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Travel Memory Card Duo

Community
carolinaaafy
travel-memory-card-duo

Transform one user-supplied travel, street, landscape, lifestyle, portrait, or pet photo into a coordinated two-image deliverable: one complete horizontal collectible travel memory card and one separate transparent-background PNG containing the exact same six die-cut sticker motifs. Use when Codex needs to P图, stylize a photo as a tactile gouache/cut-paper memory card, provide reusable transparent stickers, make a sticker pack or sticker sheet, or deliver both a finished card and transparent PNG assets. Preserve recognition through one source-derived identification anchor; never retain unintended photography, incidental text, signatures, or watermarks.

Overview

Publishercarolinaaafy
Repositorytravel-memory-card-duo
Skill nametravel-memory-card-duo
Stars
170
Forks
15
Bundled files
2
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 2 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by carolinaaafy on GitHub. Read the source before you install it.

Installation

Install the Travel Memory Card Duo AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/carolinaaafy/travel-memory-card-duo/tree/main
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/carolinaaafy/travel-memory-card-duo.git \
  .claude/skills/travel-memory-card-duo
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Travel Memory Card Duo in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Travel Memory Card Duo on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Travel Memory Card Duo is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Travel Memory Card Duo

Turn one source photo into two matched bitmap deliverables:

  1. A finished 3:2 travel memory card.
  2. A 3:2 transparent PNG sticker sheet containing the same six sticker motifs.

Use the image generation/editing tool for both images. Do not simulate the illustration with filters or code. Use local processing only to remove a flat chroma-key background and validate transparency.

Workflow

  1. Inspect the source photo at full useful detail.
  2. Identify the scene structure, emotional center, dominant spatial gesture, and one compact identification anchor.
  3. Select exactly six meaningful source-derived sticker motifs and exactly three concise English keyword phrases.
  4. Decide whether one source-visible text item genuinely identifies the place. Default to NONE; reject advertising, menus, prices, directions, timestamps, and product labels.
  5. Read references/style-guide.md.
  6. Generate the complete memory card first. Treat its six stickers as the visual master for the second image.
  7. Inspect the card. Regenerate once if the medium, layout, sticker count, keywords, or readable text is wrong.
  8. Generate a separate sticker sheet from the source photo and finished card. Include exactly the same six motifs, shapes, colors, medium, and warm-white cut borders.
  9. Produce transparency with the built-in image-generation transparency workflow: generate the sheet on one uniform removable chroma-key color, then run the installed remove_chroma_key.py helper. Choose a key color absent from the stickers; prefer #ff00ff for foliage-heavy scenes and #00ff00 otherwise.
  10. Validate the final PNG. It must be RGBA, all four corners must have alpha 0, the six stickers must remain fully opaque apart from antialiased edges, and no key-color fringe may remain. Retry removal once with a slightly stronger tolerance or --edge-contract 1 if needed.

Deliverable 1: complete memory card

  • Use one 3:2 horizontal canvas on warm off-white uncoated paper with a continuous 4–5% outer margin.
  • Build the left 66–68% as one large near-square unframed illustration above a shallow exposed-paper keyword footer. Do not add an outline, keyline, mat, inner card, rounded frame, or shadow around the illustration.
  • Center exactly three short scene-derived English keyword phrases once beneath the illustration, separated by centered dots: [keyword 1] · [keyword 2] · [keyword 3].
  • Place exactly six separate die-cut stickers in the right 30–32%. Use the full composition height, an uneven size hierarchy, relaxed spacing, thick irregular warm-white hand-cut borders, and subtle flat paper shadows.
  • Preserve the identification anchor through silhouette, proportion, placement, relationship, and signature colors in the same medium as the whole card.
  • Add no title, caption, date, writing area, postal marks, address lines, subtitle, watermark, or signature.

Deliverable 2: transparent sticker PNG

  • Use a separate 3:2 horizontal canvas.
  • Include exactly the same six stickers from the finished card; do not redesign, replace, split, merge, or add motifs.
  • Arrange the stickers in two relaxed rows with generous transparent space. Keep every sticker fully visible, separated, and uncropped.
  • Preserve the thick irregular warm-white die-cut border around every sticker.
  • Remove the card paper, shadows, footer, keywords, title, labels, and all readable text.
  • Do not add an overall sheet, panel, frame, texture, floor plane, reflection, or cast/contact shadow.
  • Deliver a real PNG with an Alpha channel. A checkerboard, black, or white preview background is not part of the file.

