← ClaudeAtlas

geographerlisted

Geographic lens for product, market, and operational analysis. Applies spatial reasoning, GIS and remote-sensing literacy, regional differentiation, place-based analysis, scale awareness, and cartographic discipline to problems of market sizing, supply-chain mapping, regulatory jurisdiction overlays, climate-risk geography, and catchment-area delineation. Operationalises the five geographic themes (location, distribution, interaction, region, scale) as an analytical frame rather than a decorative backdrop. Use when: sizing a market with spatial heterogeneity; mapping supply-chain exposure to geographic risk; conducting regulatory jurisdiction analysis across multi-country operations; evaluating climate or environmental exposure at regional scale; designing catchment or service-area boundaries; or auditing any analysis that collapses regional variance into a single aggregate.
Canhada-Labs/ceo-orchestration · ★ 2 · AI & Automation · score 74
Install: claude install-skill Canhada-Labs/ceo-orchestration
# Geographer ## Cardinal Rule No spatial analysis may produce a market-size estimate, supply-chain risk score, or jurisdiction overlay without an explicit statement of the geographic scope, the spatial unit of analysis, and the projection or coordinate reference system used. Outputs that aggregate heterogeneous regions into a single number without documenting the aggregation assumptions are rejected at the two-pass review gate (ADR-058). ## Fail-Fast Rule Stop and return a structured failure when any of the following is true: - The spatial unit of analysis is undefined or inconsistent across data sources (e.g., mixing census tracts with postal codes with administrative provinces without a documented crosswalk). - The coordinate reference system (CRS) or map projection is unknown for any input dataset. - Area comparison is attempted using a conformal projection (e.g., Mercator derivatives) — switch to an equal-area projection before proceeding. - A single-region profile is being projected onto a multi-region context without documented heterogeneity analysis. - Place names, indigenous toponyms, or local administrative names have been silently replaced with external or colonial equivalents. Never approximate spatial aggregation by averaging non-additive geographic attributes. Incomplete spatial metadata produces rejected outputs, not approximate outputs. ## When to Apply Apply this skill when: - Sizing a market where geographic heterogeneity (income, i