Agent skill

Drawing Quantity Extract

by AlpacaLabsLLC in AlpacaLabsLLC/skills-for-architects

Extract countable FF&E or luminaire instances from supplied drawings with position-level evidence.

MITAuto-check: notesBusiness, Finance & HR

Install Drawing Quantity Extract

skills CLI
$ npx skills add AlpacaLabsLLC/skills-for-architects --skill drawing-quantity-extract -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install AlpacaLabsLLC/skills-for-architects drawing-quantity-extract --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/AlpacaLabsLLC/skills-for-architects.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/drawing-quantity-extract .claude/skills/drawing-quantity-extract && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
drawing-quantity-extract
GitHub stars
373
Token cost
~1k tokens
SKILL.md length
450 words
Files
3
Skills in repo
60
Repo updated
First seen
Licence
MIT

At a glance

Extract countable FF&E or luminaire instances from supplied drawings with position-level evidence.

  • Works in 6 steps: Verify actual source access. Freeze… → Read native evidence procedures. Extract… → Build one ledger row per candidate… → …
  • Plan quantities
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
  • Not area takeoffs

What it does

Drawing Quantity Extract is an agent skill from AlpacaLabsLLC/skills-for-architects. Extract countable FF&E or luminaire instances from supplied drawings with position-level evidence. Use for plan quantities or symbol counts; not area takeoffs, product specs or cross-source reconciliation.

Its SKILL.md is about 1k tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files (for example `README.md` and `host-contract.json`).

It sits in Business, Finance & HR, covering Accounting and bookkeeping and PRD writing. The repository describes itself as: Claude Code skills for architecture, real estate, and workplace strategy. Type /skill-name and go. The licence is MIT.

When your agent uses it

  • Plan quantities
  • Not area takeoffs
  • Cross-source reconciliation

Example prompts

  • “/drawing-quantity-extract”

Requirements

  • Pre-approved tools (allowed-tools): Read, Write, Bash, Glob, Grep

Workflow steps

6 steps, taken from the first numbered list in SKILL.md.

  1. Verify actual source access. Freeze document hashes and physical page list; record printed sheet
  2. Read native evidence procedures. Extract text and
  3. Build one ledger row per candidate label/symbol at its document/page/bounding box. Classify each as
  4. Inspect each scoped page against the ledger. Reconcile revision callouts and same-page schedules;
  5. Apply drawing_quantities.summarize with native computation under the complete evidence procedure.
  6. Return counts by exact tag and scope, source locators, excluded/unresolved instances and pages not

What it can do on your machine

Read from SKILL.md and the folder at commit 657bfd5. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves these tools, so the agent can use them without asking each time:

    • Read
    • Write
    • Bash
    • Glob
    • Grep

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Drawing Quantity Extract loads about 1k tokens when it runs. Until then it costs about 58 tokens; SKILL.md has 450 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~58
When it runs · the whole SKILL.md, loaded when a task matches
~1k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check: notes

The automated check noted patterns worth knowing about, such as sudo or a known installer.

  • NotePre-approves every shell command (allowed-tools: Bash)SKILL.md
    allowed-tools: Read, Write, Bash, Glob, Grep

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from AlpacaLabsLLC/skills-for-architects at commit 657bfd5, republished under its MIT licence (© AlpacaLabsLLC). 450 words, ~1,026 tokens.

Download SKILL.mdSave it as .claude/skills/drawing-quantity-extract/SKILL.md (or your agent's skills folder). This skill also uses 2 other files; get the full folder from GitHub.
name
drawing-quantity-extract
description
Extract countable FF&E or luminaire instances from supplied drawings with position-level evidence. Use for plan quantities or symbol counts; not area takeoffs, product specs or cross-source reconciliation.
allowed-tools
Read, Write, Bash, Glob, Grep

/as:drawing-quantity-extract — Count drawing instances

Before acting, read the host contract and declaration (skill:drawing-quantity-extract), using only referenced profiles from the catalog. Requirements do not grant access.

<!-- architecture-studio:harness-compatibility -->

Use the host adapter and available native tools or ordinary task-specific code. Operation names identify semantic procedures, not installed functions. No Arch Studio runner, package installation or executable reconstruction is required. Existing exact authorization persists; ask only for material missing information or permission.

Input: exact supplied drawing files/revisions, building/floor/phase scope and requested tags/types. Output: unadopted instance ledger, scoped counts and coverage/exclusion evidence. No record owner is changed. Read owning instructions for project work; one-off files do not require initialization.

