Img2mo Std Agent Skill

Standardize a 2D animation baseline image with `/img2mo-std xxx.png/pos`. Use when preparing a character, creature, prop, or weapon baseline before motion generation, especially if the source image is too large, tightly cropped, lacks transparent action margin, has a white background, or later walk/attack/idle frames show clipping, overlap, scale popping, or inconsistent character size.

844 tokens

context cost

the whole folder, loaded on every use

files

instructions only

copies elsewhere

how many repositories repackaged it

128

stars on the repo

on the repository, not the skill itself

Install

one command, takes just this skill from the repository

npx skills add https://github.com/WU-HAOTIAN34/2dimg2motion --skill img2mo-std

The instruction itself

7 sections, as written by the author

Img2mo-std

Overview

Use this skill when the user invokes:

/img2mo-std xxx.png/pos

The command audits and standardizes a baseline frame before animation generation. It creates a smaller, padded, transparent-canvas source image that leaves enough room for walk, attack, idle, weapon swing, cape, tail, horn, or limb stretch poses.

Input Resolution

Resolve the argument after /img2mo-std as follows:

If it is an existing relative or absolute path, use it directly.
If it is a bare file name such as s7.png, first try sample\s7.png.
If it has no extension such as s7, first try sample\s7.png, then sample\s7.jpg, then sample\s7.webp.
If no matching image exists, report the missing path and do not guess from unrelated files.

Examples:

/img2mo-std s7
/img2mo-std s7.png
/img2mo-std sample\s7.png
/img2mo-std C:\AI\2dimg2motion-v1\sample\s7.png

Audit Criteria

A baseline is not standard if any of these are true:

The foreground subject is larger than about 300-400 px on its longest side.
The subject touches or nearly touches the canvas edge.
There is not enough empty transparent space for arms, legs, weapons, tails, capes, horns, or effects to extend during motion.
The background is opaque white or near-white when the character should be isolated.
The source has a huge canvas that will slow generation without adding useful detail.
Previous generated frames show inconsistent character size, off-center motion, clipped body parts, or crowded sprite-sheet cells.

Tool

Run the repository tool from the workspace root after resolving the image path:

python scripts\standardize_baseline.py <resolved-image-path>

Default output:

sample\<input-stem>-standard.png

Useful options:

python scripts\standardize_baseline.py sample\s7.png --subject-max 360 --margin-ratio 0.75
python scripts\standardize_baseline.py sample\s7.png --output sample\s7-standard.png
python scripts\standardize_baseline.py sample\s7.png --check-only

Recommended default target:

Subject longest side: 360
Margin ratio: 0.65 to 0.85
Output format: PNG with transparency

Report Interpretation

The tool prints a JSON report. Treat the standardized output as ready when:

needs_standardization is false after processing.
subject_longest_side is between 300 and 400.
edge_clearance_ratio leaves enough room for the intended motion.
warnings is empty or only contains acceptable notes.

If the report still warns that the image is tight or too large, rerun with a smaller --subject-max or larger --margin-ratio.

Animation Workflow Rule

After /img2mo-std, use the standardized output image as the baseline for all later walk, attack, idle, or other sprite generation. Do not continue from the original oversized or tightly cropped source unless the user explicitly asks to bypass standardization.

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13k tokens

How to use it

Copy the folder

Take wu-haotian34/img2mo-std from the repository into ~/.claude/skills for personal use, or into .claude/skills inside a project.

Check the name does not clash

The agent identifies a skill by the name field in its header. Two skills with the same name cannot sit side by side — one of them will be ignored.