muapi-chibi-collage-effect
Turn a real lifestyle photo into a polished "chibi clone sticker diary" image — the original person stays photorealistic, surrounded by 5–8 kawaii chibi mini-clones, scrapbook doodles, and handwritten-style captions that match the scene.
Install / Use
npx skills add SamurAIGPT/Generative-Media-Skills --skill chibi-collage-effectInstalls into whichever agent you are using.
SKILL.md
Installable skill definition
Quality Score
Category
Development & EngineeringSupported Platforms
Our assessment of muapi-chibi-collage-effect
muapi-chibi-collage-effect scores 82/100 on our quality scale, 1721st of 3,168 Development & Engineering skills we index.
Its SKILL.md is 4.9 KB long, split into 6 sections and no code examples: a solid amount of guidance for an agent.
With 4,329 GitHub stars, it is one of the more widely adopted skills in the catalogue.
Maintenance, license and trust
- The repository was last updated 19 days ago, so muapi-chibi-collage-effect is actively maintained.
- It is released under the MIT license, a permissive license that allows use, modification and commercial use with attribution.
- Its trust signals score 100/100, with no cautions. These come from repository metadata, not a code audit — read the skill file before letting an agent act on it.
Safety scan
ReviewOur scan of the whole file found 1 pattern worth reviewing before you install muapi-chibi-collage-effect.
- mediumSends the output of a local command to a remote serverline 60
…CLI alias yet, fall back to the raw endpoint via `curl -X POST https://api.muapi.ai/api/v1/<endpoint> -H "x-api-key: $MUAPI_API_KEY" -H 'con…
Automated pattern scan on 2026-09-28. It catches known dangerous patterns, not every risk — read a skill before letting an agent act on it.
muapi-chibi-collage-effect compared with similar skills
All 4 of these similar skills score higher than muapi-chibi-collage-effect; compare them before choosing.
| Skill | Score | Stars | Updated | Format |
|---|---|---|---|---|
| muapi-chibi-collage-effect (this skill)by SamurAIGPT | 82 | 4.3k | 19d ago | SKILL.md |
| Agent-Reachby Panniantong | 100 | 85.9k | 13d ago | CLAUDE.md |
| headroomby headroomlabs-ai | 100 | 74.0k | 1d ago | CLAUDE.md |
| ai-job-searchby MadsLorentzen | 100 | 44.3k | today | CLAUDE.md |
| claude-howtoby luongnv89 | 100 | 41.7k | 2d ago | CLAUDE.md |
Frequently asked questions
- How do I install muapi-chibi-collage-effect?
- Run
npx skills add SamurAIGPT/Generative-Media-Skills --skill muapi-chibi-collage-effect. The install tabs above show the steps for each supported agent. - Which AI agents does muapi-chibi-collage-effect work with?
- It is written for Universal, as a SKILL.md file. Other agents that read the same format can often use it too.
- Is muapi-chibi-collage-effect safe to use?
- Our scan of the whole file found 1 pattern worth reviewing before you install muapi-chibi-collage-effect. It is MIT-licensed and scores 100/100 on trust signals. Skills are instructions an agent will follow, so read the file before installing it and do not approve commands you do not understand.
- Is muapi-chibi-collage-effect still maintained?
- The repository was last updated 19 days ago, so muapi-chibi-collage-effect is actively maintained.
Skill content
View source on GitHubslug: muapi-chibi-collage-effect name: muapi-chibi-collage-effect version: "1.0.0" description: Turn a real lifestyle photo into a polished "chibi clone sticker diary" image — the original person stays photorealistic, surrounded by 5–8 kawaii chibi mini-clones, scrapbook doodles, and handwritten-style captions that match the scene. acceptLicenseTerms: true
Chibi Collage Effect
Turn a real lifestyle photo into a polished "chibi clone sticker diary" image — the original person stays photorealistic, surrounded by 5–8 kawaii chibi mini-clones, scrapbook doodles, and handwritten-style captions that match the scene.
Inputs
| Name | Type | Required | Default | Description |
|:---|:---|:---|:---|:---|
| person_image | image_url | yes | — | A clear lifestyle photo of the person. Setting, outfit, mood, and activity are read from this image and drive the chibi poses and captions. |
Steps
Phase A — Chibi Collage Generation
If {{person_image}} is not provided, ask the user to upload a lifestyle photo (café, outdoor, cozy at home, travel, etc.). The scene context is what makes the chibi clones feel native to the moment, so a generic studio headshot will give weaker results than a real lifestyle shot.
