BOQ & Estimation in OpenConstructionERP
SkillSearchCreate 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.
No other account needed.
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
- Pick a cost base — load it (see
oce-load-cost-bases) so items are searchable. - Create the BOQ —
POST /api/v1/boqswith project, currency, classification standard (DIN 276 / NRM / MasterFormat / regional). - Find items —
GET /api/v1/costs/?region=TR_NATIONAL&q=duvar(SQL search) or the semantic path (/qdrant-searchwhen Qdrant is on). Every item carries acomponents[]breakdown (labour/material/machine with norm quantities and unit prices). - Link quantities — either manual entry, BIM bulk-link (
POST /api/v1/bim/elements/bulk-linkstyle endpoints aggregate area/volume/length per element), or PDF/DWG takeoff measurements. - Validate —
POST /api/v1/boqs/{id}/validate/runs rule packs (BOQ quality, DIN276, NRM, GAEB) and returns violations; quality score updates live. - 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
| Input | Path | Notes |
|---|---|---|
| Natural language | POST /api/v1/costs/match (or AI estimate) | multi-lingual matching |
| Photo | AI photo-to-BOQ (GPT-4o + YOLO) | returns scoped BOQ with confidence |
| BIM model | element → cost matching (/suggest-for-element) | uses volume/area from the model |
| DWG/PDF | takeoff measurement | vectors/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 tototal_resource_cost_per_position.
Best practices
- Always verify
unitmatches your takeoff quantity (m²/m³/m/kg). - Check the
components[]sum againstratebefore committing a binding estimate. - Keep the region currency on the BOQ; never blend currencies in one total.
- 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