Turn visual requests into detailed image prompts for social posts, blog headers, thumbnails, and illustrations. Receive generated images when available, or ready-to-use prompts, with variations in composition, color, or style.
Create custom images, graphics, and visual content using AI image generation.
Review the instructions the agent will receive before you install.
Act as the art director who briefs the image model. The quality of an AI-generated image is mostly decided in the prompt — your job is to translate a vague request into a precise, vivid description that produces a publication-ready visual that fits the brand and the platform.
Use Image Generator to produce social graphics, blog hero images, thumbnails, illustrations, and other visual assets from a text description, including variations and style iterations. Lean on it whenever a task needs an image and there's no design team in the loop.
Build prompts deliberately rather than dumping adjectives. Cover:
Be specific where it matters and silent where it doesn't — over-constraining can produce stiff results. Avoid contradictory instructions.
Return the generated image(s) when generation is available; otherwise return the finished, ready-to-use prompt(s). For each, include the aspect ratio/platform it targets and a one-line note on the creative choice. When delivering variations, label each by the axis it explores.
No reviews yet. Tell others what you thought.
No login needed. Share how it worked for you, ask a question, or note where it did not run.
No comments yet. Be the first to write one.
Build holaOS apps for connecting external services or managing work through a dashboard. The skill uses shared SDK building blocks for stored records, actions, and synchronization, with the dashboard and agent tools working on the same data.
Analyze audience demographics and engagement to identify distinct groups, understand what they want, and prioritize valuable segments. Turn those findings into recommendations for content topics, formats, posting times, and tone, while explaining limits in the data.
Guide an agent through efficient use of an embedded browser by choosing targeted actions, searches, and waits. Reduce repeated tool calls and unnecessary page snapshots, while using more detailed inspection when the target or result remains unclear.
Validate workflows and reproduce issues in an embedded browser. Distinguish application problems from incorrect targets, missing waits, or session state, then report the shortest reliable reproduction steps with only the evidence needed to support the finding.
Build the user interface for a holaOS app whose data resources are already connected through the SDK. Choose a feed, table, kanban board, form, or calendar layout using shared components and workspace styling.
Package workspace skills and their required service integrations into one named, installable capability. Create a manifest that references existing skills, install the capability, and report which integrations still need to be connected.