HomeSkillsSkills for StrategyAndrew PershJune 22, 202611 min read

21 Excel-Inspired Claude Skills for Strategy Professionals

21 standalone Claude skills that bring Excel-grade analytical rigour to strategy work. 21 skills across seven domains -- problem framing, data architecture, financial modelling, strategic analysis, scenario and risk, executive reporting, and modelling governance.

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21 Excel-inspired Claude skills for strategy professionals

Independent and unaffiliated. The skills and frameworks referenced on this page are not created by, endorsed by, or affiliated with McKinsey. They are built on publicly available frameworks and ways of working McKinsey is known for, and are inspired by how those approaches are used to tackle complex business problems.

What this is

21 Claude skills that bring Excel-grade analytical rigour to strategy work. Each skill teaches Claude one high-value analytical or modelling workflow grounded in the methods used at top-tier consulting and finance firms: MECE issue trees, hypothesis-driven problem solving, DCF and sensitivity models, scenario analysis, and board-ready reporting.

They are organised into seven practical domains, from structuring the problem through to producing the executive output. Each domain is a self-contained set of three skills, and each skill is a standalone SKILL.md file you can load into a Claude Project.

The approach is deliberately Excel-inspired rather than slide-first: structure the analysis, build the model, pressure-test the assumptions, then let Oria turn the output into the deck. For a companion set focused on the strategy frameworks themselves, see 21 McKinsey-style strategy skills for Claude. For a walkthrough of working this way end-to-end, see our consultant's guide to Claude.

Download all 21 skills

One zip, one folder per skill. Free, no signup.

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The 21 Excel-inspired skills you get

The collection is grouped into seven analytical domains. They run in the order a real engagement does, frame the problem first, govern the model last, but every skill is also useful on its own.

1

Domain 1 · 3 skills

Problem Framing

Use these before any analysis begins. A MECE issue tree, a hypothesis-first brief, and a modular workplan are the three structural tools that determine whether the work answers the right question.

1.1

MECE Issue Tree Builder

Use when: A problem statement exists but lacks analytical structure

Output: Nested MECE issue tree plus flat Excel workplan with one row per sub-issue

1.2

Hypothesis-First Brief

Use when: Analysis needs structuring around a leading hypothesis before data work begins

Output: Pyramid Principle brief with governing thought, 3-5 MECE proof points, and minimum evidence set

1.3

Problem to Workplan

Use when: Framed issue tree needs converting into an Excel tracker for a multi-week engagement

Output: Full Excel workplan spec with tab inventory, Gantt logic, status formulas, and data validation lists

2

Domain 2 · 3 skills

Data Architecture

Use these before writing a single formula. The three structural disciplines -- model blueprint, lookup layer, and input-calc-output separation -- prevent the compounding errors that make models unauditable.

2.1

Excel Data Model Blueprint

Use when: Starting a new multi-tab model and need a clean structural foundation before any formulas

Output: Full tab inventory, color-coding standard, data-flow diagram, and conventions checklist

2.2

Lookup and Reference Layer

Use when: Model needs reference tables or lookup formulas that do not break when columns move

Output: Lookup tab design, named range registry, INDEX-MATCH and XLOOKUP templates, and robustness tests

2.3

Inputs-Calcs-Outputs Design

Use when: Model mixes assumptions with formulas and needs separation for auditability

Output: Three-tab design spec with Inputs layout, Calc row structure, Outputs grid, and compliance checklist

3

Domain 3 · 3 skills

Financial Modelling

Use these for the three most common analytical builds: a DCF, a sensitivity table, and a waterfall bridge. Each skill produces a formula-level spec you can build in Excel without guessing the structure.

