AI Image Generation and Editing
zhayujie/CowAgent
Generates or edits images from text prompts through a Python script that picks an image backend based on which API keys are configured.
用 ByteDance Seedream 4.0 API（经 Segmind）生成 AI 图像。当用户要从文字描述生成营销素材、海报、产品图、概念图、社交媒体配图等高质量图像，且环境配有 SEGMINDAPIKEY 时使用。支持 2K/4K、多比例、单次最多 15 张批量、最多 3 张参考图控风格。不用于：修改/编辑已有图片（用图像编辑类 skill）、视频生成、无 API 环境下的快速配图需求。
Install Seedream Imagegen
$ npx skills add staruhub/ClaudeSkills --skill seedream-imagegen -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install staruhub/ClaudeSkills seedream-imagegen --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/staruhub/ClaudeSkills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/lab/Geek-skills-seedream-imagegen .claude/skills/seedream-imagegen && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "seedream-imagegen" agent skill from https://github.com/staruhub/ClaudeSkills/tree/main/lab/Geek-skills-seedream-imagegen into .claude/skills/seedream-imagegen/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "seedream-imagegen", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/staruhub/ClaudeSkills/tree/main/lab/Geek-skills-seedream-imagegenType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add staruhub/ClaudeSkills --skill seedream-imagegen -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install staruhub/ClaudeSkills seedream-imagegen --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/staruhub/ClaudeSkills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/lab/Geek-skills-seedream-imagegen .agents/skills/seedream-imagegen && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "seedream-imagegen" agent skill from https://github.com/staruhub/ClaudeSkills/tree/main/lab/Geek-skills-seedream-imagegen into .agents/skills/seedream-imagegen/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "seedream-imagegen", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add staruhub/ClaudeSkills --skill seedream-imagegen -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install staruhub/ClaudeSkills seedream-imagegen --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/staruhub/ClaudeSkills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/lab/Geek-skills-seedream-imagegen .cursor/skills/seedream-imagegen && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "seedream-imagegen" agent skill from https://github.com/staruhub/ClaudeSkills/tree/main/lab/Geek-skills-seedream-imagegen into .cursor/skills/seedream-imagegen/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "seedream-imagegen", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/staruhub/ClaudeSkills.git --path lab/Geek-skills-seedream-imagegen--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add staruhub/ClaudeSkills --skill seedream-imagegen -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install staruhub/ClaudeSkills seedream-imagegen --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/staruhub/ClaudeSkills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/lab/Geek-skills-seedream-imagegen .gemini/skills/seedream-imagegen && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "seedream-imagegen" agent skill from https://github.com/staruhub/ClaudeSkills/tree/main/lab/Geek-skills-seedream-imagegen into .gemini/skills/seedream-imagegen/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "seedream-imagegen", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install staruhub/ClaudeSkills seedream-imagegenInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add staruhub/ClaudeSkills --skill seedream-imagegen -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/staruhub/ClaudeSkills.git skills-src && mkdir -p .github/skills && cp -r skills-src/lab/Geek-skills-seedream-imagegen .github/skills/seedream-imagegen && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "seedream-imagegen" agent skill from https://github.com/staruhub/ClaudeSkills/tree/main/lab/Geek-skills-seedream-imagegen into .github/skills/seedream-imagegen/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "seedream-imagegen", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add staruhub/ClaudeSkills --skill seedream-imagegen -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install staruhub/ClaudeSkills seedream-imagegen --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/staruhub/ClaudeSkills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/lab/Geek-skills-seedream-imagegen .opencode/skills/seedream-imagegen && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "seedream-imagegen" agent skill from https://github.com/staruhub/ClaudeSkills/tree/main/lab/Geek-skills-seedream-imagegen into .opencode/skills/seedream-imagegen/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "seedream-imagegen", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
seedream-imagegen- GitHub stars
- 728
- Token cost
- ~641 tokens
- SKILL.md length
- 183 words
- Files
- 6 (incl. scripts, references)
- Skills in repo
- 20
- Repo updated
- First seen
- Licence
- MIT
At a glance
用 ByteDance Seedream 4.0 API（经 Segmind）生成 AI 图像。当用户要从文字描述生成营销素材、海报、产品图、概念图、社交媒体配图等高质量图像，且环境配有 SEGMINDAPIKEY 时使用。支持 2K/4K、多比例、单次最多 15 张批量、最多 3 张参考图控风格。不用于：修改/编辑已有图片（用图像编辑类 skill）、视频生成、无 API 环境下的快速配图需求。
- Works in 4 steps: 收集需求（缺什么问什么，不逐项走问卷） → 优化提示词 → 执行 → …
- Tasks that involve Image generation
- SKILL.md covers 验收标准（每次生成任务完成前自查）, 不做什么, 工作流程 and 已知陷阱, plus 1 more section
- Runs Python scripts from its folder; calls python; needs SEGMIND_API_KEY
What it does
Seedream Imagegen is an agent skill from staruhub/ClaudeSkills. 用 ByteDance Seedream 4.0 API（经 Segmind）生成 AI 图像。当用户要从文字描述生成营销素材、海报、产品图、概念图、社交媒体配图等高质量图像，且环境配有 SEGMINDAPIKEY 时使用。支持 2K/4K、多比例、单次最多 15 张批量、最多 3 张参考图控风格。不用于：修改/编辑已有图片（用图像编辑类 skill）、视频生成、无 API 环境下的快速配图需求。
Its SKILL.md is about 640 tokens, which your agent loads only when the skill is triggered. The skill folder holds 8 other files, including scripts and reference files (for example `evals/routing-evals.json`, `references/api_reference.md` and `references/prompt_engineering.md`).
It sits in Media & Creative, covering Image generation. The repository describes itself as: 13 curated Agent Skills for research, product decisions, decks, publishing, audits, and more — portable across skills-compatible agents. The licence is MIT.
When your agent uses it
- Tasks that involve Image generation
Example prompts
- “/seedream-imagegen”
Requirements
- Python 3
- A credential in SEGMIND_API_KEY
Workflow steps
4 steps, taken from the step headings in SKILL.md.
What it can do on your machine
Read from SKILL.md and the folder at commit 66e02d2. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
Ships 1 file in scripts/ (Python), which the agent can run.
Shell commands in SKILL.md call:
python
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names these keys or tokens, usually read from environment variables:
SEGMIND_API_KEY
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Seedream Imagegen loads about 641 tokens when it runs, and up to ~3.3k if it reads all its reference files. Until then it costs about 55 tokens; SKILL.md has 183 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
Safety
Auto-check passed
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.
SKILL.md
The full file from staruhub/ClaudeSkills at commit 66e02d2, republished under its MIT licence (© staruhub). 183 words, ~641 tokens.
