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Generate Release Image

Community
krishnakanthb13
generate_release_image

create or edit promotional images for releases, adding version numbers, feature highlights, and modern styling.

Overview

Publisherkrishnakanthb13
Repositoryantigravity_global_skills
Skill namegenerate_release_image
Stars
66
Forks
11
Bundled files
Instructions only
Links
Skill sourceRepositoryHomepage
  • 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 krishnakanthb13 on GitHub. Read the source before you install it.

Installation

Install the Generate Release Image 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/krishnakanthb13/antigravity_global_skills/tree/main/generate_release_image
  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/krishnakanthb13/antigravity_global_skills.git /tmp/antigravity_global_skills
mkdir -p .claude/skills
cp -r /tmp/antigravity_global_skills/generate_release_image .claude/skills/generate_release_image
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Generate Release 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 Generate Release 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 Generate Release 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.

Generate Release Image

This skill helps create visually stunning assets to announce a new software release.

Inputs

  • Version Number: e.g. v1.0.0.
  • Key Features: List of highlights.
  • Source Image: (Optional) Path to existing image.

Tooling Strategy

  • Use generate_image to create or edit the asset.

Workflow

1. Gather Inputs

  • Version Number: e.g., v2.0.1
  • Key Features: 2-3 main highlights to feature on the image.
  • Source Image (Optional): Does the user have a screenshot or existing asset to modify?

2. Prompt Strategy (generate_image)

Option A: User provides an image (Edit Mode)

  • Action: Use the generate_image tool, passing the user's file path in ImagePaths.
  • Prompt Construction:
    • "Edit this image to add a premium, modern overlay."
    • "Add the text '[Version Number]' prominently."
    • "Add a sleek list or callout bubbles highlighting: [Feature 1], [Feature 2]."
    • "Style: Glassmorphism, dynamic lighting, professional tech aesthetic."
    • "Ensure text is legible and integrated into the design."

Option B: No image provided (Creation Mode)

  • Action: Use the generate_image tool to create a new asset.
  • Prompt Construction:
    • "A modern, high-tech promotional image for a software release version [Version Number]."
    • "Visual style: [Choose based on context, e.g., Dark mode, Neon, Minimalist, Corporate]."
    • "Include visual representations or text overlays for these features: [Feature List]."
    • "Composition: Hero header style, plenty of negative space for text."

3. Execution

  • Ensure Directory: Check if an assets/ folder exists in the project root. If not, create it.
  • Save: Call generate_image with the constructed prompt.
  • Filename: Save the image specifically to assets/release_[version].png.

4. Review

  • Show the generated image to the user.
  • If text is malformed (common in AI image gen), offer to regenerate or suggest using a dedicated design tool for the final text overlay.

Advanced Release Image Patterns

When creating release assets, follow these professional standards:

  • Brand Consistency: Explicitly prompt for the brand's primary colors (e.g., "#0F172A and #3B82F6") and design language if available in DESIGN_PHILOSOPHY.md.
  • Platform Optimization: Specify the aspect ratio based on where it will be posted (e.g., 16:9 for LinkedIn/X, 1:1 for generic announcements).
  • Focus: Keep the text minimal. The image should tease the release, not document it.

Frequently asked questions

What does the Generate Release Image AI skill do?

create or edit promotional images for releases, adding version numbers, feature highlights, and modern styling.

Why use Generate Release Image on TypingMind?

Because you install it once and use it with any model. Generate Release 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 Generate Release Image in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/krishnakanthb13/antigravity_global_skills/tree/main/generate_release_image. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Generate Release 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 Generate Release Image?

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

Is the Generate Release Image AI skill free?

It is published on GitHub by krishnakanthb13. Check the repository for licensing terms. 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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