Agent skill

Parametric 3D Printing with CadQuery

by flowful-ai in flowful-ai/cad-skill

Generates parametric, print-ready 3D models in Python and exports them as STL files sized to real connectors, devices and mounting hardware.

CC-BY-NC-4.0Auto-check passedGame Development

Install Parametric 3D Printing with CadQuery

skills CLI
$ npx skills add flowful-ai/cad-skill --skill parametric-3d-printing -a claude-code

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

GitHub CLI
$ gh skill install flowful-ai/cad-skill parametric-3d-printing --agent claude-code

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

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

Facts

Skill name
parametric-3d-printing
GitHub stars
655
Token cost
~5.3k tokens
SKILL.md length
2,176 words
Files
26
Skills in repo
1
Repo updated
First seen
Licence
CC-BY-NC-4.0

At a glance

Generates parametric, print-ready 3D models in Python and exports them as STL files sized to real connectors, devices and mounting hardware.

  • Works in 3 steps: Base Shape → Features → Final Delivery
  • Designing a 3D-printable bracket, mount or enclosure
  • SKILL.md covers Overview, Setup, Real-World Dimension Research and Core Workflow, plus 9 more sections
  • Runs Python scripts from its folder; calls python3, pip and conda; reaches github.com

What it does

This skill writes parametric 3D models in CadQuery, a Python library built on the OpenCASCADE kernel, and exports them as STL files ready to slice. CadQuery is picked over alternatives because it installs through pip, offers a Pythonic API, and handles fillets, chamfers, booleans and assemblies well; setup needs Python 3.10 through 3.12 specifically because the kernel lacks newer wheels, with a conda-based fallback if the pip install fails.

Before writing any geometry, it searches the web for the real dimensions of any product the part has to fit - connector openings, phone or PCB measurements, screw sizes, standard component specs - rather than guessing, cross-checks at least two sources when precision matters, records the sourced numbers as comments next to the parameters, and adds a small clearance to external dimensions. A preview-analyze-iterate loop then renders the model offscreen so it can be checked without a display server, before moving on to slicing.

It is built around interfacing with real, physical products such as phone cases, charger mounts, PCB enclosures and cable adapters, where being off by even a millimeter or two can make the part unusable.

When your agent uses it

  • Designing a 3D-printable bracket, mount or enclosure
  • Modeling a part that has to fit a specific connector or device
  • Generating an STL file from parametric Python code

Example prompts

  • “Design a wall mount for a Ring doorbell with cable routing.”
  • “Make a parametric phone stand that fits a MagSafe puck.”
  • “Generate a Gridfinity-compatible bin sized 3x2 for small tools.”

Requirements

  • Python 3.10-3.12
  • CadQuery (OpenCASCADE-based)
  • Web search for real-world part dimensions

Workflow steps

3 steps, taken from the step headings in SKILL.md.

  1. Base Shape
  2. Features
  3. Final Delivery

What it can do on your machine

Read from SKILL.md and the folder at commit fe42159. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Ships script files (Python, from the files we listed), which the agent can run.

    Shell commands in SKILL.md call:

    • python3
    • pip
    • conda

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

  • Network

    Hosts in commands or code, which the agent is likely to contact:

    • github.com

    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

Parametric 3D Printing with CadQuery loads about 5.3k tokens when it runs. Until then it costs about 213 tokens; SKILL.md has 2,176 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~213
When it runs · the whole SKILL.md, loaded when a task matches
~5.3k

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 passed

The automated check found no risky patterns in SKILL.md.

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

Its licence (CC-BY-NC-4.0) doesn't allow us to republish the file, so here is its outline and opening line. It has 2,176 words (~5,340 tokens).

“This skill generates parametric 3D models using CadQuery (Python) and exports them as STL files ready for slicing. CadQuery is preferred because it installs via pip, has a Pythonic API, and handles complex geometry (fillets, chamfers, booleans, assemblies) better than…”

— opening of SKILL.md by flowful-ai, CC-BY-NC-4.0
name
parametric-3d-printing

Read the full SKILL.md on GitHub

Files

SKILL.md and 25 other files in the repository root of flowful-ai/cad-skill.

