dtc-brand-brain

Compile DTC brand materials into a searchable wiki with traceable sources.

1|Updated Feb 6, 2026
One-click install
npx skills add https://github.com/williamsforeal/Cyclone-SS --skill dtc-brand-brain
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: dtc-brand-brain
Source: https://github.com/williamsforeal/Cyclone-SS/tree/main/global-skills/dtc-brand-brain
Command: npx skills add https://github.com/williamsforeal/Cyclone-SS --skill dtc-brand-brain

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill turns scattered DTC brand materials (ad exports, customer reviews, competitor creatives, brand guidelines, and performance reports) into a grounded, searchable knowledge base your team can query for clearer creative decisions and strategy.

Core Features & Use Cases

  • Maintains a traceable DTC wiki: compiles sources from raw/ into wiki/ with rules that keep every claim backed by an underlying raw file.
  • Organizes common growth inputs: centralizes ad hooks/angles, customer pains and objections, competitor positioning, brand voice rules, and performance patterns.
  • Supports ongoing updates and QA: provides a compile workflow for new raw files plus a health check mode to flag contradictions and gaps over time.
  • Use case: when you dump a month of Meta/TikTok ad exports, customer reviews, and competitor screenshots into raw/, the Skill can compile or update the wiki so you can ask questions like which hooks are working and which objections repeat.

Quick Start

Ask the Skill to set up your DTC Brand Brain by creating the dtc-brand-brain folder structure and scaffolding CLAUDE.md plus the initial wiki index and core topic articles, then direct you to drop your files into the appropriate raw/ subfolders.

Frequently Asked Questions about dtc-brand-brain

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

FAQPage Schema
How do I organize messy DTC brand assets into a searchable knowledge base?

You can organize messy DTC brand assets by compiling ad exports, customer reviews, and competitor creatives into a structured wiki with cross-linked articles. This creates a searchable knowledge base where every claim is backed by an immutable raw source file.

What is the best way to compile Meta and TikTok ad exports for creative analysis?

Compiling Meta and TikTok ad exports works best by dropping the raw files into a designated folder, then running a scaffolding process that organizes hooks and angles into a wiki. This enables you to query which hooks are working and identify repeating customer objections.

Can I use this DTC wiki workflow for ongoing competitor angle analysis?

Yes, you can use this DTC wiki workflow for ongoing competitor angle analysis by running a compile workflow for new raw files. It includes a health check mode to flag contradictions and gaps over time, keeping competitor positioning insights current.

How does a searchable brand wiki handle traceability for customer insights?

A searchable brand wiki enforces traceability by preserving raw source exports as immutable files and cross-linking wiki articles back to them. This ensures every extracted customer insight and objection is fully backed by the original data.

Do I need a specific folder structure to build a DTC brand knowledge base?

You need a specific folder structure to build a DTC brand knowledge base, separating raw source files from compiled wiki articles. The Skill scaffolds this structure along with an index file to act as the source of truth for your brand voice and performance patterns.