tapcanvas-collage-local

Creates labeled grid collages from input images for documentation purposes.

523|125|Updated Nov 11, 2025
One-click install
npx skills add https://github.com/anymouschina/TapCanvas --skill tapcanvas-collage-local
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: tapcanvas-collage-local
Source: https://github.com/anymouschina/TapCanvas/tree/main/apps/agents-cli/skills/tapcanvas-collage-local
Command: npx skills add https://github.com/anymouschina/TapCanvas --skill tapcanvas-collage-local

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires Pillow, and includes scripts (resource) components.

What problem does it solve?

Creates a deterministic local collage by combining multiple storyboard frames into a single grid with per-cell role-name labels, avoiding external AI model calls.

Core Features & Use Cases

  • Local, deterministic image collage generation from a set of inputs (files or URLs).
  • Per-cell labels drawn on each tile to identify roles or frames.
  • Configurable grid size, tile size, dividers, and label appearance for flexible presentation.
  • Output is a single collage image suitable for reviews, storyboarding, or reference boards.

Quick Start

Run the collage script with your input images to generate a labeled collage.

Frequently Asked Questions about tapcanvas-collage-local

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I create a local image collage with per-cell labels without calling external AI models?

Yes, you can generate a labeled grid image from storyboard frames locally using Python and the Pillow library. This deterministic process combines multiple input images into a single collage with configurable grid size, dividers, and per-cell role labels for review.

How do I combine multiple storyboard frames into a single grid image using Python?

Combine multiple storyboard frames into a single grid image by running a local Python collage script. It arranges inputs into a configurable grid, draws per-cell role labels on each tile, and outputs one shareable reference board without needing external AI models.

Can I customize the grid size and divider options when creating a collage with Pillow?

Yes, you can customize grid size, tile size, divider options, and label appearance when creating a collage with Pillow. The local Python script supports flexible presentation configurations to organize storyboard frames, role cards, or reference images into a single grid.

Does this local collage tool require an internet connection to process images?

No, this local collage tool does not require an internet connection to process images. It operates deterministically on your local machine using Python and Pillow, combining input files into a single labeled grid image without calling external AI models or web APIs.

What is the best way to organize reference images into a shareable grid for presentation?

The best way to organize reference images into a shareable grid for presentation is using a deterministic local Python collage tool. It combines multiple inputs into a single grid image with configurable dividers and per-cell labels, avoiding external AI model calls.

What are the limitations of using a deterministic Python script for image collage generation?

Limitations of using a deterministic Python script for image collage generation include relying solely on the Pillow library for image-processing capabilities. The script arranges inputs into a fixed grid with labels but does not offer AI-driven layout adjustments or content generation.