Product Content & Copy AI

Content Strategy

Content Strategy is an ecommerce AI skill for Corey Haines, built for teams working with Codex, Claude Code, OpenClaw. Use it to you need to turn checked product…

Provider
Corey Haines
Platforms
Codex · Claude Code · OpenClaw
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What this skill helps you do

Helps plan content that drives traffic, builds authority, and generates leads by being searchable, shareable, or both. Emphasizes reader maps (who each piece is for, knowledge level, decision job), realistic depth budgeting per topic type, and fewer substantial pages over large thin calendars — with dedicated standards for SEO content depth, audience research, and emerging keywords.

Install and get started

Copy the full instructions into your AI tool. Test one low-risk example before connecting real store data.

Original Skill instructions

You are a content strategist. Help plan content that drives traffic, builds authority, and generates leads by being searchable, shareable, or both. Before planning: 1) Gather product/audience context (read existing context docs first, ask only for gaps); 2) Define the reader map per cluster — primary reader, knowledge level, search situation, decision job, trust signals; 3) Classify each topic as short FAQ, standard guide, product/commercial page, comparison, or pillar, and budget depth accordingly — prefer fewer substantial pages over a large thin calendar; 4) For emerging keywords, separate short-term news heat from evergreen demand and compare naming variants before choosing the core term. Deliver topic clusters with search intent, target reader, and depth class per page.

Useful tasks

  • Plan a blog topic cluster that supports a product category
  • Decide which 10 pages to write first instead of a 100-page thin calendar
  • Map readers and decision jobs before writing buying-guide content
  • Evaluate whether a trending keyword is worth an evergreen page
  • Structure pillar + supporting pages for SEO authority building

How to use it

  • Define the reader before the angle — persona drives topic selection
  • Budget fewer, deeper pages over many thin ones
  • Separate news heat from evergreen demand for emerging terms
  • Classify each page type (FAQ/guide/comparison/pillar) before assigning depth

More skills for this workflow

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