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Agent Skill · 前端设计

agent-portfolio(Agent 组合)

agent-portfolio 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。

agent-portfolio 是前端设计类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为执行命令;许可证信息还不明确,第三方扫描已通过,按安装量在前端设计类的 10,216 个 Skill 里排第 10,088。

总安装 186周安装 8GitHub Stars 公开资料未说明下载 65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:agent-portfolio(Agent 组合)
来源仓库:https://github.com/ohing504/skills
仓库路径:skills/agent-portfolio
安装命令:
npx skills add https://github.com/ohing504/skills --skill agent-portfolio
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/ohing504/skills --skill agent-portfolio

这个 Skill 是做什么的

前端设计类 Skill 关注页面结构、视觉规范和组件写法,输出通常是可运行的界面代码。

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 中围绕仓库状态或协作事项整理时使用。可结合来源仓库和原始 README 核验具体用法。安装前建议确认权限范围、维护状态及是否触发联网或文件读写。

agent-portfolio 属于前端设计类 Skill,可作为该场景下的辅助能力补充。

来源仓库内路径:skills/agent-portfolio

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/ohing504/skills --skill agent-portfolio;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

    它需要执行命令,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

agent-portfolio 怎么安装?

在终端执行 npx skills add https://github.com/ohing504/skills --skill agent-portfolio。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

agent-portfolio 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。

agent-portfolio 需要什么权限?

权限级别是执行命令。安装流程涉及命令执行,可能通过 npx skills add https://github.com/ohing504/skills --skill agent-portfolio 联网下载 Skill 或依赖。用户安装前应确认命令来源、仓库内容和执行环境。

agent-portfolio 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。

agent-portfolio 用的人多吗?

公开数据是累计安装 186 次,近一周安装 8 次,下载 65 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。

agent-portfolio 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。

先想清楚的地方

  • 需要执行命令,装到常用环境前要先评估影响面。
  • 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。
  • 需要处理前端设计类任务、又不想每次都手写提示词的人。

不太适合

  • 不能接受 Skill 在你机器上执行命令的人。
  • 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。

前端设计类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
frontend-design

前端设计 · Codex、Claude

8,823,360126,072只读MIT通过
vercel-composition-patterns

Vercel 组合模式 · Codex、Claude

3,858,81625,893需要联网MIT通过
vercel-react-native-skills

Vercel React native skills 前端 · Codex、Claude

2,468,66425,878只读MIT通过
adapt

adapt 搜索 · Codex、Claude

2,027,04023,125操作浏览器未明确通过
bolder

bolder 分析 · Codex、Claude

2,004,28823,130只读未明确通过
agent-portfolio

Agent 组合 · 本页

186—执行命令未明确通过

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

Agent Portfolio — Introduced by My Agents

You are generating a personalized portfolio site from agent-reference reports. The site reflects the user's working style as observed by their AI collaborators — not a generic developer template, but a site shaped by real collaboration data. Each portfolio is different because each person's reports are different.

The result is an Astro site deployed to GitHub Pages at {username}.github.io, with sections for agent reviews, project highlights, work style visualization, and GitHub activity.

How This Skill Works

StepWhat happens
1. Collect InputsGather agent-reference reports, resume, GitHub data
2. Analyze & Propose ConceptRead reports, identify traits, propose design concept
3. Scaffold SiteCreate Astro project with concept-based theme
4. Customize & ReviewUser reviews, agent adjusts
5. DeployPush to GitHub, enable Pages, go live

Most users will have already run the agent-reference skill to generate reports. If not, suggest running that skill first.


Step 1: Collect Inputs

This step gathers all data needed to generate the portfolio. Guide the user through each input:

1. Agent-reference reports (required)

  • Ask the user where their report files are
  • Expected structure: markdown files from agent-reference Phase 1 and optionally Phase 2
  • If no reports exist, suggest running the agent-reference skill first and stop here

2. Resume / self-introduction (optional)

  • Ask if they have a resume, CV, or self-intro to include
  • This populates the "About" and "Career" sections
  • Any format (markdown, PDF text, plain text)
  • PDF handling: Read PDF files directly using your file reading tool (e.g., Claude Code's Read tool supports PDF natively) — do NOT use external conversion tools like pdftoppm or pdftotext, which lose structure and ordering. Even with direct reading, multi-column layouts, tables, and Korean text can be misinterpreted. Always verify the extracted content with the user — career order, company-project mapping, and tech stacks are commonly garbled. Markdown format is most reliable.
  • PII warning: Resumes often contain phone numbers, email addresses, and home addresses. These must NOT appear on the public site. Extract only career/education/skills content. If the user wants a contact method on the site, suggest a contact form or LinkedIn link instead of raw PII.

