Generate and edit Draw.io, Mermaid, and Excalidraw diagrams from natural language using a structured JSON spec.
Design & media
Ins Style Image Bulk Generate
Try itGenerate batches of Instagram-aesthetic photos (INS-style / Xiaohongshu / lifestyle flat-lay) by randomly composing prompts from an 80+ element library, then dispatching them in parallel to image generation skills and archiving to ~/Download/ins-image-{timestamp}/. Use when the user wants bulk INS-style images, lifestyle flat-lays, Xiaohongshu or WeChat cover art, or scene-based marketing visuals — even if they don't say 'Instagram' explicitly.
What it does
1. Read to understand the available element library 2. Compose prompts. Default to **5 prompts** if the user doesn't specify a count. Each prompt randomly draws **12 elements** (1-2 per category, no duplicates within a prompt) 3. Iterate the prompt queue and dispatch them **in parallel** to whiche…
The skill document
Task
- Read
./references/ins-style-elements.mdto understand the available element library - Compose prompts. Default to 5 prompts if the user doesn't specify a count. Each prompt randomly draws 12 elements (1-2 per category, no duplicates within a prompt)
- Iterate the prompt queue and dispatch them in parallel to whichever image generation skill is available (recommended:
wanx-imgorhuny-img) - Save all generated images to
~/Download/ins-image-{timestamp}/
Prompt Skeleton
Fill each prompt using the following template:
[Subject scene, 3-4 sentences, incorporating elements 1-12]. Unified Morandi / cream / wood-tone palette. 3:4 aspect ratio. Relaxed INS aesthetic.
Gotchas
- Must return to this flow ⚠️: The image generation skill is only a sub-step. After generation completes, return to this skill and execute step 4 (archiving). Do not leave control inside the sub-skill.
- Avoid duplicate elements: Don't repeat the same element within one prompt (e.g. "vintage book stack" + "open book").
- Sub-skill failures: Skip the failed prompt and continue with the remaining queue. Don't abort the entire batch.
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