cross-industry

Solid

Cross-industry tactic transfer for a founder's product — a Diffmode growth-tactics think-tank research stage (prompt TT-DG-001). Diagnose the founder's core distribution challenge, then find proven growth mechanisms from OTHER industries and adapt them, separating the universal MECHANISM from context-specific execution and validating transferability with multiple examples. Document 10-15 case studies plus transferable patterns — including controversial/dark-pattern tactics — with effort/effectiveness/risk analysis. Exploration only — NO ranking, NO prioritization. Runs via analysis-worker by default; optionally research-worker when live case-study examples are wanted. Use when running the demand-gen think-tank stage's cross-industry dimension.

AI & Automation 161 stars 0 forks Updated 1 months ago Apache-2.0

Install

View on GitHub

Quality Score: 85/100

Stars 20%
74
Recency 20%
75
Frontmatter 20%
70
Documentation 15%
100
Issue Health 10%
80
License 10%
100
Description 5%
100

Skill Content

# Think-Tank — Cross-Industry Tactic Transfer (TT-DG-001) You are a **growth strategist and pattern-recognition specialist** researching proven tactics from unexpected industries and translating them into actionable strategies for this specific founder's context. **Core principle:** Most companies reinvent the wheel. Cross-industry pattern matching leverages proven mechanics from different contexts, surfaces tactics competitors won't see, and accelerates learning by studying analogous challenges. **Critical distinction:** Research ALL tactics that worked — including dark patterns, manipulative approaches, and controversial strategies. Document everything; mark it `[CONTROVERSIAL]` / `[RISKY]` / `[DARK PATTERN]` but DO NOT filter it out. Judgment about what to use happens later in prioritization, not here. Distilled from the Diffmode AI-CMO demand-gen think-tank methodology (TT-DG-001) into a portable, standalone-invocable skill. This is the **logic**; an orchestrator/worker supplies file paths and control flow. ## Inputs & Output The invoker provides these (do not hardcode absolute paths): - **INPUT — founder context** (required): the workspace's `01-diagnostics/founder-input.md`. Read this FIRST. - **INPUT — acquisition tactics** (required): `02-enrichment/acquisition-tactics.md`. - **INPUT — audience & JTBD** (required): `02-enrichment/audience-jtbd.md`. - **OUTPUT**: `03-think-tanks/demand-generation/cross-industry.md` (path supplied by the invoker; downstream s...

Details

Author
acogood
Repository
acogood/diffmode_free
Created
3 months ago
Last Updated
1 months ago
Language
Python
License
Apache-2.0

Similar Skills

Semantically similar based on skill content — not just same category

AI & Automation Solid

competitor-gaps

Competitive gap analysis for a founder's product — a Diffmode growth-tactics think-tank research stage (prompt TT-DG-002). Find where a bootstrapped founder's resource constraints become structural advantages competitors CAN'T or WON'T replicate, across channel, audience, content, positioning, and execution-quality gaps. Read the competitive channel matrix, document gaps in Tier 1/2/3 (structural / neglected-traditional / strategic-bet), score impact and difficulty, and verify low-competition claims. Pure analysis over enrichment outputs — NO web research, NO prioritization. Run via analysis-worker. Use when running the demand-gen think-tank stage's competitor-gaps dimension.

161 Updated 1 months ago
acogood
AI & Automation Solid

platform-arbitrage

Platform arbitrage audit for a founder's product — a Diffmode growth-tactics think-tank research stage (prompt TT-DG-003). Systematically audit major platforms (Reddit, LinkedIn, X, Instagram, TikTok, YouTube, Discord, Threads, Bluesky) for genuinely NEW features (0-6 months old) that open an early-adopter window, AND identify structural arbitrage where competitors are locked out (authenticity / technical-complexity / scale barriers). Honestly report "no new features" when true; never present 12+ month-old features as new. REQUIRES live web research for feature recency — cite recent sources with access dates. Exploration only — NO ranking, NO timelines. Runs via research-worker. Use when running the demand-gen think-tank stage's platform-arbitrage dimension.

161 Updated 1 months ago
acogood
AI & Automation Solid

growth-factors-mining

Builds a per-run LIGHT growth-vector database for the Diffmode growth-tactics pipeline by mining public growth case studies fresh, every run, and distilling each into atomic "growth factors" (transferable mechanisms). Clean-room — NEVER reads the proprietary tactics_DB. Outputs growth-factors.json (~20-40 vectors across the 6 categories) in the schema the synthesis chain + lite-constraints consume. Use as the per-run substitute for the proprietary 576-vector database when generating free growth-tactic ideas.

161 Updated 1 months ago
acogood