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XpressLab - Xpress Yourself with AI Agents

XpressLab Overview

XpressLab is an innovative platform designed to empower individuals to express themselves and showcase their skills by directing AI Agents on GitHub. We believe in the power of human-AI collaboration and the exponential opportunities it brings for personal and professional growth. By following our carefully crafted instructions, you will learn to guide powerful AI agents to contribute your unique vision, ideas, and solutions to projects on GitHub. This allows you to learn and make an impact at a massive scale, focusing on strategy and creativity while your agent handles the code.

Join XpressLab today and embark on a journey of high-level contribution, skill multiplication, and financial prosperity. Together, we can shape the future of open-source development, leveraging your unique talents to make a significant impact while enjoying the financial rewards that come with your strategic direction.


Search for Open Issues

Look through the following Organization's Issues below by hitting (Ctrl-Click) on the link, based upon your area of interest.

  • World Enterprise - Graphics, Copywriting, & Website Design for Startups
  • Note Hive - Documentation, Grants, Guides, Handbooks, and other Writing Projects
  • United Home - Home, Lifestyle, and Architectural Projects
  • HardMagic - Design, Ideation, Storytelling, Branding, Visionary, Futurism, Creative Direction
  • Tao Learning Institute - Non-Profit Organization focused on STEAM Literacy, Learning, & Development
  • INSTAR Lab Inc - Scientific Research Institute with projects in Quantum Research, Artificial Intelligence, and the Future of Work.
  • Source Now - Data Science, Data Analysis, Forensics, Data Research
  • SILK Corp - Public Benefit Corporation focused on Women Empowerment, DE&I, Homesteading, Health & Wellness Industry
  • SILK Corp Guide - SILK Corp Franchise Model
  • Curiosity Corp - Nonprofit organization dedicated to advancing innovative education and workforce training through dynamic, experiential learning

Understand Issue Types

This chart below describes a few of our most common issue types:

  • $\color{orange}{media}$ $\color{orange}{content}$ - Visual and Audio Content including Graphics, Commercials, Sound Bytes, etc
  • $\color{BurntOrange}{content}$ $\color{BurntOrange}{writing}$ - Long Form Writing that engages, motivates, and potentially converts users to take action
  • $\color{yellow}{copywriting}$ - Short Form Writing text for advertising and marketing
  • $\color{violet}{good}$ $\color{violet}{first}$ $\color{violet}{issue}$ - Good for newcomers
  • $\color{green}{help}$ $\color{green}{wanted}$ - Extra attention is needed - great for external contributors
  • $\color{lightblue}{documentation}$ - Improvements or additions to documentation

πŸš€ The Agentic Workflow

This is where the real power lies. You will act as the director, and your AI Agent will be the one writing the code. Your role is to provide clear, high-level instructions and review the results.

1. Environment Setup

First, prepare your local machine with the necessary tools.

  1. Install Git: Download from git-scm.com.
  2. Install NodeJS: We recommend version 24 or later. Download from nodejs.org.
  3. Install VS Code: Download the Insider's Edition for the latest features.

2. Install Your AI Code Agents

Open your terminal or command prompt and install one or more of the following AI agents. You can install all of them and choose which one to use for any given task.

  • Google Gemini CLI:
    npm install -g @google/gemini-cli
  • Anthropic Claude Code:
    npm install -g @anthropic-ai/claude-code
  • OpenAI Codex CLI (Legacy):
    npm install -g @openai/codex@native

3. Configure VS Code with Essential Extensions

Enhance VS Code with these extensions. Open VS Code, go to the Extensions tab (Ctrl+Shift+X), and install them:

4. The Agentic Workflow: A High-Level View

This first diagram shows the entire process from start to finish. Think of it as your project map.

sequenceDiagram
    participant You as Human Director
    participant GitHub
    participant LocalMachine as Your Local Machine
    participant AIAgent as AI Agent (CLI)

    You->>GitHub: 1. Find Issue and Fork Repository
    GitHub-->>You: Provides forked repo URL
    You->>LocalMachine: 2. git clone <forked-url>
    You->>LocalMachine: 3. Create Instruction File (e.g., GEMINI.md)
    You->>AIAgent: 4. Execute Core Iteration Loop (See detail below)
    AIAgent-->>You: Loop finishes when you are satisfied
    You->>LocalMachine: 5. git commit and git push
    LocalMachine-->>GitHub: Pushes changes to your fork
    You->>GitHub: 6. Create Pull Request
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5. The Core Agentic Iteration Loop (Detailed View)

