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.