Download SKILL.mdSave it as
.claude/skills/seedream-imagegen/SKILL.md (or your agent's skills folder). This skill also uses 5 other files; get the full folder from GitHub.- name
- seedream-imagegen
- description
- 用 ByteDance Seedream 4.0 API（经 Segmind）生成 AI 图像。当用户要从文字描述生成营销素材、海报、产品图、概念图、社交媒体配图等高质量图像，且环境配有 SEGMIND_API_KEY 时使用。支持 2K/4K、多比例、单次最多 15 张批量、最多 3 张参考图控风格。不用于：修改/编辑已有图片（用图像编辑类 skill）、视频生成、无 API 环境下的快速配图需求。
- version
- 1.1.0
Seedream 4.0 图像生成
通过 scripts/generate_image.py 调用 Seedream 4.0 生成专业级图像。
验收标准（每次生成任务完成前自查）
- 提示词经过结构化优化（[主题]+[风格]+[细节]+[质量词]），不是用户原话直接透传
- size / aspect_ratio 与用途匹配（见参数对照表），不是默认值裸跑
- 图像已落盘并把实际文件路径回报给用户
- 重要用途（海报/品牌）生成 ≥3 张供选择
- 告知了本次消耗（张数×分辨率），4K 提前说明更耗时耗额度
不做什么
- 不编辑、重绘、扩展已有图片——只做文生图（参考图仅用于风格指导）
- 无
SEGMIND_API_KEY时不硬试：告知用户去 segmind.com 获取，或改用环境内其他生图 skill - 不对生成内容的版权归属下结论
- 用户只要一张随手配图时,不展开完整需求问卷,合理默认直接出
工作流程
1. 收集需求（缺什么问什么，不逐项走问卷）
必需：图像内容描述。推荐确认：尺寸（默认 2K）、比例（默认 1:1）、数量（默认 1）。
用途 → 参数对照表
| 用途 | size | aspect_ratio | max_images |
|---|---|---|---|
| 社交媒体 | 2K | 1:1 或 9:16 | 1-3 |
| 网页横幅 | 2K | 16:9 或 21:9 | 1 |
| 打印海报 | 4K | 4:3 或自定义 | 1-2 |
| 产品图 | 2K | 3:2 或 4:3 | 3-5 |
| 概念设计 | 2K | 16:9 | 5-10 |
2. 优化提示词
结构：[主题] + [风格] + [细节] + [质量修饰词]，补光照与氛围；需要图内文字时明确指定文字内容与字体风格；建议 200-300 词内。
示例："一只猫" → "A fluffy orange tabby cat on a wooden windowsill, golden hour lighting, cozy interior, warm palette, professional photography, detailed fur texture"。
风格关键词库与更多范式：references/prompt_engineering.md。
3. 执行
python scripts/generate_image.py \
--prompt "优化后的提示词" \
--size 2K --aspect-ratio 16:9 --max-images 1 \
--output-dir ./outputs
# API key 从环境变量 SEGMIND_API_KEY 读取，或用 --api-key 传入高级用法（参考图 image_input ≤3 张 / 顺序批量 sequential=True 保持系列一致 / size=custom 自定义宽高）：
Python 调用示例见 references/quick_start.md，参数完整说明见 references/api_reference.md。
4. 迭代
不满意时先问具体不满意什么，再对症调整：细节不足→加描述；风格不对→换风格关键词或上参考图；清晰度→升 4K；选择面→加张数。
已知陷阱
| 陷阱 | 具体表现 | 应对 |
|---|---|---|
| 401 / 额度耗尽 | API 报 401 或 quota 错误 | 检查 SEGMIND_API_KEY；额度问题如实告知用户，不静默重试烧额度 |
| 内容审核拒绝 | 提示词含敏感元素被拒 | 告知被拒原因类别，改写提示词规避后重试一次；连续被拒则停下与用户确认 |
| 图内文字模糊 | 生成的海报文字发虚、错字 | 提示词明确指定文字内容+字体风格，加 "high contrast, bold typography"；升 4K；仍不行改"留位后期加字" |
| 4K 时间预期 | 用户以为卡住 | 提前说明 2K 约 2 秒、4K 约 4-6 秒，批量线性叠加 |
| 超限参数静默失败 | >15 张或 >3 参考图 | 生成前校验参数上限，超限先拆分或询问 |
| 直接透传短提示词 | "一只猫"直接发 API，出图平庸 | 验收标准第一条：必须先优化 |
参考文档（按需加载）
| 文件 | 何时读 |
|---|---|
references/prompt_engineering.md | 优化提示词、查风格关键词库时 |
references/api_reference.md | 需要完整参数说明、错误码、性能指标时 |
references/quick_start.md | 需要 Python 调用示例（参考图/批量/自定义尺寸）时 |
evals/routing-evals.json — 触发边界回归用例，改 description 后用仓库根 scripts/run_routing_evals.py 校验。
© staruhub, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
SKILL.md and 5 other files (scripts, references) in lab/Geek-skills-seedream-imagegen of staruhub/ClaudeSkills.
