#+TITLE: SKILL: The Economist Agent (Universal Literate Note)
#+ID: skill-economist
#+STARTUP: content
#+FILETAGS: :economics:optimization:budget:psf:
#+DEPENDS_ON: skill-router skill-performance-auditor

* Overview
The **Economist Agent** manages the PSF's compute resources. It predicts the "Cost of Thought" for a task and autonomously selects the most cost-effective LLM provider or local model based on complexity and remaining budget.

* Phase A: Demand (PRD)
:PROPERTIES:
:STATUS: FROZEN
:END:

** 1. Purpose
Optimize token usage and compute overhead without sacrificing architectural integrity.

** 2. User Needs
- **Predictive Budgeting:** Estimate token cost before triggering SOTA models.
- **Provider Switching:** Dynamically route tasks between local (Ollama) and cloud (Gemini) models.
- **Audit Reports:** Provide transparency on compute consumption.

* Phase D: Build (Implementation)

** Resource Allocation
#+begin_src lisp :tangle projects/org-skill-economist/src/economist-logic.lisp
(defun economist-route-task (complexity)
  "Selects the optimal model backend based on task complexity (1-10)."
  (let ((budget (get-current-token-budget)))
    (cond
      ((> complexity 8) :gemini-1.5-pro) ; SOTA for architectural decisions
      ((and (> complexity 5) (> budget 100)) :gemini-flash)
      (t :ollama-local)))) ; Default to zero-cost local thought

(defun get-current-token-budget ()
  "Reads the remaining budget from org-agent telemetry."
  ;; Placeholder for actual telemetry lookup
  1000)
#+end_src

* Registration
#+begin_src lisp
(defskill :skill-economist
  :priority 95
  :trigger (lambda (context) (eq (getf (getf context :payload) :sensor) :budget-audit))
  :neuro (lambda (context) "Analyze current compute efficiency and propose routing updates.")
  :symbolic (lambda (action context) action))
#+end_src