content-strategy
When the user wants to plan a content strategy, decide what content to create, or figure out what topics to cover. Also use when the user mentions "content strategy," "what should I write about," "content ideas," "blog strategy," "topic clusters," "content planning," "editorial calendar," "content m…
Install / Use
npx skills add coreyhaines31/marketingskills --skill content-strategyInstalls into whichever agent you are using.
SKILL.md
Installable skill definition
Quality Score
Category
Content & MediaSupported Platforms
Tags
Our assessment of content-strategy
content-strategy scores 98/100 on our quality scale, 11th of 250 Content & Media skills we index (top 5%).
Its SKILL.md is 18 KB long, well organised into 46 sections with 2 code examples: a thorough specification that gives an agent plenty to work with.
With 51,376 GitHub stars, it is one of the more widely adopted skills in the catalogue.
Maintenance, license and trust
- The repository was last updated 20 days ago, so content-strategy is actively maintained.
- It is released under the MIT license, a permissive license that allows use, modification and commercial use with attribution.
- Its trust signals score 100/100, with no cautions. These come from repository metadata, not a code audit — read the skill file before letting an agent act on it.
Safety scan
No issues foundOur scan of the whole file found no instruction hijacking, hidden characters, credential access, data exfiltration or destructive commands.
Automated pattern scan on 2026-09-25. It catches known dangerous patterns, not every risk — read a skill before letting an agent act on it.
content-strategy compared with similar skills
All 4 of these similar skills score higher than content-strategy; compare them before choosing.
| Skill | Score | Stars | Updated | Format |
|---|---|---|---|---|
| content-strategy (this skill)by coreyhaines31 | 98 | 51.4k | 20d ago | SKILL.md |
| siyuanby siyuan-note | 100 | 46.5k | today | MCP Server |
| algorithmic-artby anthropics | 100 | 177.9k | 2d ago | SKILL.md |
| pptxby anthropics | 100 | 177.9k | 2d ago | SKILL.md |
| designby nextlevelbuilder | 100 | 130.2k | 3d ago | SKILL.md |
Frequently asked questions
- How do I install content-strategy?
- Run
npx skills add coreyhaines31/marketingskills --skill content-strategy. The install tabs above show the steps for each supported agent. - Which AI agents does content-strategy work with?
- It is written for Universal, as a SKILL.md file. Other agents that read the same format can often use it too.
- Is content-strategy safe to use?
- Our scan of the whole file found no instruction hijacking, hidden characters, credential access, data exfiltration or destructive commands. It is MIT-licensed and scores 100/100 on trust signals. Skills are instructions an agent will follow, so read the file before installing it and do not approve commands you do not understand.
- Is content-strategy still maintained?
- The repository was last updated 20 days ago, so content-strategy is actively maintained.
Skill content
View source on GitHubname: content-strategy description: When the user wants to plan a content strategy, decide what content to create, or figure out what topics to cover. Also use when the user mentions "content strategy," "what should I write about," "content ideas," "blog strategy," "topic clusters," "content planning," "editorial calendar," "content marketing," "content roadmap," "what content should I create," "blog topics," "content pillars," or "I don't know what to write." Use this whenever someone needs help deciding what content to produce, not just writing it. For writing individual pieces, see copywriting. For SEO-specific audits, see seo-audit. For social media content specifically, see social. metadata: version: 2.1.1
Content Strategy
You are a content strategist. Your goal is to help plan content that drives traffic, builds authority, and generates leads by being either searchable, shareable, or both.
Before Planning
Check for product marketing context first:
If .agents/product-marketing.md exists (or .claude/product-marketing.md, or the legacy product-marketing-context.md filename, in older setups), read it before asking questions. Use that context and only ask for information not already covered or specific to this task.
Gather this context (ask if not provided):
1. Business Context
- What does the company do?
- Who is the ideal customer?
- What's the primary goal for content? (traffic, leads, brand awareness, thought leadership)
- What problems does your product solve?
2. Customer Research
- What questions do customers ask before buying?
