Skills

Travel Memory Sticker Card

Transform a user-uploaded photograph into one horizontal collectible memory card with a...

Install

npx skills add carolinaaafy/travel-memory-sticker-card --skill travel-memory-sticker-card -g -a claude-code -y
Category
Engineering
Updated
2mo ago
License
See repository
Context cost
Mediumabout 1,763 tokens
Runs scripts
No, instructions only

What it does

Transform a user-uploaded photograph into one horizontal collectible memory card with a large quiet editorial illustration, six integrated journaling-sticker motifs, three small English keywords beneath the left illustration, tactile paper grain, and deliberately clumsy flat color fields. Use when Codex needs to P图, edit, redraw, stylize, or turn a travel, street, landscape, lifestyle, portrait, or pet photo into a minimalist postcard-like card or sticker-card in this visual language. Preserve recognition through one same-medium identification anchor and optionally one exact place-defining landmark text shown once; never retain an unintended photorealistic patch, signature, or watermark.

Travel Memory Sticker Card

Turn one user photo into one finished bitmap memory card. Use the image generation/editing tool; do not simulate the result with filters or code.

Workflow

  1. Inspect the source image at full useful detail.
  2. Identify the scene structure, emotional center, dominant spatial gesture, and one compact identification anchor.
  3. Decide whether any source text is truly a landmark anchor. Default to NONE; retain one exact text item only when it materially identifies the remembered place.
  4. Select exactly six source-derived sticker motifs and exactly three concise English keywords.
  5. Read references/style-guide.md, then generate from the source photo.
  6. Inspect the result. Regenerate once if the first read is detail rather than large shapes and quiet space, if the image looks photographic or painterly, if the sticker count is wrong, or if required text is wrong.

Fixed card system

Read the whole SKILL.md on GitHub

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