Use when assessing industry dynamics, cyclicality, sector-specific KPIs, competitive structure, or sector-adjusted credit risk before detailed issuer modeling. This skill frames what metrics matter, what a sector can support through the cycle, and which structural or documentation issues deserve extra scrutiny.
Sector analysis provides the context around cyclicality, competitive structure, pricing power, regulation, and sector KPIs that determine what a credit can support through the cycle. Use it to frame the issuer before detailed modeling, documentation review, or surveillance work.
Read the narrowest relevant reference rather than loading the full library.
references/cross-asset-sector-framework.md — Start here: the five-dimension universal scaffold for cross-sector and cross-asset comparisons (corporate, private credit, CRE, infrastructure, structured finance).references/sector-toolkit.md — Compact overlays: cyclical and secular framing, pricing power and pass-through, cross-sector comparison shortcuts, leverage calibration prompts, documentation watchpoints, and supply-chain vulnerability.references/technology-disruption-timeline.md — Timing and debt-life lens: disruption horizons, maturity alignment, and refinancing-risk framing across industries. This is not a substitute for references/industry/technology.md, which holds the technology-sector operating detail, KPIs, and sub-sector deep dives. For property-type digital infrastructure, use references/industry/real-estate-data-centers.md for data centers and references/industry/real-estate-alternative.md for towers and related alternative real-estate digital infrastructure.references/industry/*.md — Sector-specific files as needed (for example agribusiness-protein-fertilizer, aerospace-defense, automotive, banks, business-services, building-construction, capital-markets-asset-management, chemicals, consumer-finance, energy-midstream, environmental-services-waste, financial-services, food-beverage, gaming-leisure-hospitality, healthcare, household-personal-care-consumer-products, industrials-manufacturing, insurance, media, metals-mining, packaging, paper-forest-products, payments-fintech, pharma-biotech-medtech, power-generation-renewables, real-estate-alternative, real-estate-data-centers, real-estate-hotels, real-estate-industrial-logistics, real-estate-office, real-estate-residential, real-estate-retail, retail-consumer, specialty-finance-leasing, technology, telecom, tobacco, transportation-logistics, and utilities-infrastructure).When asked to analyze a sector or provide industry context for a credit, produce:
references/rating-agency-thresholds.md for any current numerical calibration.skills/credit-memo-generator/references/analytical-limitations.md.skills/credit-memo-generator/references/incomplete-data-guidance.md for gap disclosure templates. Never silently fill gaps with assumptions.skills/credit-memo-generator/references/analytical-limitations.md to identify when the framework may produce unreliable results. Disclose limitations proactively rather than presenting framework outputs as authoritative.examples/worked-sector-analysis-example.md: Sector analysis for business services showing market structure, cycle framing, key KPIs, sector risks, and sector-adjusted credit interpretation.