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OrionArchitekton
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gtm-feedback-loop

Analyze weekly Go-To-Market KPIs, marketing, and finance data with local reasoning models.

Updated Aug 27, 2026
Search Tags:#marketing#finance#performance analysis#recommendations#kpis#gtm
One-click install
npx skills add https://github.com/OrionArchitekton/cosmocrat-core --skill gtm-feedback-loop
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: gtm-feedback-loop
Source: https://github.com/OrionArchitekton/cosmocrat-core/tree/main/skills/oia/gtm-feedback-loop
Command: npx skills add https://github.com/OrionArchitekton/cosmocrat-core --skill gtm-feedback-loop

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill automates the weekly analysis of Go-To-Market performance data, identifying key variances and providing actionable recommendations to improve business outcomes.

Core Features & Use Cases

  • Performance Analysis: Analyzes KPIs, marketing, and financial data to identify performance trends and deviations.
  • Recommendation Generation: Produces data-driven recommendations for optimizing GTM strategies.
  • Automation Hooks: Generates hooks for further automation based on analysis findings.
  • Use Case: A marketing manager can use this Skill to get a weekly report highlighting which campaigns are underperforming and suggest budget reallocations.

Quick Start

Run the gtm-feedback-loop skill for the current week's performance analysis.

Frequently Asked Questions about gtm-feedback-loop

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

FAQPage Schema
How do I automate weekly Go-To-Market performance analysis?▼

You can automate weekly Go-To-Market performance analysis by running a Skill that evaluates KPIs, marketing, and finance data to identify variances and generate optimization recommendations.

What is a GTM feedback loop and how does it work?▼

A GTM feedback loop is a weekly process that analyzes performance data, identifies key variances, and produces data-driven recommendations and automation hooks to optimize business outcomes.

Can I generate budget reallocation recommendations from marketing KPIs?▼

Yes, you can generate budget reallocation recommendations from marketing KPIs by analyzing weekly performance data to identify underperforming campaigns and suggest actionable optimizations.

Does the gtm-feedback-loop Skill require specific local reasoning models?▼

The gtm-feedback-loop Skill operates on Atlas and uses the deepseek-r1:7b local reasoning model to provide cost-effective processing for generating performance recommendations.

How do I create automation hooks from performance analysis findings?▼

Create automation hooks from performance analysis findings by running the weekly GTM evaluation, which identifies variances and automatically generates hooks for downstream automation.

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