afa-diagnose

Diagnose DTC full-funnel issues across eight diagnostic dimensions.

138|39|Updated Apr 29, 2026
One-click install
npx skills add https://github.com/afadtc/afa-dtc-skills --skill afa-diagnose
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: afa-diagnose
Source: https://github.com/afadtc/afa-dtc-skills/tree/main/afa-diagnose
Command: npx skills add https://github.com/afadtc/afa-dtc-skills --skill afa-diagnose

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill provides a structured, data-driven approach to diagnosing and attributing issues across the full DTC funnel, translating fuzzy business signals into actionable priorities and routing them to the right specialists.

Core Features & Use Cases

  • Stage 0: Problem clarification engine to convert vague statements into MECE problems mapped to eight diagnostic dimensions.
  • 3-stage diagnostic: framework decomposition, data collection, and final judgement with evidence.
  • 8 diagnostic dimensions: Profit/Premium, Conversion, Paid Media, Retention, SEO, Competitors, Email, Operational Efficiency.
  • Automated prioritization: ICE, RICE, and MoSCoW to rank actions; clear output templates for handoff.
  • Handoffs: structured routing to other skills such as afa-product, afa-convert, afa-brand, etc.
  • Output artifacts: diagnostic reports, brand memory entries, and next-step playbooks.

Quick Start

Provide a concise, prioritized action plan for the current diagnosis.

Frequently Asked Questions about afa-diagnose

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

FAQPage Schema
How do I diagnose full-funnel DTC issues from fuzzy signals?

To diagnose full-funnel DTC issues, process fuzzy business signals through a problem clarification engine that maps statements to eight diagnostic dimensions, converting them into actionable priorities and structured routing for specialists.

What is the best way to prioritize DTC data analysis actions?

The best way to prioritize DTC data analysis actions is applying ICE, RICE, and MoSCoW frameworks to rank diagnostic findings, generating clear output templates and next-step playbooks for structured handoffs.

How do I convert vague business problems into structured diagnostics?

Convert vague business problems into structured diagnostics using a problem clarification engine that transforms fuzzy statements into MECE problems mapped across eight diagnostic dimensions for evidence-based final judgement.

What diagnostic dimensions are used for DTC full-funnel analysis?

Diagnostic dimensions for DTC full-funnel analysis include Profit/Premium, Conversion, Paid Media, Retention, SEO, Competitors, Email, and Operational Efficiency, covering the complete e-commerce evaluation scope.

Can I route DTC diagnostic results to specialist skills automatically?

Yes, you can route DTC diagnostic results to specialist skills through structured handoffs that direct evidence-based priorities to targeted skills like afa-product, afa-convert, and afa-brand for downstream execution.

Do I need specific data inputs for DTC funnel diagnostics?

Yes, you need valid data inputs for diagnosis, a properly configured SKILL.md frontmatter with name and description, and adherence to the repository's completion protocol and toxicity check to process diagnostics.