Model-family-specific prompt craft for model 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 `model-catalog` instead. This skill is about how to talk to a model once it has been chosen.
Installation
Install with Codex or Claude Copy this prompt, paste it into Codex, Claude, or another assistant, and let it review the skill page and install it for you.
Model-family-specific prompt craft for model 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 `model-catalog` instead. This skill is about how to talk to a model once it has been chosen.
Model Prompting
Runtime: All endpoint calls use the vg generate CLI (npm install -g vibedgames, or pnpm dogfood in this repo). The API key lives on the vibedgames server, so there is no per-machine setup. See the generate skill for the command reference.
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.
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.vg generate schema <endpoint_id> --json. Negative prompt, seed, multi-prompt, and reference-image fields differ across families.