3. GitHub data (optional)

  • Check gh auth status to see if gh CLI is available
  • If available, offer to pull: contribution calendar, repo list, language stats
  • Reference: gh api graphql for contribution data, gh repo list for repos

4. Existing portfolio materials (optional)

  • Any existing site content, project descriptions, or images to incorporate

Set Up the Repository

After collecting inputs, help the user create the portfolio repo:

1. Private source + public deploy (Recommended)

gh repo create {username}/portfolio --private --clone
cd portfolio
gh repo create {username}/{username}.github.io --public
  • The {username}.github.io name is a GitHub Pages convention and must not be changed. The private source repo name (e.g., portfolio) can be anything.
  • Two repos: portfolio (private) for source/reports, {username}.github.io (public) for deployed site
  • Reports stay private, clean URL: https://{username}.github.io
  • GitHub Actions builds in portfolio and pushes to {username}.github.io
  • User controls which reports appear on the Raw Data page

2. Single public repo (Simple)

gh repo create {username}/{username}.github.io --public --clone
cd {username}.github.io
  • One repo for everything — simplest setup
  • All reports visible in git history
  • Fine if user has no private content

Organize Reports

Copy reports into the repo:

reports/
├── {date}-{agent-name}/
│   ├── user-profile.md
│   ├── project-{name}.md
│   └── ...
└── aggregated/          (if Phase 2 was run)
    ├── aggregated-profile.md
    ├── references-multi-perspective.md
    ├── introduced-by-agents.md
    ├── faq.md
    └── blog-topics.md

If the user provides a resume, profile photo, or screenshots, save them to materials/. Any filename and format works (resume.pdf, 이력서.pdf, cv.md, etc.).

Portfolio Repo Structure

After setup, your repo should look like this:

portfolio/
├── reports/                    # Agent-reference reports (required)
│   ├── 2026-03-claude-code/
│   │   ├── user-profile.md
│   │   └── project-*.md
│   └── aggregated/             # Phase 2 outputs (if available)
│       ├── aggregated-profile.md
│       ├── references-multi-perspective.md
│       ├── faq.md
│       └── blog-topics.md
├── materials/                  # User-provided materials (optional)
│   ├── resume.pdf              # Resume/CV (any format and filename)
│   └── profile.jpg             # Profile photo, screenshots
└── README.md                   # Will be auto-generated

The skill will generate the src/, public/, and config files in the next steps. You only need to provide the data above.


Step 2: Analyze & Propose Concept

Read references/concept-generation-guide.md for the full concept generation workflow.

What You Do

  1. Read all reports in the reports/ directory — user profiles, project reports, aggregated outputs
  2. Identify dominant traits — work style signals, communication patterns, technical identity
  3. Map to a design concept — each concept has a color palette, typography, and layout direction
  4. Present the concept to the user for approval

Available Concepts

ConceptBest forVisual direction
BlueprintMethodical architectsCool blues, monospace headers, structured grid
LaunchpadFast iterators, many projectsVibrant warm colors, bold sans, project gallery
ChronicleDeep domain expertsEarth tones, serif, editorial case studies
SpectrumFull-stack generalistsGradient accents, balanced sections
TerminalCLI/infra buildersDark theme, green accents, monospace
CanvasCreative/design-awareSoft pastels, asymmetric layout

The concept affects visual styling only — all sections are available regardless of concept.

Always get user approval before proceeding. Show the proposed color palette, fonts, and section order. Offer to adjust or try a different concept.


Step 3: Scaffold Site

Read references/site-structure-guide.md for complete component specifications.

Initialize Astro

npm create astro@latest -- --template minimal --no-install
npm install
npm install tailwindcss @tailwindcss/vite
Warning: Do NOT use npx astro add tailwind — it installs @astrojs/tailwind (Tailwind 3 integration) which conflicts with Tailwind 4. Install @tailwindcss/vite directly instead.

Optional: Enhanced Design Quality

If the frontend-design skill is available in the current environment, invoke it during component implementation for production-grade styling and modern design patterns. This produces more polished, distinctive results — avoiding generic AI aesthetics.

  • Available: Invoke frontend-design after concept approval, before generating components. Let it guide component styling, layout composition, and interaction design alongside the concept theme.
  • Not available: The built-in concept themes and site-structure-guide provide a complete design system. The site will still look good.

This is an optional enhancement, not a dependency. The skill is never required to run agent-portfolio.

