Storytelling logo

Storytelling

Organization
fal-ai-community
storytelling

Build multi-shot narrative image, video, and audio workflows with genmedia. Use this for storyboards, shot lists, multi-prompt video, first-frame to last-frame pipelines, social stories, brand films, and sequence continuity.

Overview

Publisherfal-ai-community
Repositoryskills
Skill namestorytelling
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 Storytelling 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/storytelling
  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/storytelling .claude/skills/storytelling
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Storytelling 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 Storytelling 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 Storytelling 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.

Storytelling with genmedia

Use this skill when the user wants a sequence, not a single asset. Load references as needed:

  • references/shot-planning.md
  • references/workflows.md
  • references/examples.md

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

The goal is to produce clear story beats and executable genmedia runs. Avoid generic inspiration copy, fake dialogue, and em dashes.

Inputs to collect

Ask only when missing information affects execution.

  • Format: ad, short film, music video, documentary, tutorial, social story.
  • Duration and aspect ratio.
  • Number of shots or allowed range.
  • Main subject, character, product, or location.
  • Continuity anchors: character, product, wardrobe, environment, color.
  • Source media: first frame, reference image, product shot, audio track.
  • Audio needs: narration, music, sound design, transcript, no audio.
  • Preferred model or model family, if the user wants to decide quality, cost, speed, audio, or multi-shot tradeoffs.

Genmedia workflow

  1. Start from routed endpoint IDs.

    bash
    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 bytedance/seedance-2.0/reference-to-video --json
    genmedia models --endpoint_id fal-ai/kling-video/v3/pro/text-to-video --json
    genmedia models --endpoint_id alibaba/happy-horse/text-to-video --json
    genmedia models --endpoint_id veed/fabric-1.0 --json

    Use text search only as fallback discovery for an unsupported sequence control:

    bash
    genmedia models "first frame last frame video generation" --json
    genmedia docs "multi shot video generation" --json
  2. Inspect schema before planning exact payloads.

    bash
    genmedia schema <endpoint_id> --json
    genmedia pricing <endpoint_id> --json
  3. Upload references.

    bash
    genmedia upload ./first-frame.png --json
    genmedia upload ./character.png --json
    genmedia upload ./product.png --json
    genmedia upload ./voiceover.wav --json
  4. Choose the sequence route.

    • Highest quality video: start with Seedance 2.0 endpoints from model-routing.
    • Native multi-prompt: use if schema has shot arrays, prompt lists, or timeline fields.
    • First/last frame: use for controlled transitions between key frames.
    • Image-to-video per shot: use for maximum continuity from approved stills.
    • Manual per-shot generation: use when the model only supports one prompt.
    • Audio-first: generate or upload audio, then plan visual shot lengths.
    • Lip-sync or talking avatar: use Fabric 1.0 or Creatify Aurora from model-routing.
  5. Run long jobs async and download every result with a unique template.

    bash
    genmedia run <endpoint_id> \
      --prompt "<shot or sequence prompt>" \
      --async \
      --json
    
    genmedia status <endpoint_id> <request_id> \
      --download "./outputs/story/{request_id}_{index}.{ext}" \
      --json
  6. Return a shot table with endpoint, request id, prompt summary, local path, and any continuity issues. Genmedia downloads clips; it does not replace a timeline editor unless the chosen model returns a complete stitched video.

Shot planning

Plan every sequence as beats first:

  1. Hook: immediate visual reason to keep watching.
  2. Setup: who, what, where, and why it matters.
  3. Development: movement, discovery, proof, or escalation.
  4. Turn: reveal, transformation, result, or emotional change.
  5. Close: final image, product memory, CTA-safe frame, or unresolved mood.

For each shot, write:

  • Shot number and duration.
  • Story purpose.
  • Visual prompt.
  • Continuity anchor.
  • Input reference, if any.
  • Genmedia endpoint.
  • Expected output path.

Prompt build order

Use this structure for each shot:

text
SHOT [number], [duration]:
[story purpose]. [subject and action]. [location and time]. [camera framing].
[camera movement]. [lighting and color]. [continuity anchor]. [transition or
relationship to previous shot].

Keep one shot to one clear action unless the selected model supports multi-shot or timeline prompting.

Model routing

  • Highest quality video: bytedance/seedance-2.0/text-to-video, bytedance/seedance-2.0/image-to-video, or bytedance/seedance-2.0/reference-to-video.
  • Fast or lower-cost video: xai/grok-imagine-video/text-to-video or xai/grok-imagine-video/image-to-video.
  • Multi-shot sequence: Seedance 2.0 first, then fal-ai/kling-video/v3/pro/text-to-video, then fal-ai/kling-video/v3/pro/image-to-video, then alibaba/happy-horse/text-to-video or alibaba/happy-horse/image-to-video.
  • Text-heavy keyframes, boards, UI frames, posters, or infographics: openai/gpt-image-2 at quality=high.
  • Talking avatar, native audio, or lip-sync: veed/fabric-1.0, veed/fabric-1.0/text, or fal-ai/creatify/aurora.

Quality bar

Before returning:

  • Shot order has a clear narrative function.
  • The first shot is strong enough for the platform.
  • Continuity anchors are repeated without bloating every prompt.
  • Camera motion is varied but not random.
  • Durations add up to the requested runtime.
  • Async request IDs and downloaded files are recorded.
  • The model's actual schema, not assumptions, drove the final command.

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 Storytelling AI skill do?

Build multi-shot narrative image, video, and audio workflows with genmedia. Use this for storyboards, shot lists, multi-prompt video, first-frame to last-frame pipelines, social stories, brand films, and sequence continuity.

Why use Storytelling on TypingMind?

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

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

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 Storytelling?

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

Is the Storytelling 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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