3.1

DCF Structure Builder

Use when: A company or asset needs intrinsic valuation using discounted cash flow analysis

Output: FCF build table, DCF engine, equity bridge, WACC formula, and two-variable sensitivity table

3.2

Sensitivity Matrix Builder

Use when: Base case model is complete and needs to show robustness across a range of assumptions

Output: Data Table setup, input range definitions, conditional formatting rules, and base case highlight guide

3.3

Bridge and Waterfall Constructor

Use when: A financial change between two periods needs decomposing into its component drivers

Output: Balanced bridge items table, Excel stacked-bar data structure, and chart formatting instructions

4

Domain 4 · 3 skills

Strategic Analysis

Use these for the three canonical strategy models: market sizing, competitive benchmarking, and portfolio prioritization. Each produces a structured, auditable Excel output rather than a narrative.

4.1

TAM-SAM-SOM Sizing Model

Use when: A business needs a credible, auditable market size estimate for a strategy or investor presentation

Output: Dual-method model (top-down and bottom-up) with driver trees, triangulation summary, and SOM range

4.2

Competitive Benchmarking Grid

Use when: A strategy engagement requires a structured multi-dimensional comparison of 5-8 competitors

Output: Normalized scoring grid with heat-map formatting, weighted overall score, and radar chart specification

4.3

Portfolio Prioritization Matrix

Use when: Leadership needs to rank competing initiatives against a constrained resource budget

Output: Weighted scoring model, 2x2 scatter plot spec, tier assignments, and cumulative resource allocation check

5

Domain 5 · 3 skills

Scenario and Risk

Use these after the base case is built. A three-scenario toggle, a tornado chart, and a risk-adjusted expected value are the three tools that convert a point estimate into a defensible range.

5.1

Three-Scenario Model

Use when: A model needs to reflect a range of outcomes across Base, Bull, and Bear assumptions

Output: Scenario Inputs tab design, INDEX-MATCH selector formula, and scenario comparison table with deltas

5.2

Sensitivity Tornado

Use when: A completed model needs to reveal which assumptions drive the most output uncertainty

Output: Ranked tornado data table, horizontal bar chart structure, and top-3 critical assumption summary

5.3

Risk-Adjusted Value

Use when: A decision requires a single probability-weighted number from multiple scenario outcomes

Output: EV calculation, scenario contribution table, P_Bull vs P_Bear sensitivity, and break-even probability

6

Domain 6 · 3 skills

Executive Reporting

Use these to convert a completed model into a board-ready output. A print-ready summary tab, a recurring KPI dashboard, and an SCQA narrative brief are the three reporting tools a senior audience expects.

6.1

Output Summary Tab

Use when: A completed model needs a print-ready single-page executive summary for a board pack

Output: Zone layout, KPI tile designs, narrative block structure, sensitivity summary, and assumption log

6.2

KPI Dashboard Structurer

Use when: A leadership team needs a recurring monthly performance tracker in pure Excel, no macros

Output: 8-12 KPI column structure, RAG formulas, INDEX-MATCH period selector, and sparkline setup instructions

6.3

SCQA Narrative Wrapper

Use when: Model findings need translating into a structured brief for a senior audience

Output: One-page SCQA brief with Situation, Complication, Question, Answer, supporting points, and next steps

7

Domain 7 · 3 skills

Modelling OS

Use these to build the invisible infrastructure that makes every model consistent, auditable, and hand-off ready. Architecture, audit, and assumption registry are the three governance tools that separate professional models from analyst spreadsheets.

7.1

Model Architecture Template

Use when: Starting any new model and needing a consistent structural shell before content is added

Output: Full tab inventory, color-coding table, number format standards, Checks tab design, and startup checklist

7.2

Formula Audit Checker

Use when: An inherited or completed model must be reviewed for errors before sign-off or client presentation

Output: 12-step audit checklist with Excel navigation paths, hardcode detection steps, and audit log structure

7.3

Assumption Registry Builder

Use when: A model needs formal documentation of every material assumption for handover or investment approval

Output: Full register column structure, sensitivity rank formula, source quality guide, and sign-off process

Categories 1 to 3 frame the problem, design the data structure, and build the core model. Categories 4 to 6 run the analysis, test the scenarios, and produce the executive output. Category 7 governs the model infrastructure.

