Portfolio-OPs

🚀 Portfolio-OPs — Automated Developer Portfolio Engine

Portfolio-OPs is a zero-configuration Python CLI that automatically turns your local coding projects into a structured, production-ready portfolio.

Instead of manually curating projects, screenshots, and descriptions, Portfolio-OPs scans your machine, understands your work, and generates clean data that powers a modern Next.js portfolio website.

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🎯 Problem It Solves

Developers often:

• Forget to update their portfolio
• Have dozens of unfinished or hidden projects
• Duplicate effort between GitHub, READMEs, and portfolio sites

Portfolio-OPs solves this by making your portfolio a by-product of your daily coding work.

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✨ Key Capabilities

• Zero Configuration – Works out of the box
• Automatic Project Detection – React, Python, Flutter, CLI tools, and more
• Markdown-First – Uses your existing README files as project descriptions
• Git-Aware – Tracks activity, commit counts, and last updates
• Incremental Updates – Re-scans only changed projects (fast)
• Frontend-Ready Output – Generates structured JSON consumed by a Next.js site

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🧠 How It Works (High Level)

1. Scans your Desktop (or Projects folder)

2. Detects valid software projects

3. Extracts:

   • Tech stack
   • README content
   • Screenshots & assets
   • Git metadata

4. Outputs a clean projects.json

5. Next.js frontend renders everything automatically

Your portfolio updates in seconds — no manual editing.

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🧱 Tech Stack

• Backend / CLI: Python 3.8+
• Frontend: Next.js (App Router) + Tailwind CSS
• Data Format: JSON + Markdown
• Git Integration: GitPython

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📸 Example Output

Each project includes:

• Description (from README)
• Screenshots & gallery
• Tech stack & tags
• GitHub link
• Last updated date
• Project status (Active / Archived)

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🧩 Why This Matters

This project demonstrates:

• Systems thinking
• Automation-first mindset
• Developer Experience (DX) focus
• Clean separation between data and UI
• Real-world tooling, not toy examples

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🔗 Usage Snapshot

python3 portfolio.py init
python3 portfolio.py update

Your portfolio is now up to date.

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📌 Ideal For

• Software engineers
• Frontend developers
• Developer advocates
• Anyone tired of manually maintaining portfolios

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📄 License

MIT

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VERSION 2: Developer-Friendly README

⚙️ Portfolio-OPs — Portfolio Operations CLI

Portfolio-OPs is a Python-based project scanner and data pipeline that converts local development folders into structured portfolio data.

It is designed to be:

• Zero-config
• Incremental
• Git-aware
• Frontend-agnostic

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🗂 Core Workflow

Local Projects → Scanner → Metadata + README + Assets → JSON → Frontend

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🛠 Features

• Recursive project scanning
• Language & framework detection
• README parsing (Markdown-first)
• Screenshot & asset discovery
• Git metadata extraction
• Incremental updates using cache
• CLI-based curation (feature, hide, categorize)

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📁 Project Structure

portfolio-ops/
├── portfolio.py            # CLI entry point
├── portfolio_ops/
│   ├── scanner.py
│   ├── detectors.py
│   ├── readme_parser.py
│   ├── asset_finder.py
│   ├── git_analyzer.py
│   ├── data_manager.py
│   └── config.py
├── portfolio-data/
│   ├── projects.json
│   ├── cache.json
│   └── assets/
└── requirements.txt

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🧪 Incremental Scan Logic

if project_unchanged:
    skip()
else:
    rescan()

Only modified projects are reprocessed, keeping updates fast even with many repositories.

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📄 CLI Commands

python3 portfolio.py init
python3 portfolio.py generate
python3 portfolio.py update
python3 portfolio.py list
python3 portfolio.py show <project>
python3 portfolio.py feature <project>
python3 portfolio.py categorize <project> "Web Development"

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📦 Output Schema (Simplified)

{
  "projects": [
    {
      "name": "My Project",
      "metadata": { "language": "Python" },
      "readme": { "content": "..." },
      "git": { "remote_url": "..." },
      "assets": { "screenshots": [] }
    }
  ]
}

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🌐 Frontend Integration

Portfolio-OPs outputs static JSON and assets designed to be consumed by:

• Next.js
• Astro
• Remix
• Any static site generator

No backend required.

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🧩 Design Principles

• Configuration should be optional
• README is the source of truth
• Git activity signals project quality
• Data > presentation
• Fast feedback loops

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🚧 Roadmap

• GitHub API enrichment (stars, forks)
• AI-generated descriptions for missing READMEs
• Auto-screenshots for web projects
• Plugin system for new detectors

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🤝 Contributing

PRs welcome. Focus areas:

• New language detectors
• Performance improvements
• Schema evolution

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📄 License

MIT