System Installer

Skill: Interactive System Installer

This skill provides a comprehensive, automated onboarding experience for the GeminiSkillsets ecosystem.

Activation

Trigger this skill by saying: "Run the system installer", "Setup my workspace", or "Install Gemini Skillsets".

The Installation Protocol

Step 1: File Deployment

Automatically copy the core architecture files from the repository to the global configuration:

• Copy GEMINI.md to ~/GEMINI.md.
• Copy .gemini/agents/ to ~/.gemini/agents/.
• Copy .gemini/skills/ to ~/.gemini/skills/.
• Copy .gemini/policies/ to ~/.gemini/policies/.

Step 2: Environment Provisioning

Initialize the Python environment for the Social Media AI Manager:

1. Navigate to social-mcp-server/.
2. Check for uv installation.
3. Run uv sync to install all dependencies.

Step 3: Interactive Credential Setup

Prompt the user for the following required keys using ask_user:

• TELEGRAM_BOT_TOKEN: From @BotFather.
• IMGBB_API_KEY: From api.imgbb.com (to allow photo posting from your phone).

Note: GEMINI_API_KEY is no longer required, as the system leverages your existing Ultra/OAuth session.

Once provided, write them securely to social-mcp-server/.env.

Step 4: Automated Final Launch

Once the environment is ready and keys are saved, the agent MUST offer to start the bot immediately:

1. Prompt: "System is configured. Would you like me to start the Social Media AI Bot in the background now?"
2. Action: If the user agrees, run cd social-mcp-server && uv run python bot.py as a background process (is_background=true).
3. Confirmation: Provide the user with the command to check logs: tail -f social-mcp-server/bot.log (if logging to file) or simply confirm it's running.

Troubleshooting

...

• If a step fails, use the autonomous-self-correction skill to diagnose issues (e.g., missing uv, write permissions).
• Ensure the user is running this from the GeminiSkillsets root directory.