milvus-meme-sticker
Create tiny no-text Milvus-style sticker memes for technical marketing, WeChat-style article moments, community posts, and developer-group reactions. Use when the user wants an original meme/sticker with an abstract Milvus bird/eagle mascot, strong exaggerated emotion, internet-native sticker energy, light-blue accents without making the whole character blue, and deterministic small-size exports such as 512, 240, 120, or 50 px.
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Install
Works with every agent the skills CLI supports.
npx skills add https://github.com/zc277584121/marketing-skills --skill milvus-meme-sticker- 01
Install
Run the command in your project. The CLI asks which agents to install for.
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Describe the task
Ask your agent for something this skill covers. It loads milvus-meme-sticker automatically when relevant.
- 03
Review the result
The agent follows the SKILL.md steps, scripts and references bundled with the skill.
SKILL.md
The instructions your agent reads when the skill is triggered.
Milvus Meme Sticker
Create original sticker-style memes for technical marketing moments. The output should feel like something people would send in a developer WeChat group: compact, expressive, funny, emotionally resonant, and safe to publish because it does not reuse existing meme templates, celebrities, screenshots, anime, or other IP.
Read references/style-guide.md before generating the first sticker in a session.
Workflow
- Identify the emotion from the source paragraph or user request: overwhelmed, confused, relieved, proud, shocked, exhausted, or "why is this so hard?".
- Generate three square variants first unless the user asks for one exact direction.
- Use an abstract Milvus bird/eagle mascot as the recurring character, not a logo copy.
- Keep the image text-free. No captions, labels, letters, UI words, fake code snippets, or speech bubbles with text.
- Prefer a compact sticker composition with a clear silhouette and large readable facial expression.
- Save the best or selected source image at high resolution, then run
scripts/resize_sticker.pyto export true sticker sizes. - Insert or deliver the small exported image, not only the large generation.
Prompt Rules
Use prompts like this, adapting only the emotion and scene:
Square 1:1 sticker-style meme illustration, no text, no letters, no captions.
Original abstract mascot inspired by a Milvus-like bird/eagle, simplified and
not copying any exact logo. The character has a light body with only partial
soft blue accents, a non-blue beak and mouth, oversized expressive eyes, and a
funny exaggerated [EMOTION] expression.
Scene: [SCENE]. Developer-group chat sticker vibe, hand-drawn, thick clean
outline, white sticker border, compact composition readable at small size.
Use a light-blue accent palette with colorful secondary accents; do not make
the whole character blue. No real brands, no existing meme templates, no
celebrities, no screenshots, no IP characters, no text anywhere.
Style Guardrails
- Keep the mascot abstract: bird/eagle-inspired, rounded and sticker-like, not a realistic animal and not a copy of any official mark.
- Use light blue as an accent, not as a full-body flood. Avoid blue teeth, blue mouth interiors, or an all-blue face that loses expression.
- Make the beak, mouth, eyes, sweat, and emotion marks clearly separated in color and value.
- Favor expressive face and body posture over detailed props.
- Use props only when they explain the pain point: documents, connector plugs, database cylinders, cloud buckets, chat bubbles, tickets, code brackets.
- Avoid text because this sticker must travel across languages and stay legible at tiny sizes.
- Avoid photorealism, 3D toy rendering, glossy mascot branding, and polished corporate illustration. It should feel like a hand-drawn sticker meme.
Small-Size Export
Generated images are usually too large to feel like real stickers. Always create small derivatives after generation:
python3 scripts/resize_sticker.py path/to/source.png --out-dir path/to/output-dir
Defaults create:
512x512for article insertion when some detail should remain visible.240x240for WeChat-style sticker main image scale.120x120for thumbnail checks.50x50for tiny panel legibility checks.
Use the smallest version that still reads in context. For Markdown articles, prefer 240x240 or 512x512 plus explicit display sizing if needed.
Quality Check
Before showing the final result, inspect the image and verify:
- No visible text or pseudo-text.
- The mascot is not entirely blue.
- The mouth, beak, eyes, and expression are readable.
- The emotion is obvious even at
240x240. - The sticker silhouette is compact and not too busy.
- The image does not resemble a known meme template, celebrity, anime, or existing IP character.
FAQ
What does the milvus-meme-sticker skill do?
Create tiny no-text Milvus-style sticker memes for technical marketing, WeChat-style article moments, community posts, and developer-group reactions. Use when the user wants an original meme/sticker with an abstract Milvus bird/eagle mascot, strong exaggerated emotion, internet-native sticker energy, light-blue accents without making the whole character blue, and deterministic small-size exports such as 512, 240, 120, or 50 px.
How do I install milvus-meme-sticker?
Run npx skills add https://github.com/zc277584121/marketing-skills --skill milvus-meme-sticker in your project. The skills CLI detects the agents you use and copies the skill into the right folder. For Claude Code you can also place the skill folder at ~/.claude/skills/milvus-meme-sticker/ (personal) or .claude/skills/milvus-meme-sticker/ (project).
Which AI agents can use milvus-meme-sticker?
Any agent that supports the open Agent Skills format (a folder with a SKILL.md file), including Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, Windsurf, Cline, OpenCode and more.
Is milvus-meme-sticker safe to install?
No partner security audit is available yet. Skills can run commands and scripts, so read the SKILL.md and any bundled files before installing.
Who maintains milvus-meme-sticker?
It is published by zc277584121 in zc277584121/marketing-skills. It has 2,340 recorded installs.
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