as-built-tracker
Track as-built documentation and record drawings. Monitor submission status, manage revisions, and ensure completeness for handover.
Install / Use
npx skills add datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction --skill as-built-trackerInstalls into whichever agent you are using.
SKILL.md
Installable skill definition
Quality Score
Category
OperationsSupported Platforms
Our assessment of as-built-tracker
as-built-tracker scores 91/100 on our quality scale, 308th of 762 Operations skills we index (top 41%).
Its SKILL.md is 13 KB long, well organised into 15 sections with 5 code examples: a thorough specification that gives an agent plenty to work with.
It has 333 GitHub stars, a meaningful sign that others use it.
Maintenance, license and trust
- The repository was last updated about 2 months ago, so as-built-tracker is actively maintained.
- It is released under the MIT license, a permissive license that allows use, modification and commercial use with attribution.
- Its trust signals score 100/100, with no cautions. These come from repository metadata, not a code audit — read the skill file before letting an agent act on it.
as-built-tracker compared with similar skills
All 4 of these similar skills score higher than as-built-tracker; compare them before choosing.
| Skill | Score | Stars | Updated | Format |
|---|---|---|---|---|
| as-built-tracker (this skill)by datadrivenconstruction | 91 | 333 | 56d ago | SKILL.md |
| Agent-Reachby Panniantong | 100 | 98.3k | 2d ago | CLAUDE.md |
| headroomby headroomlabs-ai | 100 | 75.5k | today | CLAUDE.md |
| Scraplingby D4Vinci | 100 | 88.2k | today | MCP Server |
| crawl4aiby unclecode | 100 | 85.7k | 2d ago | MCP Server |
Frequently asked questions
- How do I install as-built-tracker?
- Run
npx skills add datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction --skill as-built-tracker. The install tabs above show the steps for each supported agent. - Which AI agents does as-built-tracker work with?
- It is written for Universal, as a SKILL.md file. Other agents that read the same format can often use it too.
- Is as-built-tracker safe to use?
- It is MIT-licensed and scores 100/100 on trust signals. Skills are instructions an agent will follow, so read the file before installing it and do not approve commands you do not understand.
- Is as-built-tracker still maintained?
- The repository was last updated about 2 months ago, so as-built-tracker is actively maintained.
Skill content
View source on GitHubname: "as-built-tracker" description: "Track as-built documentation and record drawings. Monitor submission status, manage revisions, and ensure completeness for handover." homepage: "https://datadrivenconstruction.io" metadata: {"openclaw": {"emoji": "✅", "os": ["darwin", "linux", "win32"], "homepage": "https://datadrivenconstruction.io", "requires": {"bins": ["python3"]}}}
As-Built Documentation Tracker
Business Case
Problem Statement
As-built documentation challenges:
- Tracking hundreds of drawings
- Managing revisions
- Ensuring completeness
- Meeting handover deadlines
Solution
Systematic tracking of as-built documentation submissions, revisions, and approval status.
Technical Implementation
import pandas as pd
from typing import Dict, Any, List, Optional
from dataclasses import dataclass, field
from datetime import date, timedelta
from enum import Enum
class DocumentStatus(Enum):
NOT_STARTED = "not_started"
IN_PROGRESS = "in_progress"
SUBMITTED = "submitted"
UNDER_REVIEW = "under_review"
APPROVED = "approved"
REJECTED = "rejected"
RESUBMIT = "resubmit"
class DocumentType(Enum):
ARCHITECTURAL = "architectural"
STRUCTURAL = "structural"
MECHANICAL = "mechanical"
ELECTRICAL = "electrical"
PLUMBING = "plumbing"
FIRE_PROTECTION = "fire_protection"
CIVIL = "civil"
LANDSCAPE = "landscape"
SPECIFICATIONS = "specifications"
O_AND_M = "o_and_m"
@dataclass
class AsBuiltDocument:
document_id: str
document_number: str
title: str
doc_type: DocumentType
discipline: str
contractor: str
status: DocumentStatus
current_revision: str
required_date: date
submitted_date: Optional[date] = None
approved_date: Optional[date] = None
reviewer: str = ""
comments: str = ""
file_path: str = ""
@dataclass
class DocumentSubmission:
submission_id: str
document_id: str
revision: str
submission_date: date
submitted_by: str
file_path: str
status: DocumentStatus
review_comments: str = ""
class AsBuiltTracker:
"""Track as-built documentation."""
