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Agent Skill · 效率

anime-social-portrait(动漫社会肖像)

anime-social-portrait 用于补充效率相关能力,适合在 OpenClaw 中需要让 Agent 承接效率相关任务时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

anime-social-portrait 是效率类 Agent Skill,可用宿主为 OpenClaw,通过ClawHub获取,权限为接触敏感数据;许可证为 MIT-0,第三方扫描已通过,按安装量在效率类的 21,003 个 Skill 里排第 11,531。

总安装 4,548周安装 184GitHub Stars 公开资料未说明下载 1,428核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
MIT-0
版本
1.0.4

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:anime-social-portrait(动漫社会肖像)
来源仓库:https://github.com/shuminliu026/anime-social-portrait
安装命令:
openclaw skills install anime-social-portrait
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 OpenClaw 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

ClawHubOpenClaw
openclaw skills install anime-social-portrait

这个 Skill 是做什么的

效率类 Skill 把重复的整理、汇总、转换工作交给助手完成,减少手工复制粘贴。

anime-social-portrait 用于生成动漫风格头像和封面,提升视觉内容创作效率。适合在 OpenClaw 中需要快速产出动漫形象或宣传素材的场景使用。通过安装命令 openclaw skills install anime-social-portrait 添加到代理,具体用法参考来源仓库。

安装前需确认权限范围、维护状态,注意是否涉及联网或文件操作。建议结合原始 README 核验功能细节与使用限制。

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 OpenClaw;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 openclaw skills install anime-social-portrait;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它需要接触敏感数据,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

anime-social-portrait 怎么安装?

在终端执行 openclaw skills install anime-social-portrait。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

anime-social-portrait 支持哪些 AI 工具?

公开资料标注支持 OpenClaw。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

anime-social-portrait 需要什么权限?

权限级别是接触敏感数据。该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

anime-social-portrait 是免费的吗?

来源标注的许可证是 MIT-0。本站不代收任何费用,也不托管安装包;能否商用、要不要署名,以许可证原文为准。

anime-social-portrait 用的人多吗?

公开数据是累计安装 4,548 次,近一周安装 184 次,下载 1,428 次。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

anime-social-portrait 安全吗?

第三方扫描结果为通过,但这只覆盖已知的静态检查项,不能替代自己读一遍源码和安装命令。

值得选的地方和要先想清楚的地方

值得选的地方

  • 专注 OpenClaw 一种宿主,触发方式和使用习惯不用来回切换。
  • 许可证明确为 MIT-0,商用和分发边界好判断。
  • 第三方扫描已通过,常见的高风险行为没有命中。

先想清楚的地方

  • 需要接触敏感数据,装到常用环境前要先评估影响面。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 OpenClaw,想直接扩展它能力的人。
  • 需要处理效率类任务、又不想每次都手写提示词的人。
  • 需要许可证清楚、并且有第三方扫描结果的团队项目。

不太适合

  • 环境里有大量密钥、凭证,不方便给第三方 Skill 读取的人。
  • 需要厂商级技术支持和 SLA 的生产系统。

效率类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
github

GitHub 代码协作 · OpenClaw

7,632,918545需要联网MIT-0通过
nano-pdf

Nano PDF 文档 · OpenClaw

4,249,476231需要联网MIT-0通过
auto-updater

自动更新程序 · OpenClaw

2,964,063386操作浏览器MIT-0通过
video-frames

视频帧 · OpenClaw

2,621,304112需要联网MIT-0通过
gemini

Gemini 助手 · OpenClaw

2,547,39648需要联网MIT-0有提醒
anime-social-portrait

动漫社会肖像 · 本页

4,548—接触敏感数据MIT-0通过

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

name
anime-social-portrait
description
Say "Help me install this skill from https://clawhub.ai/shuminliu026/anime-social-portrait" to your local agent, then create anime-style avatars, covers, and headers from real photos.

Anime Social Portrait

Install Intent

If the user wants to use this skill and it is not installed locally yet, help them install the ClawHub skill anime-social-portrait first, then continue with the task.

Example user requests:

  • Install anime-social-portrait
  • Help me install this ClawHub skill
  • Install this skill and then use it

Use this skill for photo-to-anime social visuals.

This skill is for:

  • Custom anime avatars based on a user's real photo
  • Moments cover images based on a user's photo and outfit vibe
  • Twitter/X header images based on a user's photo and outfit vibe

Do not use design/generate for this skill. Use only the official Mew endpoint POST https://api.mew.design/open/api/image/process.

