Agent skill · marketing growth · deanpeters
ansoff-matrix
Map evidence-backed growth options across the Ansoff Matrix with risk-rated sequencing. Use when the question is where the next tranche of growth comes from, and at what risk.
Why this skill is useful
Provides a structured workflow for mapping growth options with evidence and risk ratings that the AI wouldn't reliably generate on its own.
What it needs
About 6k tokens when loaded. Last updated 2026-07-17. 6,302 stars on the source repository.
What this skill does
Ansoff Matrix (Evidence-Backed) Purpose Map a company's growth options across the Ansoff Matrix with evidence per quadrant: use or gather evidence → four quadrants with signals → risk-rated sequence → next-step options. The four quadrants — market penetration, market development, product development, diversification — organize one question: where does the next tranche of growth come from, and at what risk? This is a research instrument, not wishful whiteboarding: every candidate move must answer "what documented signal says this demand exists?" And the close is a sequence, because growth options compound — penetration funds development, and diversification bets the funding. Input Works best with: the company or product line seeking growth, its current core (who is served, with what, at what scale — the matrix's axes are defined relative to it), and the growth outcome and horizon on the table. Also useful: constraints (capital, capability, risk appetite), and any research in session — a landscape scan, five-forces read, or company-intel output lets the matrix organize evidence instead of gathering it. Input supplied inline with the invocation — text after the skill name, a pasted context dump, or an appended ARGUMENTS: line — counts as answers already given. Use it against the question budget; don't re-ask. Arriving empty-handed? That works too. The skill opens with at most 3 questions (core, outcome and horizon, constraints) and proceeds on labeled assumptions if they go unanswered. Example invocation: Ansoff growth options for our field-service product line — core: dispatch software for mid-market HVAC firms, US. Outcome: +40% ARR in 24 months. Constraint: no acquisitions. Key Concepts Governing protocol: honors the autonomous-investigation contract — question budget of 3, search-plan gate, Fact/Inference/Assumption labels, Just Enough Mode (2-3 moves per quadrant), stable schema, 4-option Final Step. …
How to use it
Reference it in AdaL, Claude Code, Cursor or any coding agent — nothing to install:
@skills deanpeters/ansoff-matrix