def __init__(self, project_name: str, handover_date: date):
self.project_name = project_name
self.handover_date = handover_date
self.documents: Dict[str, AsBuiltDocument] = {}
self.submissions: List[DocumentSubmission] = []
self._next_id = 1
def add_document(self,
document_number: str,
title: str,
doc_type: DocumentType,
discipline: str,
contractor: str,
required_date: date = None) -> AsBuiltDocument:
"""Add document to tracking."""
doc_id = f"DOC-{self._next_id:04d}"
self._next_id += 1
if required_date is None:
required_date = self.handover_date - timedelta(days=14)
doc = AsBuiltDocument(
document_id=doc_id,
document_number=document_number,
title=title,
doc_type=doc_type,
discipline=discipline,
contractor=contractor,
status=DocumentStatus.NOT_STARTED,
current_revision="0",
required_date=required_date
)
self.documents[doc_id] = doc
return doc
def import_document_list(self, df: pd.DataFrame):
"""Import document list from DataFrame."""
for _, row in df.iterrows():
doc_type = DocumentType(row.get('type', 'architectural').lower())
req_date = pd.to_datetime(row.get('required_date', self.handover_date)).date() if 'required_date' in row else None
self.add_document(
document_number=str(row['document_number']),
title=row['title'],
doc_type=doc_type,
discipline=row.get('discipline', ''),
contractor=row.get('contractor', ''),
required_date=req_date
)
def record_submission(self,
document_id: str,
revision: str,
submitted_by: str,
file_path: str = "") -> Optional[DocumentSubmission]:
"""Record document submission."""
if document_id not in self.documents:
return None
doc = self.documents[document_id]
submission = DocumentSubmission(
submission_id=f"SUB-{len(self.submissions)+1:04d}",
document_id=document_id,
revision=revision,
submission_date=date.today(),
submitted_by=submitted_by,
file_path=file_path,
status=DocumentStatus.SUBMITTED
)
self.submissions.append(submission)
# Update document
doc.status = DocumentStatus.SUBMITTED
doc.current_revision = revision
doc.submitted_date = date.today()
return submission
def review_submission(self,
document_id: str,
approved: bool,
reviewer: str,
comments: str = ""):
"""Review submitted document."""
if document_id not in self.documents:
return
doc = self.documents[document_id]
if approved:
doc.status = DocumentStatus.APPROVED
doc.approved_date = date.today()
else:
doc.status = DocumentStatus.REJECTED
doc.reviewer = reviewer
doc.comments = comments
# Update latest submission
for sub in reversed(self.submissions):
if sub.document_id == document_id:
sub.status = DocumentStatus.APPROVED if approved else DocumentStatus.REJECTED
sub.review_comments = comments
break
def get_summary(self) -> Dict[str, Any]:
"""Get documentation status summary."""
docs = list(self.documents.values())
today = date.today()
# Status counts
status_counts = {}
for status in DocumentStatus:
status_counts[status.value] = sum(1 for d in docs if d.status == status)
# By type
by_type = {}
for doc_type in DocumentType:
pending = sum(1 for d in docs if d.doc_type == doc_type and d.status != DocumentStatus.APPROVED)
if pending > 0:
by_type[doc_type.value] = pending
# Overdue
overdue = sum(
1 for d in docs
if d.required_date < today and d.status != DocumentStatus.APPROVED
)
# Completion rate
approved = sum(1 for d in docs if d.status == DocumentStatus.APPROVED)
completion = (approved / len(docs) * 100) if docs else 0
return {
'total_documents': len(docs),
'approved': approved,
'completion_rate': round(completion, 1),
'by_status': status_counts,
'by_type': by_type,
'overdue': overdue,
'days_to_handover': (self.handover_date - today).days
}
def get_contractor_status(self, contractor: str) -> Dict[str, Any]:
"""Get status for specific contractor."""
