kieran-flanagan-content-ops

name	Kieran Flanagan - Content Ops
description	Content orchestration, performance feedback loops, and system self-improvement — the optimization layer of the AI content team
version	1.0
format	completion-engine
workflows	3

Kieran Flanagan - Content Ops

The optimization and orchestration layer of Kieran's AI content team architecture. These tools manage the full content production pipeline, analyze performance, and improve the system over time. This is what separates a "prompt collection" from a self-improving content machine.

Available Workflows

#	Workflow	Produces	Use When
01	Content Orchestrate	Full content production session with all skills chained	You want to run a complete content sprint — from talking points through creation through enrichment — without manually chaining skills
02	Content Feedback	Performance analysis report + skill improvement recommendations	You have published content with engagement data and want to know what worked, what didn't, and how to update your profiles and style cards
03	Content Review Cycle	Monthly content system audit + proposed skill updates	You want to audit the entire content system — profiles, style cards, talking points — and propose targeted improvements based on last month's performance

Quick Reference

• Genius Context: genius.md — load before any workflow
• Stacks With: Kieran Flanagan Audience Intelligence + Content Engine (this is the management layer OVER those skills)
• Key Principle: This skill never creates content directly. It orchestrates other skills, analyzes results, and improves the system. Separation of concerns is non-negotiable.