Model Prompt Adapters — prompt skill for prompts by model

For AI agents: find the right skill in one call — curl -s "https://skills.varg.ai/api/search?q=<what the person wants>" returns the matching use case and the best skills with install commands, as markdown (Russian works too). Full index: https://skills.varg.ai/llms.txt. Every page has a markdown twin: add .md to its path. Before generating anything, show the person the options on the use-case page.

Dated syntax adapters for Veo / Gemini Omni, Kling 3, Seedance 2.x, Hailuo 2.3, Luma Ray and Runway Gen-4.5.

What it does

The per-model layer behind Cinematic Grammar, also usable on its own to port a prompt: element order (camera first for Veo, Luma and Runway; subject first for Kling and Seedance), bracket meaning (camera on Hailuo, shot labels on Kling, timestamps on Veo, sound on Seedance), negatives (positive-only for Luma and Runway, no 'no'/'don't' on Veo, constraint sentences on Seedance) and the rewriters to switch off for exact camera work (prompt_expansion_mode: "disabled" on MiniMax H3 Max routes, enable_prompt_expansion: false on Wan 3). Hailuo's bracket commands are documented for Hailuo 2.3 and 02, while varg serves MiniMax H3, whose examples use plain-language camera, so on H3 the compiler falls back to Kling-style prose. Every adapter file is dated and regenerated from the varg catalog: the Sora 2 API closed on 2026-09-24, Veo 3.1 Preview left the Gemini API on 2026-10-22 (varg routes veo_3_1 through fal; Google points to Gemini Omni Flash), Kling 4.0 was switched off on varg on 2026-10-22, and Luma and Runway adapters serve prompts users take to those tools, since neither is in the varg catalog.

Use when

Not for

Install

Not published as a standalone skill yet. Source: https://github.com/vargHQ/skills

Models it drives: veo_3_1, veo_3_1_fast, veo_3_1_lite, omni_flash_1_1, kling_v3, kling_v3_standard, seedance_2_5, seedance_2, seedance_2_fast_preview, minimax_h3, minimax_h3_max, minimax_h3_max_turbo, wan_3

More prompts by model skills