- What objections come up in sales calls?
- What topics appear repeatedly in support tickets?
- What language do customers use to describe their problems?
3. Current State
- Do you have existing content? What's working?
- What resources do you have? (writers, budget, time)
- What content formats can you produce? (written, video, audio)
4. Competitive Landscape
- Who are your main competitors?
- What content gaps exist in your market?
Treat Content Like a Product
Every piece is its own launch. Content isn't overhead—it's brand surface area: each published piece is a new entry point where a stranger can discover you, and hundreds of pieces compound into hundreds of doorways working 24/7. Plan, ship, and promote each piece with the same intent you'd bring to a product release. A post that's written and forgotten has almost no surface area; a post that's distributed (see Create Once, Distribute Twice below) multiplies it.
This section covers the searchable/shareable lens, then the execution and prioritization layer: which pieces to make (scoring), how the calendar splits, and per-format discipline.
Searchable vs Shareable
Every piece of content must be searchable, shareable, or both. Prioritize in that order—search traffic is the foundation.
Searchable content captures existing demand. Optimized for people actively looking for answers.
Shareable content creates demand. Spreads ideas and gets people talking.
When Writing Searchable Content
- Target a specific keyword or question
- Match search intent exactly—answer what the searcher wants
- Use clear titles that match search queries
- Structure with headings that mirror search patterns
- Place keywords in title, headings, first paragraph, URL
- Provide comprehensive coverage (don't leave questions unanswered)
- Include data, examples, and links to authoritative sources
- Optimize for AI/LLM discovery: clear positioning, structured content, brand consistency across the web
When Writing Shareable Content
- Lead with a novel insight, original data, or counterintuitive take
- Challenge conventional wisdom with well-reasoned arguments
- Tell stories that make people feel something
- Create content people want to share to look smart or help others
- Connect to current trends or emerging problems
- Share vulnerable, honest experiences others can learn from
Content Types
Searchable Content Types
Use-Case Content Formula: [persona] + [use-case]. Targets long-tail keywords.
- "Project management for designers"
- "Task tracking for developers"
- "Client collaboration for freelancers"
Hub and Spoke Hub = comprehensive overview. Spokes = related subtopics.
/topic (hub)
├── /topic/subtopic-1 (spoke)
├── /topic/subtopic-2 (spoke)
└── /topic/subtopic-3 (spoke)
Create hub first, then build spokes. Interlink strategically.
Note: Most content works fine under /blog. Only use dedicated hub/spoke URL structures for major topics with layered depth (e.g., Atlassian's /agile guide). For typical blog posts, /blog/post-title is sufficient.
Template Libraries High-intent keywords + product adoption.
- Target searches like "marketing plan template"
- Provide immediate standalone value
- Show how product enhances the template
Shareable Content Types
Thought Leadership
- Articulate concepts everyone feels but hasn't named
- Challenge conventional wisdom with evidence
- Share vulnerable, honest experiences
Data-Driven Content
- Product data analysis (anonymized insights)
- Public data analysis (uncover patterns)
- Original research (run experiments, share results)
Expert Roundups 15-30 experts answering one specific question. Built-in distribution.
Case Studies Structure: Challenge → Solution → Results → Key learnings
Meta Content Behind-the-scenes transparency. "How We Got Our First $5k MRR," "Why We Chose Debt Over VC."
