Cinematography logo

Cinematography

Organization
fal-ai-community
cinematography

Design cinematic image and video prompts for genmedia. Use this for shot language, camera movement, lighting, lens choices, color grade, film texture, scene blocking, and production-ready visual direction.

Overview

Publisherfal-ai-community
Repositoryskills
Skill namecinematography
Stars
255
Forks
35
Bundled files
3
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.

  • 3 bundled files

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

  • Open source

    Published by fal-ai-community on GitHub. Read the source before you install it.

Installation

Install the Cinematography 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/fal-ai-community/skills/tree/main/skills/cinematography
  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/fal-ai-community/skills.git /tmp/skills
mkdir -p .claude/skills
cp -r /tmp/skills/skills/cinematography .claude/skills/cinematography
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Cinematography 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 Cinematography 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 Cinematography 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.

Cinematography with genmedia

Use this skill when the user needs cinematic direction, not generic "make it cinematic" prompting. Load references as needed:

  • references/shot-language.md
  • references/lighting-lens-color.md
  • references/examples.md

Load model-routing alongside this skill for default endpoint choices.

Write concrete visual direction. Avoid empty prestige words and em dashes.

Inputs to collect

Ask only for what affects the shot:

  • Subject and action.
  • Medium: still image, video, image-to-video, edit, storyboard frame.
  • Genre and mood.
  • Framing: close-up, medium, wide, overhead, POV, profile, locked-off.
  • Camera motion for video: push-in, dolly, tracking, handheld, crane, drone.
  • Lens feel: wide, normal, telephoto, macro, shallow or deep focus.
  • Lighting: natural, practical, studio, noir, high key, low key, backlit.
  • Output: aspect ratio, duration, first frame, last frame, download path.
  • Preferred model, if the user wants a specific cinematography model or quality/cost profile.

Genmedia workflow

  1. Start from routed endpoint IDs.

    bash
    genmedia models --endpoint_id openai/gpt-image-2 --json
    genmedia models --endpoint_id fal-ai/nano-banana-pro --json
    genmedia models --endpoint_id bytedance/seedance-2.0/text-to-video --json
    genmedia models --endpoint_id bytedance/seedance-2.0/image-to-video --json
    genmedia models --endpoint_id xai/grok-imagine-video/text-to-video --json

    Use text search only as fallback discovery for a missing camera-control role:

    bash
    genmedia models "cinematic video generation camera movement" --json
    genmedia docs "video generation camera movement prompt" --json
  2. Inspect schema and use only supported controls.

    bash
    genmedia schema <endpoint_id> --json
    genmedia pricing <endpoint_id> --json
  3. Upload references when using image-to-video, first frame, last frame, style reference, or character/product continuity.

    bash
    genmedia upload ./frame.png --json
  4. Run stills with direct download.

    bash
    genmedia run <endpoint_id> \
      --prompt "<cinematography prompt>" \
      --download "./outputs/cinema/{request_id}_{index}.{ext}" \
      --json
  5. Run video async.

    bash
    genmedia run <endpoint_id> \
      --prompt "<shot prompt>" \
      --image_url "<uploaded frame if supported>" \
      --async \
      --json
    
    genmedia status <endpoint_id> <request_id> \
      --download "./outputs/cinema/{request_id}_{index}.{ext}" \
      --json

Prompt build order

Use the SCLCAM structure:

  1. Subject: who or what is in frame.
  2. Context: location, time, weather, story moment.
  3. Lens/framing: distance, angle, focal length feel, depth of field.
  4. Camera motion: only for video or if motion blur is desired.
  5. Atmosphere: haze, rain, practicals, reflections, texture.
  6. Mood/color: palette, contrast, grade, exposure style.
  7. Output controls: aspect ratio, duration, first-frame continuity.

Example structure:

text
[subject] in [context], framed as [shot size and angle], [lens feel],
[lighting setup], [camera movement if video], [color grade], [texture],
[duration or aspect ratio], [continuity constraints]

Model routing

  • Premium realistic still: use openai/gpt-image-2.
  • Premium stylized still: use openai/gpt-image-2, then fal-ai/nano-banana-pro, then fal-ai/nano-banana-2.
  • Fast draft still: use fal-ai/flux-2/klein/9b.
  • Highest quality video: use bytedance/seedance-2.0/text-to-video or bytedance/seedance-2.0/image-to-video.
  • Motion from a strong frame: use bytedance/seedance-2.0/image-to-video.
  • Fast or lower-cost video: use xai/grok-imagine-video/text-to-video or xai/grok-imagine-video/image-to-video.
  • Complex camera language: inspect Seedance 2.0 first, then Kling v3 when multi-prompt or element controls matter.
  • Story sequence: use the storytelling skill with this skill as shot-language support.
  • Character or product continuity: use the relevant domain skill first, then apply cinematography as the variable block.

Quality bar

Before returning, check:

  • Camera movement is physically plausible for the scene.
  • Lens, shot size, and camera angle do not contradict each other.
  • Lighting direction is clear and consistent.
  • Color grade supports the mood without flattening subject detail.
  • Video prompt describes one shot unless the selected model supports multiple prompts or shot lists.
  • Downloaded files come from downloaded_files[].

If a result looks generic, improve specificity in camera, blocking, light, and environment before adding more adjectives.

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 Cinematography AI skill do?

Design cinematic image and video prompts for genmedia. Use this for shot language, camera movement, lighting, lens choices, color grade, film texture, scene blocking, and production-ready visual direction.

Why use Cinematography on TypingMind?

Because you install it once and use it with any model. Cinematography 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 Cinematography in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/fal-ai-community/skills/tree/main/skills/cinematography. 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 Cinematography?

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 Cinematography?

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

Is the Cinematography AI skill free?

It is published on GitHub by fal-ai-community. Check the repository for licensing terms. 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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