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Agent Skill · 待分类

avatar-portrait(头像肖像)

avatar-portrait 用于处理 GitHub 仓库、Issue、Pull Request 和代码协作信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要围绕仓库状态、代码变更或协作事项进行整理时使用。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。

avatar-portrait 是待分类类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为只读;许可证信息还不明确,第三方扫描已通过,按安装量在待分类类的 11,209 个 Skill 里排第 5,504。

总安装 559周安装 24GitHub Stars 3下载 196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
unknown

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:avatar-portrait(头像肖像)
来源仓库:https://github.com/b-open-io/gemskills
仓库路径:skills/avatar-portrait
安装命令:
npx skills add https://github.com/b-open-io/gemskills --skill avatar-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 npx skills 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。

skills.shnpx skills
npx skills add https://github.com/b-open-io/gemskills --skill avatar-portrait

这个 Skill 是做什么的

这个 Skill 的分类还没最终确定,用法以来源仓库的说明为准。

Avatar Portrait 利用 Gemini 图像生成从照片创建风格化头像。适用于团队 profile 图片、角色 portrait 或特定艺术风格转换。平衡 likeness 与 style,保留识别度同时应用像素、复古等效果。

安装方式:npx skills add https://github.com/b-open-io/gemskills --skill avatar-portrait 需授权使用 Gemini API,注意版权与隐私合规边界

来源仓库内路径:skills/avatar-portrait

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 Codex、Claude、Cursor、Gemini CLI;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 npx skills add https://github.com/b-open-io/gemskills --skill avatar-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

    它标注为只读,先用只读任务试一次,确认行为符合预期再扩大使用范围。

常见问题

6 条

avatar-portrait 怎么安装?

在终端执行 npx skills add https://github.com/b-open-io/gemskills --skill avatar-portrait。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

avatar-portrait 支持哪些 AI 工具?

公开资料标注支持 Codex、Claude、Cursor、Gemini CLI。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。

avatar-portrait 需要什么权限?

权限级别是只读。该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

avatar-portrait 是免费的吗?

公开资料没有标注明确许可证,收费和商用限制都无法确认。正式使用前请到来源仓库核对授权说明。

avatar-portrait 用的人多吗?

公开数据是累计安装 559 次,近一周安装 24 次,下载 196 次,GitHub 3 星。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。

avatar-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

  • 同时适配 4 种工具,换客户端不用重新找替代品。
  • 第三方扫描已通过,常见的高风险行为没有命中。
  • 标注为只读权限,试用阶段不容易误改本地文件。

先想清楚的地方

  • 许可证没有明确标注,能不能商用、能不能再分发都不确定。
  • 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 Codex,想直接扩展它能力的人。
  • 需要处理待分类类任务、又不想每次都手写提示词的人。
  • 只想先试试效果、不希望它改动本地文件的人。

不太适合

  • 需要明确授权才能用到公司项目里的场景。
  • 需要厂商级技术支持和 SLA 的生产系统。

待分类类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
infsh-cli

infsh CLI · Codex、Claude

4,374,576382权限未标注未明确未收录
ai-video-generation

AI 视频生成 · Codex、Claude

4,313,376382调用外部服务未明确有提醒
lark-openapi-explorer

云雀 OpenAPI 浏览器 · Codex、Claude

2,064,1209,011需要联网未明确有提醒
lark-workflow-standup-report

Lark 工作流程站立报告 · Codex、Claude

2,041,6328,978需要联网未明确通过
use-my-browser

使用我的浏览器 · Codex、Claude

1,848,49140操作浏览器未明确未通过
avatar-portrait

头像肖像 · 本页

5593只读未明确通过

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

Avatar Portrait

Generate stylized avatar portraits from reference photos using Gemini image generation, preserving recognizable likeness while applying a requested visual style.

