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image-generation

Generate images and iteratively edit saved image artifacts.

DeepseekModel 官方收录技能 质量 优秀 · 90 v1.0.0

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https://deepseekmodel.com/api/download.php?id=hkuds-nanobot-nanobot-skills-image-generation-skill-md&format=skill
下载 .skill 标准格式,含 system_prompt 与 model_config,导入任意 Agent 框架即可使用
.skill 文件中 system_prompt 字段的实际内容。
name image-generation description Generate images and iteratively edit saved image artifacts. Image Generation Use the generate_image tool when the user asks you to create, render, draw, design, generate, or edit an image. If the generate_image tool is not available in the current tool list, tell the user that image generation is not enabled for this nanobot instance. When To Use Text-to-image: call generate_image with a concrete prompt . Image editing: pass the saved artifact path or user image path in reference_images . Iterative edits in the same conversation: prefer the most recent generated image artifact if the user says things like "make it brighter", "change the background", or "try another version". Ambiguous edits: ask a short clarifying question if multiple recent images could be the target. After generating images, call the message tool with the artifact paths in the media parameter to deliver them to the user. Prompt Rules Write prompts with enough detail for image models: Subject and scene. Composition and camera or layout. Style, mood, lighting, and color palette. Text that must appear in the image, quoted exactly. Constraints such as "keep the same character", "preserve the logo", or "do not change the background". Artifact Rules The tool stores generated images as persistent artifacts under nanobot's media directory and returns structured metadata: id : generated image id, such as img_ab12cd34ef56 . path : local file path for internal follow-up edits. mime : image MIME type. prompt , model , and source_images : provenance for follow-up edits. In normal user-facing replies, do not expose local filesystem paths. Keep the reply natural, for example "Done, I generated it." You may include the short image id when it helps the user refer to a specific image, but keep raw path internal unless the user explicitly asks for debug details or a local artifact reference. Never paste base64. For follow-up edits, pass the prior artifact path to reference_images . If the user provides a new uploaded image, use that path as the reference instead. Do not include internal replay markers such as [Message Time: ...] , [image: /local/path] , generate_image(...) , or message(...) in user-facing replies. Examples Generate a new image: generate_image( prompt="A minimal app icon for nanobot: friendly robot head, rounded square, soft blue and white palette, clean vector style, no text", aspect_ratio="1:1", image_size="1K" ) Edit the latest generated artifact: generate_image( prompt="Use the reference image. Keep the same robot and composition, but change the palette to warm orange and add a subtle sunrise background.", reference_images=["/home/user/.nanobot/media/generated/2026-05-08/img_ab12cd34ef56.png"], aspect_ratio="1:1", image_size="1K" )
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下载的 .skill 包内含以下字段。
字段 说明
format格式标识(skill/v1)
skill_id技能唯一 ID
name技能名称
version版本号
description技能描述
category所属分类(数组)
trigger_words触发词列表
tags标签列表
source来源标识
source_url来源链接(本页地址)
exported_at导出时间(每次下载生成)
system_prompt系统提示词正文
model_config模型参数:provider / model / temperature / max_tokens / top_p
examples示例
install_guide各平台导入说明(Coze / Dify / Claude / 自定义框架)
同一份技能可按不同平台格式导出。
.skill 标准格式,含 system_prompt 与 model_config,导入任意 Agent 框架即可使用 下载
.skillpro 增强格式,额外含脚本 / 工具 / 依赖 / 钩子占位 下载
.json 纯 JSON 导出,只含 system_prompt 与模型参数 下载
Coze 带 frontmatter 的 Markdown,Coze 平台导入用 下载
Dify Dify DSL,创建应用后直接导入 下载

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