Skills

Market Landscape Scan

Map a market's segments, players, substitutes, and whitespace with cited evidence.

Install

npx skills add deanpeters/Product-Manager-Skills --skill market-landscape-scan -g -a claude-code -y
Category
Engineering
Updated
20d ago
License
See repository
Context cost
Mediumabout 2,256 tokens
Runs scripts
No, instructions only

What it does

Map a market's segments, players, substitutes, and whitespace with cited evidence. Use when entering or re-evaluating a market before sizing, positioning, or picking competitors to study.

Market Landscape Scan

Purpose

Map a market's structure using a workflow, not a one-shot answer: search plan → segmentation → player mapping → dynamics → whitespace → next-step options. The output is the landscape view that everything downstream stands on, sizing needs to know the segments, positioning needs to know the players, and competitor deep-dives need to know who's worth the effort. This skill maps structure, not magnitude: it tells you who plays where and why, not how big the prize is.

Input

Works best with: the market, segment, or problem space to map, in your words, not an analyst category, and the decision this landscape should support (market entry, new product line, re-positioning, build-vs-buy). Also useful: any boundary narrower than global, geography, buyer size, price band, and players you already know about, so the scan spends its effort on what you don't.

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 (market, decision, boundary) and proceeds on labeled assumptions if they go unanswered, that's the autonomous-investigation contract.

Example invocation: Run a market landscape scan on developer-facing API observability tools, EU-only, this supports a Q4 market-entry decision.

Key Concepts

Read the whole SKILL.md on GitHub

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