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- BrandLoom — Project Branding Studio
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BrandLoom — Project Branding Studio
Create a matching project logo visual, cover, and GitHub preview from your repo and brand assets—with approval before anything is generated.
$5
BrandLoom — Project Branding Studio
Example session with this skill installed
Use $brandloom for my GitHub project: https://github.com/example/my-project.
Read the README and the two reference images I attached.
I need
- a square project logo visual
- a 2:1 project cover
- a GitHub Social Preview
- Chinese and English versions
Keep my existing company logo unchanged.
Use the author-anime and TuoTuo characters on the cover, but do not use characters on the square logo visual.
Ask one question at a time and show me the full plan before generating anything.
- Read your context and instructions
- Compiled the brandloom
I’ve reviewed the README and reference images. Here is the proposed direction.
Project message
“Turn scattered project work into one clear system.”
Planned outputs
-
Square logo visual
Size: 1254×1254
Direction: Clean product-focused scene
Characters: None
Main focus: Project mark and short positioning line -
Project cover
Size: 1774×887
Direction: A working product scene showing the main workflow
Characters: author-anime and TuoTuo
Main focus: Project name, key benefit, and product interface -
GitHub Social Preview
Size: 1280×640
Direction: A simpler version of the approved cover
Language: English
Brand rules
- Keep the supplied company logo unchanged
- Reuse the approved project mark
- Add the final text after the background artwork is generated
- Save every result as a new version
- Do not generate the cover until the square visual is approved
Before I generate anything, let’s confirm the main cover message.
A. Explain what the project is
B. Focus on the problem it solves
C. Focus on the result the user gets
D. Use your own wording
Recommended: A
Reply with A, B, C, or D.
Connects securely to your tools. The creator never sees your data.
About this skill
Find more skills like this on the Claude Skills Marketplace, the Codex Skills Marketplace and the Gemini Skills Marketplace, or browse Claude Image Generation Skills.
BrandLoom works best in Codex CLI and requires Python 3.12 or newer, Pillow 12.3.0, and a built-in image generation tool for final images.
The default outputs are PNG files in three fixed sizes: 1254×1254, 1774×887, and 1280×640.
It does not create editable SVG or AI source files, Figma projects, trademark registrations, automatic publishing, or large batches of platform sizes.
An official company logo must be supplied as an original file and will not be redrawn by the image model.
Custom characters, logos, and reference images require clear usage permission.
BrandLoom asks for approval before generation, so it is not designed for unattended one-click output.
How to use
- 1
Connect your agent to the Agensi MCP
Copy the prompt and paste it into Claude, ChatGPT, Cursor or any agent that supports MCP. It sets up the connection for you. Manual setup
- 2
Sign in to Agensi
Your agent shows a sign-in link. Sign in and click Allow.
- 3
Ask for what you need
Your agent loads this skill and uses it on your task. It always asks before buying a skill.
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- Accounts
GitHub
- Software
Python
Permissions
Allowed Hosts
File Scopes
BrandLoom reads only the project information and brand files selected by the user. It runs the included Python and Pillow scripts locally to place text, combine approved logos or characters, check image dimensions, and save new versions. Project state and generated outputs are stored under `.brandloom/`. Approved reusable assets may be stored under `$CODEX_HOME/brandloom/`. Browser access is used only for links supplied by the user, mainly GitHub project pages. The local scripts do not call external APIs, request API keys, upload the user’s asset library, delete original files, or overwrite earlier outputs. The only environment variable read is `CODEX_HOME`, which is used to locate the local BrandLoom data folder.