Generate Components

Based on the approved concept and available data, generate these components:

ComponentData sourceRequired
Hero.astroaggregated profile or first user-profile reportYes
About.astromaterials/resume (any format)Only if resume provided. Two-column: main content (left) + Career preview & Education sidebar (right)
AgentReviews.astrouser-profile reports (persona sections)Yes
Projects.astroproject-*.md reportsYes
WorkStyle.astroanalysis dimensions from profilesYes
GitHub linkHero or FooterNo — just a profile link, not a stats component. GitHub stats are already on the user's profile.
FAQ.astrofaq.md from aggregated outputsOnly if available
BlogTopics.astroblog-topics.md from aggregated outputsOnly if available
RawData.astroreport files user chose to make publicOptional
Footer.astroauto-generatedYes

Apply Concept Theme

Configure concept-specific design tokens. Tailwind 4 supports both CSS-based configuration (using @theme in your CSS) and the traditional tailwind.config.mjs. Either approach works — see site-structure-guide.md for details. Import Google Fonts in Layout.astro.

Process Report Data

Create src/lib/parse-reports.ts to transform raw markdown reports into structured data for components. See site-structure-guide.md for the parsing functions specification.


Step 4: Customize & Review

Preview Locally

npm run dev

Open http://localhost:4321 and walk through the site with the user.

Review Checklist

Go through each section with the user:

  • Hero — Does the summary line capture who they are?
  • Agent Reviews — Are the persona voices distinct and accurate?
  • Projects — Are the right projects highlighted? Any to add/remove?
  • Work Style — Does the visualization feel accurate?
  • Overall feel — Does the concept match their identity?

Pre-deployment Privacy Check

Before deploying, review the site content for sensitive information. The reports were written for the user's reference — not all content is safe to publish. Walk through this checklist with the user:

  • PII — No phone numbers, email addresses, or home addresses on the site (check resume-derived content especially)
  • Private repo details — Reports for private/employer projects should match their assigned privacy level (Full/Private/Stats-only). Check that private projects don't leak identifying details (specific domain names, internal URLs, unique tech combinations)
  • Business metrics — No exact user counts, MAU, revenue, or cost figures from private projects (use qualitative descriptions)
  • Security details — No RLS function names, auth implementation patterns, SECURITY DEFINER details, or error filtering rules from production services
  • Employer internal systems — No internal tool names, infrastructure architecture, or vendor integrations that could violate NDA or expose attack surface
  • Materials — Resume PDF is NOT served as a static file (extract content only, don't copy the file to public/)

Adjust

Based on feedback:

  • Content changes — update report excerpts, rewrite summaries
  • Design changes — adjust colors, fonts, section order in Tailwind config
  • Section changes — add/remove optional sections
  • Concept change — if the whole direction feels wrong, go back to Step 2

Iterate until the user approves the site.


Step 5: Deploy

Read the deployment guide matching the user's chosen option:

  • Option 1 (private source + public deploy): references/deployment-private.md
  • Option 2 (single public repo): references/deployment-public.md

Quick Deploy

For Option 1 (private source + public deploy), set up the deploy key first (see references/deployment-private.md), then:

git add -A
git commit -m "Initial portfolio site — Introduced by My Agents"
git push -u origin main

GitHub Actions builds in portfolio and pushes to {username}.github.io. The site will be live at https://{username}.github.io.

Verify

  • Check the Actions tab in the source repo for build status
  • Visit https://{username}.github.io once deployment completes
  • Test on mobile (responsive check)

GitHub Profile README (Optional)

If the user wants, generate a minimal GitHub Profile README that links to the portfolio. See the deployment guides for the template.


Updating the Site

When you have new reports (new projects, new machine, new agent):

  1. Run agent-reference skill again → new report files
  2. Copy new reports to reports/ in the portfolio repo
  3. Run this skill again or just npm run build to regenerate
  4. Push → GitHub Actions rebuilds automatically

The site's footer shows "Last updated: {date}" so visitors know how current the data is.


Important Principles

The site tells the user's story through agent eyes. Every section should trace back to real observations from agent-reference reports. Don't pad with generic content.

Concept serves content. The design concept amplifies what the reports reveal — it doesn't impose a personality that isn't there.

User controls everything. Which reports to include, which sections to show, what to make public. The agent proposes; the user decides.

平台分布

Codex

34.74%
按下载量换算23

Claude

29.13%
按下载量换算19

Cursor

17.58%
按下载量换算11

Gemini CLI

10.13%
按下载量换算7

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

执行命令

安装流程涉及命令执行,可能通过 npx skills add https://github.com/ohing504/skills --skill agent-portfolio 联网下载 Skill 或依赖。用户安装前应确认命令来源、仓库内容和执行环境。

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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