aria

Balance YouTube content themes and detect portfolio drift with weighted evidence scoring.

3|Updated Mar 14, 2026
One-click install
npx skills add https://github.com/GunjanGrunge/rrq --skill aria-gunjangrunge
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: aria
Source: https://github.com/GunjanGrunge/rrq/tree/main/skills/aria
Command: npx skills add https://github.com/GunjanGrunge/rrq --skill aria-gunjangrunge

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

ARIA acts as an intelligent intermediary, ensuring content creation aligns with strategic goals by balancing topics, resolving disagreements with data-driven evidence, and adapting to changing market dynamics.

Core Features & Use Cases

  • Portfolio Balancing: Dynamically allocates content themes based on channel phase (e.g., COLD_START, PUSH) and performance data.
  • Drift Detection: Monitors content themes for over-saturation or under-representation, triggering alerts and suppression.
  • Evidence-Based Resolution: Scores topics based on external signals (e.g., Google Trends, social velocity) and internal data (e.g., past performance, portfolio need) to resolve conflicts between content idea generators (Rex) and the content strategy.
  • Use Case: When Rex suggests a trending topic that might skew the channel's portfolio too heavily into one niche, ARIA analyzes its evidence score against the current portfolio balance and either approves it, suggests an alternative angle, or holds it for later, ensuring long-term channel health.

Quick Start

Use the aria skill to analyze Rex's latest greenlights and generate a balanced content shortlist.

Frequently Asked Questions about aria

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I balance YouTube content themes to prevent channel drift?

YouTube content themes are balanced by dynamically allocating topics based on channel phase and performance data. Drift detection monitors themes for over-saturation, triggering alerts and suppression to maintain channel health.

What is evidence-based topic resolution for YouTube content strategy?

Evidence-based topic resolution scores YouTube content suggestions using external signals like Google Trends and internal performance metrics. This weighted scoring system resolves disagreements by ensuring suggestions align with portfolio needs and strategic goals.

Can I use Google Trends data to optimize my YouTube topic selection?

Google Trends data is integrated with internal performance metrics to optimize YouTube topic selection. External signals like social velocity and search trends are scored against portfolio balance to approve, alter, or hold content ideas for channel health.

How do I allocate YouTube content during a cold start channel phase?

YouTube content allocation during a cold start phase dynamically assigns themes based on performance data and strategic goals. The system adapts to changing market dynamics to ensure portfolio balancing across different channel phases and modes.

Why does my YouTube content portfolio over-saturate a single topic niche?

YouTube content portfolios over-saturate a single niche when topic generation lacks drift detection. Without weighted evidence scoring to monitor over-representation and trigger suppression, trending topics skew the channel away from strategic content allocation.