afa-diagnose

Community

Turn fuzzy signals into actionable diagnostics.

Authorafadtc
Version1.0.0
Installs0

System Documentation

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.

Dependency Matrix

Required Modules

None required

Components

Standard package

💻 Claude Code Installation

Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.

Please help me install this Skill:
Name: afa-diagnose
Download link: https://github.com/afadtc/afa-dtc-skills/archive/main.zip#afa-diagnose

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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