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corporate-credit-memo

Generates institutional-grade corporate credit application memoranda (20–30+ pages) from uploaded annual reports, financial statements, or user-provided financial data.

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Generates institutional-grade corporate credit application memoranda (20–30+ pages) from uploaded annual reports, financial statements, or user-provided financial data.

Generates institutional-grade corporate credit application memoranda (20–30+ pages) from uploaded annual reports, financial statements, or user-provided financial data. Key features include an intake and clarification workflow (single-message collection of deal parameters and prompt for required files), automated extraction of 3 years of annual financials plus the latest interim, auditor name/opinion capture, and calculation of all standard bank financial ratios with references. The Skill follows the eight-section bank memo structure, produces executive summary, credit rationale, covenant and security analysis, cashflow and sensitivity analysis, risk grading, recommended facility terms, and conditions precedent. It flags missing or TO BE CONFIRMED items (including RAROC and policy thresholds), highlights insufficient data for any ratios, and is tailored for credit analysts, relationship managers, and risk officers preparing loan approvals, due diligence, or credit committee papers.

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這個 Skill 如何運作

Generates institutional-grade corporate credit application memoranda (20–30+ pages) from uploaded annual reports, financial statements, or user-provided financial data.

SKILL.mdALPHIO / 已驗證

Corporate Credit Memo Skill

Produces full institutional-grade Credit Application Memoranda (20–30+ pages) from uploaded financial documents and user-provided deal parameters. Output follows the 8-section structure used by major international banks, with all financial ratios calculated and flagged where data is insufficient.


Step 1 — Intake & Clarification

When triggered, immediately check what the user has provided. Do NOT ask multiple questions at once. Follow this sequence:

1a. Check for uploaded files

If annual reports / financial statements are attached → proceed to Step 2. If nothing is attached, ask:

"Please upload the company's annual reports (last 2–3 years, PDF or Word). If you don't have them, paste the key financials and I'll work with those."

1b. Collect deal parameters (ask once, in a single message)

Once files are confirmed, ask the user to confirm or provide:

1. Borrower legal name
2. Facility type & amount (e.g. GBP 50m term loan / USD 120m revolving credit)
3. Tenor (e.g. 3 years, 5 years)
4. Purpose of loan (working capital / capex / refinancing / acquisition)
5. Security / guarantee structure (if known)
6. Repayment profile (bullet / amortising / quarterly)
7. Pricing (if known — e.g. SONIA + 250bps)
8. Lending bank / branch name
9. Any internal policy or industry classification to reference?
   (If unsure, leave blank — I will note it as [TO BE CONFIRMED])

Tell the user:

"Items marked [TO BE CONFIRMED] will be flagged in the report for your team to complete — including RAROC, internal limits, and any policy-specific thresholds."


Step 2 — Document Extraction

Read all uploaded files carefully. Extract and organise:

From financial statements (P&L, Balance Sheet, Cash Flow):

  • 3 years of annual data + latest interim period if available
  • All line items needed for ratio calculation (see references/financial-ratios.md)
  • Auditor name and opinion type (unqualified / qualified / emphasis of matter)
  • Reporting currency and any FX translation notes

From the annual report narrative:

  • Business description, segment breakdown, revenue mix
  • Key customers and suppliers (concentration risk)
  • Management team and ownership structure
  • Geographic footprint
  • Material litigation, contingent liabilities, off-balance-sheet items
  • ESG disclosures if present

Flag clearly any data that is:

  • Missing → label [DATA NOT AVAILABLE — please provide]
  • Restated vs prior year → note the restatement
  • Unaudited → label [UNAUDITED]

Step 3 — Research (Web Search)

Use web search to supplement document data for:

  • Industry overview: market size, growth rate, cycle positioning
  • Regulatory / policy environment relevant to the borrower's sector
  • Competitive landscape: 2–3 named peers with approximate market share
  • Recent news on the company (last 12 months): M&A, rating actions, management changes
  • Macroeconomic context relevant to the jurisdiction and sector

Do NOT fabricate specific figures. If web search returns insufficient data, note:

"[Industry data limited — recommend analyst review / Bloomberg supplement]"


Step 4 — Calculate Financial Ratios

Read references/financial-ratios.md for all formulas and flag logic.

