1.7 KiB
1.7 KiB
SKILL: LinkedIn Automation Agent (Universal Literate Note)
Overview
The LinkedIn Automation Agent is a revenue-focused skill designed to automate professional outreach and job applications. It leverages neural synthesis to personalize resumes and cover letters, ensuring a high conversion rate in the job market.
Phase A: Demand (PRD)
1. Purpose
Automate the "Easy Apply" process on LinkedIn to sustain revenue streams.
2. User Needs
- Job Perception: Periodically scan LinkedIn for roles matching the "Software Engineer" and "Lisp" criteria.
- Neural Personalization: Generate tailored cover letters using the kernel's neural engine.
- Automated Application: Use a headless browser (Playwright/Selenium) to submit applications.
- Success Tracking: Log application status to the Object Store.
3. Success Criteria
TODO Successful login to LinkedIn via session cookies.
TODO Neural synthesis of a cover letter based on a specific job description.
TODO Automated submission of at least one "Easy Apply" form.
Registration
(defskill :skill-linkedin
:priority 50
:trigger (lambda (context) (eq (getf (getf context :payload) :sensor) :revenue-pulse))
:neuro (lambda (context) nil)
:symbolic (lambda (action context) action))