本文へ移動
cccskills
無料GitHub で公開

oce-estimate-boq

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.

インストール方法を見る

含まれるファイル(1)

  • SKILL.md3.0 KB

SKILL.md(原文)

インストールする前に、エージェントに与えられる指示の中身を確認できます。

BOQ & Estimation in OpenConstructionERP

Workflow

  1. Pick a cost base — load it (see oce-load-cost-bases) so items are searchable.
  2. Create the BOQ — POST /api/v1/boqs with project, currency, classification standard (DIN 276 / NRM / MasterFormat / regional).
  3. Find items — GET /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. Validate — POST /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.

レビュー

まだレビューはありません。使ってみた感想をお寄せください。

同じリポジトリのスキル

概要と使いどころ

Create 4D construction simulations by linking BIM elements to project schedules. Generate time-based visualizations, sequence analysis, and construction phasing with Gantt integration.

日本語の概要は準備中です。原文の説明を表示しています。

datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction3472026年8月22日 更新

Analyze 5000+ IFC and Revit projects at scale for patterns, benchmarks, and insights. Big data analysis for construction.

日本語の概要は準備中です。原文の説明を表示しています。

datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction3472026年8月22日 更新

Check construction AI systems against the EU AI Act (Regulation 2024/1689): classify risk of estimation, scheduling, CV and agent tools, document transparency, keep human oversight. Use when deploying or auditing AI in construction.

日本語の概要は準備中です。原文の説明を表示しています。

datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction3472026年8月22日 更新

Orchestrate multiple AI agents for construction workflows: estimator, scheduler, document, QA and safety agents coordinated by a supervisor agent, with human checkpoints. Use when automating end-to-end project processes with agentic AI.

日本語の概要は準備中です。原文の説明を表示しています。

datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction3472026年8月22日 更新

Create Apache Airflow DAGs for construction data pipelines. Orchestrate ETL, validation, and reporting workflows.

日本語の概要は準備中です。原文の説明を表示しています。

datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction3472026年8月22日 更新

Automate as-built documentation and digital handover for construction. Compile project records, generate O&M manuals, create asset databases, and ensure complete project closeout.

日本語の概要は準備中です。原文の説明を表示しています。

datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction3472026年8月22日 更新

datadrivenconstruction のスキルをすべて見る

このスキルの問題を報告する