image-manipulation-python-magick

name	image-manipulation-python-magick
description	Process and manipulate images in Trae with Python orchestration and ImageMagick on Windows-friendly paths. Invoke when users need reusable image automation, batch conversion, resizing, cropping, padding, metadata inspection, or Chinese requests such as 批量处理图片, 批量转格式, 裁剪图片, 补白边, 生成缩略图, 压缩成 webp, or 批量改尺寸.

Image Manipulation with Python and ImageMagick

This skill is for agent-driven, rule-based image processing using the bundled Python CLI and ImageMagick.

Use Windows absolute paths when the user provides local files from Trae on Windows. Preserve source files by default and write outputs to a separate directory unless the user explicitly asks to overwrite.

Purpose

Use this skill when the user needs:

• Batch image conversion, resizing, cropping, padding, or metadata inspection
• Repeatable image workflows driven by profiles or config files
• Safe automation with separate output directories, dry-run support, and manifest reporting

Typical trigger phrases include:

• "批量处理图片"
• "批量转格式"
• "裁成 1:1"
• "补白边"
• "生成缩略图"
• "压缩成 webp"
• "批量改尺寸"

Do Not Use

Do not use this skill when:

• The user only wants installation help or conceptual explanation
• The user wants manual artistic editing in GUI tools
• The task depends on semantic image understanding rather than rule-based transforms

Do not execute shape-changing transforms immediately when crop vs pad is still unresolved. Stay inside this skill and clarify first.

Task Classification

Classify requests before acting:

• Consultation: explain options only; do not run jobs or doctor
• Single Execution: run one concrete transform on one file
• Batch Execution: process a directory or many files
• Repeatable Workflow: prefer config-driven execution
• Tooling Setup: help the user establish a reusable workflow

Intent Mapping

Prefer these mappings unless the user says otherwise:

• 头像, 证件照, 头像方图, profile photo, avatar -> avatar
• 方形封面, 社媒方图, social square, square cover -> social-square
• 不要裁掉内容, 完整保留, 补白边, no crop, pad to square -> square-pad
• 缩略图, 列表图, thumbnail, preview image -> thumbnail
• 压缩体积, 转 webp, web optimization, convert to webp -> webp-web
• 壁纸, 1920x1080, wallpaper, fhd -> wallpaper-fhd

If no profile fits exactly:

• 裁成 1:1 -> crop-square
• 补成 1:1 -> pad-square
• 统一尺寸 -> resize
• 批量转格式 -> convert
• 看尺寸 / 看格式 / 看元数据 -> info

Decision priority:

1. Preserve content
2. Avoid overwrite
3. Use a named profile
4. Use config for repeatable jobs
5. Use raw batch arguments only when necessary

Clarification Policy

When clarification is necessary, ask a concise question before running commands. If Trae provides a structured user-question tool in the current environment, use it; otherwise ask in plain Simplified Chinese.

Clarify when:

• The user must choose between crop and pad
• Output format materially affects compatibility
• Overwrite behavior must be confirmed
• Multiple profiles are plausible and one should be selected explicitly

Do not ask when:

• A safe default is obvious and low-risk
• The task is purely informational
• The answer would not materially change execution

Question design rules:

• Ask 1 to 3 focused questions
• Put the safest recommended option first
• Use concrete wording like 裁切 1:1 vs 补边 1:1

Recommended options:

• Square output: 补边 1:1 (Recommended) / 裁切 1:1
• Format: 保留原格式 (Recommended) / JPG / PNG / WEBP
• Overwrite: 不覆盖 (Recommended) / 覆盖已有文件

Execution Order

For execution-oriented tasks, use this order:

1. Classify the task
2. If ambiguity remains, clarify before running commands
3. Run doctor only if environment readiness is uncertain
4. Prefer profiles for common tasks
5. Prefer init-config plus batch --config for repeatable workflows
6. Use direct batch arguments only for one-off jobs
7. Use --dry-run before large or risky batch jobs
8. Save a --manifest when auditability matters

Bundled CLI

Use the bundled script as the default execution entrypoint:

.trae/skills/image-manipulation-python-magick/scripts/image_tool.py

Supported subcommands:

• doctor
• profiles
• init-config
• info
• convert
• resize
• crop-square
• pad-square
• batch

Common arguments:

• --input
• --output
• --pattern
• --recursive
• --profile
• --config
• --format
• --width
• --height
• --quality
• --background
• --suffix
• --min-width
• --min-height
• --dry-run
• --overwrite
• --manifest

Built-in profiles:

• avatar
• social-square
• square-pad
• thumbnail
• webp-web
• wallpaper-fhd

Use config for repeated jobs on Windows Trae:

python "$env:USERPROFILE\.trae\skills\image-manipulation-python-magick\scripts\image_tool.py" init-config --output "image-job.json" --profile thumbnail
python "$env:USERPROFILE\.trae\skills\image-manipulation-python-magick\scripts\image_tool.py" batch --config "image-job.json"

Safety Defaults

• Default to non-overwrite behavior
• Prefer output directories separate from source directories
• Prefer --dry-run before large batch execution
• Continue processing other files when one file fails unless fail-fast is explicitly required
• Prefer a manifest for batch tasks the user may revisit later

Failure Recovery

Use these recovery rules:

• magick not found -> stop and explain environment is not ready
• Invalid input path -> stop and ask for the correct path
• Crop vs pad unresolved -> ask before running the transform
• Output exists -> skip by default; mention --overwrite only if replacement is intended
• No files matched -> report zero matches and suggest checking input path, pattern, or recursion
• Partial batch failure -> finish remaining files, then summarize failures
• Repeated complex job -> propose init-config plus batch --config

Reporting Contract

When reporting back to the user:

• Start with the result, not internal command details
• Report operation, totals, success count, failure count, and output location
• Mention manifest path only if one was written
• Summarize failures briefly with actionable context
• Do not expose internal routing or orchestration details unless the user asks

Result templates:

已完成图片处理：
- 操作：{operation}
- 输入：{source}
- 输出：{output}

已完成批量图片处理：
- 操作：{operation}
- 总数：{total}
- 成功：{ok}
- 失败：{failed}
- 输出目录：{output_dir}

已完成预演：
- 操作：{operation}
- 计划处理：{total}
- 实际写入：0
- 输出目录：{output_dir}

已完成批量处理，但有部分文件失败：
- 操作：{operation}
- 总数：{total}
- 成功：{ok}
- 失败：{failed}
- 输出目录：{output_dir}

失败摘要：
- {failed_item}: {reason}

本次没有处理任何图片：
- 输入：{input}
- 原因：未匹配到符合条件的文件

Short Examples

python "$env:USERPROFILE\.trae\skills\image-manipulation-python-magick\scripts\image_tool.py" doctor
python "$env:USERPROFILE\.trae\skills\image-manipulation-python-magick\scripts\image_tool.py" profiles
python "$env:USERPROFILE\.trae\skills\image-manipulation-python-magick\scripts\image_tool.py" info --input "path\to\photo.jpg"
python "$env:USERPROFILE\.trae\skills\image-manipulation-python-magick\scripts\image_tool.py" batch --input "path\to\images" --output "path\to\images_out" --profile thumbnail --dry-run
python "$env:USERPROFILE\.trae\skills\image-manipulation-python-magick\scripts\image_tool.py" batch --config "image-job.json"

Limitations

• Large batch operations may be slow without parallel execution
• Some formats require ImageMagick delegates to be installed
• Exact visual output can vary with color profile, alpha handling, and delegates
• Older environments may still use ImageMagick 6 semantics
• Very large images may require more memory and temporary disk usage