专注力公众号(配图)

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

专注力/亲子教育公众号文章的配图生成。只负责出图,不写文:读取已经写好的成稿正文,按固定的水彩风格(纯白底、暖黄+天蓝、圆润可爱人物)生成 1 张封面 + 3 张正文插图,做纯白底校正,输出每张图对应的正文原句、镜头备注、完整生图提示词与落盘路径,并按电脑网页版 / 手机 App 分端交付。触发词:配图、生图、生成插图、给文章配图、文章配图、画一张、封面图、正文插图、提示词、出图、这篇稿子配几张图、专注力配图。

一句话选型结论

按资料字段整理

专注力公众号(配图)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_3c99fdb9/peitu
  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_3c99fdb9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2026-11-06上游最后核验时间 · 数据更新 2026-11-06
正文体量16.1 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
专注力公众号(配图)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

16.1 KB
模型实际读到的说明书原文,来自技能仓库

专注力公众号(配图)

Only makes the images for a finished article. This skill never writes, rewrites, or judges the copy — it reads an existing body, decides where the pictures go, and produces the four illustrations in this account's locked watercolor style.

输入:一篇文章的成稿正文(粘贴的正文、工作区里的 HTML、或已经定稿的 Markdown)。
输出:4 张配图 + 纯白底校正 + 每张图的可追溯信息(原句 / 镜头备注 / 完整提示词 / 落盘路径)+ 分端交付包。

Use the skill when the user asks for:

  • Illustrations for an article they already wrote: "给这篇稿子配图", "配 4 张", "生成封面和正文插图".
  • An illustration set for an existing article file in the workspace.
  • Illustration prompts only, without spending credits.
  • Regenerating one specific image that failed the style or traceability check.
  • The image half of the article workflow, separated from the writing half.

Do not use this skill when the user wants writing, topic selection, a ten-beat outline, titles, summaries, or a publishing check — that is the 专注力公众号 (writing) skill. If the user hands over only a topic ("写一篇前额叶的文章") and no body, say which skill produces the body, and offer to run the writing skill first; do not invent a body here and then illustrate your own draft without saying so.

Core Positioning

  • The copy is the source of truth, never the other way round. Every visible element in a picture must be traceable to a sentence the finished body already contains. No invented plot, prop, animal, age, subject, or emotion.
  • Four images, fixed: 1 cover + 3 in-body. Never silently vary the count. The cover illustrates the hook's scene, not a generic study picture.
  • The white background is not a prompt suggestion, it is a verified value. Every file goes through scripts/normalize-white-bg.py and its border pixels are checked before it ships.
  • The four images must read as four different pictures. Style consistency locks the cast; it never locks the composition. Subject count, framing, and angle all vary.
  • Say the credit cost, get confirmation, then generate. About 5-10 credits per image, 20-40 for the set.

Default Delivery Mode

  • Default is: generate 4 images, correct the background, and hand back the files with the image list (原句 / 镜头备注 / 路径 / 完整提示词).
  • Always state the estimated credit cost and wait for confirmation before the first image call. Never generate silently.
  • Ask which client the article will be published from before choosing a delivery form: 电脑网页版 mp.weixin.qq.com gets a base64-inlined preview; 手机 App gets a numbered image package, because the phone app cannot carry rich-text images on paste.
  • If the finished article exists as an HTML file in the workspace, insert the images at the four positions, run scripts/inline-images.py --in-place, and present that preview. If no HTML exists, deliver the local files plus assets/image-sheet.html as a contact sheet.
  • Keep every planning note, every prompt, and every check outside the deliverable image list. Revisions are local: regenerating one image never re-generates the other three.

Required Workflow

  1. Make sure the assets exist. The shipped package contains text only — the five brand images travel as base64 inside assets/_packed/ because the marketplace rejects binary uploads. Before the first run, check that assets/fixed/article-header.png and assets/style-references/ref-01-reading-with-mom.jpg are present; if either is missing, run python3 scripts/restore-assets.py once. Without the anchors the locked style cannot be matched, and without the two fixed images the article layout is incomplete. The script verifies every file against the sha256 in assets/_packed/manifest.json and is safe to re-run.
  2. Read the body first. Identify the hook scene, the paragraph where the problem is reframed, the start of the actionable section, and the paragraph before the practice or game card. These four anchor sentences decide the four pictures. If no body was supplied, stop and ask for it.
  3. Quote and extract. For each of the four positions, quote the exact sentence from the body, then extract only who is present, where they are, what they are doing, the visible objects, and the tone. Nothing enters a prompt that the quoted sentence does not contain.
  4. Assign four distinct shot notes before writing any prompt — subject and action, framing (wide / medium / close), angle (frontal / side / three-quarter / over-the-shoulder / top-down). At least one image must be the child alone with no adult, and at least one must be an object-or-detail shot with no face in frame. See references/image-plan.md.
  5. Confirm the cost. Tell the user 4 images, roughly 20-40 credits, and wait for a yes.
  6. Generate. 1536x1024 landscape, up to three style anchors from assets/style-references/ as image input with a high input_fidelity, background instruction first in every prompt. Full prompt constraints: references/illustration-style.md.
  7. Correct the white background. Run python3 scripts/normalize-white-bg.py <workspace>/images/<slug>/ after every generation. Regenerate anything that still reads gray.
  8. Verify each file. Border pixels at 255, no watermark or logo in any corner, no text or letters inside the picture, no anxious or shaming depiction, and every object justified by a quoted sentence.
  9. Deliver per client. Computer web: insert at the four positions and run python3 scripts/inline-images.py <file>.html --in-place, then present the preview. Phone app: deliver a numbered 1080px JPEG package. Details in references/delivery.md.
  10. Deliver in the fixed shape. Follow templates/image-list.md: 生图计划 → 积分确认 → 配图清单 → 交付说明 → 发布检查. Planning notes, full prompts, and checks stay outside the image list itself.
  11. On failure, degrade, never block. If one image fails, keep the others, keep the full prompt for the failed one, and tell the user what to retry. The article is never held up by an image.

