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Productprint Engine

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A 6-layer AI skill chain powered by an enterprise-grade deep research engine that produces an integrated product/platform strategy thesis — positioning AND a Now/Next/Later roadmap both fall out of one coherent strategy.

Built by Branded Mayhem Collective for Claude. Works in Claude.ai (web), Claude Code, Claude desktop, Cursor, and Codex CLI — anywhere SKILL.md is read.


What It Does

The Productprint Engine uses an 8-phase deep research pipeline (scope, plan, retrieve, triangulate, synthesize, critique, refine, package) to gather evidence from hundreds of sources, then chains that evidence through 6 product strategy layers to produce a consulting-grade strategy thesis.

Input: A product or platform name, target user description, and 3-5 competitor or substitute product URLs.

Output: A complete Integrated Product Strategy Thesis with:

  • Core Strategic Truth (the foundational user tension driving real adoption)
  • Playing-to-Win cascade: where-to-play / how-to-win with evidence-gated elements (segments, JTBD outcomes, competitive capability map, economic engine, differentiation wedge)
  • Strategic bets + prioritized Now/Next/Later roadmap (3 horizons, 18 months) + build/buy/partner decisions + risk register with leading indicators
  • Positioning statement and ≤25-word product one-liner, bet narrative, strategy-on-a-page
  • Assumption-test log: load-bearing assumptions extracted, falsification attempts, PROCEED/REFINE verdict
  • Economic model with ranges (revenue model, pricing bands, unit economics scenarios)
  • Full source bibliography (typically 400-1000+ research sources)

The 6-Layer Chain

┌─────────────────────────────────────────────────────┐
│  DEEP RESEARCH ENGINE                                │
│  8-phase pipeline: scope → plan → retrieve →         │
│  triangulate → synthesize → critique → refine →      │
│  package                                             │
│                                                      │
│  • 4 research modes (Quick/Standard/Deep/UltraDeep)  │
│  • Parallel web search (5-10 concurrent queries)     │
│  • Source credibility scoring (0-100)                 │
│  • Citation verification + anti-hallucination        │
│  • Progressive file assembly for unlimited length    │
└──────────────┬──────────────────────────────────────┘
               │ powers every research-heavy layer
               ▼
Layer 1: Core Strategic Truth ── one validated sentence capturing user tension
    |
    v
Layer 2: Productprint Tier-A ── 10 strategy elements with evidence gates
    |
    v
Layer 3: Productprint Tier-B ── 5 strategy elements: bets, roadmap, build/buy/partner, prioritization, risk register
    |
    v
Layer 4: Productprint Tier-C ── 4 deployable positioning artifacts: positioning statement, one-liner, bet narrative, strategy-on-a-page
    |
    v
Layer 5: Thesis Stress-Test ── extracts load-bearing assumptions; tries to FALSIFY them; returns PROCEED or REFINE
    |
    +-- If REFINE --> re-run Layers 1-4 with constraint package injected (the magic)
    |
    +-- If PROCEED --v
                     |
Layer 6: Strategy Thesis Compiler ── integrated product strategy + Now/Next/Later roadmap

Requirements

  • A Claude account — works in Claude.ai (web), Claude Code (CLI), Claude desktop, Cursor, or Codex CLI. Any surface that reads SKILL.md.
  • Claude Max or Pro subscription — the research phases are token-intensive
  • Web search — built-in WebSearch works out of the box.
  • Python 3.9+ — for research engine scripts (validation, citation verification)
  • Optional: weasyprint (pip install weasyprint) — for PDF output

Installation

Install

Claude Code (plugin install — primary path):

/plugin marketplace add Branded-Mayhem-Collective-LLC/productprint-engine
/plugin install productprint-engine@bmc-productprint-engine

Claude.ai web / Claude Desktop:

In Claude.ai web, paste the repo URL into the chat and ask:

"Install the skills from https://github.com/Branded-Mayhem-Collective-LLC/productprint-engine"

Alternatively download the repo as a .zip (GitHub Code button → Download ZIP), unzip locally, then upload the skill folders via Settings → Customize → Skills.

Step 3 — verify

In Claude Code:

/plugin list

You should see productprint-engine enabled, with skills available under /productprint-engine:<skill>.


Quick Start

1. Start the chain

Run the core-strategic-truth skill for [PRODUCT NAME].
Topic: [what it does]
Audience: [who uses it]
Region: [geographic market]
Mode: standard

2. Let it chain through Layers 2-4

The skills auto-chain. If they don't, prompt each tier manually:

  • "Run productprint-tier-a using the Core Strategic Truth output as seed."
  • "Run productprint-tier-b using the Tier-A output as seed."
  • "Run productprint-tier-c using the Tier-A and Tier-B outputs as seeds."

3. Run the thesis stress-test

Run the thesis-stress-test for [PRODUCT NAME].

Competitors:
1. [Competitor 1] - [URL]
2. [Competitor 2] - [URL]
3. [Competitor 3] - [URL]

4. If REFINE, run the second pass

Re-run Layers 1-4 with the constraint package from the stress-test injected as a hard constraint. Then re-run Layer 5 to confirm PROCEED.

5. Compile the thesis

Run the strategy-thesis-compiler.
Product: [PRODUCT NAME]
Client: [CLIENT NAME]
Prepared by: [YOUR FIRM NAME]

Contract & Guide

  • CONTRACT.md — the domain-neutral skeleton both Brandprint and Productprint conform to. Six conformance points that define what makes a valid "print." Read this before modifying any layer.
  • /productprint-engine-guide — step-by-step runner guide, troubleshooting, and tips for best results.

What's in the Box

productprint-engine/
|-- README.md                                    # This file
|-- CONTRACT.md                                  # Domain-neutral print skeleton (SSOT)
|-- skills/
    |-- core-strategic-truth/                    # Layer 1
    |   +-- references/
    |-- productprint-tier-a/                     # Layer 2
    |   +-- references/
    |-- productprint-tier-b/                     # Layer 3
    |   +-- references/
    |-- productprint-tier-c/                     # Layer 4
    |   +-- references/
    |-- thesis-stress-test/                      # Layer 5
    |   +-- references/
    |-- strategy-thesis-compiler/                # Layer 6
    |   +-- references/
    +-- productprint-engine-guide/               # Runner guide
        +-- references/

Support

Questions or issues? Contact michael@brandedmayhem.com

Built by Branded Mayhem Collective | Dallas, Texas

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6-layer AI skill chain for consulting-grade product/platform Strategy Theses (Playing-to-Win cascade + adversarial thesis stress-test). Built for Claude Code.

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