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Anticipation Payoff

Community
dylantarre
anticipation-payoff

Use when designing action sequences, gags, reveals, or any motion that needs setup before delivery—preparing audiences for what's coming and maximizing impact.

Overview

Publisherdylantarre
Repositoryanimation-principles
Skill nameanticipation-payoff
Stars
84
Forks
12
Bundled files
Instructions only
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.

  • Self-contained

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

  • Open source

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

Installation

Install the Anticipation Payoff 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.
  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/dylantarre/animation-principles.git /tmp/animation-principles
mkdir -p .claude/skills
cp -r /tmp/animation-principles/skills/02-by-thinking-style/anticipation-payoff .claude/skills/anticipation-payoff
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Anticipation Payoff 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 Anticipation Payoff 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 Anticipation Payoff 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.

Anticipation & Payoff

Think like a comedian setting up a punchline. Every great moment is earned by what came before. The windup is half the pitch.

Core Mental Model

Before animating any action, ask: What prepares the audience for this?

Anticipation isn't just physical preparation—it's a promise. You're telling the audience "something's coming" so they're primed to receive it. The payoff is keeping that promise with interest.

The 12 Principles Through Setup-Delivery

Anticipation — The principle itself. Before going right, go left. Before jumping up, crouch down. The opposite direction creates spring-loaded energy.

Timing — Setup needs time to register. Rush the anticipation and the payoff feels random. Hold it too long and tension deflates. Find the sweet spot.

Staging — Frame the anticipation so it's unmissable. The audience can't appreciate a payoff they weren't prepared for. Clear staging of setup = satisfying delivery.

Exaggeration — Push the anticipation to heighten payoff. A bigger windup = bigger impact. But match scales—extreme setup needs extreme delivery.

Follow Through & Overlapping Action — Payoff has aftermath. The action doesn't end at impact; it resolves through settling motion. Let consequences play out.

Secondary Action — Setup through supporting elements. Environment reacts to gathering energy. Other characters notice. Secondary actions can foreshadow the main event.

Slow In & Slow Out — Ease into anticipation (building tension), snap through the action (release), ease out of payoff (resolution). The rhythm of drama.

Squash & Stretch — Compression before extension. Squash is stored energy (setup). Stretch is released energy (payoff). Physical metaphor for narrative structure.

Arcs — Setup and payoff follow complementary arcs. The anticipation arc winds backward; the action arc springs forward. Together they form a complete gesture.

Appeal — Well-structured anticipation-payoff is inherently satisfying. Audiences love the rhythm of setup and delivery. It's why jokes work.

Straight Ahead & Pose to Pose — Plan your key moments: anticipation pose, action peak, payoff pose. Then connect them. Know your destination before you travel.

Solid Drawing — Maintain volume through the sequence. The same character in setup and payoff must read as the same mass. Consistency grounds the action.

Practical Application

Types of Anticipation:

  • Physical: Crouch before jump, pullback before throw
  • Emotional: Inhale before outburst, stillness before action
  • Environmental: Quiet before storm, calm before chaos
  • Comedic: Pause before punchline, look before double-take

Payoff Techniques:

  • Exceed expectation: Deliver more than the setup promised
  • Subvert expectation: Deliver something unexpected (comedy)
  • Delay gratification: Multiple anticipations before one big payoff
  • Instant release: Snap from full anticipation to peak action

When payoff feels "weak":

  1. Extend anticipation duration
  2. Increase anticipation magnitude
  3. Add secondary anticipation cues
  4. Sharpen the contrast between setup and action

When setup feels "telegraphed":

  1. Reduce anticipation duration
  2. Distract with secondary action
  3. Use environmental anticipation instead of character
  4. Let payoff extend beyond expectation

The Golden Rule

Every action is a tiny story: beginning, middle, end. Anticipation is "once upon a time," action is "and then," payoff is "the end." Skip any chapter and the story fails.

Frequently asked questions

What does the Anticipation Payoff AI skill do?

Use when designing action sequences, gags, reveals, or any motion that needs setup before delivery—preparing audiences for what's coming and maximizing impact.

Why use Anticipation Payoff on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/dylantarre/animation-principles/tree/main/skills/02-by-thinking-style/anticipation-payoff. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Anticipation Payoff?

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 Anticipation Payoff?

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

Is the Anticipation Payoff AI skill free?

Yes. It is published on GitHub by dylantarre 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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