Setup Guide

Step 1

Download the skills pack

Download all 21 skills (.zip)

The zip contains all 21 skills, one folder per skill. Each skill is a single SKILL.md file. Unzip it anywhere. Keep the whole set, or pull out just the folders you need.

Step 2

Create a Claude Project

Go to claude.ai, open the left sidebar, click Projects, then Create Project. Name it something like "Strategy Analyst" or "Modelling Assistant" so you can reuse it across engagements.

Claude Projects view with the New project button highlighted
Step 3

Add the skills as Project Knowledge

Inside your project, open Project Knowledge, click Add Content, and upload the .md files. Add as many as you want, one skill, an entire domain, or all 21. Claude will reference them automatically in every conversation inside that project.

Finder window with the skill markdown files being dragged into the Claude project Files panel
Step 4

Start using the skills

Open a new conversation inside the project, paste in your data or problem statement, and name the skill you want Claude to run. Claude reads it from project knowledge and runs the analysis with the framework already loaded.

Tip

Refer to the skill by name in your prompt. Phrases like "Use the mece-issue-tree-builder skill" or "Run the dcf-structure-builder skill" point Claude at the right framework instead of leaving it to guess.

Claude conversation using a strategy skill, with the skill reference highlighted in the prompt

Example prompts

  • "Use the mece-issue-tree-builder skill to decompose this strategy problem."
  • "Use the dcf-structure-builder skill to build a DCF for this business."
  • "Use the three-scenario-model skill to stress-test our revenue assumptions."
  • "Use the scqa-narrative-wrapper skill to structure these findings for the board."

How to choose an Excel-inspired Claude skill

Skip the directory hunt. Each of these Excel-inspired Claude skills maps to a specific analytical need. Pick the row that matches what you need to do and use that skill. For a wider walkthrough of working this way, see our consultant's guide to Claude.

Your need
Skill to use
Decompose a problem into MECE branches
MECE Issue Tree Builder
Structure analysis around a hypothesis
Hypothesis-First Brief
Convert a framed problem into an Excel tracker
Problem to Workplan
Design a multi-tab model architecture
Excel Data Model Blueprint
Build lookup tables that do not break
Lookup and Reference Layer
Separate inputs from formulas
Inputs-Calcs-Outputs Design
Build a discounted cash flow model
DCF Structure Builder
Show model robustness across assumption ranges
Sensitivity Matrix Builder
Decompose a financial change into drivers
Bridge and Waterfall Constructor
Size a market top-down and bottom-up
TAM-SAM-SOM Sizing Model
Benchmark 5-8 competitors on key dimensions
Competitive Benchmarking Grid
Rank initiatives by impact and feasibility
Portfolio Prioritization Matrix
Model Base, Bull, and Bear scenarios
Three-Scenario Model
Identify which assumptions drive uncertainty most
Sensitivity Tornado
Compute a probability-weighted expected value
Risk-Adjusted Value
Design a print-ready board pack summary tab
Output Summary Tab
Build a monthly KPI dashboard without macros
KPI Dashboard Structurer
Wrap model findings in a structured narrative
SCQA Narrative Wrapper
Start any new model with consistent structure
Model Architecture Template
Audit an inherited model for errors and hardcodes
Formula Audit Checker
Document all material assumptions formally
Assumption Registry Builder

The quality bar

Every skill is designed to push Claude toward outputs that meet the same partner-grade quality bar, the standard a senior associate would hold each deliverable to before it leaves the room.

MECE throughout: no overlap, no gaps
Hypothesis-led, not data-led
Inputs separated from calculations
Every assumption explicit and auditable
Sensitivity on the key output
Three scenarios from the start
Executive-readable, not analyst-verbose
One formula per row, auditable
Tie-out checks built in
Decision-linked, not insight-listed
SCQA-structured for senior audiences
Board-ready before presenting