Agent skill

Render Logo Equation Card

by gooseworks-ai in gooseworks-ai/goose-skills

MITAuto-check passedAI & LLM Engineering

Install Render Logo Equation Card

skills CLI

$ npx skills add gooseworks-ai/goose-skills --skill render-logo-equation-card -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI

$ gh skill install gooseworks-ai/goose-skills render-logo-equation-card --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy

$ git clone --depth 1 https://github.com/gooseworks-ai/goose-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/ads/capabilities/render-logo-equation-card .claude/skills/render-logo-equation-card && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Paste into Claude Code

Install the "render-logo-equation-card" agent skill from https://github.com/gooseworks-ai/goose-skills/tree/main/skills/ads/capabilities/render-logo-equation-card into .claude/skills/render-logo-equation-card/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "render-logo-equation-card", then confirm the skill loads.

Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

$skill-installer

$skill-installer install https://github.com/gooseworks-ai/goose-skills/tree/main/skills/ads/capabilities/render-logo-equation-card

Type this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.

skills CLI

$ npx skills add gooseworks-ai/goose-skills --skill render-logo-equation-card -a codex

Project install goes to .agents/skills/; add -g for ~/.codex/skills/.

GitHub CLI

$ gh skill install gooseworks-ai/goose-skills render-logo-equation-card --agent codex

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/gooseworks-ai/goose-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/ads/capabilities/render-logo-equation-card .agents/skills/render-logo-equation-card && rm -rf skills-src

Use ~/.agents/skills/ instead of .agents/skills for a personal install.

Codex skills documentation · loads skills from .agents/skills/

Paste into Codex

Install the "render-logo-equation-card" agent skill from https://github.com/gooseworks-ai/goose-skills/tree/main/skills/ads/capabilities/render-logo-equation-card into .agents/skills/render-logo-equation-card/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "render-logo-equation-card", then confirm the skill loads.

Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

skills CLI

$ npx skills add gooseworks-ai/goose-skills --skill render-logo-equation-card -a cursor

Project install goes to .agents/skills/; add -g for ~/.cursor/skills/.

GitHub CLI

$ gh skill install gooseworks-ai/goose-skills render-logo-equation-card --agent cursor

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/gooseworks-ai/goose-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/ads/capabilities/render-logo-equation-card .cursor/skills/render-logo-equation-card && rm -rf skills-src

Use ~/.cursor/skills/ instead of .cursor/skills for a personal install.

Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/

Paste into Cursor

Install the "render-logo-equation-card" agent skill from https://github.com/gooseworks-ai/goose-skills/tree/main/skills/ads/capabilities/render-logo-equation-card into .cursor/skills/render-logo-equation-card/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "render-logo-equation-card", then confirm the skill loads.

Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

gemini skills install

$ gemini skills install https://github.com/gooseworks-ai/goose-skills.git --path skills/ads/capabilities/render-logo-equation-card

--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.

skills CLI

$ npx skills add gooseworks-ai/goose-skills --skill render-logo-equation-card -a gemini-cli

Project install goes to .agents/skills/; add -g for ~/.gemini/skills/.

GitHub CLI

$ gh skill install gooseworks-ai/goose-skills render-logo-equation-card --agent gemini-cli

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/gooseworks-ai/goose-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/ads/capabilities/render-logo-equation-card .gemini/skills/render-logo-equation-card && rm -rf skills-src

Use ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.

Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/

Paste into Gemini CLI

Install the "render-logo-equation-card" agent skill from https://github.com/gooseworks-ai/goose-skills/tree/main/skills/ads/capabilities/render-logo-equation-card into .gemini/skills/render-logo-equation-card/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "render-logo-equation-card", then confirm the skill loads.

Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

GitHub CLI

$ gh skill install gooseworks-ai/goose-skills render-logo-equation-card

Installs for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).

skills CLI

$ npx skills add gooseworks-ai/goose-skills --skill render-logo-equation-card -a github-copilot

Project install goes to .agents/skills/; add -g for ~/.copilot/skills/.

Manual copy

$ git clone --depth 1 https://github.com/gooseworks-ai/goose-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/ads/capabilities/render-logo-equation-card .github/skills/render-logo-equation-card && rm -rf skills-src

Use ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.

GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/

Paste into GitHub Copilot

Install the "render-logo-equation-card" agent skill from https://github.com/gooseworks-ai/goose-skills/tree/main/skills/ads/capabilities/render-logo-equation-card into .github/skills/render-logo-equation-card/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "render-logo-equation-card", then confirm the skill loads.

GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

skills CLI

$ npx skills add gooseworks-ai/goose-skills --skill render-logo-equation-card -a opencode

OpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.

GitHub CLI

$ gh skill install gooseworks-ai/goose-skills render-logo-equation-card --agent opencode

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/gooseworks-ai/goose-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/ads/capabilities/render-logo-equation-card .opencode/skills/render-logo-equation-card && rm -rf skills-src

Use ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.

OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/

Paste into OpenCode

Install the "render-logo-equation-card" agent skill from https://github.com/gooseworks-ai/goose-skills/tree/main/skills/ads/capabilities/render-logo-equation-card into .opencode/skills/render-logo-equation-card/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "render-logo-equation-card", then confirm the skill loads.

OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

Facts

Skill name: render-logo-equation-card
GitHub stars: 1.2k
Token cost: ~1.2k tokens
SKILL.md length: 528 words
Files: 7 (incl. scripts)
Skills in repo: 273
Repo updated: Oct 8, 2026
First seen: Oct 7, 2026
Licence: MIT

At a glance

Works in 5 steps: partner.integration_confirmed: true or… → No relationship words: partner,… → The CTA is the brand's own, never names… → …
Tasks that involve Logo and visual identity
SKILL.md covers Run, Choices, Guardrails (enforced by… and Rules for the b-roll, plus 1 more section
Runs Python scripts from its folder; calls python

What it does

Render Logo Equation Card is an agent skill from gooseworks-ai/goose-skills. 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. rendercard.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…

Its SKILL.md is about 1.2k tokens, which your agent loads only when the skill is triggered. The skill folder holds 8 other files, including scripts (for example `scripts/_fonts.py`, `scripts/compose.py` and `scripts/measure_motion.py`).

It sits in AI & LLM Engineering, covering Logo and visual identity and LLM guardrails. The repository describes itself as: Library of Growth & GTM skills + data APIs for Claude Code, Codex, Cursor to run ads, social, content, lead gen, seo and data scraping. The licence is MIT.

When your agent uses it

Tasks that involve Logo and visual identity
Tasks that involve LLM guardrails

Example prompts

“= outcome”
“/render-logo-equation-card”

Requirements

Python 3

Workflow steps

5 steps, taken from the first numbered list in SKILL.md.

partner.integration_confirmed: true or no card. Only when the user confirms the
No relationship words: partner, partnership, official, endorsed, certified,
The CTA is the brand's own, never names the partner, and is never comment-bait
**Exactly two logos (square app icons, partner left), two headline lines starting "= ",
Icons are real files the user supplied or confirmed: the partner's own app icon

What it can do on your machine

Read from SKILL.md and the folder at commit c650c6d. It shows what the files ask for, not the result of running them.

Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
Ships 4 files in scripts/ (Python), which the agent can run.
Shell commands in SKILL.md call:
- python
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Render Logo Equation Card loads about 1.2k tokens when it runs. Until then it costs about 167 tokens; SKILL.md has 528 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it: ~167
When it runs · the whole SKILL.md, loaded when a task matches: ~1.2k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.

SKILL.md

The full file from gooseworks-ai/goose-skills at commit c650c6d, republished under its MIT licence (© gooseworks-ai). 528 words, ~1,173 tokens.

Download SKILL.mdSave it as .claude/skills/render-logo-equation-card/SKILL.md (or your agent's skills folder). This skill also uses 6 other files; get the full folder from GitHub.

name: render-logo-equation-card
description: 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.
status: active

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:

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).
No relationship words: partner, partnership, official, endorsed, certified, approved by, recommended by, #1, best. Say what the product does with the partner.
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.
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.
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.

Show full SKILL.md (157 more words)Show less

Rules for the b-roll

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.
Never use footage lifted from another company's ad, and never restyle one.
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.
Cover the band (--fit cover, the default); width leaves black around a landscape clip.
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.

Files

SKILL.md and 6 other files (scripts) in skills/ads/capabilities/render-logo-equation-card of gooseworks-ai/goose-skills.