  • SKILL.md
  • .gitignore
  • LICENSE
  • README.md
  • design-review.md
  • docs/gridfinity_d110_bin_preview.png
  • docs/iphone13_pro_case_preview.png
  • docs/magnet_catch_preview.png
  • docs/magnet_strike_preview.png
  • docs/magsafe_stand_preview.png
  • docs/mx_master3_bin_3x3_preview.png
  • examples/gridfinity_d110_bin.py
  • examples/mx_master3_bin_3x3.py
  • gridfinity.py
  • mesh_io.py
  • outline_from_scan.py
  • preview.py
  • requirements.txt
  • run_cadquery_model.py
  • … and 7 more

Open the folder on GitHubat commit fe42159

Compare with similar skills

Parametric 3D Printing with CadQuery 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.

Parametric 3D Printing with CadQuery compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Parametric 3D Printing with CadQuery this skillflowful-ai/cad-skill655—~5.3kAutomated safety check: PassCC-BY-NC-4.0
Image to Three.js Modelimg2threejs/img2threejs18k1 repos~8.2kAutomated safety check: PassApache-2.0
Bambu Studio AIheyixuan2/bambu-studio-ai220—~4.3kAutomated safety check: PassMIT
Text To 3D AssetLaurentiuGabriel/unreal-game-assets-creation-skill148—~2.1kAutomated safety check: PassNone
Build123drawwerks/VibeCAD121—~1.4kAutomated safety check: NotesMIT
SimplecadapiPhySpace/SimpleCADAPI142—~2.5kAutomated safety check: PassApache-2.0

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Works with

Questions about Parametric 3D Printing with CadQuery

What does Parametric 3D Printing with CadQuery do?

Generates parametric, print-ready 3D models in Python and exports them as STL files sized to real connectors, devices and mounting hardware. This skill writes parametric 3D models in CadQuery, a Python library built on the OpenCASCADE kernel, and exports them as STL files ready to slice.12 specifically because the kernel lacks newer wheels, with a conda-based fallback if the pip install fails.

When should I use Parametric 3D Printing with CadQuery?

Parametric 3D Printing with CadQuery fits situations like: designing a 3D-printable bracket, mount or enclosure; modeling a part that has to fit a specific connector or device; generating an STL file from parametric Python code.

How do I install Parametric 3D Printing with CadQuery in Claude Code?

Run `npx skills add flowful-ai/cad-skill --skill parametric-3d-printing -a claude-code`. Or copy the skill folder (the flowful-ai/cad-skill repository) into .claude/skills/parametric-3d-printing in your project. Claude Code loads it when a task matches its description.

How do I install Parametric 3D Printing with CadQuery in Codex?

Run `npx skills add flowful-ai/cad-skill --skill parametric-3d-printing -a codex`. Or copy the skill folder (the flowful-ai/cad-skill repository) into .agents/skills/parametric-3d-printing in your project. Codex loads it when a task matches its description.

Can I use Parametric 3D Printing with CadQuery 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 flowful-ai/cad-skill --skill parametric-3d-printing -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/parametric-3d-printing, .gemini/skills/parametric-3d-printing, .github/skills/parametric-3d-printing and .opencode/skills/parametric-3d-printing in your project.

What does Parametric 3D Printing with CadQuery need to run?

Going by SKILL.md and its folder, Parametric 3D Printing with CadQuery needs Python for the scripts in its folder and the command-line tools its instructions call (python3, pip and conda). Our summary lists: Python 3.10-3.12; CadQuery (OpenCASCADE-based); Web search for real-world part dimensions.

Does Parametric 3D Printing with CadQuery access the network?

SKILL.md names 1 domain. In commands or code: github.com; the agent is likely to contact it when it follows the instructions. This is read from the text; nothing was executed.

Is Parametric 3D Printing with CadQuery safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Parametric 3D Printing with CadQuery use?

Parametric 3D Printing with CadQuery is published under the CC-BY-NC-4.0 licence (from the LICENSE file in the skill folder).

How many tokens does Parametric 3D Printing with CadQuery use?

About 5.3k tokens (SKILL.md is roughly 21k 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 Parametric 3D Printing with CadQuery?

Skills that share tags, products or a category with Parametric 3D Printing with CadQuery: Image to Three.js Model (img2threejs/img2threejs, 18k stars), Bambu Studio AI (heyixuan2/bambu-studio-ai, 220 stars), Text To 3D Asset (LaurentiuGabriel/unreal-game-assets-creation-skill, 148 stars) and Build123d (rawwerks/VibeCAD, 121 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Parametric 3D Printing with CadQuery?

flowful-ai (a GitHub organization) maintains it in flowful-ai/cad-skill, which has 655 GitHub stars. The repository was last updated on July 14, 2026.

Source: flowful-ai/cad-skill on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.