ClawHub

Image Create

Prompts

Generate images from text prompts and iterate on style/composition for posters, thumbnails, product mockups, logos, concept art, and social visuals. Use when the user asks to create a new image, restyle an image idea, produce prompt variants, or refine outputs with constraints like aspect ratio, mood, color palette, and text placement.

Install

openclaw skills install image-create

Image Create

Quick workflow

  1. Confirm goal in one line (what image should achieve).
  2. Collect minimum constraints:
    • subject
    • style
    • aspect ratio / resolution
    • must-include elements
    • must-avoid elements
  3. Produce 3 prompt variants:
    • safe/default
    • bold/creative
    • minimal/clean
  4. Generate image(s) with the selected variant.
  5. Iterate with precise edits (lighting, framing, typography, colors, detail level).

Prompt template

Use this template and fill all placeholders:

[TYPE OF IMAGE], featuring [MAIN SUBJECT], in [STYLE],
composition: [CAMERA/FRAMING], lighting: [LIGHTING],
background: [BACKGROUND], color palette: [COLORS],
mood: [MOOD], quality: high detail, clean edges,
output: [ASPECT RATIO OR SIZE].

Avoid: [NEGATIVE CONSTRAINTS]

Fast defaults

  • If user gives little detail, default to:
    • style: photorealistic (real camera look, natural skin texture, true-to-life materials)
    • lighting: soft natural light
    • composition: centered medium shot
    • lens/camera feel: 50mm, shallow depth of field, realistic dynamic range
    • avoid: CGI/plastic look, over-smoothing, blur, watermark, extra limbs, unreadable text, distorted faces
  • If text appears in image, keep wording short and ask for exact spelling.

Realistic style tuning

Use these additions whenever the user asks for realistic output:

  • Add quality cues: photorealistic, natural textures, physically plausible lighting, realistic shadows.
  • Add camera cues: shot on full-frame camera, 50mm lens (or 85mm for portraits).
  • Keep color grading subtle; avoid neon oversaturation unless requested.
  • Prefer environmental detail that supports realism (imperfections, material grain, natural reflections).

Iteration rules

  • Change one major variable per iteration when debugging quality.
  • Keep successful parts of previous prompt; only patch weak parts.
  • For brand visuals, preserve palette and typography constraints across iterations.
  • For thumbnails/posters, prioritize readability and high contrast.

Output format

When helping with generation requests, return:

  1. Primary prompt
  2. 2 alternatives
  3. Negative prompt
  4. Suggested settings (aspect ratio, style strength, number of outputs)
  5. One-line revision plan for next iteration
More in Prompts