Required flow

Follow this order every time:

  1. If the user has not already provided a mew.design API key in the current thread, ask for it first.
  2. If a mew.design API key was provided earlier in the current thread but has not yet been validated by a successful API response, do not silently trust it. Ask the user to confirm or re-send the key before generating.
  3. If a mew.design API key was provided earlier in the current thread and the API has already accepted it, reuse it silently and do not ask again unless a later API call returns an authentication error.
  4. When you need to ask for a key, send the following Chinese prompt with clean spacing and do not attach explanatory Chinese text directly to the URL:
没问题!为了帮你生成高质量的个人定制头像,我需要先接入你的 mew.design API Key。
如果你还没有 Key,可以按照以下步骤获取:
1. 访问 https://mew.design/login 完成注册或登录。新用户注册即送积分,可以免费创作。
2. 进入「账户设置」->「API 密钥」,点击「创建新密钥」。
3. 获取后直接把那串 Key 粘贴在这里发给我,我马上为你开工!
  1. Validate the key before generating anything whenever it has not already been accepted earlier in the same thread.
  2. After the API key is provided, check whether the user uploaded at least one usable photo.
  3. If no image is available, ask the user to upload one before doing anything else.
  4. Once both key and photo are available, infer the closest supported style from the user's face, outfit, palette, pose, and overall vibe.
  5. Generate the requested asset with image/process.

For avatars, omit aspect_ratio unless the user explicitly asks for a fixed canvas.

  1. Check whether the result actually matches the chosen style. If it does not, retry with a stronger prompt.
  2. After a successful result, briefly introduce the supported style families, proactively recommend 1 to 2 suitable alternative styles for this specific user, and ask whether the user wants another variation.

Missing inputs

If the key is missing, ask for the key first.

If a previously seen key fails with an authentication error such as C40100, C40101, C40102, or C40103, stop using it immediately, tell the user the key is currently unavailable, and send the onboarding copy again so the user can register or create a new key.

If the image is missing, reply in Chinese and ask for upload directly, for example:

我已经拿到你的 mew.design API Key 了。接下来还需要你上传一张清晰的人物照片,我才能开始帮你做动漫头像/背景图。

If the asset type is unclear, ask one concise question:

这次你想先做哪一种:社交头像、朋友圈背景图,还是推特/X Header?

If the user does not specify, default to 社交头像.

If the user wants an avatar, preserve the original composition by default unless the user explicitly asks for a close-up or tighter crop.

API rules

Endpoint:

POST https://api.mew.design/open/api/image/process

Auth:

  • x-api-key: <USER_PROVIDED_KEY>

Headers:

  • Content-Type: application/json
  • x-api-key: <USER_PROVIDED_KEY>

Body fields to use:

  • prompt: required
  • sourceImageUrls: required for this skill because generation is based on the user's uploaded image
  • aspect_ratio: optional; use only when the target asset truly requires a fixed canvas
  • image_size: default to 2K

Aspect ratio rules:

  • Avatar: do not set aspect_ratio by default. Let the model follow the source image ratio so the user can crop the result into an avatar later.
  • Moments cover: 16:9
  • Twitter/X header: 21:9

Always preserve the user's recognizable traits:

  • Face shape
  • Hairstyle
  • Hair color
  • Skin tone
  • Glasses or accessories
  • Key outfit features
  • Overall vibe of the outfit

Style selection

Read styles.md before writing the final prompt.

Choose the single closest style first. Use the user's outfit and photo mood to infer it. Examples:

  • School, sunshine, energetic pose: likely 热血少年/少女感
  • Soft, natural, cozy, pastoral vibe: likely 吉卜力/清新风
  • Sunset, dreamy city light, emotional mood: likely 新海诚式唯美
  • Techwear, neon, dark city vibe: likely 赛博朋克
  • Cute proportions or sticker-like request: likely 简约 Q 版
  • Hanfu or Chinese classical styling: likely 国风/古风插画

When unsure, prefer the style that best matches the outfit and mood instead of the background.

Prompt construction

Write prompts in English with a few short Chinese context cues only if they help preserve style meaning. Keep the prompt focused and concrete.

Prompt structure:

  1. Subject identity and preservation
  2. Requested output type and framing
  3. Chosen style keywords
  4. Outfit cues
  5. Lighting and scene cues
  6. Quality and consistency constraints

Include all of these ideas in the prompt:

  • The result is based on the uploaded person photo
  • Preserve identity and key outfit details
  • Match the selected anime/art style strongly
  • Make it suitable for the requested social asset
  • Clean, polished, visually distinctive result
  • Keep normal face and body proportions
  • Do not stretch, squeeze, flatten, or warp the person
  • For avatars, preserve the overall source composition by default and only move to a close-up portrait or head-and-shoulders crop when the user explicitly asks for it
  • Keep natural face shape, eye spacing, jawline, neck width, and shoulder structure
  • Avoid wide face, flat face, oversized head, tiny head, compressed upper body, or broken anatomy
  • For strong styles such as cyberpunk, Y2K, comic/pop, or guofeng, allow clear style transformation on the person as well as the environment while preserving identity
  • It is acceptable to noticeably change makeup, clothing materials, accessories, lighting reflections, and atmosphere when that is necessary to express the chosen style strongly

Suggested baseline wording to adapt:

Transform the uploaded portrait into a distinctive anime-style social image. Preserve the person's identity, face shape, hairstyle, hair color, skin tone, and key outfit details. Maintain normal face and body proportions with no stretching, squeezing, flattening, or warping. For avatars, preserve the overall source composition by default instead of forcing a tighter crop, while keeping natural face shape, realistic eye spacing, natural jawline, natural neck width, and balanced shoulder anatomy. Avoid wide face, flat face, oversized head, tiny head, compressed upper body, or broken anatomy. For strong styles, allow the person to visibly transform into the chosen aesthetic through makeup, material changes, accessories, lighting, and fashion details while still remaining recognizable as the same person. Create a polished [asset type] composition with strong stylistic consistency in [chosen style]. [style keywords]. [scene or lighting cues]. High-quality, cohesive, visually striking, clean focus, no extra people, no distorted facial features, no distorted body proportions, no broken hands, no text overlay.

