J Cover

Community

ShinChven

j-cover

Designs J-Media magazine covers via 20% outpainting, auto-sampling outfit palettes, and adding bilingual typography with barcodes and lore-accurate details.

Overview

Publisher	ShinChven
Repository	`nano-banana-skills`
Skill name	`j-cover`
Stars	73
Forks	10
Bundled files	Instructions only
License	MIT
Links	Skill source Repository

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 ShinChven on GitHub. Read the source before you install it.

Installation

Install the J Cover 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.
https://github.com/ShinChven/nano-banana-skills/tree/main/skills/j-cover
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.

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/ShinChven/nano-banana-skills.git /tmp/nano-banana-skills
mkdir -p .claude/skills
cp -r /tmp/nano-banana-skills/skills/j-cover .claude/skills/j-cover

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

Use it in TypingMind

Enable J Cover 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 J Cover 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 J Cover 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.

ROLE: Expert Magazine Layout Designer & Image Editor

PREREQUISITE

Image Required: This skill REQUIRES an uploaded image to function. If the user has not provided an image yet, acknowledge the request and ASK the user to upload the image they want to turn into a magazine cover.
Reference Usage: Once an image is provided, you MUST use it as the base for all subsequent steps. Do NOT generate a character from scratch.

INPUT IMAGE: [Provided Image]

CRITICAL: You MUST use the provided image as a direct reference. Do NOT generate a new character or change the character's features. This is an IMAGE EDITING task, not a new generation task.

STEP 0: LAYOUT ANALYSIS (THINK BEFORE ACTING)

Action: Before generating any elements, analyze the input image's composition, character pose, and negative space.
Design Strategy: Map out the placement of titles, captions, barcode, and icons. Ensure the layout feels professional and intentional, avoiding any overlap with the character's face or critical details.

STEP 1: PRECISE OUTPAINTING & COMPOSITION

Action: ZOOM OUT SLIGHTLY (Scale down the original subject by exactly 20%).
Canvas: Maintain the ORIGINAL Aspect Ratio of the input image.
Anchor: Position the original character at the BOTTOM-CENTER of the frame.
Fill: Seamlessly generate (outpaint) the background in the newly created 20% margin around the top and sides. Match the original depth of field and lighting perfectly.
Constraint: The character's face and details must remain IDENTICAL, just slightly smaller to create breathing room for text.

STEP 2: TYPOGRAPHY & LAYOUT

Auto-Palette: Sample the dominant color from the character's outfit for the Main Title font.
Main Title (Japanese):
- Content: Generate a highly provocative title that is canon to the character's lore.
- Placement: Place it in the newly created empty space at the VERY TOP. It MUST be positioned BEHIND the character's head to create a sense of depth.
Subtitles (Japanese):
- Content: The character's name in Japanese and vertical text describing the mood.
- Placement: Floating in the new background space on the Left or Right sides.
Character Name & Intro (English):
- Main Title: Large-font character name in English.
- Sub-title: A long, highly provocative character introduction or title in small font, placed directly below the name.
- Placement: Positioned beside the character in the negative space.
Captions (English):
- Content: Short, engaging teasers.
- Placement: Horizontal text scattered in the remaining negative space (corners or near the shoulder).

STEP 3: GRAPHIC ELEMENTS

Lore Icon: Add a specific faction/game icon in a top corner.
Magazine Data:
- Barcode: Place in a bottom corner (left or right) where it DOES NOT cover the character's legs or feet.
- Price: (make a random price in Japanese ¥)
- Date: (Make a magazine month year combination)

OUTPUT GOAL

Generate a high-quality magazine cover scan. The character is still large and prominent (80% scale), with just enough new background space added to fit the Japanese Title on top and English Captions on the sides.

Frequently asked questions

What does the J Cover AI skill do?

Designs J-Media magazine covers via 20% outpainting, auto-sampling outfit palettes, and adding bilingual typography with barcodes and lore-accurate details.

Why use J Cover on TypingMind?

Because you install it once and use it with any model. J Cover 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 J Cover in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/ShinChven/nano-banana-skills/tree/main/skills/j-cover. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use J Cover?

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 J Cover?

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

Is the J Cover AI skill free?

Yes. It is published on GitHub by ShinChven 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.

View all

Plan Canvas

affaan-m

CommunityPopular

Open plans and HTML artifacts in a local browser canvas where the human annotates elements, chats, and approves or requests changes without leaving the page. Use when presenting a plan for review, or…

Improve Codebase Architecture

mattpocock

CommunityPopular

Scan a codebase for deepening opportunities, present them as a visual HTML report, then grill through whichever one you pick.

Grilling

Grill the user relentlessly about a plan, decision, or idea. Use when the user wants to stress-test their thinking, or uses any 'grill' trigger phrases.

Teach

Teach the user a new skill or concept, within this workspace.

Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

ROLE: Expert Magazine Layout Designer & Image Editor

PREREQUISITE

INPUT IMAGE: [Provided Image]

STEP 0: LAYOUT ANALYSIS (THINK BEFORE ACTING)

STEP 1: PRECISE OUTPAINTING & COMPOSITION

STEP 2: TYPOGRAPHY & LAYOUT

STEP 3: GRAPHIC ELEMENTS

OUTPUT GOAL

Frequently asked questions

Related AI Skills

Set up your own AI workspace now