表情包提示词生成器

SKILL前端设计
前端设计 未标注权限 许可证不明确
安装这个技能

表情包提示词生成,生图时图片比例1:1

一句话选型结论

按资料字段整理

表情包提示词生成器是前端设计类的 Agent Skill,安装方式未标注,权限级别未标注,许可证不明确,有可直接复制的安装命令。技能本质是给模型读的说明书,效果取决于模型与客户端;装完先用一个小任务验证,再放进正式流程。

分类前端设计 安装方式未标注 权限级别未标注权限 许可证许可证不明确
累计安装 未标注 本周 未标注
GitHub 星标 未标注 仓库 未标注
下载量 未标注 技能市场下载数
权限级别 未标注权限 安装前请确认风险范围
许可证 许可证不明确 未说明

安装

未标注
在支持 Skills 的客户端里执行,装完问一句「你有哪些技能」验证
skillhub install user_b9002c32/yeyoushen20260726
  1. 1
    确认客户端支持

    确认你的客户端支持 Skills(Claude、Codex、Cursor 等),并升级到较新的版本。

  2. 2
    拿到技能文件

    执行上面的命令安装;也可以把仓库里的 SKILL.md 手动放进客户端的 skills 目录。

  3. 3
    刷新技能列表

    重新打开客户端,或刷新技能列表,让新放进来的技能被加载。

  4. 4
    验证是否生效

    问一句「你有哪些技能」,确认列表里出现它,再拿一个小任务试跑。

技能档案

前端设计
字段来自技能仓库与公开索引,中文说明由本站标注
作者 / 维护方user_b9002c32仓库 未标注 · 版本 未标注
宿主客户端未标注技能可被这些客户端加载
安装方式未标注安装包 community
权限级别未标注权限安装前请确认风险范围
许可证未说明许可证不明确,商用前请自行确认条款
仓库可用性available技能仓库当前是否可访问
最近核验未标注上游最后核验时间 · 数据更新 1791663876
正文体量12.0 KBSKILL.md 原文大小,越大说明说明书写得越细

典型使用场景

3 类
按分类整理的常见用法,具体以 SKILL.md 为准
出页面与组件

按描述生成页面结构和组件草稿。

调整样式与布局

改间距、配色与响应式布局。

生成设计说明

把设计稿整理成开发能接的说明。

选择建议

装之前先看这几条
按条目字段给出的判断,不替你决定用不用

值得选的地方

  • 有可直接复制的安装命令,不用自己翻文档找入口。

先想清楚的地方

  • 没有标注权限级别,实际能做什么要装好后确认。
  • 许可证不明确,商用或二次分发前先到仓库确认条款。
  • 没有做站内核验,内容以作者仓库为准。
  • 技能只是说明书,实际效果取决于模型与客户端,装完先用小任务试一遍。

更适合

  • 需要在前端设计场景里给模型补一套做法的人。
  • 愿意先读一遍 SKILL.md、确认它会让模型做什么的人。

不太适合

  • 对许可证要求很严、必须明确可商用的人。
  • 只想装完就自动变强、不打算看说明书的人。

同类对比

6 个同类
同分类里挑最接近的几条,字段以各自详情页为准
技能权限级别安装方式累计安装宿主客户端安装命令
表情包提示词生成器当前 未标注权限 未标注 未标注 未标注 有
前端设计 只读 GitHub 仓库 882.3 万 Codex、Claude、Cursor 有
Vercel 组合模式 联网访问 GitHub 仓库 385.9 万 Codex、Claude、Cursor 有
Vercel React native skills 前端 只读 GitHub 仓库 246.9 万 Codex、Claude、Cursor 有
adapt 搜索 浏览器控制 GitHub 仓库 202.7 万 Codex、Claude、Cursor 有
使用我的浏览器 浏览器控制 GitHub 仓库 184.8 万 Codex、Claude、Cursor 有

SKILL.md 全文

12.0 KB
模型实际读到的说明书原文,来自技能仓库

Emoji Pack Ideation

Goal

Turn a rough audience, emotion, character, meme trend, reference image, or topic into a practical WeChat sticker pack plan: positioning, style direction, character persona, concrete sticker contents, and image-generation prompts when needed. Prioritize stickers that users will save, reuse, send in chat, and potentially reward/tip.

