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feat: add case-interview practice suite — interview-classic case bank, case-cracking drills (math/exhibit/structuring), fit-PEI drill bank, and facilitation & scoring
Distilled from publicly available MBA casebook drill/case sections into original, de-identified, house-voice reference files. Wired into SKILL.md routing (both the Casebook Drills and Career sections) and README count updated 118 -> 129. No institutional/author identifiers retained; company + sector + firm-style flavor kept.
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README.md

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## What Is This?
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The **MBB Management Consultant AI Skill** is a structured knowledge system that installs into Claude, giving it the cognitive architecture of a senior strategy consultant. It is not a simple prompt — it is 118 reference modules, organized around 5 knowledge pillars, covering every dimension of consulting work from MECE issue trees and Pyramid Principle communication to M&A due diligence, GenAI enterprise strategy, and case interview coaching.
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The **MBB Management Consultant AI Skill** is a structured knowledge system that installs into Claude, giving it the cognitive architecture of a senior strategy consultant. It is not a simple prompt — it is 129 reference modules, organized around 5 knowledge pillars, covering every dimension of consulting work from MECE issue trees and Pyramid Principle communication to M&A due diligence, GenAI enterprise strategy, and case interview coaching.
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Unlike generic AI prompts, this skill:
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- Applies **hypothesis-driven thinking** — forms a point of view before gathering data
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- Structures every problem **MECE** (Mutually Exclusive, Collectively Exhaustive)
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- Leads every output with the **governing thought** (Pyramid Principle)
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- Draws from **10+ industry reference files** and 118 deep-knowledge modules
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- Draws from **10+ industry reference files** and 129 deep-knowledge modules
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- Follows the **MBB operating model** — Frame → Structure → Analyse → Synthesise → Deliver
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**Compatible with:** Claude Free, Claude Pro, and Claude for Teams.
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D --> E["4. Synthesise"]
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E --> F["5. Deliver"]
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B -.->|reads| G[("118 Reference Files")]
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B -.->|reads| G[("129 Reference Files")]
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C -.-> G
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D -.-> G
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E -.-> G
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F -.->|"Board-ready output"| H["✅ Client Value"]
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```
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> **Frame → Structure → Analyse → Synthesise → Deliver.** Every problem flows through the same consulting operating system, drawing from 5 knowledge pillars and 118 reference modules.
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> **Frame → Structure → Analyse → Synthesise → Deliver.** Every problem flows through the same consulting operating system, drawing from 5 knowledge pillars and 129 reference modules.
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---
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## Knowledge Architecture
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The 118 reference files are organized across five knowledge pillars:
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The 129 reference files are organized across five knowledge pillars:
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```mermaid
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mindmap
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root((118 Reference Modules))
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root((129 Reference Modules))
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Problem-Solving
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MECE Issue Trees
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Hypothesis Trees
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This repository contains a consulting knowledge base for [Claude](https://claude.ai), Anthropic's AI assistant. When installed, it gives Claude a structured senior-consultant workflow, built around MBB-style problem-solving and communication patterns built by distilling publicly available MBB frameworks, case prep resources, and consulting methodology into a single knowledge base.
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This is not a simple prompt. It is a structured knowledge system with 118 reference files covering every dimension of consulting work, from MECE issue trees and Pyramid Principle communication to due diligence, post-merger integration, GenAI enterprise strategy, and case interview coaching.
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This is not a simple prompt. It is a structured knowledge system with 129 reference files covering every dimension of consulting work, from MECE issue trees and Pyramid Principle communication to due diligence, post-merger integration, GenAI enterprise strategy, and case interview coaching.
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**It is completely free.**
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└── skill/
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├── SKILL.md <- The main skill definition (install this)
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└── references/ <- 118 deep-knowledge reference files
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└── references/ <- 129 deep-knowledge reference files
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├── frameworks.md
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├── case-interview.md
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├── guesstimation.md
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No. This is an independent, open-source project. "McKinsey-style" and "MBB" are used descriptively — referring to a publicly understood standard of consulting practice. There is no affiliation with or endorsement from any firm.
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**Q: What makes this different from just prompting Claude to "think like a consultant"?**
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A prompt gives Claude a behavioral instruction. This skill gives Claude a 118-file knowledge system — including specific frameworks, case interview formats, industry metrics, and analytical tools — that it actively references during problem-solving. The depth and consistency of output is qualitatively different.
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A prompt gives Claude a behavioral instruction. This skill gives Claude a 129-file knowledge system — including specific frameworks, case interview formats, industry metrics, and analytical tools — that it actively references during problem-solving. The depth and consistency of output is qualitatively different.
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**Q: Can I use this for real client work?**
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Yes. The skill is designed for real problem-solving, not just practice. Many frameworks (issue trees, profitability analysis, market sizing, org design) apply directly to live business problems. That said, always exercise professional judgment — Claude's output is a thinking tool, not professional advice.

