Skip to content
dfam-check

Self-hosted alternatives to dfam-check

5 self-hosted AI Skills apps to use instead, best rated first.

Top picks

  1. C

    claude-to-deerflow

    Get

    claude-to-deerflow is an agent skill that lets an assistant send messages and questions to a running DeerFlow instance through its HTTP API. DeerFlow is an AI agent platform built on LangGraph that orchestrates sub-agents for research, code

    Self-hosted

  2. O

    open-notebook

    Get

    open-notebook is an agent skill for organising research with Open Notebook, a self-hosted alternative to NotebookLM. It arranges sources, notes and AI conversations into research notebooks. Sources can be PDFs, web pages, audio, video and O

    Self-hosted

  3. R

    Reactive Resume

    Get

    Reactive Resume is a free and open-source resume builder for writing resumes and cover letters, checking the work, and tracking job applications. You create a free account, import an existing resume or start from scratch, and see the finish

    Open sourceSelf-hosted

  4. S

    self-hosted-funnel-launch

    Get

    Self-hosted funnel launch is an agent skill that takes a funnel from an empty install to published on infrastructure you control, using the Autonnel funnel builder, which is licensed Apache-2.0. The result covers a landing page, checkout, a

    Self-hosted

  5. G

    get-convex/convex-backend

    Get

    Convex is an open-source reactive database for web app developers. It combines a database, a place to write server functions in pure TypeScript, and client libraries that keep the app's data live, so screens update as the data changes. Beca

    Self-hosted

About dfam-check

D

dfam-check

Measure mesh files against Design for Additive Manufacturing

DfAM check is an agent skill that produces conservative, evidence-backed reports on whether a mesh file is ready for additive manufacturing, meaning 3D printing. It checks a file against the Design for Additive Manufacturing rules for each process it covers: FDM, SLS, SLA or DLP, metal powder bed fusion and MJF. The skill measures the geometry locally, using a script in the project's Python environment, and then compares those measurements against per-process design limits. It never slices a model, uploads it, or starts a print job. The measuring tool is fact-only and reports numbers, while the verdicts are written by the skill's workflow. The skill tells the agent not to estimate wall thickness, overhang angles or support volume by eye or from renders when the tool can measure them. It is useful for designers who want a printability check before they send a file to a slicer or a print service. It is published by earthtojake on skills.sh under the text-to-cad repository, with about 3.3K installs. The skills.sh listing shows Gen Agent Trust Hub, Socket and Snyk all passing.

Price
Free
Made by
earthtojake
Category
AI Skills
Website
github.com/earthtojake/text-to-cad/dfam-check