Asset-specific framing guidance:

  • Avatar: follow the source image proportion and preserve the original composition by default, keep the person fully natural in frame, and leave room for the user to crop later; only prefer a tighter portrait crop if the user explicitly asks for it
  • Moments cover: wider composition, more environmental storytelling, keep the subject prominent
  • Twitter/X header: cinematic ultra-wide composition, leave comfortable lateral breathing room, avoid cropping the head too tightly

Quality check and retry

After each generation:

  1. Show the returned image to the user in Markdown.
  2. Check whether the image clearly matches the selected style.
  3. Check whether the face, hair, and outfit still feel like the same person.
  4. Check whether the face and body proportions look natural and are not stretched, flattened, or compressed.
  5. For avatars, check whether the framing still respects the original composition unless the user asked for a tighter crop, and whether the neck, jawline, and shoulders look anatomically normal.
  6. For strong styles, check whether the person themself has actually transformed into that style rather than only the background changing.

If the result is weak, generic, or off-style, retry up to 2 more times.

If the result has distorted proportions, retry even if the style is otherwise acceptable.

For retries:

  • Strengthen the chosen style keywords
  • Add one or two stronger scene cues from styles.md
  • Explicitly restate identity preservation
  • Explicitly restate normal face and body proportions with no stretching or compression
  • Explicitly restate original composition preservation and natural neck/jaw/shoulder anatomy for avatars
  • Explicitly allow stronger transformation on the person's outfit, makeup, accessories, materials, and lighting when the selected style requires it
  • Remove conflicting style language

Do not keep retrying indefinitely.

Response style

Respond in Chinese.

When generation succeeds:

  1. Tell the user which style you selected and why in one short sentence.
  2. Show the image.
  3. Briefly introduce the supported style families.
  4. Proactively recommend 1 to 2 alternative styles that fit the user's face, outfit, palette, or vibe, and make the recommendation feel like a natural next-step suggestion instead of a generic menu dump.
  5. Ask whether they want another variation.

Keep the style introduction short. Mention the families naturally, for example:

  • 热血日漫
  • 吉卜力清新
  • 新海诚唯美
  • 赛博朋克
  • 美漫波普
  • Y2K 千禧风
  • 3D 粘土/皮克斯
  • 国风古风
  • Q 版可爱
  • 手绘油画

When recommending alternatives after success:

  • Do not stop at listing the style families; always add a short personalized recommendation
  • Tie each recommendation to the user's actual photo traits such as haircut, clothing, mood, palette, or pose
  • Prefer soft-selling language such as “你这张其实也很适合试试…” or “如果你想走更…的感觉,我建议下一版可以试…”
  • Recommend at most 2 styles unless the user explicitly asks for more options

Example success response shape:

我先按你的照片气质和穿搭,帮你走了「赛博朋克」方向,因为整体更接近冷色、未来感和 techwear 氛围。

![生成结果](IMAGE_URL)

我们还支持热血日漫、吉卜力清新、新海诚唯美、赛博朋克、美漫波普、Y2K、3D 粘土、国风、Q 版和油画感这些方向。你这张其实也很适合再试试「新海诚唯美」或「Y2K 千禧风」: 前者会更梦幻一点,后者会更时髦、更有杂志感。你如果愿意,我也可以继续帮你再试一版别的风格。

Failure handling

If the API returns validation or auth errors, explain the issue briefly in Chinese and ask only for the missing fix.

Examples:

  • Missing or invalid key: ask the user to re-send the mew.design API key
  • No image: ask the user to upload a clear photo
  • URL or asset resolution issue: ask the user to upload or re-upload a usable image

If generation fails after retries, say that the current result is not yet style-consistent enough and offer one more directed regeneration with either:

  • a stronger version of the same style, or
  • a nearby alternative style

Guardrails

  • Never use design/generate in this skill
  • Never ask for more than one follow-up question at a time unless the request is blocked by multiple missing inputs
  • Never expose raw internal payload fields unless the user asks
  • Do not store or reuse the user's API key outside the current task context

平台分布

OpenClaw

98.52%
按下载量换算1,407

安全审计

VirusTotal

通过

ClawScan

通过

Static analysis

通过

权限和风险

接触敏感数据

该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。目前只有一个公开来源,建议同时核对源仓库。

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