Productivity

Provides a systematic audit checklist for Excel model formula logic, hardcoded values, circular references, and error handling, with step-by-step instructions for using Excel's native auditing tools.

Turns pasted or exported data with mixed formats, blank rows, or duplicates into a clean, consistently formatted range ready for analysis. Use it right after pasting raw data into a worksheet.

Designs the executive summary tab of an Excel model with KPI tiles, a narrative block, a sensitivity summary, and an assumption log, formatted for print or screenshot use in a board pack.

Ranks variable sensitivities to a key output and builds a tornado chart by swinging each input over a defined range, computing output impact, and producing a horizontal bar chart data structure.

Make, adapt, and revise videos with Hypit from references or briefs, including SVML/SVS/SVRun authoring, project components, and Runtime or credential setup.

Enforces the three-tab separation principle for any Excel model, producing a full design for a dedicated Inputs tab, one or more Calculations tabs, and a clean Outputs tab with a conventions checklist.

Defines the master tab structure, naming conventions, color codes, number formats, and print area setup for any new strategy or finance Excel model, serving as the structural template before any content is added.

Builds a unit-economics and cohort .xlsx with live formulas across separate assumptions, cohort, and output tabs plus checks, computing CAC, LTV, LTV/CAC, and CAC payback from a monthly cohort retention grid. Use when someone needs unit economics, an LTV/CAC analysis, a payback model, or a cohort retention build. Do not trigger for editing an existing workbook through the Claude for Excel add-in.

Builds a Base/Bull/Bear scenario switching layer for a model in a .xlsx with a live selector, CHOOSE or INDEX assumption links, a side-by-side output comparison, and a recalc check, then delivers the workbook. Use when someone wants an auditable scenario toggle instead of Excel's hidden Scenario Manager. Do not trigger for editing an existing workbook through the Claude for Excel add-in.

Specifies and builds a pivot table from a flat data range, choosing rows, columns, values, and filters. Use it when you have raw tabular data and need a summary view without building it cell by cell.

Builds a driver-based revenue forecast .xlsx with live formulas across separate drivers, build, and output tabs plus checks, rolling a customer or units schedule (beginning, adds, churn, ending) into revenue with Base/Bull/Bear scenario toggles. Use when someone needs a bottom-up revenue model, an ARR build, or a driver-based forecast for planning or a board deck. Do not trigger for editing an existing workbook through the Claude for Excel add-in.

Plans, runs and reviews sales discovery calls (questions, structure, qualifying, uncovering pain) using rules weighted by how many of the 20 most-watched videos repeat each one, and flags where experts disagree so you can A/B test instead of guessing. Use when the user says "prep my discovery call", "what should I ask on a sales call", "qualify this prospect", "review my discovery call", "structure a first sales call" or "how do I uncover pain".

Builds B2B lead magnets and inbound lead generation plans using rules weighted by how many of the 20 most-watched videos on the topic repeat each one, and flags where the experts disagree so you A/B test instead of guessing. Use when the user says "create a lead magnet", "B2B lead magnet ideas", "get more inbound leads", "build a quiz funnel", "lead magnet follow-up emails", or "where should my leads come from".

Builds B2B positioning and messaging (value proposition, differentiation, how to describe what you sell) from rules weighted by how many of the 20 most-watched videos on the topic repeat each one, and flags where experts disagree so you A/B test instead of guessing. Use when the user says "position my product", "write our value proposition", "how do we stand out from competitors", "fix our messaging", "describe what we sell", or "B2B positioning".

Writes sales follow-ups and closing next steps using the rules repeated most often across the 20 most-watched videos on the topic, weighting each rule by how many of those videos say it, and flags any expert disagreements to A/B test. Use when the user says "write my follow-up", "the prospect went quiet", "how do I close this deal", "what do I send after the sales call", "help me book the next meeting", or "they said they need to think about it".

Builds cold call openers, scripts, first-30-second handling, and meeting-booking asks from rules weighted by how many of the 20 most-watched cold calling videos repeat each one, and flags the choices where experts disagree so you A/B test them instead of guessing. Use when the user says "write my cold call script", "help me with my cold call opener", "how do I handle the first 30 seconds", "book more meetings by phone", "cold calling objections", or "fix my cold calls".

Helps you answer sales objections (price, timing, "send me info", competitors, stalls) using rules weighted by how many of the 20 most-watched videos on the topic repeat each one, and flags where the experts disagree so you can A/B test instead of guessing. Use when the user says "handle this objection", "they said it's too expensive", "they want to think about it", "they asked me to send info", "they're going with a cheaper competitor", "the prospect is stalling", or "how do I respond to this pushback".

Helps price a B2B product or service (strategy, packaging, raising prices, value-based pricing) using rules weighted by how many of the 20 most-watched videos repeat each one, and flags where the experts disagree so you A/B test instead of guessing. Use when the user says "help me price this", "should I raise my prices", "value-based pricing", "how should I package my tiers", "stop charging hourly", "hybrid or usage pricing", or "review my pricing page".

Write and review cold emails using what the 20 most-watched cold email videos of 2026 actually agree on, weighted by how many of them repeat each rule, and flag the choices they disagree on so you A/B test those instead of trusting one guru. Trigger on "write a cold email", "review my cold email", "cold email sequence", or /cold-email.

Writes and plans LinkedIn outreach (connection requests, DMs and prospecting) using rules weighted by how many of the 20 most-watched videos on the topic repeat each one, and flags where the experts disagree so you can A/B test instead of guessing. Use when the user says "write a LinkedIn DM", "LinkedIn connection request", "LinkedIn prospecting", "cold outreach on LinkedIn", "build a LinkedIn lead list" or "review my LinkedIn message".

Plans, writes, and reviews LinkedIn posts, hooks, profiles, and engagement routines to grow an audience and turn followers into clients, weighting each rule by how many of the 20 most-watched videos on the topic repeat it and flagging where experts disagree so the user can A/B test instead of guessing. Use when the user says "write a LinkedIn post", "grow on LinkedIn", "fix my LinkedIn hook", "LinkedIn content plan", "optimize my LinkedIn profile", "get clients from LinkedIn", or "why is my LinkedIn post not getting reach".

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Read-only review of Caveman Cloud evidence: cost, Cave Score, workflows, traces, latency, errors, routing, savings. Use when asked what Caveman found or where LLM spend goes.

Act on a Caveman learn report - review the ranked token sinks, apply cost-lowering fixes with per-edit consent, and report what those fixes returned. Use when asked to lower an agent's token cost, what caveman has saved, to trim a heavy CLAUDE.md, or to offload re-pasted context into cavemem.