| name | fal-prompting |
| description | Model-family-specific prompt craft for fal.ai endpoints. Trigger when the user mentions a specific model family by name and asks how to prompt it ("how do I prompt Kling", "GPT Image 2 prompt structure", "Happy Horse tips"), or when prompts to a routed endpoint keep coming back generic and the family's known nuances should be applied. For endpoint selection ("which model for X"), use `fal-models-catalog` instead. This skill is about how to talk to a model once it has been chosen.
|
fal.ai Prompting
Runtime: All endpoint calls run via the genmedia CLI. See the genmedia skill for command syntax; run genmedia init once if not yet installed.
Model families have meaningful prompting nuances. A prompt that works on GPT Image 2 (long, structured, exact text in quotes) will fail on Happy Horse (which wants ~20 plain-English words). This skill collects family-specific guides.
When to load which reference
| Reference | Load when |
|---|
| kling.md | Working with Kling video models (O3, v3), multi-prompt, element controls, Standard vs Pro tier |
| gpt-image-2.md | Working with openai/gpt-image-2 or /edit, structured prompts, EXACT TEXT, multi-image compositing |
| happy-horse.md | Working with alibaba/happy-horse/text-to-video or image-to-video, brevity-first, camera language |
Universal principles (all families)
- Visual facts beat prestige adjectives. Replace "stunning, cinematic, masterpiece" with "overcast daylight, brushed aluminum, 50mm feel."
- Style tags need visual targets. "Minimalist brutalist" → "cream background, heavy black sans serif, asymmetrical type block, generous negative space."
- One controlled variable per iteration. Comparison only works when one axis changes at a time.
- Inspect schema before assuming a control exists.
genmedia schema <endpoint_id> --json. Negative prompt, seed, multi-prompt, and reference-image fields differ across families.
- Per-family rules override universal advice. Happy Horse rejects what GPT Image 2 rewards.
Catalog cross-reference
For "which model do I use" questions, see fal-models-catalog:
