algorithmic-art
Generate deterministic SVG algorithmic artwork. Invoke when the user asks for geometric,…
Transforms and inspects image objects stored in Volcengine TOS. Use this skill only when the task explicitly involves a TOS bucket/object key, TOS image processing, TOS-to-TOS save-as output, or Volcengine TOS image process syntax such as image/info, image/resize, image/format,
$ npx -y skills add bytedance/agentkit-samples --skill byted-tos-image-process --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
/byted-tos-image-processContext preview
The summary Claude sees to decide when to auto-load this skill.
Transforms and inspects image objects stored in Volcengine TOS. Use this skill only when the task explicitly involves a TOS bucket/object key, TOS image processing, TOS-to-TOS save-as output, or Volcengine TOS image process syntax such as image/info, image/resize, image/format,
name: byted-tos-image-process
description: "Transforms and inspects image objects stored in Volcengine TOS. Use this skill only when the task explicitly involves a TOS bucket/object key, TOS image processing, TOS-to-TOS save-as output, or Volcengine TOS image process syntax such as image/info, image/resize, image/format, image/watermark, image/draw, image/blindwatermark, or image/understanding. Do not use this skill for ordinary uploaded screenshots, local images, UI screenshot analysis, generic OCR, face detection, or visual question answering unless the user clearly says the image is a TOS object or asks to process/save it through TOS."
metadata:
version: "1.0.0"
openclaw:
identity:
- type: apikey
provider: tos_provider
env:
- TOS_ACCESS_KEY
- TOS_SECRET_KEY
- TOS_ENDPOINT
- TOS_REGION
- TOS_BUCKET
required: true
optional:
env:
- TOS_OBJECT_KEY
- TOS_SECURITY_TOKEN
- TOS_SAVEAS_BUCKET
- TOS_SAVEAS_OBJECT_PREFIX
license: Apache-2.0Inspect and transform images stored in Volcengine TOS — metadata, format conversion, resize, watermark, blind watermark, and AI-powered image understanding.
Install dependencies on first use:
cd {baseDir}
pip install -r {baseDir}/requirements.txtThen run scripts with Python 3.7+:
python3 {baseDir}/scripts/<script>.py <args>If you see a `ModuleNotFoundError` for `tos`, reinstall dependencies.
This skill relies on the TOS identity declared in the `metadata` block. Common runtime variables are:
| Environment Variable | Required | Description | | --- | --- | --- | | `TOS_ACCESS_KEY` | Yes | TOS access key ID | | `TOS_SECRET_KEY` | Yes | TOS secret access key | | `TOS_ENDPOINT` | Yes | TOS endpoint URL | | `TOS_REGION` | Yes | TOS region | | `TOS_BUCKET` | Yes | Source bucket that stores the image | | `TOS_OBJECT_KEY` | No | Source object key of the image. Can be overridden with `--key` | | `TOS_SECURITY_TOKEN` | No | STS session token when using temporary credentials | | `TOS_SAVEAS_BUCKET` | No | Default target bucket for saving processed results | | `TOS_SAVEAS_OBJECT_PREFIX` | No | Default key prefix for saving processed results |
# Read image metadata
python3 {baseDir}/scripts/image_info.py --key photo.jpg
# Convert to WebP
python3 {baseDir}/scripts/image_format.py --key photo.jpg --f webp --output converted.webp
# Resize to width 500
python3 {baseDir}/scripts/image_resize.py --key photo.jpg --width 500 --output resized.jpg
# Draw points and connecting lines
python3 {baseDir}/scripts/image_draw.py --key photo.jpg \
--points 50x50-200x120-320x220 --line --color FF0000 --output draw.jpg
# Zoom by resize + crop
python3 {baseDir}/scripts/image_zoom.py --key photo.jpg \
--resize-w 1200 --crop-w 500 --crop-h 400 --gravity center --output zoom.jpg
# Add visible text watermark
python3 {baseDir}/scripts/image_watermark.py --key photo.jpg \
--text "My Brand" --font fangzhengshusong --color FF0000 --size 72 \
--gravity center --output watermarked.jpg
# Embed blind watermark (requires ≥512×512 image and account permission)
python3 {baseDir}/scripts/image_blindwatermark.py --key photo.jpg \
--kv text=HelloBlind --output blind.jpg
# Run a custom process string
python3 {baseDir}/scripts/image_process.py --key photo.jpg \
--process "image/resize,w_300,h_300,m_fill" --output filled.jpg
# Preview the resolved request without calling TOS
python3 {baseDir}/scripts/image_resize.py --key photo.jpg \
--width 500 --dry-run --json
# AI-powered understanding for a TOS image object (requires whitelist)
python3 {baseDir}/scripts/image_understanding.py --key photo.jpg \
--prompt "Describe this image in detail"
python3 {baseDir}/scripts/image_understanding.py --key document.png \
--prompt "识别图片中的所有文字内容"| Script | Purpose | |--------|---------| | `scripts/image_info.py` | Read image metadata (format, dimensions, size). Falls back to local parsing when TOS returns raw bytes. | | `scripts/image_format.py` | Convert format (jpg, png, webp) with optional quality setting. | | `scripts/image_resize.py` | Resize by width/height/mode. | | `scripts/image_draw.py` | Draw points and optional connecting lines on an image with `image/draw`. | | `scripts/image_zoom.py` | Build agent-friendly zoom results by chaining `image/resize` and `crop`. | | `scripts/image_watermark.py` | Add visible text or image watermark with positioning, rotation, tiling, and opacity. | | `scripts/image_blindwatermark.py` | Embed blind watermark. Requires account-level permission and image ≥512×512 px. | | `scripts/image_process.py` | Pass any raw `image/...` process string. | | `scripts/image_understanding.py` | AI-powered understanding for TOS image objects via VLM (doubao-seed-1.6-vision). Supports description, OCR, face detection, and visual Q&A only when the source image is a TOS object. Requires account whitelist. |
All scripts support `--key` to override `TOS_OBJECT_KEY`, `--output` for local save, and `--saveas-bucket`/`--saveas-object` for TOS-to-TOS persistence. `TOS_SAVEAS_BUCKET` and `TOS_SAVEAS_OBJECT_PREFIX` are used as defaults when save-as CLI arguments are omitted. Most scripts support `--json` for machine-readable output, and all process-building scripts support `--dry-run` to preview the resolved request without calling TOS. Run any script with `-h` for full usage.
欢迎来到 AgentKit 代码工坊(Samples)仓库! AgentKit 是火山引擎推出的企业级 AI Agent 开发平台,为开发者提供完整的 Agent 构建、部署和运维解决方案。平台通过标准化的开发工具链和云原生基础设施,显著降低复杂智能体应用的开发部署门槛。 本代码库包含了一系列示例和教程,帮助您理解、实现和集成 AgentKit 的各项功能到您的应用中。
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