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Direct Street Interview Video

Community
T8mars
direct-street-interview-video

Design natural vertical street-interview and walk-and-talk video prompts for MiniMax H3 or Seedance 2.0. Use when a user wants spontaneous documentary energy, a referenced recurring person, first-person handheld follow, concise dialogue, moving daylight, believable street parallax, or a consent-led interaction that must fit 4–15 seconds without unreachable beats.

Overview

PublisherT8mars
Repositoryminimax-h3-prompt-skill-T8
Skill namedirect-street-interview-video
Stars
303
Forks
28
Bundled files
6
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 6 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by T8mars on GitHub. Read the source before you install it.

Installation

Install the Direct Street Interview Video AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/T8mars/minimax-h3-prompt-skill-T8/tree/main/skills/direct-street-interview-video
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/T8mars/minimax-h3-prompt-skill-T8.git /tmp/minimax-h3-prompt-skill-T8
mkdir -p .claude/skills
cp -r /tmp/minimax-h3-prompt-skill-T8/skills/direct-street-interview-video .claude/skills/direct-street-interview-video
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Direct Street Interview Video in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Direct Street Interview Video on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Direct Street Interview Video is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Direct Street Interview Video

Create an original street interaction from a reusable documentary mechanism. This is a non-official, user-contributed Skill; it is not a MiniMax or ByteDance preset.

Required reading

  1. Read references/summary.md for style, fit, usage, and source limitations.
  2. Read references/template.md for invariants, variable slots, ablations, transfer tests, and repairs.
  3. Read the target model template before compiling:
  4. Consult references/source-analysis.md only when explaining why a repair exists. Do not reproduce its people, wardrobe, location, or dialogue.

Intake

Collect or infer only what is needed:

  • target model, task type, duration from 4 through 15 seconds, and aspect ratio;
  • the interaction goal, location, subject role, interviewer role, relationship, and ending;
  • every generation-time image or video and its narrow role;
  • exact approved dialogue, speaker order, and language;
  • whether physical contact is explicitly wanted and appropriate;
  • the one primary camera behavior, ambient sound, and any requested music or visible text.

Treat the analyzed demonstration video as research evidence, not as an automatic generation reference. Never fabricate a reference asset or dialogue.

Build the scene

  1. Start with one readable social premise: approach, recognition, question, demonstration, compliment, request, or compact reveal.
  2. Give the on-camera subject one stable visual identity. With reference media, bind two or three distinctive anchors and preserve wardrobe continuity.
  3. Use one continuous route unless a new shot is causally necessary. The default camera is first-person handheld backpedaling or side-walking at conversational distance.
  4. Make the relationship change visible through distance, gaze, pace, hand gesture, body angle, or a shared object. Do not substitute random camera motion for performance.
  5. Let the street move around the subject: foreground occlusion, background parallax, passing light and shadow, and small exposure adaptation.
  6. Keep dialogue subordinate to visible action. Allow each line to finish before the next speaker begins.
  7. End on a visible resolved state: permission granted, pose found, object shown, route chosen, reaction landed, or conversation naturally released.

Feasibility gate

  • Every timestamp or later beat must occur before the actual target duration.
  • For about 10 seconds, prefer two or three short spoken turns and one continuous event chain.
  • For about 15 seconds, prefer no more than four or five short turns unless speech is intentionally rapid and the user supplied it.
  • Remove a shot before compressing dialogue into unnatural speed.
  • Do not place a new setup exactly at the video endpoint.
  • Do not claim 4K, HDR, film stock, lens metadata, or platform provenance unless the user requested or supplied it.
  • Default to verbal or gestural positioning. Add touch only when the user explicitly wants it and the staging is consensual, motivated, and physically clear.

Compile for MiniMax H3

  • Select T2VA, I2VA, FL2VA, L2VA, or Ref2VA from the actual generation-time inputs.
  • Use the three-field Base structure when no reference relationship is needed.
  • Use the six-field Ref2VA structure when a supplied person, wardrobe, voice, scene, or movement reference must be tracked.
  • Write official-strict rewrite prose in English. Preserve approved dialogue only in <d>[Language]...</d> and identify speakers with (S1), (S2).
  • Start with [Shot 1] and no timestamp. Later shots use consecutive labels and increasing timestamps below the target duration.
  • Keep dialogue only in the detailed visual timeline; do not repeat it in the soundscape.

Compile for Seedance 2.0

  • Write in Chinese by default and choose a task from the actual inputs.
  • Use one compact paragraph for a continuous walk-and-talk; use consecutive 镜头N only when there is a real cut or event boundary.
  • Bind references as 角色A@图片1 or equivalent and give every asset one explicit role.
  • Put dialogue in {...}, physical sound in <...>, music in (...), and requested visible text in 【...】.
  • Do not use H3 fields, H3 labels, speaker IDs, or exact per-shot timestamps.

Validation

Before returning the result, verify:

  • duration, speech, and action are jointly feasible;
  • every asset reference resolves and every declared asset has a purpose;
  • the subject, wardrobe, environment, route, light direction, and hand/object state remain continuous;
  • camera motion follows the interaction and does not conflict with itself;
  • dialogue order, lip movement, ambience, and optional music do not duplicate or contradict each other;
  • the execution changes subject, place, wardrobe, dialogue, route, framing, and ending instead of copying the demonstration surface;
  • no paid generation, upload, ComfyUI import, or node modification is performed without a separate request.

Deliver

Return:

  1. one-sentence concept;
  2. task and asset-role map;
  3. a compact feasibility note;
  4. the MiniMax H3 prompt;
  5. the Seedance 2.0 prompt;
  6. a short continuity and anti-copy audit.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Direct Street Interview Video AI skill do?

Design natural vertical street-interview and walk-and-talk video prompts for MiniMax H3 or Seedance 2.0. Use when a user wants spontaneous documentary energy, a referenced recurring person, first-person handheld follow, concise dialogue, moving daylight, believable street parallax, or a consent-led interaction that must fit 4–15 seconds without unreachable beats.

Why use Direct Street Interview Video on TypingMind?

Because you install it once and use it with any model. Direct Street Interview Video is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Direct Street Interview Video in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/T8mars/minimax-h3-prompt-skill-T8/tree/main/skills/direct-street-interview-video. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Direct Street Interview Video?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Direct Street Interview Video?

As many as you like. As long as a model supports skills, you can use Direct Street Interview Video with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Direct Street Interview Video AI skill free?

Yes. It is published on GitHub by T8mars under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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