| name | market-landscape-scan |
| argument-hint | [market or problem space, and the decision it supports] |
| description | 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. |
| intent | Autonomous market discovery: map how buyers segment the market, who plays where (direct, adjacent, substitutes, emerging), where the money and momentum are, and whether apparent whitespace is opportunity or dead zone โ with labeled evidence, so sizing and positioning start from structure instead of vibes. |
| type | workflow |
| theme | market-intelligence |
| best_for | ["Mapping who plays in a market before committing to enter or re-position","Scoping a new product line with a defensible view of segments and substitutes","Producing the landscape view that feeds TAM/SAM/SOM sizing and competitor deep-dives"] |
| scenarios | ["We're considering a move into contract-analytics tooling โ map that market for me","My exec team keeps citing an analyst quadrant; show me how buyers actually segment this space"] |
| estimated_time | 20-40 min per run |
Market Landscape Scan
Purpose
Map a market's structure using a workflow, not a one-shot answer: search plan โ segmentation โ
player mapping โ dynamics โ whitespace โ next-step options. The output is the landscape view that
everything downstream stands on โ 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 โ in your words, not an analyst
category โ and the decision this landscape should support (market entry, new product line,
re-positioning, build-vs-buy).
Also useful: any boundary narrower than global โ geography, buyer size, price band โ and players
you already know about, so the scan spends its effort on what you don't.
Input supplied inline with the invocation โ text after the skill name, a pasted context dump, or an
appended ARGUMENTS: line โ 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 โ that's the
autonomous-investigation contract.
Example invocation: Run a market landscape scan on developer-facing API observability tools, EU-only โ this supports a Q4 market-entry decision.
Key Concepts
- Governing protocol: this skill honors the
autonomous-investigation
contract โ question budget of 3, search-plan gate, Fact/Inference/Assumption labels, Just Enough
Mode, stable schema, 4-option Final Step.
- Discipline mix: primarily OSINT (analyst and review coverage, press, communities) with
GEOINT/DEMOINT for segment reality-checks and FININT for funding signals โ see
intelligence-collection-disciplines.
- Buyer-view segmentation. Map the market as buyers experience it, not as vendors or analysts
carve it โ and note where the two disagree. Analyst quadrants are a map someone else drew for their
own purposes; the disagreement between vendor categories and buyer reality is often where the
opportunity hides.
- Non-consumption is a competitor. "They use spreadsheets" belongs on the player map. Treating
substitutes and non-consumption as competitors is the most commercially useful habit in market
analysis โ the biggest rival is usually the status quo, and it never shows up in a quadrant.
