BOQ & Estimation in OpenConstructionERP

SkillSearch

Create bills of quantities and estimates in OpenConstructionERP: search cost items, build BOQ sections, link BIM elements in bulk, validate the BOQ, and export GAEB/XLSX/JSON. Use for any estimating workflow on the platform.

Available today. Use it from your connected AI after setup.

Connect ahel once, and every AI you use reads what you have installed.

Then ask your AI: use the BOQ & Estimation in OpenConstructionERP skill

What this skill tells your AI

The instructions your AI receives, as published by datadrivenconstruction/ddc_skills_for_ai_agents_in_construction in 6_OpenConstructionERP/oce-estimate-boq/SKILL.md and read by ahel’s review.

Workflow

  1. Pick a cost base — load it (see oce-load-cost-bases) so items are searchable.
  2. Create the BOQPOST /api/v1/boqs with project, currency, classification standard (DIN 276 / NRM / MasterFormat / regional).
  3. Find itemsGET /api/v1/costs/?region=TR_NATIONAL&q=duvar (SQL search) or the semantic path (/qdrant-search when Qdrant is on). Every item carries a components[] breakdown (labour/material/machine with norm quantities and unit prices).
  4. Link quantities — either manual entry, BIM bulk-link (POST /api/v1/bim/elements/bulk-link style endpoints aggregate area/volume/length per element), or PDF/DWG takeoff measurements.
  5. ValidatePOST /api/v1/boqs/{id}/validate/ runs rule packs (BOQ quality, DIN276, NRM, GAEB) and returns violations; quality score updates live.
  6. Export — GAEB X83/X84, XLSX, JSON for tendering.

Cost item anatomy (what the platform stores per item)

{
  "code": "15.115.1008",
  "description": "El veya kompresörle ... yumuşak kaya kazılması",
  "unit": "m³",
  "rate": 1044.5,
  "currency": "TRY",
  "classification": {"collection":"İnşaat","department":"İnşaat","section":"15.115","category":"CONSTRUCTION WORK"},
  "components": [
    {"name":"Kompresör","type":"equipment","quantity":0.2,"unit_rate":1991.73,"cost":398.35},
    {"name":"Düz işçi","type":"labor","quantity":1.25,"unit_rate":165.0,"cost":206.25}
  ],
  "metadata": {"labor_cost":437.25,"equipment_cost":398.35,"labor_hours":3.83}
}

Estimation inputs the platform supports

InputPathNotes
Natural languagePOST /api/v1/costs/match (or AI estimate)multi-lingual matching
PhotoAI photo-to-BOQ (GPT-4o + YOLO)returns scoped BOQ with confidence
BIM modelelement → cost matching (/suggest-for-element)uses volume/area from the model
DWG/PDFtakeoff measurementvectors/rooms detected, pushed into BOQ

Pricing notes (honest rules)

  • National bases are priced in their home currency; markets are PPP-repriced upstream (no FX inside the platform).
  • Coefficient bases (Vietnam Dinh Muc, Indonesia AHSP) import with rate = 0 — attach a market resource price sheet before estimating.
  • Turkey positions carry the source book's markup (e.g. 25% contractor profit) inside total_cost_per_position; resource sums reconcile to total_resource_cost_per_position.

Best practices

  1. Always verify unit matches your takeoff quantity (m²/m³/m/kg).
  2. Check the components[] sum against rate before committing a binding estimate.
  3. Keep the region currency on the BOQ; never blend currencies in one total.
  4. Re-run validation after every bulk edit — the quality score is the fastest signal.

Signals

GitHub stars
308
Forks
79
Last commit
Aug 2026
Advanced
Catalog kind
skill
Gateway key
oce-estimate-boq
Source
github.com/datadrivenconstruction/ddc_skills_for_ai_agents_in_construction