Image Set

Four generated images per article, on top of the two fixed brand images.

Image Placement Illustrates
cover.png Directly below the finished opening copy, never at the top of the article the hook's scene
body-1.png After the analytical or reframing section the problem being described
body-2.png At the start of the actionable section the concrete behavior the advice targets
body-3.png Before the practice or game card the parent and child doing the method
  • Size: 1536x1024 landscape for all four. Do not request 2:3 or 2.35:1 here; those ratios belong to the writing skill's optional cards and cover slot.
  • Storage: <workspace>/images/<article-slug>/, named cover.png, body-1.png, body-2.png, body-3.png.
  • The two fixed brand images (assets/fixed/article-header.png, assets/fixed/article-footer.jpg) are reused unchanged and cost no credits. They belong to the article layout, not to generation — see references/delivery.md for when to insert them.

Match the Copy

The hardest rule in this skill, and the one most often broken.

  1. Quote the sentence the image sits next to. If no sentence matches, the position is wrong — move the image, do not invent one.
  2. Build the prompt from those extracted facts only.
  3. Never add a plot beat, prop, character, animal, age, school subject, or emotion the body does not mention. A pet, a sibling, a toy, a trophy, or a decorative plant the copy never names is a regeneration, not a charm.
  4. Keep the cast identical across all four: the same child (age, hairstyle, clothing color), the same parent (hairstyle, clothing), the same room and desk objects. Continuity carries over between images.
  5. One scene per image, tied to one paragraph. Do not merge unrelated paragraphs into a single picture.
  6. When the body describes a state ("坐不住"), draw the concrete behavior the text describes — turning a pencil, looking out the window — never an abstract symbol or a mood icon.
  7. A face-free object shot follows the same rules: one centered arrangement, same white space, no character, and only objects the copy names.

Differentiation Across the Four Images

Consistency of cast must never turn into four look-alike pictures. The most common failure is four images of "child and mother together at the desk": the cast lock keeps the characters identical, so the scenes drift into the same picture while the camera angle is the only thing that moves.

  • Two images may not share the same subject + action + framing triangle.
  • Force variety by subject count first, then framing, then angle.
  • Every set contains at least one solo-child shot with no adult, and at least one shot where no face appears at all.
  • Do not reuse a prompt, a composition, or a "generic child studying" scene from another article. The four prompts are written from this article's sentences only.
  • Read the four shot notes side by side and ask whether a reader scrolling the article would feel they saw the same picture four times. If yes, redo the weaker one.

Locked Illustration Style

Full specification: references/illustration-style.md. The short version, which must appear in every prompt:

  • Warm watercolor with soft colored-pencil linework, gentle grain, soft edges, no harsh outlines.
  • Flat pure white background, RGB 255/255/255, uniform across the entire frame — written first, every time. No fill blocks, gradients, frames, borders, tints, or vignette. Never write "warm paper", "watercolour paper", "cream", "beige", "ivory", "soft gray", "off-white", "parchment", or "textured background".
  • Cute rounded characters: round faces, large eyes, soft blush, fluffy brown hair; the mother wears a high bun, the child is about 5-8.
  • Bright warm yellow and sky blue lead, with small accents of orange-yellow, mint green, and pale pink hearts.
  • Signature motifs: open and stacked colorful books, small potted plants, small stars, tiny hearts, short yellow spark lines.
  • One centered scene, landscape, generous white space, warm and encouraging; the child is smiling.
  • No text, letters, or watermark anywhere in the picture.
  • Never copy another account's original characters, compositions, logos, or signature visual devices.

