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Team Facilitation And Collaborative Problem Solving

Community
MichaelRochonnn
Team Facilitation and Collaborative Problem-Solving

Use when forming problem-solving teams for complex issues, facilitating structured brainstorming sessions, or managing tense meetings requiring controlled feedback and psychological safety.

Overview

PublisherMichaelRochonnn
Repositorymckinsey-bcg-consulting
Skill nameTeam Facilitation and Collaborative Problem-Solving
Stars
77
Forks
16
Bundled files
Instructions only
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.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

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

Installation

Install the Team Facilitation And Collaborative Problem Solving 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/team-facilitation-mckinsey
  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/team-facilitation-mckinsey .claude/skills/michaelrochonnn-team-facilitation-and-collaborative-problem-solving
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Team Facilitation And Collaborative Problem Solving 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 Team Facilitation And Collaborative Problem Solving 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 Team Facilitation And Collaborative Problem Solving 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.

Team Facilitation and Collaborative Problem-Solving

When to Use

  • Facing complex problems requiring team-based solutions
  • Need to generate rapid idea generation from groups
  • Managing tense meetings with potential conflict or resistance
  • Determining appropriate team size and structure for projects

Core Workflow

1. Form Appropriate Teams

Never work alone on complex problems:

  • Minimum Team: 2 people (e.g., consultant and project manager) for limited scope
  • Standard Team: 5-6 people for typical problem-solving
  • Super-Team: Multiple 5-6 person teams for maximum clients (e.g., 20+ person projects requiring hotel conference rooms)

Team Value Logic:

  • Complexity requires diverse perspectives beyond individual capability
  • More people enable greater data collection and analysis capacity
  • Multiple minds generate richer interpretation of data meaning

2. Facilitate Structured Brainstorming

Use Post-it Exercise for rapid idea generation:

  • Preparation: Provide each participant with a stack of sticky notes
  • Generation: Have participants independently write all ideas, one idea per note
  • Collection: Gather notes from all participants
  • Presentation: Leader reads aloud each idea to the group
  • Constraint: Do not discuss each idea immediately; prioritize speed and volume over immediate evaluation

3. Manage Tense Meetings

Apply Preemptive Control Technique when facing resistance:

  • Setup: Gather all relevant stakeholders in large conference room
  • Frame: Present the change issue or plan under consideration
  • Control: Immediately ask participants to voice dissatisfaction with the proposed plan
  • Purpose: By actively soliciting negative feedback first, you establish meeting control and surface objections in a managed way
  • Application: Particularly effective for change management discussions in tense atmospheres

Key Principles

  • Collaboration Over Individualism: Complex problems require team solutions; solo work cannot meet high standards for difficult issues
  • Psychological Safety: Create environments where unconventional ideas and negative feedback can surface without punishment
  • Structured Creativity: Use physical artifacts (sticky notes) and clear protocols to manage group dynamics

Output

Appropriately staffed teams, generated idea inventories, and controlled meeting environments that surface critical feedback without derailing objectives.

Frequently asked questions

What does the Team Facilitation And Collaborative Problem Solving AI skill do?

Use when forming problem-solving teams for complex issues, facilitating structured brainstorming sessions, or managing tense meetings requiring controlled feedback and psychological safety.

Why use Team Facilitation And Collaborative Problem Solving on TypingMind?

Because you install it once and use it with any model. Team Facilitation And Collaborative Problem Solving 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 Team Facilitation And Collaborative Problem Solving in TypingMind?

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

Which AI models can use Team Facilitation And Collaborative Problem Solving?

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 Team Facilitation And Collaborative Problem Solving?

As many as you like. As long as a model supports skills, you can use Team Facilitation And Collaborative Problem Solving with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Team Facilitation And Collaborative Problem Solving 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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