Mode Selection

Use Topic Planning Mode when the user wants 表情包选题, 爆款方向, 打赏型策划, 人设, 风格建议, or content lists.

Use 16-Grid Rough Sticker Prompt Mode when the user provides or mentions reference images, a 16-grid sticker layout, 多行中文文案, 鼠标乱画, MS Paint, 低质量真实感, or asks to output a prompt/spec for generating a complete sticker collage.

Core Judgment

Optimize for chat utility before pure illustration quality. A strong pack usually has:

  • Accurate high-frequency emotion: speechless, collapse, perfunctory, sarcastic, aggrieved, smug, guilty, social-anxious, cute, healing, or mildly unhinged.
  • Frequent chat scenarios: work replies, friend roasting, group chat watching, intimate relationship comfort, greetings, thanks, apologies, refusal, and ending conversations.
  • Short sharp text: usually 2-8 Chinese characters, readable in a tiny WeChat chat bubble.
  • Clear small-size silhouette: exaggerated expression/action, low clutter, strong outline.
  • Stable persona: users should feel they are adopting a chat personality, not sending random one-off images.
  • Mild edge without real harm: playful, slightly rude, or teasing is fine; avoid cruelty, heavy insult, and overly niche references unless requested.

For tip/reward potential, weight companionship and emotional value more heavily than shock value. Reward-friendly packs often feel soft, repeatable, complete, and made with care.

Topic Planning Workflow

  1. Clarify or infer the target user and relationship context: friends, coworkers, couples, family, fan community, students, creators, or general WeChat users.
  2. Choose one primary emotional engine. Do not make the pack only generally cute or funny; anchor it in a repeatable tension such as soft but resentful, obedient but internally screaming, cute but poisonous, fragile but stubborn, calm outside and broken inside.
  3. Define the character persona in one sentence: species/person/object, personality, speech habit, and social role.
  4. Recommend visual style around chat readability: shape language, line weight, color palette, expression exaggeration, typography placement, and animation/static suggestion if relevant.
  5. Build a complete content matrix, covering daily-use stickers before novelty stickers.
  6. Score the idea and identify the weakest dimension before giving the final recommendation.

Scoring

Score each dimension from 1-5 and provide a one-line rationale:

  • Emotion precision: does it express a real high-frequency feeling?
  • Reuse frequency: will users send it every day or every week?
  • Persona memorability: is the character recognizably itself across 16-40 stickers?
  • Tip potential: does it create companionship, cuteness, empathy, or gratitude?
  • Production scalability: can the same visual system produce many stickers without becoming repetitive?
  • Safety/social comfort: can users send it without awkwardness in common relationships?

If the average is below 3.5, revise the topic before drafting a full pack.

Style Recommendations

Always give concrete style advice, not generic adjectives. Include:

  • Character form: animal, dumpling-like creature, office object, tiny deity, human chibi, food, plant, blob, or other form suited to the premise.
  • Shape and expression: round/soft for reward-friendly companionship; angular/squashed for sarcasm or collapse; big eyes and tiny limbs for weak-but-cute energy; deadpan face for cold humor.
  • Color system: 2-3 main colors plus text color. Favor clean, readable contrast over complex gradients.
  • Text treatment: short Chinese phrases, thick readable font, text outside the most expressive face area, no tiny multiline paragraphs.
  • Action grammar: repeatable poses such as bowing, rolling away, lying flat, holding sign, peeking, crying, hugging, clapping, saluting, hiding, melting, exploding, and presenting a blank face.
  • WeChat readability: large face/action, minimal background, strong contour, avoid tiny props unless they carry the joke.

