Generate images from written instructions and edit saved or uploaded images using them as references. Continue refining the latest image in a conversation, adjusting details such as brightness, background, or colors while specifying what to preserve.
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Generate images and iteratively edit saved image artifacts.
安装前可以查看交给 AI 代理的指令内容。
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.
generate_image with a concrete prompt.reference_images.message tool with the artifact paths in the media parameter to deliver them to the user.Write prompts with enough detail for image models:
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.
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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Find agent skills on ClawHub, a public skill registry, using everyday language. Install selected skills into the nanobot workspace, review installed skills, and update them together through command-line tools.
中文简介正在准备中。当前显示英语简介。
Schedule reminders and recurring agent tasks at specific times or intervals. Use it for meeting alerts, regular reports, or weekday routines, with support for one-time tasks, time zones, and viewing or removing scheduled jobs.
中文简介正在准备中。当前显示英语简介。
Use the GitHub command-line tool to inspect issues, pull requests, and automated workflow runs. Check failed steps and logs, retrieve additional details through the API, and extract selected fields into structured results.
中文简介正在准备中。当前显示英语简介。
Search the agent’s conversation history by topic or date to retrieve relevant past entries. Inspect neighboring records when needed to understand the surrounding discussion, using the history log specified for the agent’s workspace.
中文简介正在准备中。当前显示英语简介。
Inspect an agent’s current model, processing limits, workspace, tools, and message routing details. Diagnose unavailable capabilities, adjust permitted runtime settings, or keep temporary session notes, with advance notice before changes that affect the model or limits.
中文简介正在准备中。当前显示英语简介。
Get answers about nanobot setup, configuration, and troubleshooting using documentation bundled with the installed version. Find relevant guidance for the WebUI, model providers, integrations, and configuration fields.
中文简介正在准备中。当前显示英语简介。