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Talking Head Image Overlays

Community
mrpaidsocial
talking-head-image-overlays

Edit a talking-head video in the "uncut take + stacked image overlays" style: ONE continuous take that is never cut, with the entire sense of pace carried by hard-cut overlays landing on content nouns — a short serif title plate, found-footage rectangles above the eyeline, opaque full-frame skeleton-UI cards, raw prompt text on black, word-by-word karaoke captions, and a CTA banner that arrives early and never leaves. Use when someone says "edit this like that reel where images pop up while he talks", "add image overlays to my talking head", "make the cards that build themselves", "that style where a graphic appears on every keyword", "uncut talking head with graphics", or hands over a reference reel in this style. Also use to add a single act of it (just the cards, just the inserts) to existing footage. NOT for plain subtitles (embedded-captions), a banner + karaoke reel (reel-recut), unbranded overlay cards on untouched footage (talking-head-recut), or a fully branded motion-graphics ad (branded-ad-edit).

Overview

Publishermrpaidsocial
Repositorymrpaidsocial-video-editor-agent
Skill nametalking-head-image-overlays
Stars
114
Forks
34
Bundled files
4
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.

  • 4 bundled files

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

  • Open source

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

Installation

Install the Talking Head Image Overlays 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/mrpaidsocial/mrpaidsocial-video-editor-agent/tree/main/.claude/skills/talking-head-image-overlays
  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/mrpaidsocial/mrpaidsocial-video-editor-agent.git /tmp/mrpaidsocial-video-editor-agent
mkdir -p .claude/skills
cp -r /tmp/mrpaidsocial-video-editor-agent/.claude/skills/talking-head-image-overlays .claude/skills/talking-head-image-overlays
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Talking Head Image Overlays 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 Talking Head Image Overlays 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 Talking Head Image Overlays 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.

talking-head-image-overlays

A style where the footage is never cut and every visual change is a composite. One continuous talking-head take runs the whole video; overlays hard-cut in and out on the nouns the speaker says. Retention comes from information changing, not from shots changing.

Reverse-engineered by pixel measurement from a reference reel in this style and proven end to end on unrelated footage. The full measured spec is references/style-system.md; the build pipeline is references/method.md. This file is the map.

The four acts

Overlay structure is not uniform across the runtime. It moves through four acts, and getting the act boundaries right matters more than any single graphic.

ActShare of runtimeOverlay kindFace covered?
1 — Title platefirst ~3 %serif title + small pillno
2 — Found footagenext ~20 %recycled clips, memes, stillsno, parked above the eyeline
3 — Designed cardsthe body, ~65 %skeleton-UI cards, prompt-on-blackyes, completely
4 — CTAlast ~8 %one banner, nothing elseno

The serif face appears exactly twice — the opening plate and the closing banner. The top band is bare for everything in between. A persistent banner across the body is the single most common way to get this style wrong.

The five load-bearing rules

  1. Never cut the footage. Zero camera cuts. Everything is composited over one take. If you silence-cut the base to the bone you destroy the format.
  2. Hard-cut every container. Cards and images appear at full opacity in one frame. No fades, no scale-ins, no slides, ever, at container level. Interiors animate; containers never do.
  3. Land on the noun. A container cuts in within ±0.2 s of the onset of the word it depicts. Never on a function word.
  4. Empty skeletons, not real text. Every string inside a card is a grey bar. The card carries the shape of a system without asking anyone to read.
  5. Ship no audio assets. No music bed, no SFX — not even on overlay cuts. This is measured, not stylistic preference.

Pipeline

reference reel (optional) + talking-head footage
        │
        ▼
[1] deconstruct the reference  (only if one was given)
      ffmpeg forensics → contact sheets → parallel vision passes → style-system
      (reel-style-clone owns the general version of this; this skill's
       references/style-system.md IS the finished output for THIS style)
        │
        ▼
[2] base cut — the inverted-pacing step
      target ~15 % retained silence, median gap ~0.32 s, breaths left in.
      Cap each pause rather than removing it. See method.md §2.
        │
        ▼
[3] derive the overlay band FROM THIS FOOTAGE
      scripts/measure-face-band.py → cap-top and eye-line distributions
      → EYE_FLOOR and HEAD_FLOOR. Never copy the reference's y-values.
        │
        ▼
[4] storyboard against measured word onsets
      one card per concept noun; inserts on concrete nouns; CTA on the first
      outro verb (NOT on the keyword)
        │
        ▼
[5] build  (HyperFrames composition; see method.md §5 for the component kit)
        │
        ▼
[6] QA on the RENDERED file → master to -14.5 LUFS → deliver on a review canvas

The two decisions to raise before building

1. The cards cover the face. In the reference they are opaque and 80 % of frame in both axes — the speaker disappears for about a third of the runtime. If the creator has a no-face-covering rule, or a "no full-screen takeover" rule, this style conflicts with it head-on and you must get an explicit call. The fallback is Act 3 cards inset into the band above the eyeline, which costs most of the card's impact; say so rather than quietly shrinking them.

2. The reference has no face-avoidance logic at all. Its rects are absolutely positioned while the speaker moves, so the same rect clears the brow in one shot and cuts through the eyebrows in another. Do not reproduce that. Derive the floor from the minimum eye line across the whole take (step 3).

Costs and dependencies

  • ffmpeg/ffprobe, a word-level transcriber, and a HyperFrames toolchain.
  • No generation APIs are required. This style uses recycled footage, not generated B-roll — if you reach for a generation lane you have left the style.
  • If a reference reel is on a platform, the user must supply the file or their own authenticated session; anonymous downloads get a login wall.

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 Talking Head Image Overlays AI skill do?

Edit a talking-head video in the "uncut take + stacked image overlays" style: ONE continuous take that is never cut, with the entire sense of pace carried by hard-cut overlays landing on content nouns — a short serif title plate, found-footage rectangles above the eyeline, opaque full-frame skeleton-UI cards, raw prompt text on black, word-by-word karaoke captions, and a CTA banner that arrives early and never leaves. Use when someone says "edit this like that reel where images pop up while he talks", "add image overlays to my talking head", "make the cards that build themselves", "that sty...

Why use Talking Head Image Overlays on TypingMind?

Because you install it once and use it with any model. Talking Head Image Overlays 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 Talking Head Image Overlays in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/mrpaidsocial/mrpaidsocial-video-editor-agent/tree/main/.claude/skills/talking-head-image-overlays. 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 Talking Head Image Overlays?

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 Talking Head Image Overlays?

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

Is the Talking Head Image Overlays AI skill free?

It is published on GitHub by mrpaidsocial. 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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