#+TITLE: SKILL: LinkedIn Automation Agent (Universal Literate Note)
#+ID: skill-linkedin
#+STARTUP: content
#+FILETAGS: :business:automation:linkedin:revenue:psf:

* 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)
:PROPERTIES:
:STATUS: FROZEN
:END:

** 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
#+begin_src lisp
(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))
#+end_src

* Phase B: Blueprint (PROTOCOL)
:PROPERTIES:
:STATUS: SIGNED
:END:

** 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))