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Consulting Proposal Structures

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MichaelRochonnn
consulting-proposal-structures

Select and apply the optimal proposal narrative structure (McKinsey Conclusion-First vs. Boston Storytelling) based on audience psychology, time constraints, and objectives. Use when presenting strategic solutions, recommendations, or proposals to clients, executives, or stakeholders.

Overview

PublisherMichaelRochonnn
Repositorymckinsey-bcg-consulting
Skill nameconsulting-proposal-structures
Stars
77
Forks
16
Bundled files
2
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 2 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by MichaelRochonnn on GitHub. Read the source before you install it.

Installation

Install the Consulting Proposal Structures AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/MichaelRochonnn/mckinsey-bcg-consulting/tree/main/consulting-proposal-structures
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/MichaelRochonnn/mckinsey-bcg-consulting.git /tmp/mckinsey-bcg-consulting
mkdir -p .claude/skills
cp -r /tmp/mckinsey-bcg-consulting/consulting-proposal-structures .claude/skills/consulting-proposal-structures
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Consulting Proposal Structures in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Consulting Proposal Structures on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Consulting Proposal Structures is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Consulting Proposal Structures

When to Use

Use this skill when:

  • Presenting a solution or proposal to a client or stakeholder
  • Creating executive pitches or strategic presentations
  • Need to persuade an audience to accept recommendations
  • Facing time constraints or audience resistance
  • Audience is in crisis mode or on a mission-driven project

Prerequisites

  • Completed analysis of the problem
  • Defined conclusion/recommendation
  • Identified the "suffocation point" (key obstacle preventing solution)

Selection Framework

Step 1: Evaluate Your Context

Assess these factors before choosing a structure:

  • Audience psychology: Are they impatient, skeptical, resistant, or collaborative?
  • Time constraints: Do you have limited time (elevator pitch) or extended engagement?
  • Objective: Is this creating urgency, building consensus, or driving action?
  • Cultural context: Does the audience prefer direct or indirect communication?

Step 2: Choose Structure Type

McKinsey Style (Conclusion First) - Use when:

  • Audience is impatient or pressed for time
  • Direct answers are expected
  • Creating urgency is necessary
  • High stakes with need for clarity

Boston Style (Storytelling/Puzzle Solving) - Use when:

  • Audience is resistant to direct recommendations
  • Building ownership and consensus is critical
  • Long-term organizational change is the goal
  • Cultural preference for collaborative discovery

Execution: McKinsey Style

Structure

  1. What: Start with the conclusion (Governing Thought)
  2. Why: Provide supporting reasons
  3. How: Outline specific actions
  4. Why not yet: Address the Suffocation Point (obstacle)

Steps

  1. State your conclusion immediately and clearly
  2. Present the Governing Thought structure
  3. Explain why this conclusion is correct
  4. Detail how to implement the solution
  5. Critical: Address the Suffocation Point - why hasn't this been done yet?
  6. Present obstacles and how to overcome them
  7. Conclude with clear call to action

Effect

  • High risk, high return
  • Can shock the audience or provoke resistance
  • Best for creating urgency or when time is limited

Execution: Boston Style

Structure

  1. Questions: Pose probing questions about the situation
  2. Evidence: Present data and insights sequentially
  3. Discovery: Guide audience to their own conclusion
  4. Ownership: Frame solution as audience's insight

Steps

  1. Do NOT state the answer initially
  2. Ask questions that highlight the problem
  3. Present evidence piece by piece
  4. Allow audience to connect the dots
  5. Let the audience experience "epiphany" (I discovered it myself)
  6. Frame the conclusion as their insight
  7. Build on their ownership for implementation

Effect

  • Builds consensus and ownership
  • Lower resistance to implementation
  • Best for resistant audiences and organizational change

Decision Tree

Is the audience impatient or needs shock?
├─ YES → Use McKinsey Style
└─ NO → Is the audience resistant or needs ownership?
    ├─ YES → Use Boston Style
    └─ NO → Consider hybrid approach

Key Concepts

Suffocation Point

The critical obstacle preventing the solution from being realized yet. This is the core issue to solve in the McKinsey approach.

Audience Profile Categories

  • Impatient: Wants direct answers immediately
  • Resistant: Needs to feel ownership of the solution
  • Crisis mode: Requires urgent, clear direction
  • Collaborative: Prefers discovery and consensus-building

Constraints and Considerations

  • Cultural differences may affect which style is preferred
  • Real-time audience feedback may require switching approaches
  • Both styles require completed analysis and clear conclusions
  • The "suffocation point" must be identified for McKinsey style

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Consulting Proposal Structures AI skill do?

Select and apply the optimal proposal narrative structure (McKinsey Conclusion-First vs. Boston Storytelling) based on audience psychology, time constraints, and objectives. Use when presenting strategic solutions, recommendations, or proposals to clients, executives, or stakeholders.

Why use Consulting Proposal Structures on TypingMind?

Because you install it once and use it with any model. Consulting Proposal Structures is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Consulting Proposal Structures in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/MichaelRochonnn/mckinsey-bcg-consulting/tree/main/consulting-proposal-structures. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Consulting Proposal Structures?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Consulting Proposal Structures?

As many as you like. As long as a model supports skills, you can use Consulting Proposal Structures with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Consulting Proposal Structures AI skill free?

It is published on GitHub by MichaelRochonnn. Check the repository for licensing terms. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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