How long does the integration take?

Change one base URL in an OpenAI-compatible client, or install the Python or TypeScript SDK; the quickstart routes a first request in a few minutes.

Will this lock us into another vendor?

No. The router is Apache-2.0 open source, your provider keys stay yours, and the API is OpenAI-compatible, so leaving is a change of base URL.

What happens when a provider fails?

The router falls back to the next model your policy allows and records the fallback in the trace, so an outage costs a retry, not an incident.

h3-prompt-writing - Skill - OpenSmartRoute

Name: h3-prompt-writing
Author: minimax-ai

Imported from minimax-ai/minimax-h3 (skills/h3-prompt-writing/SKILL.md) via skills.sh. Install upstream with npx skills add minimax-ai/minimax-h3 --skill h3-prompt-writing. Copyright stays with the author.

H3 Prompt Writing

Workflow

Identify the input mode: T2VA, I2VA, FL2VA, L2VA, or full-reference Ref2VA.
For base text/keyframe modes, read references/base-en.txt and follow its final prompt structure.
For full-reference mode, read references/ref-en.txt and follow its six-section rewrite format.
Preserve the exact field names, section order, labels, and timing notation from the selected guide.

Base Modes

T2VA: build the full audiovisual timeline from text.
I2VA: start from the first frame and develop forward from it.
FL2VA: describe the continuous path between the first and last frames.
L2VA: infer a plausible opening and converge to the supplied last frame.

Use integrated_multimodal_description, overall_soundscape, and non_diegetic_music in the order shown in references/base-en.txt.

Full-Reference Mode

Ref2VA rewrites use subject_definitions, summary, retention_analysis, detailed_description, overall_soundscape, and non_diegetic_music in that order. Reference labels stay consistent across all sections.

Read references/ref-en.txt for label rules, retention analysis, and complete examples.

Output Rules

Write rewrite sections in English; preserve dialogue, lyrics, and visible scene text in their original language.
Describe each shot by composition, subjects, environment, actions, camera, sound, and the exact point where referenced content appears.
Avoid plot summaries, unresolved reference labels, and timing that does not match the requested duration.

Tips for Better Results

Always match the total duration of the description to the requested video length (4–15 seconds).
Keep reference labels consistent (e.g. <Picture 1>, <Video 1>, <Audio 1>) across every section.
Prefer concrete visual and audio details over abstract words like "cinematic" or "beautiful".
When using keyframes (I2VA / FL2VA / L2VA), clearly state how the first and/or last frame connects to the timeline.

Install h3-prompt-writing and it becomes one more candidate the router can pick - when it fits.

A listing is a routing target with a manifest: what it does, which domains it covers, what it costs and who publishes it. Once installed it sits beside your own models and tools, is scored like any other candidate for each request, and shows up in the trace when it wins. Ratings come from workspaces that installed it, one per account.

{ "ocm": "1", "id": "minimax-ai-minimax-h3-h3-prompt-writing", "kind": "skill", "name": "h3-prompt-writing", "description": "Write MiniMax H3 video generation prompts for T2VA, I2VA, FL2VA, L2VA, and Ref2VA. Use when rewriting multimodal requests into H3 prompt structures, composing integrated_multimodal_description, overall_soundscape, and non_diegetic_music, aligning keyframes, or defining reference labels for images, videos, and audio.", "publisher": "minimax-ai", "version": "1.0.0", "capabilities": { "domains": [ "creative", "data_analysis" ], "tags": [ "skill-md", "skills-sh" ], "languages": [ "en" ] }, "quality_prior": 0.6, "examples": [ "Write MiniMax H3 video generation prompts for T2VA, I2VA, FL2VA, L2VA, and Ref2VA. Use when rewriting multimodal requests into H3 prompt structures, composing integrated_multimodal_description, overall_soundscape, and non_diegetic_music, aligning keyframes, or defining reference labels for images, videos, and audio." ], "primary": false, "metadata": { "source": { "provider": "skills.sh", "repository": "https://github.com/minimax-ai/minimax-h3", "path": "skills/h3-prompt-writing/SKILL.md", "ref": "HEAD", "url": "https://www.skills.sh/minimax-ai/minimax-h3/h3-prompt-writing", "key": "minimax-ai/minimax-h3/skills/h3-prompt-writing/SKILL.md" }, "compatibility": "Portable to any agent that can read local files — no external API calls, MiniMax Hub tools, or proprietary runtime required. The agents/openai.yaml file only adds optional ChatGPT/Codex UI metadata; i" }, "instructions": "# H3 Prompt Writing\n\n## Workflow\n\n1. Identify the input mode: T2VA, I2VA, FL2VA, L2VA, or full-reference Ref2VA.\n2. For base text/keyframe modes, read `references/base-en.txt` and follow its final prompt structure.\n3. For full-reference mode, read `references/ref-en.txt` and follow its six-section rewrite format.\n4. Preserve the exact field names, section order, labels, and timing notation from the selected guide.\n\n## Base Modes\n\n- T2VA: build the full audiovisual timeline from text.\n- I2VA: start from the first frame and develop forward from it.\n- FL2VA: describe the continuous path between t", "cost": { "context_tokens": 497 } }

h3-prompt-writing

About

H3 Prompt Writing

Workflow

Base Modes

Full-Reference Mode

Output Rules

Tips for Better Results

Install h3-prompt-writing and it becomes one more candidate the router can pick - when it fits.

What it costs to adopt - in engineering time.

One base URL

No vendor lock-in

Failover built in

Use it

Manifest

Reviews