skill/SKILL.md

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|-----------|------|
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| Running or coaching a practice case; want a worked, quantified case with issue tree + math + coaching notes | `references/practice-cases-quantified.md` |
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| Guesstimate/market-sizing with explicit step-by-step math; framework issue trees (profitability, market entry, growth, pricing, M&A, PE) | `references/guesstimates-and-frameworks-quantified.md` |
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| Interview-flavoured case bank — a curated practice menu (case universe by type) plus 14 fully worked interview classics (market entry, profitability, M&A, growth, pricing, ops, non-traditional) with vivid names + firm-style tags | `references/case-bank-interview-classics.md` |
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| Drilling the three case reflexes — fast case math (rounding, distributive, Rule of 72, margin bridges), exhibit/chart reading (6-step protocol + chart-type cheat sheet), and structuring drills with 90-second framework scaffolds | `references/case-cracking-drills.md` |
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| Running or coaching a mock — interviewer formats, end-to-end facilitation, the 5-dimension 1–4 scoring rubric, common-mistakes catalogue, deliberate-practice loop, and a case-log template | `references/case-facilitation-and-scoring.md` |
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| Fit/PEI practice — the full behavioral question universe, model story skeletons, worked “why consulting/why firm” answers, and a 1–4 self-scoring rubric (companion to behavioral-fit-interview.md) | `references/fit-pei-drill-bank.md` |
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| Product teardown, PM frameworks (JTBD, CIRCLES, RICE, HEART, AARRR), or PM/analyst interview round patterns | `references/product-management-toolkit.md` |
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| SQL for product/analyst questions — joins, GROUP BY/HAVING, PM-lens queries | `references/sql-for-pm-analysts.md` |
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| PM interview flows — CIRCLES/HEART/RICE as diagrams, product teardowns (India digital products), design/root-cause/improvement patterns | `references/india-pm-cases.md` |
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| Context adaptation — PE, corporate, startup, government | `references/context-adaptation.md` |
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| Case interview practice, coaching, firm-specific prep | `references/case-interview.md` |
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| Running/scoring a mock case — interviewer formats, 5-dimension 1–4 rubric, common mistakes, practice loop, case log | `references/case-facilitation-and-scoring.md` |
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| Interview-classic case bank — practice menu by type + 14 worked exemplars | `references/case-bank-interview-classics.md` |
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| Case reflex drills — case math, exhibit reading, structuring drills + 90-second scaffolds | `references/case-cracking-drills.md` |
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| Fit/behavioral interview — STAR/COIN/PARADE/CARL, story bank, "why consulting/firm", failure & conflict prompts, group discussions | `references/behavioral-fit-interview.md` |
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| Fit/PEI drill bank — full question universe, model story skeletons, self-scoring rubric | `references/fit-pei-drill-bank.md` |
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| Canonical case archetypes, solution logic, aha insights, failure modes | `references/case-pattern-library.md` |
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| Consulting career, promotion, reputation, alumni exits | `references/consulting-career.md` |
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| After-action reviews, personal case log, learning from engagements | `references/learning-flywheel.md` |

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