Once the photo is available, submit the plan with ONE step to generate the chibi collage:
- Chibi Collage Generation —
muapi image edit(model=gpt-image-2-image-to-image):- Reference Image:
{{person_image}} - Image size:
2160x3840(9:16 portrait) — high-resolution social-media-ready output - Background:
auto - Output format:
png - Quality:
auto - Moderation:
low - Prompt:
Create a high-quality "chibi clone sticker diary photo" based on the uploaded real-life image. Preserve the original person's identity, face, hairstyle, hair color, outfit, body proportions, pose, lighting, and background. Do not alter facial features or turn the subject into a full illustration—maintain a realistic photo look. Analyze the uploaded image carefully: identify the setting, mood, activity, clothing style, and overall vibe of the scene. Use this analysis to determine the theme of the chibi stickers, poses, emotions, and text phrases — everything should feel native to the actual moment captured in the photo. Add 5–8 chibi mini clones of the same person around the subject, designed in a consistent kawaii sticker style (big head, small body, large expressive eyes, clean digital finish). Each clone must clearly resemble the real person (same hair, outfit, colors). Design each chibi with different actions and emotions that are directly relevant to what the person is doing or feeling in the photo — inferred naturally from the scene (e.g. if they're at a café: sipping coffee, reading, daydreaming, chatting; if outdoors: exploring, laughing, taking photos; if cozy at home: cuddling, reading, relaxing). Ensure all poses are unique and contextually matched to the image. Render each chibi as a sticker with white outlines, soft shadows, and a slightly floating effect. Arrange them around the subject and edges without covering the face or main body. Add light hand-drawn doodles (hearts, sparkles, arrows, motion lines, circles, stars) in white with subtle pink accents, keeping a clean scrapbook diary feel. Doodle style should complement the mood of the scene. Include 5–8 short handwritten-style phrases that match the mood and context of the uploaded photo — cute, expressive, and scene-appropriate. Use mostly white text with slight pink highlights and small decorative marks. Composition: keep the real person as the central focus, surrounded by chibi stickers and doodles. The result should feel like a polished, playful, high-resolution social media lifestyle diary image — clean, balanced, and visually rich without clutter.
- Reference Image:
Present the generated chibi collage to the user. Suggest variations they can try: different source photos (travel, café, cozy-at-home), or asking to bias the captions toward a specific tone (cute, sassy, journal-style).
Trigger Keywords
chibi collage, chibi sticker diary, mini me stickers, kawaii clone collage, sticker diary photo, scrapbook chibi
Notes for the Executing Agent
- This recipe is LLM-orchestrated: read each phase, gather any missing inputs from the user, then call
muapiCLI commands. Usemuapi auth configurefirst ifMUAPI_API_KEYis unset. - For model IDs without a CLI alias yet, fall back to the raw endpoint via
curl -X POST https://api.muapi.ai/api/v1/<endpoint> -H "x-api-key: $MUAPI_API_KEY" -H 'content-type: application/json' -d '{...}'and poll withmuapi predict wait <request_id>. - Substitute
{{input_name}}placeholders with the user's actual inputs before issuing each call. - Source schema reference:
gpt-image-v2-editmaps togpt-image-2-image-to-imagein the muapi catalog. - The output is intentionally 9:16 (2160×3840) so it's ready for IG Stories / Reels / TikTok / YT Shorts without re-cropping.
Related Skills
Agent-Reach
85.9kGive your AI agent eyes to see the entire internet. Read & search Twitter, Reddit, YouTube, GitHub, Bilibili, XiaoHongShu — one CLI, zero API fees.
headroom
74.0kCompress tool outputs, logs, files, and RAG chunks before they reach the LLM. 20% fewer tokens for coding agents, 60-95% fewer tokens for JSON, same answers. Library, proxy, MCP server.
ai-job-search
44.3kThe job search that runs on your machine. AI job application framework built on Claude Code: evaluate postings, tailor CVs, write cover letters, prep interviews. Fork it and own it.
claude-howto
41.7kA visual, example-driven guide to Claude Code — from basic concepts to advanced agents, with copy-paste templates that bring immediate value.
Languages
Trust signals
From repository metadata: license, adoption, age and documentation. Not a code audit — see the Safety scan above for what the skill file itself contains.
