agent-portfolio

Generate a personalized portfolio site from agent-reference reports and deploy it to GitHub Pages. The site reflects the user's working style as observed by their AI collaborators — AI analyzes the reports, proposes a design concept, scaffolds an Astro site with concept-based theming, and deploys to {username}.github.io. Use this skill whenever the user asks to "build my portfolio", "create portfolio site", "make a site from my reports", "deploy to github pages", "github.io site", or says things like "포트폴리오 사이트 만들어줘", "사이트 배포해줘", or wants to turn agent-reference reports into a live website. Also triggers when the user has agent-reference reports ready and wants to publish them as a site, wants a personal site generated from AI collaboration data, or asks to update/redeploy an existing agent portfolio. Do NOT use for general Astro development, generic website building, agent-reference analysis without site generation, or resume writing that does not involve deploying a site.

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Install skill "agent-portfolio" with this command: npx skills add ohing504/skills/ohing504-skills-agent-portfolio

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.

Source Transparency

This detail page is rendered from real SKILL.md content. Trust labels are metadata-based hints, not a safety guarantee.

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