, methodological pillars)
3. Architecture — how does it become a system? ($REPO_ARCHITECTURE_CME_FULL, brand embedding structure, algorithms)
4. Product Expression — logos→ethos→pathos outputs (one-pager, landing page, pitch deck, experiment design pack)
5. Deployment & Scaling — service scaffolds, multi-tenant SaaS, orchestration

Order varies by stage:

Stage	Sequence
New domain (e.g. hokage-chess at session start)	1 → 2 (light) → 3 → 4 → 5
Theory-heavy (e.g. styx)	1 → 2 (deep) → 3 → 4 → 5
Already-deployed (e.g. public-record-data-scrapper)	3 → 4 → 5 (1 and 2 already done)
Client-driven (e.g. elevate-align)	1 → 4 → 3 → 5 (pathos first, architecture follows brand)

Organ Chain Traversal

Every domain selects which ORGANVM organs it must cross. Not every domain crosses all seven.

Organ	Function	Logos role	Output kind
I — Theoria	Formalize the domain's truth	types, proofs, research	research papers, theory documents
II — Poiesis	Express it aesthetically	brand, visual identity	brand voice, visual system, narrative
III — Ergon	Derive revenue	products, pricing, funnel	landing page, course, SaaS
IV — Taxis	Orchestrate operations	CI/CD, automation	workflows, governance
V — Logos (organ)	Publish discourse	essays, case studies	flagship README, blog, dissertation
VI — Koinonia	Build community	Discord, cohorts	community space, events
VII — Kerygma	Distribute announcements	social, newsletter	POSSE syndication

Traversal patterns observed in proof instances:

• public-record-data-scrapper: I → III → IV → V (no II, VI, VII — density alone sufficed)
• styx-behavioral-economics-theory: I → II → III (full theoretical→artistic→commercial chain)
• sovereign-systems--elevate-align: I (light) → II → III (Maddie's brand and architecture)
• hokage-chess: I (light) → II → III → VI → VII (theory-light, heavy on art + community + distribution)

The PDE scores each domain's needed organs at Phase 1 and re-evaluates at Phase 5.

The Cross-Domain Fertilization Registry

Patterns proven in one domain become available to all others. See references/cross-fertilization.md (registry living alongside this skill) for the full list. Examples:

• hokage-chess's Ki-Shō-Ten-Ketsu narrative framework → applicable to how styx presents its thesis (setup → development → twist → resolution)
• styx's theorem-proving methodology → applicable to how hokage-chess validates its title-scoring formula
• public-record-data-scrapper's density principle → applicable to all domains
• elevate-align's hub-and-spoke topology (3 domains from 1 practitioner) → applicable to hokage-chess's future multi-domain architecture (hokagechess.com / thedojo.gg / hokagecourses.com)

When a pattern is proven in a new domain, register it. Subsequent domains inherit.

How To Invoke

The PDE is not a single command. It is an orchestration — a sequence of skill invocations selected by the domain's stage and pattern. The high-level flow:

1. INTAKE
   - Run scripts/domain-audit.sh on the existing repo (if any).
     Output: scores per mode, dominant mode, composition gaps.
   - If no repo yet, run the agent census and structural map directly.

2. SELECT TIER ORDER
   - Based on stage (new / theory-heavy / deployed / client-driven), select sequence.

3. COMPOSE
   - For each tier in order, invoke the relevant orchestrated skill:
     - Tier 1 (foundation):    systemic-product-analyst (Lane A)
     - Tier 2 (research):      research-synthesis-workflow + market-gap-analysis
     - Tier 3 (architecture):  product-requirements-designer
     - Tier 4 (expression):    brand-guidelines + pitch-deck-patterns
     - Tier 5 (distribution):  content-distribution

4. SCORE & GAP-CLOSE
   - Re-run domain-audit.sh after each major output.
   - Identify mode imbalance: under-developed mode → next pass focuses there.

5. OBSERVE
   - Wire analytics for the deployed surface.
   - Feed metrics back into Phase 1 (refined agent map, refined constraint pillars).

Existing Skills the PDE Composes With

The PDE references these by name and adds only what they do not cover. Do not duplicate their content.