Content Matrix

When asked for content suggestions, output 16-24 stickers by default unless the user requests another number. Cover these buckets:

  • Basic replies: 收到, 好的, 嗯嗯, 在呢, 不在, 明白了
  • Emotion reactions: 笑死, 无语, 崩溃, 委屈, 害羞, 得意
  • Social moves: 谢谢, 对不起, 辛苦了, 抱抱, 加油, 晚安
  • Refusal and boundary: 不要, 别催, 我撤了, 你先, 下次一定
  • Relationship/intimacy: 想你, 贴贴, 哄我, 原谅你了, 亲亲, 求抱
  • Work/study pain: 在忙, 已读乱回, 假装懂了, 不想上班, 马上改
  • Group-chat utility: 吃瓜, 围观, 路过, 鼓掌, 震惊, 退下了
  • Signature meme pieces: 2-4 phrases that only this persona would say.

For each sticker, include: text, emotion/use case, visual action, and why it is useful.

16-Grid Rough Sticker Prompt Mode

Use this mode to produce a single copy-ready generation spec or prompt for a 16-sticker collage based on reference images and Chinese copy.

Inputs To Expect

  • Image 1: character reference. It may contain one or more people, pets, or combinations.
  • Image 2: layout reference. Use it only to understand a 4x4 16-grid structure; do not copy its style unless requested.
  • User copy: multiline Chinese text, fewer or more than 16 lines.

If images are not actually attached, state that the prompt is a template and leave bracketed placeholders such as [角色参考图] and [16格版式参考图].

Character Recognition Rules

Identify every usable character in the reference image. Any human, animal, or pair/group can become a sticker protagonist. Different stickers may use different characters. Multi-character interaction is allowed when the chat emotion benefits from it: sticking together, fighting over space, staring, grabbing, pushing away, comforting, or ignoring each other.

Preserve only the minimum recognizability traits: hairstyle outline, rough color blocks, iconic clothing/accessory, body size relationship, pet ears/tail/markings, or another obvious marker. Do not preserve realism.

Error Consistency Rule

The collection must use error consistency, not realistic consistency.

The same character does not need to look identical across stickers. It must look like the same unskilled person drew it badly 16 times. Keep consistent:

  • the same clumsy drawing method
  • the same simplification choices, such as symbolic face, stick body, blob body, or lopsided head
  • the same mistakes, such as shaky lines, bad proportions, misplaced features, and missing details
  • the same level of visual chaos

Allow facial drift, changing proportions, broken anatomy, missing details, and structural mistakes. Consistency means being wrong in the same way.

Layout Rules

Generate exactly 16 stickers in a clear 4x4 grid. Each cell must read as an independent chat sticker. A single sticker may be messy, but the overall grid must remain legible and separated.

Never use visible numbering in the final visual. Do not make the stickers feel sequential. Treat the 16 cells as 16 independent, random, temporary expressions.

Copy Handling

If the user provides fewer than 16 lines, complete the rest in the same voice. If they provide more than 16 lines, choose the 16 with strongest emotion, spread, and visual potential.

Prioritize:

  • roasting, self-talk, emotional explosion, perfunctory replies, impatience, absurdity
  • internet-native Chinese phrasing
  • uneven length: some very short, some crowded, some almost blank
  • strong readability and instant emotional recognition

Avoid polite standard replies, stiff customer-service phrasing, repeated sentence structures, and common template phrases such as 你好, 哈哈, 在吗 unless the user explicitly wants them.

Handwritten Text Rules

Text must feel drawn, not typeset. Specify that Chinese words are mouse-handwritten: crooked, shaky, uneven in size, irregular spacing, squeezed, tilted, partly overlapping, sometimes attached to the character, sometimes on the edge.

