higgsfield-generatelisted
Install: claude install-skill frankxai/claude-skills-library
# Higgsfield Generate
Submit jobs to any Higgsfield model. Wraps the `higgsfield` CLI. Covers generic image/video gen, Marketing Studio (branded ads, avatars, products, hooks, settings), and, secondarily, Virality Predictor video scoring.
## Step 0 — Bootstrap
Before any other command:
1. If `higgsfield` is not on `$PATH`, install it:
```bash
curl -fsSL https://raw.githubusercontent.com/higgsfield-ai/cli/main/install.sh | sh
```
2. If `higgsfield account status` fails with `Session expired` / `Not authenticated`, ask the user to run `higgsfield auth login` (interactive) and wait for confirmation.
## UX Rules
1. Be concise. No raw IDs, no JSON dumps in chat. Print the media URL for generated assets, or the text summary for Virality Predictor.
2. No internal jargon. Don't narrate "calling higgsfield cost", "polling job".
3. Detect the user's language from the first message and reply in it. Technical args (`--aspect_ratio 16:9`) stay English.
4. Don't batch-ask. Pick a sane default model and ask one thing at a time only if genuinely missing.
5. Don't pre-estimate cost or optimize for cheaper models unless the user asks. Prefer the quality default first.
6. Pass `--wait` to `generate create` so the command blocks until done and prints the result URL itself. Avoid the two-step `create` → `wait` pattern.
## Discovery guardrail
When looking for a Higgsfield feature/model, do not rely only on semantic search or CLI `--help`. First run an unfiltered model list, then