For chroma-key generation, explicitly require a perfectly uniform flat background with no lighting variation, texture, gradients, shadows, reflections, or key color inside the sticker art. Use the installed helper:

bash
python3 "${CODEX_HOME:-$HOME/.codex}/skills/.system/imagegen/scripts/remove_chroma_key.py" \
  --input <chroma-source.png> \
  --out <transparent-stickers.png> \
  --auto-key border \
  --soft-matte \
  --transparent-threshold 12 \
  --opaque-threshold 60 \
  --despill

If the helper needs Pillow, load the Codex workspace dependency runtime and use its Python executable. If soft-matte removal leaves a fringe, retry once with --edge-contract 1; if hard-key removal is cleaner for opaque paper stickers, use a sampled key color and a moderate tolerance. Never claim transparency before checking the Alpha channel.

Shared art direction

  • Rebuild the scene from 5–8 broad source-derived matte color families.
  • Make the first read 3–6 oversized blunt shapes and quiet negative space.
  • Use opaque gouache, cut-paper, risograph, or screen-print-like fills with fine uniform paper tooth, chalky hand-cut edges, light pigment variation, and soft misregistration.
  • Compress foliage into 1–3 lumpy tonal masses; reduce buildings and terrain to planes; reduce people and animals to compact faceless silhouettes.
  • Use flat colored shadows rather than gradients. Keep near-black sparse.
  • Keep the mood observational, spacious, humane, slow, and lightly nostalgic.
  • Avoid photorealism, photographic patches, marker strokes, watercolor washes, wet blooms, glossy 3D, dramatic lighting, detailed leaves or anatomy, polished vectors, anime, clip art, and unrelated objects.

Motif and keyword rules

  • Choose six visible motifs with useful variety: a main-subject fragment, a grouped or paired variation when present, an environmental form, a structural fragment, a functional object, and a small atmospheric or scale cue.
  • Treat a group visible as one sticker when selected as a grouped motif.
  • Keep all six motifs coarse, source-derived, and stylistically identical across both deliverables.
  • Remove lettering when a sticker repeats a landmark sign.
  • Write three precise English keyword phrases grounded in the scene, light, object, or spatial feeling. Prefer Crater Smoke, Blue Summit, or Quiet Ridge over generic words such as Travel or Beautiful.

Quality checks

Complete card

  • The scene is identifiable at a glance but reads first as large shapes and quiet space.
  • The left illustration dominates and is completely unframed.
  • The right column contains exactly six separated stickers with a clear size hierarchy.
  • Exactly three English keyword phrases appear once beneath the left image.
  • No unintended readable text, watermark, signature, or photographic patch remains.

Transparent PNG

  • The file format is PNG and the image mode is RGBA.
  • All four corner alpha values are 0.
  • Exactly six sticker objects remain; none is cropped, touching, or duplicated.
  • The sticker designs match those on the card and retain warm-white cut borders.
  • No paper sheet, colored background, key-color halo, shadow, label, or extra fragment remains.

Delivery

Show both finished images and provide two separate file links. Label them clearly as 完整旅行记忆卡 and 透明底贴纸 PNG. Briefly name the identification anchor, the six sticker motifs, the three English keyword phrases, and both saved paths. State that a dark or checkerboard preview behind the PNG represents transparency only after Alpha validation succeeds.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Travel Memory Card Duo AI skill do?

Transform one user-supplied travel, street, landscape, lifestyle, portrait, or pet photo into a coordinated two-image deliverable: one complete horizontal collectible travel memory card and one separate transparent-background PNG containing the exact same six die-cut sticker motifs. Use when Codex needs to P图, stylize a photo as a tactile gouache/cut-paper memory card, provide reusable transparent stickers, make a sticker pack or sticker sheet, or deliver both a finished card and transparent PNG assets. Preserve recognition through one source-derived identification anchor; never retain unin...

Why use Travel Memory Card Duo on TypingMind?

Because you install it once and use it with any model. Travel Memory Card Duo is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Travel Memory Card Duo in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/carolinaaafy/travel-memory-card-duo/tree/main. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Travel Memory Card Duo?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Travel Memory Card Duo?

As many as you like. As long as a model supports skills, you can use Travel Memory Card Duo with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Travel Memory Card Duo AI skill free?

It is published on GitHub by carolinaaafy. Check the repository for licensing terms. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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