When to Use

Use this skill when the user asks to:

  • Create avatars from photos
  • Generate team member profile images in a specific style
  • Convert headshots to stylized portraits (pixel, retro, illustrated, modern)
  • Create consistent character portraits that resemble real people

Core Principles

Balance Likeness and Style

The critical challenge is achieving BOTH:

  1. Recognizable likeness - Must look like the source person
  2. Chosen style fidelity - Clear style, not photorealistic unless requested

Common failures:

  • Too photorealistic = ignores requested style
  • Too stylized = loses resemblance to source person

Single Source Input

Use ONLY the subject's photo as input. Never use another person's image as a style reference - this causes face blending and loss of likeness.

Prompt Template

Generate a styled avatar portrait from the reference photo.

## INPUT IMAGE
[path to subject's photo] - USE ONLY THIS IMAGE

## CRITICAL: LIKENESS PRESERVATION
Capture the subject's EXACT features from the photo:
- Face shape and jawline
- Eye shape, spacing, and expression
- Nose shape and size
- Mouth/smile characteristics
- Hair texture, color, and style
- Facial hair pattern and coverage (if applicable)
The result must be RECOGNIZABLE as this specific person.

## STYLE REQUIREMENTS
- Style: [style requested by user, e.g. pixel art, painterly, anime, low-poly]
- Keep style cues consistent across linework, shading, and color treatment
- Stylized but maintains individual features
- NOT photorealistic unless explicitly requested

## APPEARANCE
- [Describe clothing from photo or as specified]
- [Describe expression]
- [Describe any accessories]

## BACKGROUND
- [Describe background style and colors]
- Background style should match the character style

## TECHNICAL
- NO TEXT on the image
- 512x512 output
- Portrait orientation, head and shoulders
- Square format

## OUTPUT
Save to: [output path]

Example: Individual Avatar

For a team member named Dan with a reference photo showing short dark hair, beard, black v-neck:

Generate a styled avatar portrait from the reference photo.

## INPUT IMAGE
/path/to/dan-photo.png - USE ONLY THIS IMAGE

## CRITICAL: LIKENESS PRESERVATION
Capture Dan's EXACT features from the photo:
- His specific face shape and jawline
- His eye shape and expression
- His nose shape
- His smile characteristics
- Short dark hair - exact texture and style from photo
- Full dark beard - exact pattern and coverage
The result must be RECOGNIZABLE as Dan.

## STYLE REQUIREMENTS
- Style: retro 16-bit pixel art
- Visible pixels but NOT a pixelated photo filter
- Clean lines, rich colors, consistent shading
- Stylized but maintains individual features

## APPEARANCE
- Black v-neck shirt
- Warm smile showing teeth
- Friendly, approachable expression

## BACKGROUND
- California sunset cityscape
- Warm oranges, pinks, teals
- Pixel art style matching the character

## TECHNICAL
- NO TEXT on the image
- 512x512 output
- Portrait orientation, head and shoulders

## OUTPUT
Save to: /path/to/output/dan-pixel.png

Context Discipline

Do not read generated avatar images back into context. The script outputs only the file path. Ask the user to visually inspect the result and provide feedback for iteration. To inspect programmatically, optimize the image first (via the optimize-images skill).

Iteration Workflow

  1. First attempt: Generate with detailed prompt
  2. Review: Check both likeness AND style
  3. Adjust if needed:

- If too photorealistic: Emphasize "stylized pixel art character" - If likeness lost: Strengthen feature descriptions from source - If wrong features: Be more specific about what to capture

Common Issues

Face doesn't match source

  • Ensure ONLY the subject's photo is used as input
  • Add more specific feature descriptions
  • Reference exact details visible in the photo

Too photorealistic

  • Emphasize the style family and key style cues
  • Request "stylized" and "illustrated feel"
  • Add explicit anti-photorealism language unless photorealism was requested

Too cartoonish / loses likeness

  • Strengthen the likeness preservation section
  • List specific features to capture
  • Emphasize "RECOGNIZABLE as this person"

Reference Files

For background style references:

  • references/background-styles.md - Common background approaches for avatars

平台分布

Codex

33.11%
按下载量换算65

Claude

31.29%
按下载量换算61

Cursor

18.61%
按下载量换算36

Gemini CLI

7.99%
按下载量换算16

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

只读

该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

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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