Fal Train Agent Skill
| Train custom AI models (LoRA) on fal.ai for personalized image generation tailored to a brand, character, or style.
Install
one command, takes just this skill from the repositorynpx skills add https://github.com/nexu-io/open-design --skill fal-trainThe instruction itself
4 sections, as written by the authorfal-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.
Other skills for the same job
different authors, same section of the catalogue
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Lightweight WSI tile extraction and preprocessing. Use for basic slide processing, tissue detection, tile extraction, and stain normalization for H&E images. Best for simple pipelines, dataset preparation, and quick tile-based analysis. For advanced spatial proteomics, multiplexed imaging, or deep learning pipelines use pathml.
How to use it
Take nexu-io/fal-train from the repository into ~/.claude/skills for personal
use, or into .claude/skills inside a project.
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.