Skip to content
store
mle-workflow

Self-hosted alternatives to mle-workflow

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

Top picks

  1. C

    claude-to-deerflow

    Launch

    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

    Launch

    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

    Launch

    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

    Launch

    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

    Launch

    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 mle-workflow

M

mle-workflow

Production machine-learning engineering workflow for data contracts

mle-workflow is an agent skill from the ECC collection by affaan-m, listed on skills.sh. It turns model work into a production machine learning system with clear data contracts, repeatable training, measurable quality gates, deployable artifacts and operational monitoring. It covers planning or reviewing a production ML feature such as a ranking system, recommender, classifier, embedding workflow or forecasting pipeline, turning notebook code into reusable training, evaluation, batch and online inference pipelines, and designing promotion criteria, offline and online evaluation, experiment tracking and rollback paths. It also helps debug failures from data drift, label leakage, stale features, artifact mismatch and inconsistent training and serving logic, and it adds monitoring, canary rollout, shadow traffic and post-deploy checks. The listing stresses that the agent should use only the parts that fit the system in front of it, since the same architecture does not suit every kind of model. A skill is a SKILL.md file of instructions that an AI agent loads when a task calls for it. It is free and open source, and the skills.sh listing shows all three security audits passing.

View mle-workflowAll AI Skills apps
Price
Free
Made by
affaan-m
Category
AI Skills
Website
github.com/affaan-m/ecc/mle-workflow