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Film Breakdown

Community
machina-exm
film-breakdown

Build scene plans and shot cards from scripts or ideas.

Overview

Publishermachina-exm
Repositoryfilm-studio-skills
Skill namefilm-breakdown
Stars
156
Forks
25
Bundled files
Instructions only
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.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by machina-exm on GitHub. Read the source before you install it.

Installation

Install the Film Breakdown 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/machina-exm/film-studio-skills/tree/main/skills/film-breakdown
  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/machina-exm/film-studio-skills.git /tmp/film-studio-skills
mkdir -p .claude/skills
cp -r /tmp/film-studio-skills/skills/film-breakdown .claude/skills/film-breakdown
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Film Breakdown 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 Film Breakdown 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 Film Breakdown 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.

Film Breakdown

Turn a script, treatment, or one-paragraph idea into a scene list and production-ready shot cards.

Locate the studio

Work inside the current studio root. Use /docs/breakdown.md for the scene list and /prompts/ for shot-card files. If either path is missing, ask whether to create the needed folder or document. Ask one question at a time and wait for each answer.

Read the source

Accept any of these inputs:

  • a full script
  • a treatment
  • a one-paragraph idea

Preserve supplied dialogue verbatim. Do not fill story gaps with invented facts. If the input is incomplete, interrogate the user scene by scene. Ask only the next question needed to define the current scene, then wait. Finish the current scene before moving to the next one.

Build the scene list

Write the scene table in /docs/breakdown.md. Give every scene a stable scene ID. For each scene, record its summary, location, time of day, characters, props, shot-card file, and status. Keep asset tags and state variants exactly as supplied. Mark unresolved information plainly instead of guessing.

Create one shot-card file per scene

Create /prompts/scNN-shot-cards.md for each scene, using its stable scene number. Represent every shot through exactly three lanes and 22 fields. Do not add a fourth lane or merge fields.

Lane 1: identity

Use these nine fields in this order:

  1. Scene / shot ID
  2. Location
  3. Time of day
  4. Characters with asset tags and state variants
  5. Props
  6. Description
  7. Verbatim dialogue
  8. Running time
  9. Complexity

Lane 2: direction

Use these six fields in this order:

  1. Shot goal
  2. Task as a verb
  3. Dramaturgy
  4. Blocking
  5. Acting
  6. Style device

Lane 3: camera / edit

Use these seven fields in this order:

  1. Size
  2. Movement
  3. Lens
  4. Angle
  5. Cut type
  6. Pace
  7. Transition

The three lanes contain 9 + 6 + 7 fields: 22 total. Use a separate heading for each shot and a table for each lane. Keep the same field order in every shot.

Enforce clip boundaries

Give each clip one action only. Target 10–15 seconds per clip. If a card contains multiple actions, split it into separate shots. If a single action cannot fit the target duration, ask the user how to divide or simplify it.

Separate in-frame text

Remove signs, screens, titles, and other in-frame text from generation instructions. Create /docs/text-tasks.md if any such text exists. Record each text task with its scene / shot ID, exact required text, placement, and context. Leave a pointer in the shot card to the matching text task. Do not ask generation to render the text.

Validate the breakdown

Check that every scene row points to one shot-card file. Check that every shot has exactly the three lanes and all 22 fields. Check that every clip has one action and runs 10–15 seconds. Check that dialogue remains verbatim and all in-frame text is separated. List unresolved fields and continue asking about them one at a time.

Close the output

Summarize the files written and the scenes and shots created. End with this note: the prompt is written later from the card almost mechanically because the three column groups map one-to-one to prompt blocks.

Frequently asked questions

What does the Film Breakdown AI skill do?

Build scene plans and shot cards from scripts or ideas.

Why use Film Breakdown on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/machina-exm/film-studio-skills/tree/main/skills/film-breakdown. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Film Breakdown?

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 Film Breakdown?

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

Is the Film Breakdown AI skill free?

It is published on GitHub by machina-exm. 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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