Title Card Image

OrganizationPopular

TokenRhythm

title-card-image

Render a static title / ending card PNG with Pillow. Centered headline + optional subtitle on a solid-colour background. Uses managed or platform CJK fonts with glyph verification and fails actionably instead of rendering tofu. Pure deterministic, no LLM, no network. Used by meta-short-drama for opening and closing cards.

Overview

Publisher	TokenRhythm
Repository	`opensquilla`
Skill name	`title-card-image`
Stars	7K
Forks	566
Bundled files	1
License	Apache-2.0
Links	Skill source Repository Homepage

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.
1 bundled files
Scripts, templates, and references the model can read while it works. Files are read-only and never executed.
Open source
Published by TokenRhythm on GitHub. Read the source before you install it.

Installation

Install the Title Card Image AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

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.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
Enable the skill in any chat where you want it available.

Store

Installed

Skills

Add skills

Import one or more skills from a public GitHub folder or a local .skill or .zip archive, or SKILL.md file.

From GitHub URLFrom .skill, .zip, or SKILL.md

GitHub repo or folder

https://github.com/TokenRhythm/opensquilla/tree/main/src/opensquilla/skills/bundled/title-card-image

Points to a single skill folder, or any folder that contains multiple skills. Public repos only.

CancelContinue

Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.

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/TokenRhythm/opensquilla.git /tmp/opensquilla
mkdir -p .claude/skills
cp -r /tmp/opensquilla/src/opensquilla/skills/bundled/title-card-image .claude/skills/title-card-image

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Title Card Image 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 Title Card Image 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 Title Card Image 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.

title-card-image

Renders a centered-text PNG suitable for a cover / ending card before animating into a clip with video-still-animator.

Inputs (`with:`)

key	required	default	notes
`text`	yes	—	Headline text. Auto-wraps at ~10 chars per line for CJK.
`output`	yes	—	Output `.png` path.
`subtitle`	no	`""`	Smaller line beneath the headline.
`background`	no	`#101018`	Hex color `#RRGGBB`.
`text_color`	no	`#ffffff`	Headline color.
`font_size`	no	`96`	Headline font size in pixels.
`subtitle_size`	no	`36`	Subtitle font size in pixels.
`width`	no	`720`	Output width in pixels. Match the merge pipeline.
`height`	no	`1280`	Output height. 720x1280 = 9:16.
`font`	no	`""`	Optional `.ttf`, `.otf`, or `.ttc` path. Must contain the requested CJK glyphs.

Output

Prints the absolute path of the written PNG on stdout. The PNG is RGB (no alpha), JPEG-quality-equivalent file ~30-80 KB depending on text length.

Font fallback

Resolution order is --font, the managed media directory from OPENSQUILLA_MEDIA_FONTS_DIR, user font directories, then platform defaults: Microsoft YaHei / SimHei / DengXian on Windows; PingFang / Hiragino Sans GB / STHeiti / Songti on macOS; Noto CJK / Source Han / WenQuanYi on Linux. Font collection files (.ttc/.otc) are supported. Before drawing, the renderer compares requested non-ASCII glyphs with the font's missing-glyph signature. A font that would produce tofu is skipped. If no compatible scalable font exists, the step fails with an actionable --font / OPENSQUILLA_MEDIA_FONTS_DIR message for CJK or other non-ASCII text; it never silently emits tiny bitmap squares. Pure ASCII cards remain available on minimal systems through Pillow's built-in font when no scalable font is installed.

Limits

No alpha / transparency.
No rich text styling (italic / drop-shadow / gradient). For richer cards, generate a real image via nano-banana-pro instead.
Headline wrap is character-count-based for CJK and whitespace-based for ASCII; mixed strings break at the CJK character count.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

scripts/render.py12 KB

Frequently asked questions

What does the Title Card Image AI skill do?

Why use Title Card Image on TypingMind?

Because you install it once and use it with any model. Title Card Image 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 Title Card Image in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/TokenRhythm/opensquilla/tree/main/src/opensquilla/skills/bundled/title-card-image. 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 Title Card Image?

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 Title Card Image?

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

Is the Title Card Image AI skill free?

Yes. It is published on GitHub by TokenRhythm under the Apache-2.0 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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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

title-card-image

Inputs (with:)

Output

Font fallback

Limits

Bundled files

Frequently asked questions

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Inputs (`with:`)