Render Logo Equation Card logo

Render Logo Equation Card

OrganizationPopular
gooseworks-ai
render-logo-equation-card

Render the logo-equation card ad (7s, 9:16) — partner icon + brand icon joined by a plus sign as an equation, a two-line "= outcome" headline, four numbered steps, and a CTA that hard-cuts in at 2s, on a static black card over timelapse b-roll, no voice. render_card.py draws the two card plates with measured geometry and hard guardrails (the user must confirm the integration is real, no partnership/endorsement/ranking words, no comment-bait CTA, no dashes); compose.py lays the card over the b-roll sped up to read as a timelapse, with an optional bed; measure_motion.py gates the b-roll (a real-time shot reads as a photo). Free, local.

Overview

Publishergooseworks-ai
Repositorygoose-skills
Skill namerender-logo-equation-card
Stars
1.2K
Forks
216
Bundled files
6
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.

  • 6 bundled files

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

  • Open source

    Published by gooseworks-ai on GitHub. Read the source before you install it.

Installation

Install the Render Logo Equation Card 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/gooseworks-ai/goose-skills/tree/main/skills/ads/capabilities/render-logo-equation-card
  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/gooseworks-ai/goose-skills.git /tmp/goose-skills
mkdir -p .claude/skills
cp -r /tmp/goose-skills/skills/ads/capabilities/render-logo-equation-card .claude/skills/render-logo-equation-card
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Render Logo Equation Card 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 Render Logo Equation Card 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 Render Logo Equation Card 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.

render-logo-equation-card

A card-led format: everything the viewer reads is on a static black card in the top third; under it, b-roll moves like a timelapse to stop the scroll. One animated event: the CTA line hard-cuts in at 2.0s. No voice, no captions, no cuts.

Run

bash
python render_card.py card.json --out-dir work/            # card-no-cta.png, card-with-cta.png
python compose.py --broll broll.mp4 --cards work/ --out ad.mp4 --in 3 --speed 4 [--bed bed.mp3]
python measure_motion.py ad.mp4 --cta-at 2.0              # exit 1 = reject

card.json:

json
{"logos": ["partner-icon.png", "brand-icon.png"],
 "partner": {"name": "Slack", "integration_confirmed": true},
 "headline": ["= your standup, written", "before anyone opens Slack"],
 "steps": ["1. Connect your Slack workspace", "2. ...", "3. ...", "4. ..."],
 "cta": "Try it free at example.com"}

The Slack standup card above is an illustration of the schema, not a default: the headline, the partner and the steps come from the user's brand and choices.

Choices

The recipe asks these before any paid step; this renderer only draws what card.json and the flags say. The demo's value is an example, never a default:

  • headline_angle — what the "= …" headline promises (time saved, a pain removed, a new ability, one workflow in one place). Sets card.json headline + steps. Demo: time saved ("= your standup, written before anyone opens Slack").
  • broll_subject — what the timelapse b-roll shows (the product in use, the team working, a workspace, customers). Picks the --broll clip and window. Demo: the brand's own footage of work happening.
  • music — the optional --bed (built from the music choice, instrumental, no artist names) or none (ship silent). Demo: driving minimal electronic, ~144 BPM.

Guardrails (enforced by render_card.py)

Two logos side by side already imply a link between the companies. The platform names another brand only as plain co-existence ("works with"), never as an endorsement, partnership or ranking. So:

  1. partner.integration_confirmed: true or no card. Only when the user confirms the product really works with the partner (an integration, a plugin, an import).
  2. No relationship words: partner, partnership, official, endorsed, certified, approved by, recommended by, #1, best. Say what the product does with the partner.
  3. The CTA is the brand's own, never names the partner, and is never comment-bait ("comment X and I'll send the link"): nothing replies to comments.
  4. Exactly two logos (square app icons, partner left), two headline lines starting "= ", four steps of 5-8 words, no em or en dashes. The renderer fails on any of these and on copy that does not fit the card at its real size.
  5. Icons are real files the user supplied or confirmed: the partner's own app icon (from their site or press kit), the brand's from its kit. Never draw or generate a logo.

Rules for the b-roll

  1. It is a TIMELAPSE. A locked-off real-time shot measures ~18x less motion than the reference and reads as a still photo. Use --speed (3-8x) on real footage: the brand's own clip of the product in use, a team at work, a workspace. measure_motion.py rejects a mean under 1.5.
  2. Never use footage lifted from another company's ad, and never restyle one.
  3. Text-to-video cannot make this shot: it renders one moment, so screens and people never change over the clip. If there is no real footage, ask the user for some.
  4. Cover the band (--fit cover, the default); width leaves black around a landscape clip.
  5. Flat, high-contrast screens survive; photographic wallpapers and thumbnail grids smear if the clip was ever generated or restyled.

Audio

Optional --bed (e.g. create-music-elevenlabs, instrumental, 8s), normalised to -15 LUFS with a short fade. An organic post can go out silent and take a track in-platform.

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 Render Logo Equation Card AI skill do?

Render the logo-equation card ad (7s, 9:16) — partner icon + brand icon joined by a plus sign as an equation, a two-line "= outcome" headline, four numbered steps, and a CTA that hard-cuts in at 2s, on a static black card over timelapse b-roll, no voice. render_card.py draws the two card plates with measured geometry and hard guardrails (the user must confirm the integration is real, no partnership/endorsement/ranking words, no comment-bait CTA, no dashes); compose.py lays the card over the b-roll sped up to read as a timelapse, with an optional bed; measure_motion.py gates the b-roll (a re...

Why use Render Logo Equation Card on TypingMind?

Because you install it once and use it with any model. Render Logo Equation Card 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 Render Logo Equation Card in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/gooseworks-ai/goose-skills/tree/main/skills/ads/capabilities/render-logo-equation-card. 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 Render Logo Equation Card?

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 Render Logo Equation Card?

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

Is the Render Logo Equation Card AI skill free?

Yes. It is published on GitHub by gooseworks-ai 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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