Agent skill · AI agents · huggingface

huggingface-lora-space-builder agent skill by huggingface

Builds and publishes a Gradio demo on Hugging Face Spaces for a user-provided LoRA, including the base pipeline and a task-specific UI.

View on GitHub Read SKILL.md

At a glance

Publisher	Hugging Face Official
Repository	huggingface/skills (24 listed skills)
Category	AI Agents and LLM Engineering
License	Apache-2.0
Last commit	October 8, 2026 (repository)
SKILL.md	389 lines, 4,873 words
Bundled files	8 files, including references
Quality score	75/100 · C Passes all seven graded checks
Security scan	Not scanned
README badge	Get the listing badge and raise the score

Before you install

Read from the skill's files at the directory's October 19, 2026 snapshot: what ships with it, what its code reads, and the terms it is published under.

Bundled scripts: none.
Credential names SKILL.md mentions: HF_TOKEN.
License: Apache-2.0, an open-source or open-content license.

Install huggingface-lora-space-builder

The skills CLI works with Claude Code, Codex, Cursor and other agents; the other routes copy the folder by hand.

Skills CLI

npx skills add https://github.com/huggingface/skills/tree/main/skills/huggingface-lora-space-builder

Claude Code, project-level copy

tmp="$(mktemp -d)"
git clone --depth 1 https://github.com/huggingface/skills.git "$tmp/repo"
mkdir -p .claude/skills
cp -R "$tmp/repo/"skills/huggingface-lora-space-builder .claude/skills/
rm -rf "$tmp"

Codex installer

python3 ~/.codex/skills/.system/skill-installer/scripts/install-skill-from-github.py \
    --repo huggingface/skills \
    --path skills/huggingface-lora-space-builder

huggingface/skills is third-party code. Read SKILL.md and any bundled scripts before you install it.

How the author describes it

Build and publish a Gradio demo on Hugging Face Spaces for a user-provided LoRA. Use when someone asks to create, generate, ship, or publish a Space, demo, Gradio app, or playground for a LoRA — including LoRAs for Qwen-Image, Qwen-Image-Edit, LTX-Video, Wan, FLUX, SDXL, or other diffusion base models. Also triggers when someone describes a LoRA they trained or hosts on the Hub and wants to share it. Covers picking the right base pipeline and `diffusers` inference recipe, designing a UI tailored to the LoRA's task and inputs (Union/multi-task control, edit, video, image, etc.), respecting model-card recommendations (trigger words, steps, guidance, LoRA scale, example inputs), and shipping to ZeroGPU hardware as a private Space by default.

From the description field of SKILL.md. Agents read this line to decide when to load the skill.

Sections in SKILL.md

What "good" looks like for these demos
Workflow
Phase 1 — Gather LoRA info
Phase 2 — Pick the base pipeline
Phase 3 — Design the UI for this LoRA
Phase 4 — Write the Space files
app.py
requirements.txt
README.md
Single batched approval — order of operations matters
Phase 5 — Publish the Space
Phase 6 — Smoke-test the Space
What to avoid

Files in the skill folder

SKILL.md
references/adapting-to-the-lora.md
references/base-models/krea-2.md
references/base-models/ltx.md
references/base-models/qwen-image.md
references/creative-mode.md
references/tasks.md
references/zerogpu-and-publishing.md

Suede Skill Check: 75/100 · C

Report snapshot · October 19, 2026 · graded-v2

The rubric totals 100 points; published scores are capped at 99. Security scan: not scanned.

Source revision: c3ff942be3e0. Report version 0f97d9b680ad. Badge URLs follow the latest listing; save the report to keep this version.

Download report · Request a fresh review

What to review next

Instruction depth: 1 of 7 points. 7 for a SKILL.md body of 500–3,000 words; 4 for 250–4,500; 1 for 100 or more.
Boundary clause: 0 of 4 points. 4 when the description says when not to use the skill (“Not for …”, “Do not use …”, “Use … instead”).
Example request: 0 of 3 points. 3 when the description quotes an example request (3–60 characters in quotation marks).

Add declarations and bundled files when they describe the skill’s actual needs. Update the source, then request a fresh review with the changed commit or PR.

huggingface-lora-space-builder passes the required frontmatter check and all seven graded checks, which cover the SKILL.md format, a declared license and a commit in the last year. Those checks earn 56 of the score’s points; the rest come from description quality, instruction depth, bundled files, maintenance and curated-list citations. How the score works.

See the checks and points

Check	Result
Frontmatter parses and declares a name and a description	Pass
Name uses lowercase letters, digits and hyphens, 64 characters or fewer	Pass
Name matches the skill's folder name	Pass
Description is between 50 and 1,024 characters	Pass
Description says when an agent should use the skill	Pass
SKILL.md body is 500 lines or fewer	Pass
A license is declared in the frontmatter or the repository	Pass
Repository has a commit in the last 12 months	Pass

Score component	Points
Structural checks	56 of 56
Description length	3 of 5
Boundary clause	0 of 4
Example request	0 of 3
Instruction depth	1 of 7
Reference files	3 of 3
Bundled scripts	0 of 2
Recent maintenance	9 of 9
Curated-list citations	3 of 7
Tool permissions declared	0 of 2
Compatibility declared	0 of 2

Show the listing and raise the score

huggingface-lora-space-builder is listed with 75/100 · C. This badge links to its Suede listing. Skills scoring 80–99 add a numeric and a letter quality shield; the largest open points for huggingface-lora-space-builder are instruction depth (6), boundary clause (4) and example request (3). Send your repository and the points you want to raise, then request a fresh review after updating the skill.

Markdown

[![Suede Skills Directory: listed](https://skills.suedeai.ai/directory/badge.svg)](https://skills.suedeai.ai/directory/huggingface/skills/huggingface-lora-space-builder/)

HTML

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