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Get Started Free →datadrivenconstruction/quality-control-workflow
Construction quality control workflow automation. Manage QC inspections, track defects, generate NCRs, and ensure specification compliance throughout the project.
Passed 22 of 23 test cases with the skill, and 9 of 23 without it.
and 14 more in the full report
13 fixed9 passed either way1 still failing0 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 13 test cases the skill fixed. Same model, same prompt, with and without the skill.
When a defect is logged using `record_defect`, what prefix format is assigned to the generated defect ID string?
| Checked | Without skill | With skill |
|---|---|---|
| Prefixes the generated defect ID with DEF- | Missed | Passed |
The instructions your model reads when the skill loads.
Automate construction quality control workflows from inspection planning through defect resolution. Track quality metrics, manage non-conformance reports (NCRs), and ensure specification compliance.
"Structured QC workflows reduce rework by 40% and improve first-time quality" — DDC Community
┌─────────────────────────────────────────────────────────────────┐
│ QC WORKFLOW PIPELINE │
├─────────────────────────────────────────────────────────────────┤
│ │
│ Plan → Inspect → Document → Resolve │
│ ──── ─────── ──────── ─────── │
│ 📋 ITP 🔍 Check 📝 NCR 🔧 Fix │
│ 📅 Schedule 📸 Photo 📊 Log ✅ Verify │
│ 👥 Assign 📏 Measure 📧 Notify 📈 Close │
│ │
└─────────────────────────────────────────────────────────────────┘
from dataclasses import dataclass, field
from typing import List, Dict, Optional
from enum import Enum
from datetime import datetime, timedelta
import json
class QCStatus(Enum):
PENDING = "pending"
IN_PROGRESS = "in_progress"
PASSED = "passed"
FAILED = "failed"
ON_HOLD = "on_hold"
test cases passed, vs 9 / 23 without
More skills from the same source and nearby in the registry, with their headline benchmark lift.