Turns any LLM into an MBB-grade management consultant with 138 reference modules.
Equip Claude, Codex, or Gemini with MECE issue trees and the Pyramid Principle.
This open-source skill package installs 138 reference modules into your AI assistant, giving it the cognitive architecture of a McKinsey, BCG, or Bain consultant. It is designed for MBA students, case interview candidates, and business professionals who need structured, hypothesis-driven problem-solving.
It loads 5 knowledge pillars—covering problem-solving, communication, case coaching, industry intelligence, and specialist methods—directly into your chosen AI agent. The system enforces an MBB operating model of framing, structuring, analyzing, synthesizing, and delivering board-ready answers.
It suits professionals preparing for case interviews, writing board decks, or tackling complex corporate strategy problems. It does not suit casual users looking for generic conversational AI or simple prompt shortcuts without structured reasoning frameworks.
Distilled consulting frameworks across five core knowledge pillars.
Decomposes complex business problems into mutually exclusive and collectively exhaustive branches.
Structures every response by leading with the governing thought and backing it with evidence.
Works natively with Claude Code, Codex, Gemini, GitHub Copilot, Cursor, and Ollama.
Completely free and open-source under its stated license, with no paid hosted option provided by the maintainer. The only cost is running your chosen AI assistant.
876 open remote AI-training roles, updated November 15, 2026; most pay $20–$170 an hour. Zekai lists them free; the application goes to the employer’s platform.
It works with Claude, OpenAI Codex, Google Gemini, GitHub Copilot, Cursor, Ollama, and any other LLM where you can load system instructions or attach context.
No, all 138 reference modules are derived purely from publicly available consulting knowledge and frameworks.
See Zekai first in Google