analyzing-property-casualty-lines
Evaluates P&C insurance lines with market cycle analysis, loss cost trending, and competitive assessment. Use when analyzing P&C markets, tracking insurance cycles, or evaluating line profitability.
Best use case
analyzing-property-casualty-lines is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Evaluates P&C insurance lines with market cycle analysis, loss cost trending, and competitive assessment. Use when analyzing P&C markets, tracking insurance cycles, or evaluating line profitability.
Teams using analyzing-property-casualty-lines should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/analyzing-property-casualty-lines/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How analyzing-property-casualty-lines Compares
| Feature / Agent | analyzing-property-casualty-lines | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Evaluates P&C insurance lines with market cycle analysis, loss cost trending, and competitive assessment. Use when analyzing P&C markets, tracking insurance cycles, or evaluating line profitability.
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
# Analyzing Property Casualty Lines ## When To Use - Evaluating profitability and underwriting performance of specific P&C lines (commercial auto, GL, property, workers' comp, professional liability, etc.) - Tracking market cycle position (hard vs. soft market) for pricing and capacity decisions - Performing loss cost trending to project future loss development - Assessing competitive positioning within a line or geographic market - Supporting reinsurance purchasing decisions with line-level performance data - Preparing portfolio reviews for underwriting committees or investor reporting ## Inputs To Gather - **Line-of-business data**: Written premium, earned premium, incurred losses (paid + reserved), ALAE/ULAE splits, policy counts by line - **Loss triangles**: Accident-year or policy-year development triangles (paid and incurred) with a minimum of 5–10 development periods - **Rate change history**: Rate filings, rate adequacy studies, or renewal rate change tracking by quarter - **Expense data**: Commission rates, acquisition costs, general expenses, and combined ratio components - **Market benchmarks**: Industry combined ratios, rate-on-line indices, AM Best or S&P segment reports, ISO/NCCI aggregate data [VERIFY: benchmark availability varies by line and jurisdiction] - **Catastrophe exposure**: PMLs, AALs, or cat model output for property-exposed lines - **Regulatory context**: Rate filing requirements, prior-approval vs. file-and-use status by state [VERIFY: filing requirements by state and line] ## Workflow 1. **Define scope and segmentation** - Identify target lines (e.g., commercial property, general liability, personal auto) - Set the analysis period (typically 5–10 accident years for trend credibility) - Determine segmentation: by state, policy size, distribution channel, or coverage sub-type 2. **Develop loss costs** - Select development method (chain-ladder, Bornhuetter-Ferguson, or Cape Cod) based on data maturity and volatility - Apply loss development factors to bring immature years to ultimate - Trend historical losses to prospective cost level using loss cost trend factors (severity + frequency) - Adjust for one-time events: strip out or cap large losses, isolate catastrophe losses from attritional - On-level earned premiums to current rate levels to enable apples-to-apples comparison 3. **Analyze market cycle position** - Plot historical combined ratios and rate changes over 10+ years to identify cycle phase - Compare current rate adequacy to indicated loss costs — gap signals where the cycle is heading - Assess supply-side indicators: carrier entries/exits, capacity changes, reinsurance pricing shifts - Evaluate demand-side factors: exposure growth, insured value inflation, emerging liability trends - Classify current position: hardening, hard, softening, or soft, with supporting evidence 4. **Perform competitive assessment** - Benchmark combined ratio, loss ratio, and expense ratio against top-5 and industry-average peers - Identify market share trends: growing, stable, or contracting relative to competitors - Evaluate product differentiation: coverage breadth, endorsement strategy, claims service reputation - Assess distribution advantage: agency relationships, binding authority, digital channel penetration - Note competitive moats or vulnerabilities (e.g., data advantage in niche lines, adverse selection risk) 5. **Synthesize findings and recommendations** - Rank lines by risk-adjusted return: calendar-year combined ratio, accident-year loss ratio, and reserve adequacy - Flag lines requiring remediation (rate increases, non-renewal actions, coverage restriction) - Identify growth opportunities where rate adequacy exceeds target and competitive position is strong - Quantify reinsurance implications: lines where volatility warrants increased cession or restructured treaties ## Output - **Line Performance Summary Table**: Each line with earned premium, loss ratio (calendar and accident year), expense ratio, combined ratio, rate change trend, and cycle position classification - **Loss Development Exhibit**: Selected ultimate losses by accident year with selected LDFs and methodology notes - **Market Cycle Chart**: Visual overlay of combined ratio and rate changes over time with cycle phase annotations - **Competitive Positioning Matrix**: 2×2 or ranked grid showing relative profitability vs. market share position - **Recommendations**: Prioritized action items per line — grow, maintain, remediate, or exit — with supporting rationale ## Quality Checks - Confirm loss triangles reconcile to financial statement Schedule P or statutory filings [VERIFY: reconciliation targets depend on reporting entity type] - Validate that on-leveling factors correctly reflect cumulative rate changes, not just filed changes - Verify trend selections are supportable: compare selected severity/frequency trends against industry benchmarks and historical fit - Ensure catastrophe vs. attritional loss separation is consistent across all accident years - Cross-check combined ratio components sum correctly (loss ratio + DCCE ratio + expense ratio = combined ratio) - Confirm market benchmark data is from the same reporting period and line definition as the subject portfolio - Flag any line where data credibility is low (fewer than 1,000 claims or 3 development periods) with [VERIFY]