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TC

earthtojake/text-to-cad

AI Agent

A library of agent skills for CAD, CAE and CAM

13k Stars1.4k Forks14 Open Issues13k WatchersJavaScriptMIT
AI AgentDeveloper ToolUI Framework
Review Readiness

This repository page has enough original analysis, source evidence, and comparison context to be treated as an indexable Git-Stars review.

100

review score

Indexable review
Decision Snapshot

Problem solved

Traditional CAD and robotics design require manual, expert-driven workflows with steep learning curves. This framework solves the problem of translating high-level design intent into precise, manufacturable 3D models and robot descriptions by giving AI agents structured tools to create, edit, and validate STEP, STL, URDF, and G-code files directly from text or images.

Deployment reality

The available setup signal starts with: npx skills install earthtojake/text-to-cad. Treat this as a starting point, then ask Codex or Claude to inspect the README, environment variables, runtime version, and deployment target before production use.

Commercial use

The recorded license is MIT. This is a useful commercial-use signal, but teams should still verify license text, dependencies, model/API terms, and trademark constraints.

Capability ceiling

Developers can build AI agents that design mechanical parts, generate robot kinematics and simulation models, slice models for 3D printing, and prepare files for online fabrication services like SendCutSend. Real-world use cases include rapid prototyping from sketches, automated generation of robot arms with MoveIt configuration, and end-to-end manufacturing pipelines from text prompt to printable G-code. The ceiling includes complex multi-part assemblies, full robot models with sensors and physics, and integration with local CAD viewers and printer APIs.

Source and compliance noteLast synced: Aug 6, 2026

Git-Stars is independent and not affiliated with GitHub or this project. Analysis may be AI-assisted and based on public repository metadata plus short README-derived summaries. We do not mirror full README files, docs, issues, or social comments.

Original GitHub sourceMethodologyEditorial Policy
Editorial Evaluation

earthtojake/text-to-cad is tracked as a JavaScript project in the AI Agent, Developer Tool, UI Framework area. This evaluation combines public GitHub metadata, category signals, short source summaries, and Git-Stars editorial rules rather than copying project documentation.

Momentum check: the repository has 13k total stars, with +0 today, +1.1k this week, and +0 this month. These growth windows help distinguish durable adoption from short-lived visibility spikes.

Maintenance check: current activity is Active; the latest push was 17 days ago, and the open issue queue is 14, about 0.11% of total stars. Treat this as an adoption signal, not a substitute for engineering due diligence.

Adoption check: 1.4k forks and 13k watchers suggest how often the project is reused or followed. License signal: MIT. Always verify license compatibility before commercial or internal use.

Practical fit: this project is most relevant when you need JavaScript teams evaluating ecosystem-native tooling. Be cautious when you need a legal review, security audit, or production SLA.

Source check: Git-Stars currently has 2 explicit source reference(s) for this report and a recent growth signal of 2.9k. Follow the original GitHub repository for final install, security, and release information.

Evidence Checklist

Analysis

Ready

Original problem, capability, and verdict guidance are available.

Sources

Ready

Repository metadata and README/source references are attached.

License

Ready

MIT is recorded for review.

Maintenance

Ready

Recent activity is visible in repository metadata.

Alternatives

Ready

Enough nearby projects exist for comparison.

Best For
  • JavaScript teams evaluating ecosystem-native tooling
  • teams that prefer mature projects with broad adoption signals
  • use cases where recent maintenance matters
Avoid When
  • you need a legal review, security audit, or production SLA
Adoption Signals

Momentum

13k Stars

Reuse

1.4k Forks

Attention

13k Watchers

Maintenance

active

License

MIT

Open issues

14

Overview

CAD Skills is a library of agent skills for generating, inspecting, sourcing, slicing, and handing off CAD and robot-description artifacts from local project files.

Key Features

- Creates and edits CAD models from text or images, exporting to STEP, STL, 3MF, and GLB. - Provides skills for robot description files (URDF, SRDF, SDF) and fabrication (DXF, G-code, SendCutSend). - Includes a CAD Viewer for local browser previews of CAD, G-code, and robot files.

Tool Positioning

AI Agent

Agent frameworks, autonomous workflows, and tool-use systems

Developer Tool

Tools that improve coding, testing, build, and local workflow

UI Framework

Frontend frameworks, design systems, and interface libraries

Quick Start
npx skills install earthtojake/text-to-cad
View on GitHub Project Homepage
Project Activity

80

Health Score

Active

Commit Activity

Apr 22, 2026

Created

Aug 5, 2026

Last push

Source Trail

GitHub repository metadata

metadata

GitHub README

readme_summary

Star History

+93

Today's growth

+1.1k

7-day growth

+2.9k

30-day growth

Jul 24, 2026Aug 6, 2026
Community Health
1.4k

Forks

14

Open

13k

Watchers

Owner
TC

earthtojake

GitHub profile
Topics & Language
JavaScriptagentsai-agentscadmechanical-engineeringroboticsstepstlstptext-to-cad
Ecosystem & Usage
GitHub Repository Project Website Search on npm
Alternatives & Comparison

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License
MIT
CreatedApr 22, 2026
Last pushAug 5, 2026
Last syncedAug 6, 2026
Repository Standards

✓

License

✓

Forked

✓ Active

Maintained

AI AnalysisAnalyzed by Git-Stars

Problem Solved

Traditional CAD and robotics design require manual, expert-driven workflows with steep learning curves. This framework solves the problem of translating high-level design intent into precise, manufacturable 3D models and robot descriptions by giving AI agents structured tools to create, edit, and validate STEP, STL, URDF, and G-code files directly from text or images.

Capabilities

Developers can build AI agents that design mechanical parts, generate robot kinematics and simulation models, slice models for 3D printing, and prepare files for online fabrication services like SendCutSend. Real-world use cases include rapid prototyping from sketches, automated generation of robot arms with MoveIt configuration, and end-to-end manufacturing pipelines from text prompt to printable G-code. The ceiling includes complex multi-part assemblies, full robot models with sensors and physics, and integration with local CAD viewers and printer APIs.

Bottom Line

This framework is ideal for makers, engineers, and robotics enthusiasts who want to accelerate hardware design with AI, but should be avoided for safety-critical applications without rigorous human review. The key trade-off is speed and accessibility versus the need for domain expertise to validate AI-generated designs.

Full AI Analysis