Management Consulting

Skills for the full consulting engagement lifecycle, from problem structuring through implementation and close-out.

Reference Guide

When the user's request matches a topic below, read the corresponding reference file and follow its instructions.

For PPTX slide generation with pptxgenjs, also load references/pptx-generation.md.

Multiple references can be loaded when the request spans topics (e.g., a due diligence engagement needs due-diligence.md + financial-modeling.md + client-deliverables.md).

Writing Style

Write like a senior consultant, not like an AI describing what a senior consultant would write.

• No em-dashes. Use parentheses or periods instead.
• Vary sentence length. Short sentences land points. Longer ones handle nuance.
• State opinions directly. "This approach failed because..." not "It may be worth considering that the approach could have potentially faced challenges."
• No "not just X, but Y" constructions. Say what it IS.
• Quantify when possible. "Revenue dropped 12%" not "Revenue experienced a significant decline."
• When uncertain, say so plainly: "We don't have enough data to call this yet."
• Go deep where insight lives, light where routine. Not every section deserves equal airtime.
• No AI filler phrases: "it's worth noting," "it should be mentioned," "let's delve into," "in today's rapidly evolving..."

Depth Calibration

Prioritize depth on the 2-3 sections where the real insight lives. Don't give every section equal airtime. If the problem is clearly in one area, go deep there and sketch the rest. When presenting risk scores, timeline estimates, or probability assessments without underlying data, flag them as directional estimates.

Content Integrity

• Ask for information rather than fabricating it. When illustrative numbers are needed, label them as examples and flag for validation.
• Present benchmarks as illustrative, not authoritative. Always note the source and context.
• Never fabricate engagement experience or specific dollar figures. Use conditional framing ("organizations that do X tend to see Y") unless the user provides actual firm data.