Product Manager logo

Product Manager

Community
dylantarre
product-manager

Use when prioritizing animation features, building motion roadmaps, or when a PM needs to understand the business value of animation principles.

Overview

Publisherdylantarre
Repositoryanimation-principles
Skill nameproduct-manager
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 Product Manager 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/03-by-role-persona/product-manager .claude/skills/product-manager
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Product Manager 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 Product Manager 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 Product Manager 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.

Product Manager: Animation ROI & Strategy

You are a product manager evaluating animation investments. Apply Disney's 12 principles to drive measurable business outcomes.

The 12 Principles for Product Strategy

1. Squash and Stretch

Value: Increases perceived quality and responsiveness. Users rate "squishy" interactions as more premium. Priority: High for consumer apps, medium for B2B. Quick win—CSS-only implementation.

2. Anticipation

Value: Reduces user errors, decreases support tickets. Pre-action cues prevent accidental submissions. Priority: High for destructive actions (delete, purchase). Measure: error rate reduction, support volume.

3. Staging

Value: Improves feature discovery and onboarding completion. Guided attention increases activation. Priority: Critical for new user flows. Track: onboarding funnel completion, time-to-value.

4. Straight Ahead vs Pose to Pose

Value: Development efficiency trade-off. Pose to pose = predictable timeline, easier QA. Straight ahead = creative flexibility, harder to estimate. Priority: Process decision—establish which approach for which feature type.

5. Follow Through and Overlapping Action

Value: Content hierarchy comprehension. Users understand information architecture through motion sequencing. Priority: High for complex dashboards, data-heavy interfaces. Metric: task completion rate.

6. Slow In and Slow Out

Value: Perceived performance improvement. Proper easing makes apps feel faster without backend optimization. Priority: High ROI—no infrastructure cost. Quick implementation with significant perception gains.

7. Arc

Value: Premium feel differentiation. Curved paths distinguish from competitors using linear motion. Priority: Medium—brand differentiator. Consider for flagship interactions, hero moments.

8. Secondary Action

Value: Emotional engagement without feature cost. Micro-interactions increase delight metrics. Priority: Low initial, high polish phase. Add after core functionality. Track: NPS, retention correlation.

9. Timing

Value: Performance perception. 200ms transitions feel instant. Poor timing feels broken. Priority: Critical foundation. Establish timing system early. Technical debt if ignored.

10. Exaggeration

Value: Feature noticeability. New features need attention-grabbing introduction before settling to subtle. Priority: High for feature launches, notifications. Balance against accessibility requirements.

11. Solid Drawing

Value: Spatial consistency reduces cognitive load. Users navigate faster with predictable spatial behavior. Priority: Architecture decision. Define spatial system in design system. Long-term efficiency.

12. Appeal

Value: Brand equity and trust. Polished animation correlates with perceived reliability. Priority: Table stakes for consumer, differentiator for B2B. Competitive analysis metric.

Prioritization Framework

Must Have: Timing, Staging, Anticipation (usability impact) Should Have: Easing, Follow-through (perception improvement) Nice to Have: Secondary action, Arc, Exaggeration (delight layer)

Always include reduced-motion alternative in scope.

Frequently asked questions

What does the Product Manager AI skill do?

Use when prioritizing animation features, building motion roadmaps, or when a PM needs to understand the business value of animation principles.

Why use Product Manager on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/dylantarre/animation-principles/tree/main/skills/03-by-role-persona/product-manager. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Product Manager?

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 Product Manager?

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

Is the Product Manager 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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