القائمة
Extract schedules, text, and tables from PDF construction drawings. Can search for specific terms to find relevant pages. Results saved to output/ for cross-validation.
التثبيت باستخدام Codex أو Claude انسخ هذا Prompt والصقه في Codex أو Claude أو مساعد آخر ليراجع صفحة Skill ويثبّتها لك.
استنادا إلى تصنيف SOC المهني
Reference manual for BuildBrain CLI tools (ifc_extract.py and pdf_extract.py). Shows all commands, flags, output formats, and type shorthands. Use this as a reference when working with IFC or PDF data.
Compare IFC model data against PDF drawing schedules. Reads saved extraction data from output/, identifies count mismatches, missing properties, and conflicting values. Generates Markdown discrepancy report with PASS/WARN/INFO flags.
Extract data from IFC building models. Accepts element types (door, wall, window, slab, roof, etc.) and optional property filters. Translates natural language queries into CLI commands. Results saved to output/ for cross-validation.
Generate formatted construction deliverables — QTO tables, element schedules, material takeoffs, compliance checklists. Reads extracted data from output/, uses quantities command for aggregates. Formats per Australian construction conventions.
Scan IFC and PDF files to create a project inventory. Shows element counts, schedule locations, and data quality issues. Use when starting work on a new project or wanting an overview.
| name | pdf-extract |
| description | Extract schedules, text, and tables from PDF construction drawings. Can search for specific terms to find relevant pages. Results saved to output/ for cross-validation. |
| allowed-tools | Bash, Read, Write |
| argument-hint | [file.pdf] [command:text|tables|schedules|search] [options] |
Extract data from PDF construction documents. For full CLI command syntax and flags, see /cli-tools.
If no file path provided:
ls data/*.pdf 2>/dev/null
Multiple files → ask user. No files → tell user to place PDF in data/.
schedules (auto-detects what's in the PDF)search first to find pages, then tables on those pagestables or textScripts are at skills/cli-tools/scripts/pdf_extract.py. Always include --save.
python skills/cli-tools/scripts/pdf_extract.py <file.pdf> <command> [options] --save
Common patterns:
# What schedules are in this PDF?
schedules --save
# Find the door schedule
search "door schedule" --save
# then: tables --pages <matched_pages> --save
# Extract everything from a page
text --pages 5 --save
tables --pages 5 --save
schedules: list each type found, page, headers, row countsearch: matching pages with snippets, suggest extraction commandstables: describe each table — headers, rows, what it contains/cross-validate door to compare against IFC model"text extractionsearch with specific terms