- SKILL.md
- evals/routing-evals.json
- references/api_reference.md
- references/prompt_engineering.md
- references/quick_start.md
- scripts/generate_image.py
Open the folder on GitHubat commit 66e02d2
Compare with similar skills
Seedream Imagegen next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Seedream Imagegen this skillstaruhub/ClaudeSkills | 728 | — | ~641 | Automated safety check: Pass | MIT | |
| AI Image Generation and Editingzhayujie/CowAgent | 47k | — | ~1.3k | Automated safety check: Pass | MIT | |
| Structured Image Generationbytedance/deer-flow | 84k | 4 repos | ~2.9k | Automated safety check: Pass | MIT | |
| Canghe Comicfreestylefly/canghe-skills | 461 | 8 repos | ~3.2k | Automated safety check: Pass | None | |
| Generate Imageynulihao/AgentSkillOS | 618 | 10 repos | ~1.7k | Automated safety check: Notes | None | |
| GPT Image Generation CLIwuyoscar/GPT-Image2-Skill | 5.7k | — | ~2.5k | Automated safety check: Notes | MIT |
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Related
Categories
Questions about Seedream Imagegen
What does Seedream Imagegen do?
用 ByteDance Seedream 4.0 API（经 Segmind）生成 AI 图像。当用户要从文字描述生成营销素材、海报、产品图、概念图、社交媒体配图等高质量图像，且环境配有 SEGMINDAPIKEY 时使用。支持 2K/4K、多比例、单次最多 15 张批量、最多 3 张参考图控风格。不用于：修改/编辑已有图片（用图像编辑类 skill）、视频生成、无 API 环境下的快速配图需求。. Seedream Imagegen is an agent skill from staruhub/ClaudeSkills.
When should I use Seedream Imagegen?
Seedream Imagegen fits situations like: tasks that involve Image generation.
How do I install Seedream Imagegen in Claude Code?
Run `npx skills add staruhub/ClaudeSkills --skill seedream-imagegen -a claude-code`. Or copy the skill folder (lab/Geek-skills-seedream-imagegen in staruhub/ClaudeSkills) into .claude/skills/seedream-imagegen in your project. Claude Code loads it when a task matches its description.
How do I install Seedream Imagegen in Codex?
Run `npx skills add staruhub/ClaudeSkills --skill seedream-imagegen -a codex`. Or copy the skill folder (lab/Geek-skills-seedream-imagegen in staruhub/ClaudeSkills) into .agents/skills/seedream-imagegen in your project. Codex loads it when a task matches its description.
Can I use Seedream Imagegen in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add staruhub/ClaudeSkills --skill seedream-imagegen -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/seedream-imagegen, .gemini/skills/seedream-imagegen, .github/skills/seedream-imagegen and .opencode/skills/seedream-imagegen in your project.
What does Seedream Imagegen need to run?
Going by SKILL.md and its folder, Seedream Imagegen needs Python for the scripts in its folder, the command-line tools its instructions call (python) and credentials named SEGMIND_API_KEY. Our summary lists: Python 3; A credential in SEGMIND_API_KEY.
Does Seedream Imagegen access the network?
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Is Seedream Imagegen safe to install?
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.
What licence does Seedream Imagegen use?
Seedream Imagegen is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Seedream Imagegen use?
About 641 tokens (SKILL.md is roughly 2.6k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 2.6k tokens, read only when the agent opens those files.
What are the alternatives to Seedream Imagegen?
Skills that share tags, products or a category with Seedream Imagegen: AI Image Generation and Editing (zhayujie/CowAgent, 47k stars), Structured Image Generation (bytedance/deer-flow, 84k stars), Canghe Comic (freestylefly/canghe-skills, 461 stars) and Generate Image (ynulihao/AgentSkillOS, 618 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Seedream Imagegen?
staruhub (a GitHub user) maintains it in staruhub/ClaudeSkills, which has 728 GitHub stars. The repository holds 20 skills in this directory. The repository was last updated on August 13, 2026.
Source: staruhub/ClaudeSkills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.