Allow repeated characters, stretched sounds, chaotic punctuation, and ugly handwritten forms. Preserve readability; the audience must still understand the text.

Visual DNA

The style source is extremely bad hand drawing + MS Paint mouse scribble + failed imitation of the reference image. Enforce:

  • shaky jagged mouse lines
  • rough pixel edges
  • failed proportions
  • stick figures, symbolic faces, blob bodies, or very simplified shapes
  • almost no polished detail
  • low-quality, real, funny, direct, absurd emotion
  • blurred resemblance to the reference image, like a failed copy drawn from memory

When realism conflicts with style, prioritize style. If the output starts looking beautiful, polished, correctly proportioned, clean, or designed, it has failed. Push it back toward rough, messy, low-skill, and funny.

Image-Text Relationship

The image and text must feel created in one action: someone draws badly with a mouse and writes whatever they think at that second. Do not describe it as designed artwork with later captions added. Each cell should feel accidental, temporary, half-bothered, and unexpectedly funny.

The text may intensify the emotion, roast the character, become self-talk, or slightly mismatch the drawing to create absurd humor. Precision is less important than funniness.

Output Format For This Mode

Default to Chinese. When the user asks for a prompt, output a ready-to-copy prompt in this structure:

  • 任务目标
  • 输入图像说明
  • 角色识别与使用规则
  • 16格结构
  • 文案处理
  • 错误一致性
  • 文字绘制规则
  • 视觉风格DNA
  • 每格生成要求
  • 负面约束
  • 最终效果

When useful, add a compact 16格内容分配 table before the final prompt. The table may be numbered for the user to review, but the generated visual itself must not contain numbers.

Topic Planning Output Format

Use Chinese by default. Keep the answer practical and production-oriented. Preferred structure:

  1. 选题定位: one concise recommendation.
  2. 适合人群/聊天关系: who will use it and where.
  3. 人设: stable character description and speech style.
  4. 风格建议: visual form, palette, typography, action grammar.
  5. 爆款/打赏判断: score table or compact score bullets with improvement notes.
  6. 表情包内容建议: a table with text, scene, visual action, and priority.
  7. 可扩展方向: how to make series 2 or seasonal variants.

Practical Defaults

  • If the user gives no topic, propose 3 directions and recommend the strongest one.
  • If the user wants a reward/tip-friendly pack, bias toward soft cute companionship plus high-frequency daily phrases.
  • If the user wants viral spread, allow sharper sarcasm and stronger contrast, but still keep the pack usable in normal WeChat chats.
  • If the user wants commercial/IP potential, emphasize persona consistency, series naming, color ownership, and scalable content buckets.
  • If the user gives an existing character, preserve its core traits and translate them into chat scenarios instead of replacing the character.
  • If the user asks for the rough 16-grid style, do not polish. The aesthetic goal is: a person who cannot draw used a mouse to scribble 16 times and accidentally made something funny.

常见问题

5 问
答案由本站依据条目字段整理
表情包提示词生成器怎么安装?

在支持 Skills 的客户端里执行:skillhub install user_b9002c32/yeyoushen20260726。安装方式为未标注。装完刷新技能列表或重开客户端。

表情包提示词生成器支持哪些客户端?

资料没有标注宿主客户端,但只要客户端支持 Skills(Claude、Codex、Cursor 等),一般都能加载。

表情包提示词生成器权限高吗,安全吗?

权限级别为未标注权限。安装前先看它会读取或写入哪些内容。

表情包提示词生成器收费吗?

本站不代收费用,也没有标注具体价格。是否收费取决于技能本身和所用的模型或客户端,正式使用前按作者说明确认。

表情包提示词生成器用什么许可证?

许可证标注为 未说明(许可证不明确)。商用或二次分发前请到仓库确认条款原文。

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技能内容以作者仓库为准;分类、权限级别与许可证状态的中文说明为中文整理,最近核验 未标注。