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Scrollclaw First Frame

Community
TheMattBerman
scrollclaw-first-frame

Generate the canonical first frame with Nano Banana 2. Composition, character, environment, and color — all locked before animation. The visual design gate.

Overview

PublisherTheMattBerman
Repositoryscrollclaw
Skill namescrollclaw-first-frame
Stars
72
Forks
18
Bundled files
2
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.

  • 2 bundled files

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

  • Open source

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

Installation

Install the Scrollclaw First Frame 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/TheMattBerman/scrollclaw/tree/main/first-frame
  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/TheMattBerman/scrollclaw.git /tmp/scrollclaw
mkdir -p .claude/skills
cp -r /tmp/scrollclaw/first-frame .claude/skills/scrollclaw-first-frame
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Scrollclaw First Frame 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 Scrollclaw First Frame 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 Scrollclaw First Frame 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.

First Frame

The viewer's brain makes a stay-or-scroll decision in 3-5 seconds at the visual processing level — before conscious attention. By the time they've read the hook, the decision is already made.

Frame 1 is a visual design problem, not a copywriting problem. Read references/first-frame-psychology.md for emoji pattern interrupts, composition rules, and testing approach.

Prerequisites

  • Script approved (from /persona)
  • Creator profile exists in workspace/campaigns/<slug>/creators/ or workspace/creators/
  • Brand context loaded

Prompt Structure (Three Layers)

Read references/first-frame-prompting.md for the full system. This is what makes images look like phone photos instead of AI.

  1. Photorealism pre-prompt — "Raw iPhone 14 photo. Candid moment, unfiltered..." + realism rules + negative prompt (CGI, 3D render, perfect skin, cinematic color grading)
  2. Color reference JSON — extracted from a real reference photo, not described in text. See _system/references/color-reference-system.md.
  3. Scene description — creator identity + environment + expression + composition

Include "no text, no words, no letters, no writing" in negative prompt to prevent Sora from hallucinating text into the video.

Generation

bash
python3 scripts/generate-first-frame.py \
  --prompt-file workspace/campaigns/<slug>/frame1-prompt.txt \
  --output-file workspace/campaigns/<slug>/frames/frame1.png \
  --creator workspace/campaigns/<slug>/creators/creator-<name>.md \
  --log-file workspace/campaigns/<slug>/output-log.md \
  --aspect-ratio "9:16"

Multi-Frame Formats (Visual Reference Chaining)

For formats with multiple settings (podcast Dan, gym Dan, car Dan):

  1. Generate frame 1 FIRST (the canonical face)
  2. Review and approve frame 1
  3. ALL subsequent frames MUST use frame 1 as visual reference
  4. Do NOT generate frames in parallel from text descriptions alone — causes face drift
  5. For Visual Transformation (5-6 frames): generate sequentially, each referencing frame 1

Generate context-specific first frames — one per setting. But always chain from the canonical face. Don't feed a podcast frame into gym B-roll.

Iteration

Iterate on frame 1 more than anything else. Expect 2-4 attempts before it passes.

Quality checks:

  • Does it look like a phone photo or an AI render?
  • Is the creator believable (not model-pretty)?
  • Is there real-world clutter in the environment?
  • Does the color match the reference JSON?
  • Is skin texture visible (pores, not porcelain)?

Once frame 1 is locked, the rest chain from it.

Brand Memory Integration

Reads

FilePurpose
workspace/campaigns/<slug>/creators/creator-<name>.mdCreator identity — face, hair, build, wardrobe, energy
workspace/creators/creator-<name>.mdGlobal creator profile (fallback if no campaign override exists)
workspace/campaigns/<slug>/scripts/<format>-script.mdWhich scene/setting the first frame needs to establish
workspace/campaigns/<slug>/brief.mdBrand context, color cues, environment direction

Writes

FileNotes
workspace/campaigns/<slug>/frames/frame1.pngCanonical face — referenced by all subsequent frames and animation
workspace/campaigns/<slug>/frames/environment-frame.pngContext-specific frames for multi-setting formats
workspace/campaigns/<slug>/output-log.mdPrompt params, model version, generation time (append-only)

Context loading

🖼️ First Frame context loaded:
  ✓ Creator: Maya (workspace/campaigns/ridge-q1/creators/creator-maya.md)
  ✓ Script: talking-head (workspace/campaigns/ridge-q1/scripts/talking-head-script.md)
  ✓ Campaign: ridge-q1

Contract

Input

  • Required: approved script plus a creator profile
  • Optional: campaign brief, color reference inputs, global creator fallback profile
  • Format: workspace markdown files plus prompt text
  • Source: /persona, workspace/campaigns/<slug>/brief.md, and _system/references/color-reference-system.md

Output

  • Produces: one canonical face image and any context-specific environment frames needed for the format
  • Format: PNG files in workspace/campaigns/<slug>/frames/ plus prompt log entries in output-log.md
  • Default behavior: generate frame1.png first, stop for review, then chain any additional frames from it
  • Downstream use: /animate and /b-roll

Validation

  • Pre-conditions: script is approved, creator profile exists, and the target setting is clear enough to visualize
  • Post-conditions: frame looks like a phone photo, preserves creator identity, and is strong enough to chain into later generations
  • Failure checks: reroll or revise if the image looks like an AI render, the identity drifts, or the scene lacks believable real-world clutter

Output

  • Canonical first frame image (PNG) in workspace/campaigns/<slug>/frames/
  • Context-specific frames for multi-setting formats in workspace/campaigns/<slug>/frames/
  • Prompt params logged to workspace/campaigns/<slug>/output-log.md

Next Step

Frame 1 approved → run /animate for A-roll or /b-roll for environment shots.

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 Scrollclaw First Frame AI skill do?

Generate the canonical first frame with Nano Banana 2. Composition, character, environment, and color — all locked before animation. The visual design gate.

Why use Scrollclaw First Frame on TypingMind?

Because you install it once and use it with any model. Scrollclaw First Frame 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 Scrollclaw First Frame in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/TheMattBerman/scrollclaw/tree/main/first-frame. 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 Scrollclaw First Frame?

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 Scrollclaw First Frame?

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

Is the Scrollclaw First Frame AI skill free?

Yes. It is published on GitHub by TheMattBerman 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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