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geniml

Self-hosted alternatives to geniml

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 geniml

G

geniml

Supports audited local Geniml genomic-interval workflows: validate BED

geniml is an agent skill for machine learning and statistical work on genomic interval sets, using the Geniml library. It treats coordinates, genome assemblies, token vocabularies, model artefacts and sample grouping as explicit contracts. The skill's bundled scripts validate inputs and plan runs, but they do not import Geniml, contact any service, deserialise models or run training. Typical tasks include validating BED files and universe contracts, planning Region2Vec or scEmbed runs, and inspecting model and tokeniser files. The skill is careful about commands. Bash is declared only for explicit, user-approved uv, Python, Geniml, Gtars, Git and native command-line steps shown in its guide. Example paths under the data, refs, work and models folders are placeholders for your own project, not files that ship with the skill. The skill records a verified release snapshot, so you can see which versions its examples were checked against. It is part of the k-dense-ai scientific agent skills repository on GitHub, which has about 49,600 stars. The listing shows it as free, and it has about 1,800 installs. Its security audits show passes from Gen Agent Trust Hub, Socket and Snyk.

Price
Free
Made by
k-dense-ai
Category
AI Skills
Website
github.com/k-dense-ai/scientific-agent-skills/geniml