  1. Verify actual source access. Freeze document hashes and physical page list; record printed sheet IDs separately. Keep drawing types/revisions distinct. Missing access calls a real host grant or produces a precise handoff; never substitute another workspace.
  2. Read native evidence procedures. Extract text and coordinates using the native pdf_evidence.extract procedure; use host OCR/visual inspection for image-only labels. Save page-sized checkpoints. A legend index is local to its drawing, not a global type ID.
  3. Build one ledger row per candidate label/symbol at its document/page/bounding box. Classify each as instance, legend, note or unresolved. Count repeated identical tags at distinct positions; inspect duplicate text/OCR layers and overlapping boxes before excluding any. Preserve exclusions and reasons. Associate rooms only using visible boundaries or explicit schedule evidence, not nearest-label proximity.
  4. Inspect each scoped page against the ledger. Reconcile revision callouts and same-page schedules; never count note text as furniture or silently relabel instances because a revision note proposes it. Keep observed label counts and any evidenced revised allocation distinct. If methods disagree, report unresolved counts and the source regions; an approximate number is not verified quantity.
  5. Apply drawing_quantities.summarize with native computation under the complete evidence procedure. It counts supplied classified instances only. Retain the actual result plus the host's per-page coverage and visual evidence; neither a successful command nor unique-tag count proves full extraction.
  6. Return counts by exact tag and scope, source locators, excluded/unresolved instances and pages not inspected. Save only requested derived outputs, fresh-read them and preserve originals. Route comparison with inventories or other drawings to /as:schedule-quantity-reconcile; route adopted record changes to /as:master-schedule, under its authorization. Never certify procurement totals.
Show full SKILL.md (74 more words)Show less

Current document placement

Save only authorized derived outputs and verify their actual content, source hashes and complete requested scope. Inline answers and one-off files need no project setup or adoption. For a requested registered project report, resolve confirmed coordinates using the receive-owned native documents.resolve/register semantics in the workspace model, including its complete document/register mutation sequence. Find existing records with documents.query; never guess a folder. This conditional handoff does not authorize schedule or library changes.

© AlpacaLabsLLC, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 2 other files in skills/drawing-quantity-extract of AlpacaLabsLLC/skills-for-architects.

  • SKILL.md
  • README.md
  • host-contract.json

Open the folder on GitHubat commit 657bfd5

Compare with similar skills

Drawing Quantity Extract next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Drawing Quantity Extract compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Drawing Quantity Extract this skillAlpacaLabsLLC/skills-for-architects373—~1kAutomated safety check: NotesMIT
Sync Upstreamnyaruka/phonenumbers1.6k—~2.8kAutomated safety check: PassMIT
Radiology Tablehuang-sir1/radiology-skills1.9k—~1.3kAutomated safety check: PassCustom licence
ERPClaw ERP Controlleravansaber/erpclaw114—~18kAutomated safety check: PassGPL-3.0
Odoo Agency Fleet Reviewerpipe-org/mcp-odoo421—~699Automated safety check: PassMIT
Beancount Closebex-co/beancount-io296—~1.4kAutomated safety check: PassMIT

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Questions about Drawing Quantity Extract

What does Drawing Quantity Extract do?

Extract countable FF&E or luminaire instances from supplied drawings with position-level evidence. Drawing Quantity Extract is an agent skill from AlpacaLabsLLC/skills-for-architects. Extract countable FF&E or luminaire instances from supplied drawings with position-level evidence.

When should I use Drawing Quantity Extract?

Drawing Quantity Extract fits situations like: plan quantities; not area takeoffs; cross-source reconciliation.

How do I install Drawing Quantity Extract in Claude Code?

Run `npx skills add AlpacaLabsLLC/skills-for-architects --skill drawing-quantity-extract -a claude-code`. Or copy the skill folder (skills/drawing-quantity-extract in AlpacaLabsLLC/skills-for-architects) into .claude/skills/drawing-quantity-extract in your project. Claude Code loads it when a task matches its description.

How do I install Drawing Quantity Extract in Codex?

Run `npx skills add AlpacaLabsLLC/skills-for-architects --skill drawing-quantity-extract -a codex`. Or copy the skill folder (skills/drawing-quantity-extract in AlpacaLabsLLC/skills-for-architects) into .agents/skills/drawing-quantity-extract in your project. Codex loads it when a task matches its description.

Can I use Drawing Quantity Extract in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add AlpacaLabsLLC/skills-for-architects --skill drawing-quantity-extract -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/drawing-quantity-extract, .gemini/skills/drawing-quantity-extract, .github/skills/drawing-quantity-extract and .opencode/skills/drawing-quantity-extract in your project.

What does Drawing Quantity Extract need to run?

SKILL.md names no scripts, command-line tools or credentials: Drawing Quantity Extract is instructions for the agent only. Its frontmatter pre-approves these tools: Read, Write, Bash, Glob, Grep.

Does Drawing Quantity Extract access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Drawing Quantity Extract safe to install?

Our automated static check of SKILL.md found notes only (pre-approves every shell command (allowed-tools: bash)), nothing it rates as a warning. It is not a guarantee. Review the folder before installing.

What licence does Drawing Quantity Extract use?

Drawing Quantity Extract is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Drawing Quantity Extract use?

About 1k tokens (SKILL.md is roughly 4.1k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Drawing Quantity Extract?

Skills that share tags, products or a category with Drawing Quantity Extract: Sync Upstream (nyaruka/phonenumbers, 1.6k stars), Radiology Table (huang-sir1/radiology-skills, 1.9k stars), ERPClaw ERP Controller (avansaber/erpclaw, 114 stars) and Odoo Agency Fleet Review (erpipe-org/mcp-odoo, 421 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Drawing Quantity Extract?

AlpacaLabsLLC (a GitHub organization) maintains it in AlpacaLabsLLC/skills-for-architects, which has 373 GitHub stars. The repository holds 60 skills in this directory. The repository was last updated on October 5, 2026.

Source: AlpacaLabsLLC/skills-for-architects on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.