mcpbeat

Fal Train

nexu-io/fal-train

| Train custom AI models (LoRA) on fal.ai for personalized image generation tailored to a brand, character, or style.

292 tokens
context cost
the whole folder, loaded on every use
1
files
instructions only
0
copies elsewhere
how many repositories repackaged it
83386
stars on the repo
on the repository, not the skill itself

Install

one command, takes just this skill from the repository
npx skills add https://github.com/nexu-io/open-design --skill fal-train

The instruction itself

4 sections, as written by the author

fal-train

> Curated from the fal.ai community team.

What it does

Train custom AI models (LoRA) on fal.ai for personalized image generation tailored to a brand, character, or style.

Source

  • Upstream: https://github.com/fal-ai-community/skills
  • Category: image-generation

How to use

This catalogue entry advertises the skill in Open Design so the agent

discovers it during planning. To run the full upstream workflow with

its original assets, scripts, and references, install the upstream

bundle into your active agent's skills directory:

# Inspect the upstream README for exact paths
open https://github.com/fal-ai-community/skills

Then ask the agent to invoke this skill by name (fal-train) or with

one of the trigger phrases listed in this skill's frontmatter.

How to use it

Copy the folder

Take nexu-io/fal-train from the repository into ~/.claude/skills for personal use, or into .claude/skills inside a project.

Check the name does not clash

The agent identifies a skill by the name field in its header. Two skills with the same name cannot sit side by side — one of them will be ignored.