content-strategy

Overview of content-strategy skill

What content-strategy is built to do

The content-strategy skill helps an AI assistant plan what content to create, why it should exist, and how it should support traffic, authority, and lead generation. It is best suited for Content Marketing teams, founders, consultants, and solo marketers who need a repeatable strategy workflow rather than a one-off list of blog ideas.

Best-fit use cases for Content Marketing

Use this content-strategy skill when you are deciding topics, building blog strategy, mapping topic clusters, prioritizing searchable versus shareable content, or turning customer questions into a publishing plan. It is especially useful before briefing writers, planning an editorial calendar, or evaluating whether existing content supports real buyer questions.

What makes it different from a generic prompt

The skill pushes the assistant to gather business context, customer research, and current-state constraints before planning. Its reference material frames content as either searchable, shareable, or both, with search traffic treated as the foundation. It also includes scripts/topic_cluster_mapper.py, a practical helper for grouping keyword or topic lists into clusters.

When this skill is not the right tool

Do not treat content-strategy as a full SEO audit, copywriting engine, or finished article generator. For technical SEO issues, use an SEO audit workflow. For drafting landing pages, ads, or individual articles, pair the strategy output with a copywriting or editorial skill after the plan is clear.

How to Use content-strategy skill

content-strategy install and repository path

Install the skill from the GitHub repository with:

npx skills add alirezarezvani/claude-skills --skill content-strategy

The relevant source lives at marketing-skill/skills/content-strategy. After install, read SKILL.md first, then references/content-strategy-reference.md, then inspect scripts/topic_cluster_mapper.py if you have a keyword list that needs clustering. The repository does not include a separate README.md or metadata.json inside this skill folder, so the main operating instructions are in SKILL.md and the reference file.

Inputs that make content-strategy useful

The skill works best when you provide business context, audience detail, and constraints up front. Strong inputs include:

• Company, product, category, and positioning
• Ideal customer profile and buying committee
• Primary content goal: traffic, leads, brand awareness, authority, or sales enablement
• Common sales objections, support questions, and customer language
• Existing content URLs or performance notes
• Available formats, team capacity, budget, and publishing cadence
• Seed keywords, competitor sites, or topic ideas

If your project has .claude/product-marketing-context.md, the skill is designed to read that first and ask only for missing task-specific details.

Turning a rough request into a strong prompt

A weak prompt is: “Give me content ideas for our SaaS.”

A stronger prompt for content-strategy usage is:

“Use the content-strategy skill to build a 90-day content plan for a B2B project management SaaS for design agencies. Goal: qualified demo requests. ICP: agency owners and operations leads at 10–80 person firms. Common objections: migration effort, team adoption, and proving ROI. Existing content: three basic blog posts with little traffic. Resources: one writer, two posts per month, one founder interview per month. Include searchable topics, shareable thought-leadership angles, topic clusters, and which pieces should be created first.”

This gives the assistant enough context to prioritize instead of producing a generic idea list.

Practical workflow and helper script

Start with strategy discovery, then ask for topic clusters, then convert the highest-priority clusters into briefs or an editorial calendar. If you already have keywords in keywords.txt, the helper script can group them:

python3 scripts/topic_cluster_mapper.py --file keywords.txt

Use the script output as a starting point, not a final strategy. The clustering is lightweight and based on simple text matching, so review clusters for search intent, buyer relevance, funnel stage, and whether each topic is searchable, shareable, or both.

content-strategy skill FAQ

Is content-strategy beginner-friendly?

Yes, but beginners should provide more context than they think is necessary. The skill can ask discovery questions, but results improve when you explain the product, audience, customer objections, and current content situation. Without those details, it may produce plausible but low-specificity recommendations.

How is it different from asking for blog ideas?

A normal prompt often returns disconnected topics. The content-strategy skill is structured to connect topics to business goals, customer research, content type, search demand, shareability, and content clusters. That makes it better for planning a content program, not just filling a calendar.

Does it replace keyword research tools?

No. It can organize and reason about keywords, but it does not fetch live search volume, ranking difficulty, SERP features, or competitor metrics by itself. For serious SEO planning, bring data from tools such as Google Search Console, Ahrefs, Semrush, or similar platforms, then use the skill to prioritize and structure the plan.

When should Content Marketing teams avoid it?

Avoid using it as the only source of truth when you have no customer insight, no product positioning, or no distribution capacity. The skill can create a strategy framework, but it cannot invent credible market evidence. It is also not ideal for teams that only need final article copy and already have briefs.

How to Improve content-strategy skill

Improve content-strategy outputs with better evidence

The best way to improve content-strategy results is to feed it real customer and performance data. Add sales call notes, support ticket themes, onboarding questions, competitor gaps, high-converting pages, and failed content examples. Ask the assistant to separate assumptions from evidence so the plan is easier to trust.

Watch for common failure modes

Common problems include overproducing top-of-funnel topics, ignoring buying objections, clustering by similar words instead of intent, and recommending content formats your team cannot sustain. If the first output feels too broad, ask the skill to rank ideas by business impact, confidence, effort, and dependency on subject-matter experts.

Iterate from strategy to execution

After the first plan, ask for a second pass that turns selected topics into briefs. A useful follow-up is:

“Take the top five topics from the content-strategy plan and create briefs with target reader, search intent, key questions to answer, suggested title, internal links, expert input needed, and conversion next step.”

This moves the output from strategic direction into work your team can assign.

Adapt the repository to your market

For repeated use, customize the workflow around your category. Add your own positioning notes, content scoring model, preferred formats, competitor list, and examples of content that matches your brand. If topic clustering is central to your process, consider improving scripts/topic_cluster_mapper.py with search intent labels, manual overrides, or imported keyword metrics.