Debt Sourcing Agent
SkillCommerce & financeSizes a company's debt need, maps the lender universe, and returns a shortlist of lenders with indicative terms. Use when you need lenders and indicative debt terms for a financing.
Instructions available. Your AI can read the instructions. Execution depends on the setup they require.
Account requirements not reviewed. Check the skill instructions before use; ahel provides instructions and does not run this skill.
Add ahel to your AI once: Claude, ChatGPT, Cursor, Claude Code or Codex. Then ask it to use this.
Then ask your AI: use the Debt Sourcing Agent skill
What this skill tells your AI
The instructions your AI receives, as published by andreworia/claude-finance-skills in packs/investment-banking/skills/debt-sourcing/SKILL.md and read by ahel’s review.
When to use
Use this agent when a company or sponsor needs to raise debt and you must identify who can provide it and on what terms. The trigger is a live or near-term financing need where the borrower wants a realistic view of the lender universe and indicative pricing before formally launching a process.
What it does
It produces a lender shortlist with indicative terms: the credible providers for the situation, the structure each is likely to offer, and the pricing, leverage, covenant, and tenor ranges to expect from each.
Method
This agent runs a structured debt financing sourcing process.
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Size the debt need. Establish uses (acquisition, refinancing, growth capex, dividend recap) and the funding gap after equity.
- Anchor capacity to EBITDA, free cash flow, and asset base, and compute target leverage as total debt to EBITDA.
- Sanity-check serviceability with interest coverage (EBITDA to interest) and fixed-charge coverage; a deal that prices tightly on leverage can still fail on coverage.
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Assess the borrower credit profile. Score scale, margin stability, cash conversion, cyclicality, and existing debt or intercreditor constraints.
- Form an explicit view on where the credit sits: investment-grade-like, crossover, or clearly leveraged.
- Pitfall: ignoring seasonality or customer concentration, which lenders will price for even if the trailing numbers look clean.
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Map the lender universe. Group candidates into commercial and bulge-bracket banks, direct lenders and private credit funds, and institutional buyers of syndicated paper.
- Note each group's typical check size, risk appetite, and speed to close; banks are cheaper but slower and more covenant-heavy, direct lenders are faster and more flexible at a premium.
- Screen for relationship fit and sector familiarity; a lender that already knows the industry underwrites faster and holds larger.
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Tranche the structure. Decide the shape: senior secured term loan and revolver, unitranche, second lien, mezzanine, or a combination.
- Match each tranche to the lender type most likely to hold it and to the borrower's cost versus flexibility priorities.
- What good looks like: the blended cost of capital is minimized subject to the borrower's certainty and covenant constraints, not just the headline spread.
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Gather indicative terms per candidate. For each lender collect pricing spread over the reference rate, achievable leverage, covenant posture, tenor, amortization, call protection, and fees.
- Distinguish maintenance covenants (tested each period) from incurrence covenants (tested only on action); the difference materially changes borrower freedom.
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Score and rank candidates. Weight cost of capital, certainty of close, flexibility of terms, relationship value, and hold size.
- Flag any lender whose appetite depends on syndicating the paper rather than holding it, since that adds execution risk.
- Separate the all-in cost (spread plus fees plus original issue discount) from the headline spread, since fees can flip the ranking.
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Shortlist. Recommend a focused set of lenders to approach, the structure to run with each, and the sequencing of outreach.
- Lead with the highest-certainty provider when timing is tight, even at a small cost premium.
- Keep a credible backup in a different lender category so the borrower retains negotiating leverage on terms.
Inputs
- Company financials: revenue, EBITDA, free cash flow, and existing debt schedule
- Purpose and target size of the raise
- Timeline and any certainty-of-funds requirement
- Sponsor or ownership context and appetite for covenants versus cost
- Collateral, guarantees, or intercreditor constraints
- Any rating (public or shadow) and recent trading levels of existing debt
- Reference rate environment and hedging preferences
Output format
Claude returns:
- A brief credit summary stating scale, leverage capacity, coverage, and where the credit sits on the risk spectrum.
- A recommended structure by tranche, naming each facility, its size, and its intended holder.
- A lender shortlist as ranked entries, one per lender, each stating lender type, the tranche it would provide, indicative pricing spread, achievable leverage, covenant posture, tenor, and a one-line rationale (described in prose, not a table).
- A closing section with the recommended outreach sequence and the key risks to certainty of close.
Example
Northwind Logistics needs to raise 220 million dollars to refinance existing debt and fund a bolt-on acquisition. EBITDA is 55 million dollars, so the ask implies about 4.0x leverage, with interest coverage holding above 2.5x at indicative pricing. The credit reads as solidly leveraged but cash-generative, with some freight-cycle sensitivity. Recommended structure: a 180 million dollar senior secured term loan plus a 40 million dollar revolver. A representative shortlist entry is a direct lender offering a 220 million dollar unitranche at a spread of roughly 550 basis points, leverage up to 4.25x, incurrence-based covenants, a 6-year tenor, and soft call protection for 12 months; the rationale is single-provider certainty and speed at a modest premium to a bank-led senior deal, which is why it is recommended first given the acquisition timeline.
Signals
- GitHub stars
- 20
- Forks
- 4
- Last commit
- Sep 2026
Advanced
- Item type
- skill
- Key
debt-sourcing- Source
- github.com/andreworia/claude-finance-skills
github.com/andreworia/claude-finance-skills
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