White Background Guarantee

Image models drift toward a pale gray ground even when the prompt says white (measured: borders at RGB 250-252). The prompt alone is not sufficient.

python3 scripts/normalize-white-bg.py <workspace>/images/<article-slug>/

It does two passes. First it measures the border background and lifts the whole picture by the difference, so the ground lands on 255 while painted elements keep their relative contrast (a lift of 3-5 levels, invisible in the artwork). Then it snaps every pixel whose darkest channel is at or above 240 to pure white — a median lift alone still leaves individual corners at 249-253 on a grainy watercolour scan, and this second pass is what makes all four corners read exactly 255. Run it after every generation, before delivery, with no exceptions. It skips images already pure white and leaves genuinely colored artwork untouched; --snap 0 disables the second pass. If a file still reads gray after the pass, regenerate it with the background instruction moved to the front of the prompt rather than shipping it.

Prompt Shape

<style prefix including the pure-white background>。场景:<从正文原句提取的具体画面,含人物动作与关键物件>。镜头:<主体数量(孩子独处 / 只出现手和物件、无脸 / 亲子同框)+ 景别 + 视角>。人物:<本组固定的一致外观>。<禁止项:无文字无水印、无焦虑或指责神态、不模仿其他账号角色>

Never send a prompt that contains a sentence the body does not support.

Content Standards

  • No watermark or logo. Some image models stamp a corner. Inspect the border of every file; a stamped image is regenerated or the pure-white area painted out before it ships — never delivered with the stamp.
  • No text or letters inside the picture, including on books, papers, and blackboards. When the copy mentions writing, draw the child's hand and pencil, not legible characters.
  • No anxious, shaming, or scolding depictions. No child holding their head in distress, no angry adult, no punitive posture.
  • No other account's characters or signature compositions.
  • No real children. Generated images only. Classroom photos, student examples, and case results require explicit user-provided authorization and privacy protection; they are never produced by this skill.
  • Never imply a promised outcome in a picture (no trophy, no award, no scoreboard the copy does not mention).

Delivery

Full detail: references/delivery.md. Two forms, chosen by client:

  • Computer web — images inserted into the article HTML at the four positions, then scripts/inline-images.py --in-place so every src is a base64 data URI. Verify with grep -c "data:image" <file>.html; a 0 means the paste will arrive without pictures.
  • Phone app — the 微信公众平台 App cannot carry rich-text images on paste. Deliver a numbered package (1080px JPEG, ordered 01…06) plus the placement list; the parent inserts them one by one from the album.

Never reference a path outside the workspace.

Maintaining This Skill

Behavior rules live in SKILL.md, references/, templates/, and assets/. Editing one does not update the others, so a rule silently drifts.

After any change, run a consistency sweep:

  1. Sweep by topic across the whole directory: count / 张数, cover / 封面, fixed images / 头图 / 尾图 / 二维码 / 关注引导, white background / 白底 / 纯白 / 255, style anchors / 风格锚点 / input_fidelity, shot note / 景别 / 视角 / 主体数量, traceability / 原句 / 可追溯, prompt / 提示词, credits / 积分, delivery / 交付 / base64 / 内嵌 / 粘贴丢图 / 手机, watermark / 水印 / 文字, contact sheet / 配图一览, and packaging / 打包 / 上传 / 二进制 / b64 / restore-assets / pack-assets. Then sweep for writing terms that must not become instructions here: 选题 / 评分 / 十段 / 骨架 / 去 AI 味 / 说教 / 摘要 / 标题备选. Naming a section of someone else's body to locate an image (for example "钩子的场景" as an anchor position) is fine; instructing the skill to write one is not. This skill does not write — if a writing instruction appears, it belongs to the writing skill.
  2. Verify the closed sets mechanically. Every #RRGGBB in the directory must come from the closed table in references/illustration-style.md → Closed Hex Set, with no extra hex. Then list every border-radius value: 22px generated illustrations and their contact-sheet frames, 24px a contact-sheet card, 10px a small chip. Any other value is drift.
  3. Grep alone is not enough. Read references/illustration-style.md, references/image-plan.md, references/delivery.md, references/content-safety.md, templates/image-list.md, and SKILL.md end to end and compare each rule against the others — for example a shot rule stated one way in the plan and another way in the template. Most drift in past sweeps came from reading, not searching.
  4. Fix every stale sentence. Never leave an old rule and a new rule describing the same thing.
  5. Re-read the changed section once to confirm it contradicts nothing nearby.
  6. Tell the user which files changed and confirm the sweep was done.

常见问题

5 问
答案由本站依据条目字段整理
专注力公众号(配图)怎么安装?

在支持 Skills 的客户端里执行:skillhub install user_3c99fdb9/peitu。安装方式为未标注。装完刷新技能列表或重开客户端。

专注力公众号(配图)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。

专注力公众号(配图)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。

专注力公众号(配图)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。

专注力公众号(配图)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。

热门专题

按场景挑技能
全部专题 →

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 2026-11-06。