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From advisory-essentials
Generates a tailored financial due diligence (FDD) information request list and tracker by deal type, industry, and size, covering financials, quality of earnings, working capital, net debt and debt-like items, tax, commercial, and HR data, sequenced by priority for the deal team to issue to a target. Use this for buy-side or sell-side M&A advisory, vendor due diligence, FP&A deal support, or any QofE/IDR scoping exercise in Excel or Markdown.
npx claudepluginhub kimonarrow/ledgerskills --plugin advisory-essentialsHow this skill is triggered — by the user, by Claude, or both
Slash command
/advisory-essentials:due-diligence-request-listThe summary Claude sees in its skill listing — used to decide when to auto-load this skill
This skill builds a structured, prioritized financial due diligence information request list (IRL / DDQ) that a deal team can issue directly to a target or vendor. It tailors the request to the deal type (buy-side, sell-side/vendor, refinancing), the target's industry, and its size, then organizes items into a tracker with owners, status, and priority so nothing falls through the cracks during ...
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This skill builds a structured, prioritized financial due diligence information request list (IRL / DDQ) that a deal team can issue directly to a target or vendor. It tailors the request to the deal type (buy-side, sell-side/vendor, refinancing), the target's industry, and its size, then organizes items into a tracker with owners, status, and priority so nothing falls through the cracks during a time-boxed diligence period. It is for corporate finance and transaction advisory professionals, FP&A teams supporting deals, and anyone scoping a quality-of-earnings (QofE) or financial due diligence engagement.
Provide as much of the following as you have; the skill fills sensible defaults and flags assumptions:
A bundled sample, samples/deal_parameters.csv, illustrates the minimal parameter set for a fictional buy-side deal (Aurora Components Ltd). Reference it when no parameters are supplied.
Follow this methodology. Cite the relevant standard or convention so the request is defensible and the recipient understands intent.
Confirm scope and materiality. Set a working materiality (commonly 0.5%-1% of revenue or ~5% of EBITDA) so granular requests (e.g., GL line detail) are scaled to the deal. Smaller deals get a leaner list; complex multi-entity targets get entity-level cuts.
Request a consistent reporting baseline. Ask for audited statutory financials for the last 3 full years plus the latest interim (LTM), management accounts monthly for 36 months, and the trial balance and detailed GL for the same periods. Note the applicable framework (IFRS, IFRS for SMEs, or local/US GAAP) so adjustments are interpreted correctly. For groups, request the consolidation file and intercompany eliminations.
Build the Quality of Earnings (QofE) pull. The objective is a normalized, run-rate EBITDA. Request the items needed to test and quantify adjustments:
Scope the Working Capital (NWC) analysis. This drives the completion mechanism (locked box vs. completion accounts). Request:
Define Net Debt and debt-like items. Equity value = enterprise value - net debt +/- working capital adjustment. Request the data to build a complete net-debt bridge:
Scope Tax. Request returns and assessments (corporate income tax, VAT/GST, payroll/employment taxes) for open years, transfer pricing documentation and intercompany agreements (OECD Transfer Pricing Guidelines), tax losses and their utilization restrictions, any rulings/audits/disputes, and the VAT treatment of material transaction streams (EU VAT Directive 2006/112/EC where relevant). Frame all tax items as data requests, not conclusions.
Scope Commercial and HR. Commercial: customer/supplier contracts (term, change-of-control, exclusivity), pipeline, pricing, and KPI dashboards. HR/payroll: headcount by function, payroll reconciliation to the GL, bonus/commission schemes, key-person dependencies, and any defined-benefit pension exposure. Sensitive personal data should be requested in aggregate/anonymized form.
Sequence by priority. Tag every item P1/P2/P3:
Assemble the tracker. Convert the list into a living tracker with owner, due date, status, and a notes/follow-up column so the deal team can manage cadence (typically weekly status calls).
Produce a due diligence request tracker as a Markdown table (and, if asked, describe an equivalent .xlsx with one tab per workstream). Group rows by workstream and include these columns:
Ref (e.g., FIN-01, QOE-03, NWC-02, ND-04, TAX-01, COM-02, HR-01)Workstream (Financials, QofE, Working Capital, Net Debt, Tax, Commercial, HR)Item requested (specific and self-explanatory)Format / period (e.g., "Excel, monthly, FY23-LTM")Priority (P1/P2/P3)Rationale (one line: why it matters to value or risk)Owner (deal-team responsible)Status (Requested / Received / In review / Closed / N/A)Notes / follow-upLead with a short scope header (deal type, periods, framework, materiality assumption) and end with an open-items count by priority.
Using samples/deal_parameters.csv (buy-side, Aurora Components Ltd, EUR 48m revenue, EUR 6.2m EBITDA, 2 entities, manufacturing, Dec year-end, 6-week diligence):
The output is the tracker above, sorted P1 to P3, ready to issue to the target with owners and a weekly status cadence.
Disclaimer: This skill is a drafting and analysis aid, not professional advice. It does not provide accounting, audit, tax, investment, or legal advice. All output must be reviewed and approved by a qualified professional before use or reliance.
Tax-related items in any generated request list are data requests and preliminary analysis only - verify any tax treatment or position with a qualified tax advisor; never treat skill output as a definitive tax position.
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