skills/ fal-ai-community/skills

fal-prompting

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 famil

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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

ReferenceLoad when
kling.mdWorking with Kling video models (O3, v3), multi-prompt, element controls, Standard vs Pro tier
gpt-image-2.mdWorking with openai/gpt-image-2 or /edit, structured prompts, EXACT TEXT, multi-image compositing
happy-horse.mdWorking with alibaba/happy-horse/text-to-video or image-to-video, brevity-first, camera language

Universal principles (all families)

  1. Visual facts beat prestige adjectives. Replace "stunning, cinematic, masterpiece" with "overcast daylight, brushed aluminum, 50mm feel."
  2. Style tags need visual targets. "Minimalist brutalist" → "cream background, heavy black sans serif, asymmetrical type block, generous negative space."
  3. One controlled variable per iteration. Comparison only works when one axis changes at a time.
  4. Inspect schema before assuming a control exists. genmedia schema <endpoint_id> --json. Negative prompt, seed, multi-prompt, and reference-image fields differ across families.
  5. 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:

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