docs = [d for d in self.documents.values() if d.contractor == contractor]
approved = sum(1 for d in docs if d.status == DocumentStatus.APPROVED)
pending = len(docs) - approved
return {
'contractor': contractor,
'total': len(docs),
'approved': approved,
'pending': pending,
'completion_rate': round(approved / len(docs) * 100, 1) if docs else 0
}
def get_overdue_documents(self) -> List[Dict[str, Any]]:
"""Get overdue documents."""
today = date.today()
overdue = []
for doc in self.documents.values():
if doc.required_date < today and doc.status != DocumentStatus.APPROVED:
overdue.append({
'document_id': doc.document_id,
'document_number': doc.document_number,
'title': doc.title,
'contractor': doc.contractor,
'required_date': doc.required_date,
'days_overdue': (today - doc.required_date).days,
'status': doc.status.value
})
return sorted(overdue, key=lambda x: x['days_overdue'], reverse=True)
def forecast_completion(self) -> Dict[str, Any]:
"""Forecast documentation completion."""
summary = self.get_summary()
pending = summary['total_documents'] - summary['approved']
# Calculate submission rate
recent_approvals = sum(
1 for d in self.documents.values()
if d.approved_date and d.approved_date >= date.today() - timedelta(days=14)
)
weekly_rate = recent_approvals / 2 if recent_approvals > 0 else 1
weeks_needed = pending / weekly_rate if weekly_rate > 0 else pending
projected_completion = date.today() + timedelta(weeks=weeks_needed)
return {
'pending_documents': pending,
'approval_rate_per_week': round(weekly_rate, 1),
'weeks_needed': round(weeks_needed, 1),
'projected_completion': projected_completion,
'handover_date': self.handover_date,
'on_track': projected_completion <= self.handover_date
}
def generate_transmittal(self,
document_ids: List[str],
to: str,
subject: str) -> Dict[str, Any]:
"""Generate transmittal for documents."""
docs = [self.documents[d] for d in document_ids if d in self.documents]
return {
'transmittal_number': f"TR-{date.today().strftime('%Y%m%d')}-001",
'date': date.today(),
'from': self.project_name,
'to': to,
'subject': subject,
'documents': [
{
'number': d.document_number,
'title': d.title,
'revision': d.current_revision
}
for d in docs
],
'document_count': len(docs)
}
def export_to_excel(self, output_path: str) -> str:
"""Export tracking to Excel."""
summary = self.get_summary()
with pd.ExcelWriter(output_path, engine='openpyxl') as writer:
# Summary
summary_df = pd.DataFrame([{
'Project': self.project_name,
'Handover Date': self.handover_date,
'Total Documents': summary['total_documents'],
'Approved': summary['approved'],
'Completion %': summary['completion_rate'],
'Overdue': summary['overdue'],
'Days to Handover': summary['days_to_handover']
}])
summary_df.to_excel(writer, sheet_name='Summary', index=False)
# All Documents
docs_df = pd.DataFrame([
{
'ID': d.document_id,
'Number': d.document_number,
'Title': d.title,
'Type': d.doc_type.value,
'Discipline': d.discipline,
'Contractor': d.contractor,
'Status': d.status.value,
'Revision': d.current_revision,
'Required': d.required_date,
'Submitted': d.submitted_date,
'Approved': d.approved_date
}
for d in self.documents.values()
])
docs_df.to_excel(writer, sheet_name='Documents', index=False)
# Overdue
overdue = self.get_overdue_documents()
if overdue:
Truncated for display — read the full file on GitHub.
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