managing-agricultural-lending
Structures agricultural loan analysis with crop budget evaluation, collateral assessment, and seasonal patterns. Use when underwriting agricultural loans, evaluating farm financials, or analyzing crop budgets.
Best use case
managing-agricultural-lending is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Structures agricultural loan analysis with crop budget evaluation, collateral assessment, and seasonal patterns. Use when underwriting agricultural loans, evaluating farm financials, or analyzing crop budgets.
Teams using managing-agricultural-lending 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/managing-agricultural-lending/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How managing-agricultural-lending Compares
| Feature / Agent | managing-agricultural-lending | 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?
Structures agricultural loan analysis with crop budget evaluation, collateral assessment, and seasonal patterns. Use when underwriting agricultural loans, evaluating farm financials, or analyzing crop budgets.
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
# Managing Agricultural Lending Structures agricultural loan analysis with crop budget evaluation, collateral assessment, and seasonal patterns for farm operating lines, term loans, and real estate credit. ## When To Use - Underwriting a new agricultural operating line or term loan - Reviewing an existing ag borrower for annual renewal or modification - Evaluating a crop budget or livestock production plan submitted by a borrower - Assessing farmland or equipment collateral for lending purposes - Analyzing seasonal cash flow patterns to set repayment schedules and advance rates ## Inputs To Gather - **Borrower financials**: Balance sheet, income statement, and Schedule F (or farm tax returns) for at least 3 years - **Crop budget**: Projected acres, expected yields, input costs (seed, fertilizer, chemicals, fuel, labor), and anticipated commodity prices - **Livestock data** (if applicable): Head count, feed costs, veterinary expenses, projected sale weights and prices - **Collateral documentation**: Land appraisals, equipment lists with valuations, grain inventory positions, livestock inventory - **Lease schedules**: Cash rent or crop-share terms for all operated acres (owned vs. leased breakdown) - **Insurance coverage**: Crop insurance elections (Revenue Protection, YP, SCO/ECO), coverage levels, and APH yields - **Market data**: Current futures prices for relevant commodities, local basis history, and forward contract positions - **Debt schedule**: All existing obligations with balances, rates, maturities, and annual payment requirements - **Government program payments**: ARC/PLC elections, CRP contracts, conservation program income [VERIFY: current farm bill program details] ## Workflow 1. **Assess borrower history** — Review 3-year financial trend for net farm income, working capital, debt-to-asset ratio, and term debt coverage. Calculate owner equity and current ratio. Flag any year where net farm income was negative or term debt coverage fell below 1.15x. 2. **Evaluate the crop budget** — Stress-test projected yields against APH and county averages. Compare input cost assumptions to regional benchmarks. Recalculate the budget at breakeven commodity prices and at a 15-20% yield reduction to identify downside exposure. Document the price assumptions used (futures month, basis estimate, contract vs. unpriced bushels). 3. **Analyze seasonal cash flow** — Map monthly inflows (crop sales, government payments, insurance proceeds, livestock sales) against outflows (input purchases, cash rent, living expenses, debt service). Identify the peak borrowing month and confirm the operating line size covers it with adequate margin. Set advance rates tied to collateral type: typically 60-70% on stored grain, 50-65% on livestock, and higher percentages on contracted production. 4. **Appraise collateral** — For farmland, use comparable sales adjusted for soil productivity (CSR2 or equivalent index) [VERIFY: productivity index standard varies by state]. For equipment, apply scheduled depreciation or auction comparable values, not book value. For grain collateral, mark to current market and apply a price haircut. Calculate total collateral coverage ratio against proposed exposure. 5. **Structure the loan** — Match repayment terms to the income cycle: operating lines renewing annually after harvest, intermediate-term loans (equipment, breeding stock) on 3-7 year amortization, and real estate on 15-25 year amortization. Set the operating line maturity to align with the expected marketing window (e.g., March 1 for prior-year corn/soybean borrowers). Include provisions for carryover debt if partial crop sale is anticipated. 6. **Identify risk factors and mitigants** — Document concentration risk (single crop, single geography), weather exposure, operator experience, and lease renewal risk. Note mitigants such as crop insurance coverage levels, diversified enterprises, forward contract percentages, and strong working capital reserves. 7. **Prepare the credit recommendation** — Summarize loan purpose, amount, rate, terms, collateral, covenants, and conditions. Include a sensitivity table showing debt service coverage under base-case, stressed-price, and stressed-yield scenarios. Note any policy exceptions requiring approval. ## Output - **Credit analysis memo** with borrower overview, financial trend summary, crop budget evaluation, collateral analysis, risk assessment, and loan recommendation - **Seasonal cash flow projection** showing monthly advances and repayments across the production cycle - **Sensitivity matrix** with coverage ratios under at least three scenarios (base, price stress, yield stress) - **Collateral summary table** listing asset type, appraised value, advance rate, and loan-to-value ratio - **Covenant and condition checklist** (e.g., working capital minimum, annual financial statement delivery, crop insurance maintenance requirement) ## Quality Checks - Verify yield assumptions are consistent with APH history and do not exceed county averages without documented justification - Confirm commodity price assumptions reference a specific futures contract month and basis — not stale or aspirational prices - Ensure debt service coverage is calculated on an accrual basis including principal payments, not just interest - Check that collateral values use current appraisals or market data (appraisals older than 24 months should be flagged) [VERIFY: institution-specific appraisal policy and regulatory requirements under FIRREA/interagency guidelines] - Validate that crop insurance coverage level is sufficient relative to the operating line advance rate - Confirm the operating line size accounts for carryover debt from the prior year, if any - Cross-check cash rent rates against county averages to flag outlier lease obligations - Mark any assumed government payment amounts with [VERIFY] if farm bill reauthorization is pending or program terms have changed