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muhammadsami987123 / repository
Autonomous AI-powered LinkedIn posting agent (Digital FTE) that generates and publishes branded content on a 3-hour loop using GPT-4o and LinkedIn API v2. Built with Agent Factory methodology.
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"Always On. Always Caring. Always Empowering."
Aisha is a Digital FTE (Full-Time Equivalent) built to manage the Marsa Empower LinkedIn presence. Following the AI Agent Factory methodology, Aisha operates as an autonomous digital employee dedicated to women's safety, health, and growth.
Navigate to the digital-fte directory and install the necessary libraries:
cd digital-fte
pip install requests python-dotenv
example.env file to a new file named .env:
cp example.env .env
.env and fill in your credentials.To allow Aisha to post on your behalf, you need a LinkedIn Access Token:
Share on LinkedInSign In with LinkedInw_member_social or w_organization_social scope..env as LINKEDIN_ACCESS_TOKEN.urn:li:organization:12345678Aisha can be run in two modes:
Generates and "publishes" a single post to your terminal for verification.
python main.py
Aisha starts her autonomous loop, posting every 3 hours.
python main.py --run
specs/: Contains the Markdown blueprints (Aisha's "Charter").skills/: The core logic folders. Each skill (like linkedin-automation) contains a SKILL.md explaining what it does and how.scripts/: The actual Python implementation (automation.py).main.py: The entry point/orchestrator.Built with Plot CLI (Claude Code) following Panaversity Agent Factory Standards.