Calculate every ratio for each available year. Apply the following flag rules:

  • ✅ Calculated successfully → show figure
  • ⚠️ Calculated but at borderline threshold → show figure + note
  • 🔲 Data insufficient → show [N/A — data required]
  • 📋 Requires internal input → show [TO BE CONFIRMED — internal policy]

RAROC and internal capital allocation are always [TO BE CONFIRMED]. DSCR denominator must match the proposed repayment schedule — confirm with user if unclear.


Step 5 — Draft the Credit Memo

Read references/credit-memo-structure.md for the full 8-section structure and content requirements for each section.

Drafting principles:

  • Write in formal institutional English — consistent with major UK/international bank standards
  • Tone: analytical, direct, no marketing language
  • Every material statement should be traceable to either the uploaded documents or web search
  • Clearly distinguish facts from analytical judgements
  • Use tables for all financial data — never prose for numbers
  • Section headers must match the structure in references/credit-memo-structure.md exactly
  • Flag all [TO BE CONFIRMED] items inline — do not omit them or leave blank
  • Do not invent internal policy figures (hurdle rates, limits, RWA) — always flag these

Risk section (Section 6):

Read references/risk-framework.md before drafting. Assign a risk rating (Low / Medium / High) for each risk category with a one-line rationale. This section reflects the analytical approach expected of a senior risk function, consistent with PRA supervisory expectations for credit risk governance.

Disclaimer:

Append the standard disclaimer from assets/disclaimer.md at the end of every report.


Step 6 — Output as Word Document (.docx)

Generate the final report as a formatted .docx file using the docx skill conventions:

  • Font: Arial throughout
  • Colour scheme: dark navy headers (#1F4E79), mid-blue subheadings (#2E75B6)
  • All financial tables: dark navy header row, alternating white/light-blue rows
  • Info tables (deal terms, company details): two-column label/value format
  • Risk rating boxes: colour-coded text (green=Low, amber=Medium, red=High)
  • Page header: "Credit Application Memorandum | Confidential — Internal Use Only"
  • Page footer: document date + page number
  • Cover page: borrower name, facility type, amount, date, classification label

Present the .docx file to the user when complete. Also offer a brief verbal summary of the key credit highlights and top 3 risks.


Quality Checklist (run before presenting output)

Before finalising, verify:

  • All 3 years of financials extracted and populated in tables
  • Every ratio in references/financial-ratios.md either calculated or flagged
  • No internal policy figures invented (RAROC, RWA, limits)
  • Risk section has a rating for each of the 7 categories
  • All [TO BE CONFIRMED] items visible and not hidden
  • Disclaimer appended
  • Document is .docx format, not markdown

Handling Edge Cases

Listed company: Extract financials from uploaded annual report. Use web search for stock performance context and peer comparison. Note exchange and ticker.

Unlisted / private company: Flag absence of public ratings. Rely on audited accounts. Note that valuation of pledged equity (if any) requires independent appraisal.

Holding company borrower / SPV: Distinguish between holdco and opco financials. Analyse guarantor separately. Note structural subordination risk.

Insufficient financials (only 1 year available): Complete what is possible. Note that trend analysis is limited and recommend additional data before credit approval.

Chinese-language source documents: Extract data from tables regardless of language. For narrative sections, translate key disclosures as needed. Note source language.

M&A / acquisition finance: Produce pro-forma combined financials. Separate target and acquirer analysis. Reference references/credit-memo-structure.md Section 1 addendum for transaction analysis structure.

最適合用於

何時使用

Generates institutional-grade corporate credit application memoranda (20–30+ pages) from uploaded annual reports, financial statements, or user-provided financial data.

01 · 會前準備

準備決策簡報

在投資委員會開會前,把零散證據整理成結構化的論據。

02 · 團隊協作

統一交接標準

讓分析師、投資組合經理與 Agent 產出一致的研究結果。

03 · 即時更新

更新投資邏輯

出現新催化劑、KPI 發布或財報結果後,更新情境假設。

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