image-generate_skill

Overview

This skill generates high-quality images from user descriptions using Alibaba Cloud DashScope, with a default hand-drawn aesthetic. It converts simple intents into detailed prompts, produces images quickly, and auto-saves outputs and metadata for easy retrieval and debugging.

How this skill works

The skill refines a short user intent into a detailed, style-aware prompt (e.g., hand-drawn, sketch, architectural). It calls DashScope's non-streaming generation API for faster results, downloads the image locally, and writes metadata and raw API responses to timestamped files for traceability. Scripts are provided to run generation from the command line.

When to use it

• Create hand-drawn style diagrams, sketches, or architectural flowcharts from a short description.
• Generate quick visual mockups or conceptual illustrations for documentation or presentations.
• Produce clean, white-background technical illustrations for reports or tutorials.
• Automate bulk generation where metadata and raw responses must be logged for auditing.
• Prototype UI/UX concepts with consistent hand-drawn or standard rendering styles.

Best practices

• Include explicit style keywords in the prompt (e.g., hand-drawn, sketch, architectural drawing) to get the intended look.
• Be specific about composition and elements: mention subjects, layout, perspective, and background.
• Use the provided timestamped auto-save to keep image files, metadata, and API responses for debugging.
• Test prompts iteratively and keep a small library of effective templates for recurring requests.
• Set DASHSCOPE_API_KEY as an environment variable before running scripts to avoid runtime failures.

Example use cases

• Generate a hand-drawn architecture diagram showing interactions between a user, IDE, and LLM for a design doc.
• Create conceptual illustrations for onboarding slides with a consistent sketch style.
• Produce simple technical flowcharts and export accompanying metadata for change tracking.
• Batch-generate visual assets while logging API responses for QA and reproducibility.