Skill	Composed at	Adds to PDE
systemic-product-analyst	Tier 1	Lane A/B audit — is the formalization real? does the world want it?
market-gap-analysis	Tier 2	Competitive structure — what exists, what is missing, where to position
research-synthesis-workflow	Tier 2	Scholarly depth — canonical papers, source evaluation, atlas
product-requirements-designer	Tier 3	Spec — PRD, user stories, feature map
brand-guidelines	Tier 4	Brand embedding — voice, naming, visual system, narrative
pitch-deck-patterns	Tier 4	Pitch — 10–12 slide narrative
content-distribution	Tier 5	Distribution — platform selection, POSSE, syndication
project-alchemy-orchestrator	All tiers	Lifecycle staging — Nigredo / Albedo / Rubedo

What the PDE adds (and these skills do not carry):

1. The four rhetorical modes — logos, ethos, pathos, kairos — as a coordinate system over outputs
2. The five-phase formalization protocol — identify → map → encode → express → deploy
3. The composition matrix — which outputs blend which modes, with internal/external function distinction
4. The ordered prompt sequence keyed to domain stage
5. The autopoietic observation loop — deployment feeds back into formalization
6. The organ-chain traversal scoring — which organs each domain needs
7. The cross-fertilization registry — patterns proven once propagate to all

Proof Instances

Four products that already ran the engine, before it was named. See references/proof-instances.md for full case data.

Instance	Logos	Ethos	Pathos	Kairos	Dominant	What it proved
public-record-data-scrapper	■■■	■■■	■	■	logos+ethos	Density creates gravity
styx-behavioral-economics-theory	■■■	■■	■	■■	logos	Theory→Art→Commerce is real
sovereign-systems--elevate-align	■■	■	■■	■	balanced	One practitioner → multi-domain topology
hokage-chess	■■	■	■■■	■■	pathos	Full PDE in one session is feasible

Each instance leads with a different rhetorical mode. The engine does not prescribe which mode dominates — the domain's nature determines it. B2B utility leads with logos. Entertainment brand leads with pathos. Academic product leads with ethos. Time-sensitive product leads with kairos.

The engine ensures all four modes are addressed, regardless of which leads.

Materia-Collider Graduation

hokage-chess was dissolved into materia-collider during ORGAN-RESET, then graduated back to a formalized client repo in a single 2026-04-25 session. The PDE defines graduation criteria:

A domain graduates from materia-collider (incubation) to organ-residence (formalization) when:

1. At least one computable object exists (types, functions, tests).
2. At least one rhetorical output exists (a flagship README, a landing page, a pitch).
3. A seed.yaml declares organ membership and edges.
4. A Natural Center can be stated in one sentence.

Below this gate: still materia. At or above: organ-resident.

Revenue Model Typology (Mode-Tagged)

Selecting a revenue model is a Phase 4 expression decision. Each model carries a default mode signature; pick the model that matches the domain's dominant mode.

| Revenue Type | Logos / Ethos / Pathos / Kairos | Domain fit | |-------------|:---:|:---:|:---:|:---:|---| | Freemium content (YouTube, blog) | ■ | ■ | ■■■ | ■■ | Entertainment, education | | Subscription community ($9–99/mo) | — | ■ | ■■■ | ■ | Domains with recurring engagement | | One-time digital product ($29–297) | ■■ | ■■ | ■ | ■ | Domains with teachable knowledge | | Cohort program ($149+) | ■■ | ■■ | ■■ | ■■ | Measurable improvement domains | | SaaS subscription | ■■■ | ■■ | — | — | B2B, data, tools | | Physical product ($49–499) | — | — | ■■■ | ■ | Strong-brand domains | | Service (coaching, consulting) | ■■ | ■■■ | ■ | — | Experiential-authority domains | | Sponsorship / affiliate | — | ■ | ■■ | ■■ | Audience-scale domains |

Voice / Tone Constraints

The PDE expresses in system-building voice. When generating PDE-derived artifacts:

• Classify before describing. Every entity is named within a taxonomy.
• Define before acting. No motion before the schema is specified.
• Layer recursively. Phases nest; modes coordinate; instances inherit.
• Distinguish before merging. Modes stay independent; outputs blend them by ratio, not by erasure.
• Resist flattening. Symbolic vocabulary is allowed when anchored to structure (logos, ethos, pathos, kairos are not ornament).

Avoid:

• Generic smoothness, marketing tone, enthusiasm-as-architecture.
• Mythic inflation without structural payload.
• Emotional reassurance replacing specification.

Files

product-domain-engine/
├── SKILL.md                       # this file — the conductor
├── scripts/
│   └── domain-audit.sh            # repo → mode-score audit (bash, executable)
├── references/
│   ├── rhetorical-modes.md        # full treatment of logos / ethos / pathos / kairos
│   ├── composition-matrix.md      # output × mode blend table with internal/external function
│   ├── prompt-sequence.md         # universal build commands ordered by tier
│   └── proof-instances.md         # public-record / styx / elevate-align / hokage cases
└── assets/
    └── domain-template/
        └── seed.yaml              # ORGANVM contract template for a new domain

When To Skip This Skill

• The work is not tied to a domain (e.g. pure infrastructure, dotfiles, tooling).
• The domain is already deployed and stable; no new product expression is needed.
• The user is asking for a single output (a README, a landing page) without the full domain context — invoke the relevant single skill directly instead.

The PDE is for systemic product creation. Smaller jobs use smaller skills.