claude

models-and-pitches

9 financial-modeling + presentation skills: DCF, comps, 3-statement, LBO, SOTP-valuation, audit-xls, xlsx-financials, earnings-preview, and pitch-deck. All Excel-producing skills follow the FR-044 4-step office protocol (spec → build → recalc → audit).

210 on GitHubby agentii-aiv3.3.0Apache-2.0updated 4 days ago
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Plugin models-and-pitches from marketplace agentii-investment-intelligence in agentii-ai/agentii-investment-intelligence. Commands read from the repo's manifest — 3 days ago.

What it installs

Skills (9)

  • 3-statement

    3-statement financial model, integrated IS BS CF, income statement projection, balance sheet forecast, cash flow statement, cross-statement balancing, financial model build, operating model, three statement model, integrated financial statements

  • audit-xls

    Audit spreadsheet, formula error detection, hardcoded cell finder, cross-sheet reference audit, workbook auditor, Excel model audit, financial model QA, spreadsheet review, cell dependency trace, formula integrity check

  • comps

    Comparable company analysis, trading comps, peer multiples, EV/EBITDA comparison, P/E benchmarking, comps table, relative valuation, industry multiples, precedent transactions, trading comparable analysis

  • dcf

    DCF valuation model, discounted cash flow, intrinsic value, WACC calculation, terminal value, free cash flow projection, equity value per share, DCF sensitivity analysis, unlevered free cash flow, present value calculation, build a DCF

  • earnings-preview

    Earnings preview deck, quarterly earnings presentation, earnings summary slides, consensus vs actual presentation, earnings preview report, pre-earnings analysis, earnings expectations deck, quarterly preview, upcoming earnings summary, earnings announcement preview

  • lbo

    LBO model, leveraged buyout, private equity acquisition, sources and uses, debt schedule, returns waterfall, sponsor IRR, MOIC calculation, PE exit analysis, LBO valuation

  • pitch-deck

    Investment pitch deck, investment committee presentation, buy-side pitch, sell-side pitch, investment thesis slides, executive summary presentation, financial presentation, board deck, investor presentation, strategy deck

  • sotp-valuation

    Sum of the Parts valuation, segment-based valuation, conglomerate valuation, business segment analysis, breakup value, segment sum valuation, parts worth more than whole, hidden asset value

  • xlsx-financials

    Produce formatted .xlsx financial statement workbooks from XBRL statement data. Uses Bash + openpyxl (Python) following Anthropic FSI xlsx-author conventions for professional Excel output with calculation arc cross-validation.

Slash commands (9)

  • /models-and-pitches:3-statement

    3-statement integrated financial model — IS/BS/CFS triangulation, 5 historical + 5 forecast years

  • /models-and-pitches:audit-xls

    Audit an Excel workbook — formula errors, hardcoded cells, calculation arc cross-validation

  • /models-and-pitches:comps

    Trading comps analysis — peer-group selection, trading-multiple triangulation, implied-valuation range

  • /models-and-pitches:dcf

    DCF valuation model — 5-10 year projection, WACC construction, sensitivity tables

  • /models-and-pitches:earnings-preview

    Earnings preview presentation — 4-6 slide deck with consensus estimates, historical surprises, forward catalysts

  • /models-and-pitches:lbo

    LBO model — sources & uses, debt schedule, exit-multiple analysis, sponsor IRR sensitivity

  • /models-and-pitches:pitch-deck

    Investment thesis pitch deck — 12-16 slide presentation with sourced footers

  • /models-and-pitches:sotp-valuation

    Sum-of-the-parts valuation — segment-level multiples, conglomerate discount analysis

  • /models-and-pitches:xlsx-financials

    XBRL-to-Excel — proper number formatting, frozen headers, named ranges, calculation arc cross-validation

MCP servers (2)

  • agentii

    connects to: https://mcp.agentii.ai/mcp

  • agentii-office

    connects to: https://mcp.agentii.ai/office/mcp

View source on GitHub agentii.ai

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