managing-credit-and-lending-wealth
Structures wealth-based lending analysis with securities-backed, real estate, and art lending evaluation. Use when evaluating wealth lending, analyzing pledge portfolios, or structuring high-net-worth credit.
Best use case
managing-credit-and-lending-wealth is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Structures wealth-based lending analysis with securities-backed, real estate, and art lending evaluation. Use when evaluating wealth lending, analyzing pledge portfolios, or structuring high-net-worth credit.
Teams using managing-credit-and-lending-wealth 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-credit-and-lending-wealth/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How managing-credit-and-lending-wealth Compares
| Feature / Agent | managing-credit-and-lending-wealth | 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 wealth-based lending analysis with securities-backed, real estate, and art lending evaluation. Use when evaluating wealth lending, analyzing pledge portfolios, or structuring high-net-worth credit.
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 Credit And Lending Wealth Structures wealth-based lending analysis with securities-backed, real estate, and art lending evaluation. ## When To Use - Evaluating a securities-backed lending (SBL) facility against a client's investment portfolio - Structuring or reviewing a real estate credit line secured by residential or commercial holdings - Analyzing art-backed or specialty-asset lending proposals - Comparing credit facilities across private banks for a high-net-worth or ultra-high-net-worth client - Assessing overall leverage exposure across a client's total balance sheet - Reviewing covenant compliance or margin call triggers on existing pledge arrangements ## Inputs To Gather - **Client profile**: Net worth tier, liquidity needs, income sources, tax residency, risk tolerance - **Portfolio data**: Holdings by asset class (equities, fixed income, alternatives, real estate, collectibles), custodian details, concentration levels - **Existing credit facilities**: Lender, facility type, outstanding balance, rate structure, maturity, covenants, cross-collateralization terms - **Proposed facility terms**: Loan-to-value (LTV) ratios offered, advance rates by collateral type, rate benchmarks (SOFR spread, prime), draw period, amortization schedule - **Collateral documentation**: Appraisals (real estate, art), UCC filings, pledge agreements, custodial control agreements - **Purpose of borrowing**: Liquidity bridge, asset acquisition, tax planning, estate planning, concentration management ## Workflow 1. **Map the collateral universe** - Categorize pledgeable assets: marginable securities, restricted/control stock, real estate equity, art/collectibles, private fund interests - Note assets excluded from borrowing base (e.g., illiquid alternatives, below-threshold positions) - Flag concentration risk — single-stock positions above 10% of portfolio require separate advance-rate treatment [VERIFY: lender-specific thresholds vary] 2. **Calculate borrowing capacity** - Apply lender advance rates by asset class (typical ranges: 50-95% for investment-grade bonds, 50-70% for diversified equities, 40-60% for real estate, 0-50% for art) [VERIFY: rates are lender- and market-dependent] - Compute aggregate borrowing base across all eligible collateral - Stress-test borrowing base under a 20-30% portfolio decline to identify margin call exposure 3. **Evaluate facility structure and terms** - Compare interest rate structures: floating (SOFR + spread) vs. fixed-rate tranches - Review commitment vs. uncommitted facilities — committed lines provide certainty but carry unused-line fees - Assess covenant package: minimum portfolio value, diversification requirements, reporting obligations - Identify cross-default and cross-collateralization clauses across multiple facilities 4. **Analyze risk and downside scenarios** - Model margin maintenance triggers: at what portfolio decline does a margin call occur? - Evaluate forced-liquidation risk and its tax consequences (especially for concentrated or low-basis positions) - Consider interest rate sensitivity on floating-rate facilities - Review Regulation U and Regulation T implications for purpose vs. non-purpose loans [VERIFY: applies to U.S.-based lending; other jurisdictions have separate margin regulations] 5. **Assess strategic fit** - Compare cost of borrowing vs. cost of liquidating (capital gains tax, loss of upside, portfolio disruption) - Evaluate whether leverage aligns with estate planning objectives (e.g., borrowing against assets rather than selling to defer step-up in basis) - Consider coordination with existing lines — avoid over-leveraging the same collateral pool - Review interest deductibility under current tax rules [VERIFY: IRC Section 163(j) and investment interest limitations] 6. **Compile recommendations** - Summarize optimal facility structure, recommended lender(s), and collateral allocation - Present side-by-side comparison if evaluating multiple lender proposals - Outline action items: documentation required, timeline, approval steps ## Output Produce a **Credit & Lending Analysis Report** containing: - **Executive summary**: Recommended facility structure, total borrowing capacity, and key risks in 3-5 sentences - **Collateral schedule**: Table of pledgeable assets with asset class, market value, advance rate, and borrowing base contribution - **Facility comparison matrix** (if multiple proposals): Rate, LTV, commitment type, fees, covenants side-by-side - **Stress-test results**: Borrowing base under baseline, moderate stress (-20%), and severe stress (-40%) scenarios with margin call trigger points - **Risk register**: Concentration risk, margin call exposure, tax consequences of forced liquidation, interest rate sensitivity - **Recommendations and next steps**: Facility selection rationale, documentation checklist, estimated timeline to close ## Quality Checks - Advance rates used match the specific lender's current schedule — do not default to generic industry averages without noting the source - Borrowing base math is internally consistent (sum of individual asset contributions equals stated total) - Stress-test assumptions are clearly stated and realistic (use actual historical drawdown data where available) - Tax implications of forced liquidation are flagged, including estimated capital gains exposure on low-basis positions - All jurisdiction- or lender-dependent figures are marked with [VERIFY] - Cross-collateralization and cross-default risks are identified if the client has multiple facilities - Report distinguishes between purpose loans (subject to margin regulation) and non-purpose loans - Recommendations align with the client's stated liquidity needs and risk tolerance — do not recommend maximum leverage by default
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