Milestone Reveal logo

Milestone Reveal

Community
charlie947
milestone-reveal

Make a 12-second looping milestone clip in code with Claude Code. Thousands of tiny points drift like a night sky, pull together into your real number (followers, subscribers, revenue, customers), a line draws underneath and the label settles in. Premium, not a party. Use when someone says "milestone video", "celebrate 10k followers", "animate my subscriber count", "number reveal", "particle number animation" or wants to mark a result on LinkedIn or Instagram.

Overview

Publishercharlie947
Repositorymotion-graphics-skills
Skill namemilestone-reveal
Stars
428
Forks
62
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 charlie947 on GitHub. Read the source before you install it.

Installation

Install the Milestone Reveal 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/charlie947/motion-graphics-skills/tree/main/skills/milestone-reveal
  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/charlie947/motion-graphics-skills.git /tmp/motion-graphics-skills
mkdir -p .claude/skills
cp -r /tmp/motion-graphics-skills/skills/milestone-reveal .claude/skills/milestone-reveal
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Milestone Reveal 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 Milestone Reveal 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 Milestone Reveal 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.

Milestone reveal, built in code

Each point is one follower, one subscriber or one customer. They gather into the number, hold, then drift apart so the loop has no jump.

Before you start: read brand.md and MOTION.md if they exist. If not, run brand-intake first, or ask for hex codes, a font and a logo file. Never call a result on-brand without them.

Step 1: Ask for four things, then wait

  1. The number, exactly as it should read, with commas. Example: "250,000".
  2. Where it comes from. A screenshot or link to the dashboard that shows it. No source, no clip.
  3. The label, word for word. Example: "LinkedIn followers".
  4. Brand and size. Background, particle and accent colours, the font file (attached), and the size. Default 1080 x 1350, 12 seconds.

The number is the user's real, sourced number. Never round it up, never add "+", never swap a target for a result. If the source shows 12,431, the clip says 12,431 or the user picks a lower round figure themselves.

Step 2: Build brief (paste into Claude Code)

Build one self-contained HTML file (canvas) for a 12-second seamless loop at [WIDTH] x [HEIGHT]. Tone: premium product launch, not a party. No bounce, overshoot, confetti or sparkle bursts.

Fixed text (real figure, do not alter, round or restyle): "[NUMBER]" and "[LABEL]". No other text on screen.

Brand: background [BG], particles and number [INK], accent line [ACCENT]. Font: the attached [FONT] files, embedded as base64. If the font file is missing, stop and ask me.

Particles: about 3,200 tiny points with varied opacity and a faint twinkle, like a night sky. Build the number's shape by drawing "[NUMBER]" in the bold weight on an offscreen canvas and sampling its filled pixels as targets. Give most points to the number so it reads crisply at feed size, comma included. The rest stay as dimmer drifting stars.

Timing:
1. 0-2s: points drift. Nothing else.
2. 2-6.5s: points pull into the number with a long, staggered ease, like gravity, not a snap.
3. 6.5-7.5s: a thin [ACCENT] line draws left to right under the number.
4. 7.5-8.5s: the label fades in and rises about 12px into place.
5. 8.5-10.5s: hold. The number only shimmers.
6. 10.5-12s: label and line fade, points drift back to their exact start. Frame 12 matches frame 0.

Build rules: a fixed random seed for every position. Add window.seek(seconds) that draws any exact frame from the time alone. Reduced-motion shows the held frame.

After the build: capture frames at 0, 2, 4.5, 6.5, 7.5, 9.5, 11 and 12s. Check the number reads exactly "[NUMBER]", nothing is cut off or overlapping, and frames 0 and 12 are identical. Keep each earlier version when you fix something.

What I learned the hard way

  • The number looked grey at feed size. Too few points covered each digit. The fix: about 2,700 of 3,200 points on the number, each 2.5px at near full opacity.
  • Chrome can draw the same frame two ways. After repeated pixel reads it switches drawing mode, so a frame came out slightly different. Create the canvas context with willReadFrequently: true and every seek gives the same pixels.
  • Seed everything. A Math.random() at render time makes every export different and breaks the loop.
  • Measure the seam, do not eyeball it. My passing build had 0 pixels different between frame 0 and frame 12.

Step 3: Export

HyperFrames (free, open source): npx skills add heygen-com/hyperframes, then npx hyperframes render. 1080 x 1350 for the LinkedIn feed. For a Reel, hand the MP4 to reel-export. Put the source of the number in the caption.

Frequently asked questions

What does the Milestone Reveal AI skill do?

Make a 12-second looping milestone clip in code with Claude Code. Thousands of tiny points drift like a night sky, pull together into your real number (followers, subscribers, revenue, customers), a line draws underneath and the label settles in. Premium, not a party. Use when someone says "milestone video", "celebrate 10k followers", "animate my subscriber count", "number reveal", "particle number animation" or wants to mark a result on LinkedIn or Instagram.

Why use Milestone Reveal on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/charlie947/motion-graphics-skills/tree/main/skills/milestone-reveal. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Milestone Reveal?

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 Milestone Reveal?

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

Is the Milestone Reveal AI skill free?

Yes. It is published on GitHub by charlie947 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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