42 lines
1.7 KiB
Org Mode
42 lines
1.7 KiB
Org Mode
#+TITLE: SKILL: LinkedIn Automation Agent (Universal Literate Note)
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#+ID: skill-linkedin
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#+STARTUP: content
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#+FILETAGS: :business:automation:linkedin:revenue:psf:
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* Overview
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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.
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* Phase A: Demand (PRD)
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:PROPERTIES:
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:STATUS: FROZEN
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:END:
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** 1. Purpose
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Automate the "Easy Apply" process on LinkedIn to sustain revenue streams.
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** 2. User Needs
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- *Job Perception:* Periodically scan LinkedIn for roles matching the "Software Engineer" and "Lisp" criteria.
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- *Neural Personalization:* Generate tailored cover letters using the kernel's neural engine.
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- *Automated Application:* Use a headless browser (Playwright/Selenium) to submit applications.
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- *Success Tracking:* Log application status to the Object Store.
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** 3. Success Criteria
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*** TODO Successful login to LinkedIn via session cookies.
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*** TODO Neural synthesis of a cover letter based on a specific job description.
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*** TODO Automated submission of at least one "Easy Apply" form.
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* Registration
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#+begin_src lisp
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(defskill :skill-linkedin
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:priority 50
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:trigger (lambda (context) (eq (getf (getf context :payload) :sensor) :revenue-pulse))
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:neuro (lambda (context) nil)
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:symbolic (lambda (action context) action))
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#+end_src
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* Phase B: Blueprint (PROTOCOL)
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:PROPERTIES:
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:STATUS: SIGNED
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:END:
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** 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)) |