This is the most important part of the process. You will repeat this loop until the task is completed perfectly. Your job is to be the visionary; the agent's job is to handle the implementation.

graph TD
    subgraph "You: The Director"
        A["πŸ“<br><b>Step 1: Write/Refine Instructions</b><br>In your `GEMINI.md` or `CLAUDE.md` file, clearly define the goal and requirements."]
    end

    subgraph "AI Agent: The Implementer"
        B["πŸ€–<br><b>Step 2: Command Agent</b><br>Run `gemini --init < GEMINI.md` in your terminal."]
        C["πŸ’»<br><b>Step 3: Agent Modifies Code</b><br>The AI reads your instructions and edits the project files."]
    end

    subgraph "You: The Quality Assurance"
        D["πŸ‘€<br><b>Step 4: Review Changes</b><br>Use the Source Control tab in VS Code to see what the agent did."]
        E["🌐<br><b>Step 5: Preview Live</b><br>If it's a website, use Live Server to see the changes in a browser."]
        F{"βœ…<br><b>Step 6: Is the result perfect?</b>"}
    end

    subgraph "Final Step"
        G["πŸŽ‰<br><b>Done!</b><br>Exit loop and commit your changes."]
    end

    A --> B --> C --> D --> E --> F
    F -- "No, needs more work" --> A
    F -- "Yes, exactly!" --> G
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6. Prepare Instructions for Your Agent

As highlighted in the diagrams, your instruction file is the key to success.

  1. After cloning a repository, create a new file named GEMINI.md or CLAUDE.md.
  2. Run the /init command if the agent supports it, or simply use our template below. This file is your control panel for the AI.

Instruction File Template (GEMINI.md):

# TASK: Update the Call-to-Action button on the homepage (Resolves Issue #45)

## 1. Goal
The current button text "Submit" is not engaging. We need to update it to "Start Your Free Trial" and change its color to a vibrant blue.

## 2. Files to Modify
The agent should first locate the primary homepage file, likely named `index.html`, `main.jsx`, or `HomePage.vue`. It should also find the corresponding CSS file that styles this button.

## 3. Requirements
- **HTML/JSX Change:** Find the button with the text "Submit" and change its text to "Start Your Free Trial".
- **CSS Change:**
    - Give the button a new CSS class if it doesn't have one, e.g., `cta-button`.
    - Style `.cta-button` with `background-color: #007bff;` and `color: white;`.
    - Ensure there are no regressions or visual bugs.

## 4. Verification
After the changes, the button on the homepage should be blue and read "Start Your Free Trial".

7. Execute, Review, and Iterate

Now, follow the Core Agentic Iteration Loop you saw in the diagram.

  1. Execute:
    # For Gemini
    gemini --init < GEMINI.md
    
    # For Claude
    claude -p "Carefully read the instructions in CLAUDE.md and execute the required code changes across the necessary files."
  2. Review:
    • Your agent will report the files it has changed.
    • Open the "Source Control" tab in VS Code to see a diff of the changes.
    • If you're working on a website, right-click your index.html file and select "Open with Live Server" to see the changes live in your browser.
  3. Iterate:
    • If the agent made a mistake or you want to refine the result, do not edit the code yourself.
    • Update your instruction file. Add more detail. For example: "The blue color is too dark. Use #3399ff instead."
    • Run the agent again. Repeat this loop until the output is perfect.

8. Commit and Create Your Pull Request

Once you're satisfied and have exited the loop, it's time to submit your contribution.

  1. Ask your agent to write the commit message for you based on the changes.
    claude "Based on the staged changes, write a conventional commit message that references issue #45."
  2. Copy the message and commit your changes through the VS Code UI.
  3. Push your branch and create a Pull Request on GitHub. Your PR description should link to the issue and can include a summary of the changes, which you can also ask your agent to write.

Contributing & Earning Money

We welcome Pull Requests from everyone. By leveraging AI agents, you can make substantial contributions with impressive speed.

πŸ€‘ $\color{green}{Want}$ $\color{green}{to}$ $\color{green}{Make}$ $\color{green}{Money!?}$- We provide compensation for significant contributions to our projects. To be eligible, add a USDT (TRC-20) wallet address to your GitHub profile bio.

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