Project Closeout Checklist logo

Project Closeout Checklist

Community
datadrivenconstruction
project-closeout-checklist

Manage project closeout activities. Track completion of documentation, warranties, and final inspections.

Overview

Publisherdatadrivenconstruction
RepositoryDDC_Skills_for_AI_Agents_in_Construction
Skill nameproject-closeout-checklist
Stars
365
Forks
91
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 datadrivenconstruction on GitHub. Read the source before you install it.

Installation

Install the Project Closeout Checklist 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/datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction/tree/main/1_DDC_Toolkit/Project-Closeout/project-closeout-checklist
  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/datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction.git /tmp/DDC_Skills_for_AI_Agents_in_Construction
mkdir -p .claude/skills
cp -r /tmp/DDC_Skills_for_AI_Agents_in_Construction/1_DDC_Toolkit/Project-Closeout/project-closeout-checklist .claude/skills/project-closeout-checklist
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Project Closeout Checklist 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 Checklist 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 Checklist 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 Checklist

Technical Implementation

python
import pandas as pd
from datetime import date
from typing import Dict, Any, List, Optional
from dataclasses import dataclass, field
from enum import Enum


class ChecklistCategory(Enum):
    DOCUMENTATION = "documentation"
    FINANCIAL = "financial"
    INSPECTIONS = "inspections"
    TRAINING = "training"
    WARRANTIES = "warranties"
    PUNCHLIST = "punchlist"
    TURNOVER = "turnover"


class ItemStatus(Enum):
    NOT_STARTED = "not_started"
    IN_PROGRESS = "in_progress"
    COMPLETE = "complete"
    NOT_APPLICABLE = "not_applicable"


@dataclass
class CloseoutItem:
    item_id: str
    description: str
    category: ChecklistCategory
    responsible_party: str
    due_date: date
    status: ItemStatus
    completed_date: Optional[date] = None
    notes: str = ""
    attachments: List[str] = field(default_factory=list)


class ProjectCloseoutChecklist:
    def __init__(self, project_name: str, substantial_completion: date):
        self.project_name = project_name
        self.substantial_completion = substantial_completion
        self.items: Dict[str, CloseoutItem] = {}
        self._load_standard_items()

    def _load_standard_items(self):
        standard = [
            ("Documentation", ChecklistCategory.DOCUMENTATION, [
                "As-built drawings", "O&M manuals", "Attic stock",
                "Keying schedule", "Equipment list"
            ]),
            ("Financial", ChecklistCategory.FINANCIAL, [
                "Final payment application", "Release of liens",
                "Consent of surety", "Final change orders"
            ]),
            ("Inspections", ChecklistCategory.INSPECTIONS, [
                "Final building inspection", "Fire marshal inspection",
                "Elevator inspection", "Certificate of Occupancy"
            ]),
            ("Training", ChecklistCategory.TRAINING, [
                "HVAC system training", "Fire alarm training",
                "Security system training", "BAS training"
            ]),
            ("Warranties", ChecklistCategory.WARRANTIES, [
                "Roofing warranty", "HVAC warranty", "Elevator warranty",
                "General contractor warranty"
            ])
        ]

        counter = 0
        for category_name, category, items in standard:
            for desc in items:
                counter += 1
                item_id = f"CLO-{counter:03d}"
                self.items[item_id] = CloseoutItem(
                    item_id=item_id,
                    description=desc,
                    category=category,
                    responsible_party="Contractor",
                    due_date=self.substantial_completion,
                    status=ItemStatus.NOT_STARTED
                )

    def add_item(self, description: str, category: ChecklistCategory,
                responsible_party: str, due_date: date) -> CloseoutItem:
        item_id = f"CLO-{len(self.items) + 1:03d}"
        item = CloseoutItem(
            item_id=item_id,
            description=description,
            category=category,
            responsible_party=responsible_party,
            due_date=due_date,
            status=ItemStatus.NOT_STARTED
        )
        self.items[item_id] = item
        return item

    def update_status(self, item_id: str, status: ItemStatus, notes: str = ""):
        if item_id in self.items:
            self.items[item_id].status = status
            if status == ItemStatus.COMPLETE:
                self.items[item_id].completed_date = date.today()
            if notes:
                self.items[item_id].notes = notes

    def get_completion_percentage(self) -> float:
        applicable = [i for i in self.items.values()
                     if i.status != ItemStatus.NOT_APPLICABLE]
        complete = [i for i in applicable if i.status == ItemStatus.COMPLETE]
        return (len(complete) / len(applicable) * 100) if applicable else 0

    def get_outstanding_items(self) -> List[CloseoutItem]:
        return [i for i in self.items.values()
                if i.status in [ItemStatus.NOT_STARTED, ItemStatus.IN_PROGRESS]]

    def get_summary_by_category(self) -> Dict[str, Dict[str, int]]:
        summary = {}
        for item in self.items.values():
            cat = item.category.value
            if cat not in summary:
                summary[cat] = {'total': 0, 'complete': 0, 'outstanding': 0}
            summary[cat]['total'] += 1
            if item.status == ItemStatus.COMPLETE:
                summary[cat]['complete'] += 1
            elif item.status != ItemStatus.NOT_APPLICABLE:
                summary[cat]['outstanding'] += 1
        return summary

    def export_checklist(self, output_path: str):
        data = [{
            'ID': i.item_id,
            'Description': i.description,
            'Category': i.category.value,
            'Responsible': i.responsible_party,
            'Due': i.due_date,
            'Status': i.status.value,
            'Completed': i.completed_date,
            'Notes': i.notes
        } for i in self.items.values()]
        pd.DataFrame(data).to_excel(output_path, index=False)

Quick Start

python
checklist = ProjectCloseoutChecklist("Office Tower", date(2024, 12, 1))

# Update item status
checklist.update_status("CLO-001", ItemStatus.COMPLETE, "Received from architect")

# Check progress
print(f"Completion: {checklist.get_completion_percentage():.1f}%")

outstanding = checklist.get_outstanding_items()
print(f"Outstanding items: {len(outstanding)}")

Resources

  • DDC Book: Chapter 5 - Project Closeout

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 Checklist AI skill do?

Manage project closeout activities. Track completion of documentation, warranties, and final inspections.

Why use Project Closeout Checklist on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction/tree/main/1_DDC_Toolkit/Project-Closeout/project-closeout-checklist. 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 Checklist?

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 Checklist?

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

Is the Project Closeout Checklist AI skill free?

Yes. It is published on GitHub by datadrivenconstruction 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.

View all

Set up your own AI workspace now

Get notified about new features and future giveaways by subscribing to our newsletter 👇