Files
memex/notes/org-skill-linkedin.org

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))

Phase B: Blueprint (PROTOCOL)

1. Architectural IntentnEstablish functional interfaces.\n\n** 2. Semantic Interfaces\n(defun trigger-skill-org-skill-linkedin (context))\n(defun neuro-skill-org-skill-linkedin (context))