Bring MBB-Grade Strategy Thinking to Your AI Agents

Where this fits

You're building an agent that helps a founder prepare for a board meeting. The user uploads a dashboard export and asks: "What should I present?" Without structure, your agent might list metrics and call it a day. With the consultant skill, your agent decomposes the problem, applies a verdict-first framing, and produces a decision memo outline that a McKinsey team would sign off on. This skill bridges the gap between raw analysis and actionable, executive-ready thinking.

Why agents benefit

• Hypothesis-driven decomposition: The skill forces agents to break a vague problem into testable sub-questions before diving into data, reducing hallucinated conclusions.
• Framework fluency: Agents can apply market sizing, Porter's Five Forces, SWOT, and financial modeling with the same structural rigor as a strategy consultant—not just name-drop the frameworks.
• Firm-specific methodology: Choose between McKinsey verdict-first, BCG framework-first, or Bain decision-first approaches, so the output matches your preferred communication style.
• Deliverable content generation: Produces executive summaries, strategy deck outlines, and decision memos in markdown—ready for handoff to a slide or document skill.
• Audience adaptation: Packages analysis for investors, board members, or conference talks, adjusting tone and depth without losing the core argument.

Practical scenarios

1. Investor pitch preparation

A startup founder asks the agent: "Why is our TAM bigger than competitors claim?" The skill structures a market sizing analysis, compares assumptions, and produces a one-page executive summary with a clear verdict—ready to drop into a pitch deck.

2. Competitive strategy review

A product manager wants to know if entering a new segment makes sense. The agent runs a Porter's Five Forces analysis, overlays a SWOT, and outputs a decision memo with a recommendation and risk mitigations—no more bullet-point chaos.

3. Board meeting narrative

A CEO needs a concise update for the board. The agent takes quarterly metrics, applies a verdict-first structure, and generates a narrative outline that highlights the "so what" before the data—exactly what board members expect.

Add it to your agent workflow

Install the skill directly into your agent environment:

npx skills add appautomaton/presentation --skill consultant

Then invoke it in a prompt like:

Use the consultant skill to structure this problem: "Should we expand into Europe?"
Apply a Bain decision-first approach and produce a decision memo outline.

The skill returns markdown content you can feed into a slide or document generator.

Compare before adopting

Before committing, compare this skill against alternatives that offer similar strategy templates. Check for: quality signals (star count, README depth, example outputs), maintenance freshness (recent commits, issue responses), and workflow fit (does it hand off cleanly to your existing presentation or doc skills?). Also consider whether you need the firm-specific methodology or just a generic framing—this skill's value is in the nuance.

Why it is worth tracking

With 54 stars and an active author, this skill is early but promising. Its focus on producing content rather than visuals makes it a clean building block for agent pipelines. Track it if you regularly handle business strategy requests; evaluate it when you need to move beyond generic analysis into structured, executive-ready deliverables. For more details, see the skill page.