SKILL.md
scripts/_fonts.py
scripts/compose.py
scripts/measure_motion.py
scripts/render_card.py
skill.meta.json
tests/smoke-test.md

Open the folder on GitHubat commit c650c6d

Compare with similar skills

Render Logo Equation Card next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Render Logo Equation Card compared with similar skills
Skill	Stars	Used in	Tokens	Auto-check	Licence	Repo updated
Render Logo Equation Card this skillgooseworks-ai/goose-skills	1.2k	—	~1.2k	Automated safety check: Pass	MIT	2 days ago
Social Card GenBrianRWagner/ai-marketing-claude-code-skills	441	—	~1.9k	Automated safety check: Pass	None	6 mo ago
Raster Logo SVGhashgraph-online/awesome-codex-plugins	1.3k	—	~826	Automated safety check: Pass	Apache-2.0	yesterday
Aisafetyhotwuyoscar/AISafetyHot-Hub	827	—	~1.4k	Automated safety check: Pass	Custom licence	today
ObliteratusRedWoodOG/Hermes-Desktop	177	5 repos	~3.8k	Automated safety check: Pass	MIT	4 mo ago
Lemonade Router Builderamd/skills	408	—	~4k	Automated safety check: Pass	MIT	yesterday

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Questions about Render Logo Equation Card

What does Render Logo Equation Card 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…. Render Logo Equation Card is an agent skill from gooseworks-ai/goose-skills. 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.

When should I use Render Logo Equation Card?

Render Logo Equation Card fits situations like: tasks that involve Logo and visual identity; tasks that involve LLM guardrails.

How do I install Render Logo Equation Card in Claude Code?

Run `npx skills add gooseworks-ai/goose-skills --skill render-logo-equation-card -a claude-code`. Or copy the skill folder (skills/ads/capabilities/render-logo-equation-card in gooseworks-ai/goose-skills) into .claude/skills/render-logo-equation-card in your project. Claude Code loads it when a task matches its description.

How do I install Render Logo Equation Card in Codex?

Run `npx skills add gooseworks-ai/goose-skills --skill render-logo-equation-card -a codex`. Or copy the skill folder (skills/ads/capabilities/render-logo-equation-card in gooseworks-ai/goose-skills) into .agents/skills/render-logo-equation-card in your project. Codex loads it when a task matches its description.

Can I use Render Logo Equation Card in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add gooseworks-ai/goose-skills --skill render-logo-equation-card -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/render-logo-equation-card, .gemini/skills/render-logo-equation-card, .github/skills/render-logo-equation-card and .opencode/skills/render-logo-equation-card in your project.

What does Render Logo Equation Card need to run?

Going by SKILL.md and its folder, Render Logo Equation Card needs Python for the scripts in its folder and the command-line tools its instructions call (python). Our summary lists: Python 3.

Does Render Logo Equation Card access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Render Logo Equation Card safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.

What licence does Render Logo Equation Card use?

Render Logo Equation Card is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Render Logo Equation Card use?

About 1.2k tokens (SKILL.md is roughly 4.7k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Render Logo Equation Card?

Skills that share tags, products or a category with Render Logo Equation Card: Social Card Gen (BrianRWagner/ai-marketing-claude-code-skills, 441 stars), Raster Logo SVG (hashgraph-online/awesome-codex-plugins, 1.3k stars), Aisafetyhot (wuyoscar/AISafetyHot-Hub, 827 stars) and Obliteratus (RedWoodOG/Hermes-Desktop, 177 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Render Logo Equation Card?

gooseworks-ai (a GitHub organization) maintains it in gooseworks-ai/goose-skills, which has 1,240 GitHub stars. The repository holds 273 skills in this directory. The repository was last updated on October 8, 2026.

Source: gooseworks-ai/goose-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.

Install Render Logo Equation Card

Facts

At a glance

What it does

When your agent uses it

Example prompts

Requirements

Workflow steps

What it can do on your machine

Tool permissions

Runs code

Network

Credentials

Context cost

Safety

SKILL.md

render-logo-equation-card

Run

Choices

Guardrails (enforced by render_card.py)

Rules for the b-roll

Audio

Files

Compare with similar skills

Similar skills

More from gooseworks-ai/goose-skills

Related

Questions about Render Logo Equation Card