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Project Closeout

Community
anotb
project-closeout

Close or transition a consulting engagement through acceptance, handover, knowledge transfer, benefits ownership, financial reconciliation, and lessons learned. Use for successful completion, early termination, suspension, or transition to business-as-usual.

Overview

Publisheranotb
Repositorymanagement-consulting-plugin
Skill nameproject-closeout
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 Project Closeout 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/project-closeout
  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/project-closeout .claude/skills/project-closeout
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Project Closeout 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 Project Closeout 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 Project Closeout 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.

Project Closeout

Leave the client able to operate the delivered work and maintain a clear record of what was accepted, transferred, and left open. Adapt closeout to successful completion, early termination, suspension, or transition to business-as-usual. A paused project needs restart conditions; a terminated project needs an accurate partial handover.

Use the agreement, deliverable inventory, acceptance records, finances, and operating responsibilities supplied. Extract lists and figures from those materials; do not invent them. Produce supported draft sections with explicit gaps, asking only when a missing input changes the closure decision. Preserve the agreed scope and support obligations.

Assess readiness

Separate closure conditions, tasks needed to reach them, and items the authorized owner can accept with a resolution plan. Acceptance of delivered scope may occur before longer-term benefits mature. Do not require future benefits to be fully realized or every minor issue resolved if the agreed closure criteria permit handover.

Record each deliverable's current version, location, status, acceptance evidence, receiving owner, and open items. Distinguish delivered, reviewed, accepted, and operationally supported. A draft signature block is not acceptance.

Transfer usable ownership

Prepare the user, technical, operating, or analytical documentation the work actually needs. A financial model needs assumptions and update instructions; a live process may need a runbook, monitoring, escalation, and tested exception handling. Do not require API documentation or hypercare for a memo-only engagement.

For knowledge transfer, identify the recipient, method, material, and evidence that the recipient can use it. A document link or attendance record alone may not demonstrate readiness for critical work. Define the post-project support scope, dates, owner, escalation, and any unresolved commitment from the actual agreement.

For benefits, transfer definition, baseline, target basis, current measurement, source, calculation, owner, and review or intervention trigger. Separate measured results from forecasts and annualized run rates. Do not impose a generic benefits calendar. Plan future reviews where appropriate, without scheduling them unless authorized.

Reconcile and learn

Reconcile budget, actual and committed costs, invoices, payments, expenses, and remaining obligations. Explain variances and distinguish a proposed settlement from agreed billing. Release resources and access only through the relevant authority, with continuity and retention obligations understood.

Use closeout and early termination for readiness records, lessons, handover, and a difficult ending. Capture lessons from evidence and translate them into a specific change for future work; do not invent personnel feedback or attribute quotes without support.

For regulated engagements, data disposition, or retention questions, read regulated-industry closeout. Verify applicable current rules, contracts, holds, and ownership before recommending disposition. Drafting a closeout plan does not authorize deleting data or closing contracts.

Deliver

Produce the requested checklist, handover pack, acceptance draft, retrospective, or closure report. State the closure recommendation, completed and pending evidence, accepted open items, receiving owners, and remaining decisions. Check that the summary reflects the records and the client has a usable route to support. Do not claim sign-off, payment, access revocation, or knowledge transfer has occurred without evidence.

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 Project Closeout AI skill do?

Close or transition a consulting engagement through acceptance, handover, knowledge transfer, benefits ownership, financial reconciliation, and lessons learned. Use for successful completion, early termination, suspension, or transition to business-as-usual.

Why use Project Closeout on TypingMind?

Because you install it once and use it with any model. Project Closeout 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 Project Closeout in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/anotb/management-consulting-plugin/tree/main/skills/project-closeout. 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 Project Closeout?

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 Project Closeout?

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

Is the Project Closeout 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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