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Engagement Setup

Community
anotb
engagement-setup

Launch a consulting engagement with a focused kickoff, discovery plan, stakeholder assessment, and working arrangements. Use after award or when resetting an engagement that lacks shared scope, access, or decision authority.

Overview

Publisheranotb
Repositorymanagement-consulting-plugin
Skill nameengagement-setup
Stars
62
Forks
9
Bundled files
2
LicenseMIT
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 anotb on GitHub. Read the source before you install it.

Installation

Install the Engagement Setup 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/anotb/management-consulting-plugin/tree/main/skills/engagement-setup
  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/anotb/management-consulting-plugin.git /tmp/management-consulting-plugin
mkdir -p .claude/skills
cp -r /tmp/management-consulting-plugin/skills/engagement-setup .claude/skills/engagement-setup
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Engagement Setup 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 Engagement Setup 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 Engagement Setup 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.

Engagement Setup

Turn the agreed engagement into a shared problem definition, access to evidence, working ownership, and useful early progress. Preserve the contract, approved scope, existing work, and client's operating requirements. Do not replay sales qualification after award or impose enterprise governance on a small advisory task.

Use the brief, contract, known team, timeline, and available data. Draft supported portions while recording missing information. Ask only when a missing answer changes the scope or makes the plan unusable. Mark unknown stakeholder positions and proposed commitments rather than filling them with plausible names, dates, or attitudes.

Prepare the launch

Identify the outcome, decision-maker, scope boundaries, deliverables, success evidence, dependencies, and near-term decisions. Compare expectations with the agreement and make discrepancies visible. Separate contractual commitments from planning assumptions.

Map affected groups and decision roles. Use a power-interest matrix when it helps: high power/high interest = manage closely; high power/low interest = keep satisfied; low power/high interest = keep informed and hear their input; low power/low interest = monitor proportionately. Influence and interest do not establish support or opposition. Record stance from evidence and revisit it when information changes.

Design the kickoff around unresolved alignment and decisions. Move routine information into a proportionate pre-read if time permits. Select a duration and participants to fit the brief; a kickoff can be a short working session rather than a workshop. Identify the authority or representation required for decisions without treating absence as automatic evidence of disengagement.

For a charter, use project charter template. Adapt fields to the engagement; do not require every field to be finalized live or describe a charter as replacing the contract.

Design discovery

Tie each question to the decision it will inform. Choose data review, interviews, observation, working sessions, or a survey according to the evidence needed. Use discovery methods for requests, interviews, and synthesis.

Distinguish an interview report, an observed behavior, and a measured outcome. Several people reporting the same theme can justify further investigation but do not establish prevalence or causality. Test executive accounts against operating evidence without assuming either is always more accurate.

Prioritize evidence that could change the recommendation or unlock work. Track what was requested, supplied, tested, and still missing. Do not commission broad research or contact stakeholders merely because a template lists them; execute those actions within the user's authorization.

Establish working arrangements

For the work that needs coordination, set workstream ownership, deliverable handoffs, decision rights, access, document locations, version conventions, communication channels, and escalation. Reuse the client's systems and governance. Schedule only the ceremonies needed to make decisions or resolve dependencies.

Capture actual agreements separately from proposals. Protect sensitive stakeholder assessments and interview confidentiality under the engagement's rules; sanitize shared materials where appropriate. Do not promise anonymity or record a meeting without the applicable agreement and authorization.

Deliver

Produce the requested kickoff agenda, charter draft, discovery plan, interview guide, or launch pack. Check that it reflects the contract, identifies unresolved decisions, and makes the first useful work clear. Named actions need an owner and timing; when unconfirmed, use a proposed role and relative date. Report evidence gaps as work to resolve, not as invented findings.

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 Engagement Setup AI skill do?

Launch a consulting engagement with a focused kickoff, discovery plan, stakeholder assessment, and working arrangements. Use after award or when resetting an engagement that lacks shared scope, access, or decision authority.

Why use Engagement Setup on TypingMind?

Because you install it once and use it with any model. Engagement Setup 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 Engagement Setup in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/anotb/management-consulting-plugin/tree/main/skills/engagement-setup. 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 Engagement Setup?

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 Engagement Setup?

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

Is the Engagement Setup AI skill free?

Yes. It is published on GitHub by anotb under the MIT license. 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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