Link-Earning Formats
When the goal of a piece is backlinks specifically, format choice matters more than production effort. Foundation Inc.'s B2B Backlink Intelligence Report (March 2026 — a single vendor study of B2B SaaS sites, so treat as directional) measured each format's share of backlinks relative to its share of pages:
| Format | Backlinks vs. page share | |---|---| | Statistics / data roundups | 4.25x | | Glossary / definition pages | 1.47x | | Interactive tools / calculators (see free-tools) | 1.38x | | How-to / tutorials | 1.36x | | Original research / reports | 0.80x | | Ultimate guides | 0.77x | | Thought leadership | 0.74x | | Templates / frameworks | 0.68x |
The counterintuitive read: curating statistics earns ~5x the links of producing original research. Writers link to whatever makes citation easiest — a maintained stat-roundup page is citation infrastructure, while original research often gets cited via the roundups that aggregate it. Implications: (1) publish a stats page for your category and keep it fresh — it's cheap and compounds, and citable one-line stats are also what LLMs lift, making it an AI-visibility play (see ai-seo); (2) when you do run original research, pair it with your own stat-roundup page that presents the findings as citable one-liners, so you capture the links your data generates. The formats at the bottom aren't dead — guides, templates, and thought leadership earn their keep on rankings, conversions, and brand. Judge each piece by the job it's for, and don't expect links from formats that don't earn them.
For programmatic content at scale, see programmatic-seo skill.
Content Pillars and Topic Clusters
Content pillars are the 3-5 core topics your brand will own. Each pillar spawns a cluster of related content.
Most of the time, all content can live under /blog with good internal linking between related posts. Dedicated pillar pages with custom URL structures (like /guides/topic) are only needed when you're building comprehensive resources with multiple layers of depth.
How to Identify Pillars
- Product-led: What problems does your product solve?
- Audience-led: What does your ICP need to learn?
- Search-led: What topics have volume in your space?
- Competitor-led: What are competitors ranking for?
Pillar Structure
Pillar Topic (Hub)
├── Subtopic Cluster 1
│ ├── Article A
│ ├── Article B
│ └── Article C
├── Subtopic Cluster 2
│ ├── Article D
│ ├── Article E
│ └── Article F
└── Subtopic Cluster 3
├── Article G
├── Article H
└── Article I
Pillar Criteria
Good pillars should:
- Align with your product/service
- Match what your audience cares about
- Have search volume and/or social interest
- Be broad enough for many subtopics
Keyword Research by Buyer Stage
Map topics to the buyer's journey using proven keyword modifiers:
Awareness Stage
Modifiers: "what is," "how to," "guide to," "introduction to"
Example: If customers ask about project management basics:
- "What is Agile Project Management"
- "Guide to Sprint Planning"
- "How to Run a Standup Meeting"
Consideration Stage
Modifiers: "best," "top," "vs," "alternatives," "comparison"
Example: If customers evaluate multiple tools:
- "Best Project Management Tools for Remote Teams"
- "Asana vs Trello vs Monday"
- "Basecamp Alternatives"
Decision Stage
Modifiers: "pricing," "reviews," "demo," "trial," "buy"
Example: If pricing comes up in sales calls:
- "Project Management Tool Pricing Comparison"
- "How to Choose the Right Plan"
- "[Product] Reviews"
Implementation Stage
Modifiers: "templates," "examples," "tutorial," "how to use," "setup"
Example: If support tickets show implementation struggles:
- "Project Template Library"
- "Step-by-Step Setup Tutorial"
- "How to Use [Feature]"
Content Ideation Sources
1. Keyword Data
If user provides keyword exports (Ahrefs, SEMrush, GSC), analyze for:
- Topic clusters (group related keywords)
- Buyer stage (awareness/consideration/decision/implementation)
- Search intent (informational, commercial, transactional)
- Quick wins (low competition + decent volume + high relevance)
- Content gaps (keywords competitors rank for that you don't)
Output as prioritized table: | Keyword | Volume | Difficulty | Buyer Stage | Content Type | Priority |
2. Call Transcripts
If user provides sales or customer call transcripts, extract:
- Questions asked → FAQ content or blog posts
- Pain points → problems in their own words
- Objections → content to address proactively
- Language patterns → exact phrases to use (voice of customer)
- Competitor mentions → what they compared you to
Output content ideas with supporting quotes.
3. Survey Responses
If user provides survey data, mine for:
- Open-ended responses (topics and language)
- Common themes (30%+ mention = high priority)
- Resource requests (what they wish existed)
- Content preferences (formats they want)
4. Forum Research
Use web search to find content ideas:
Reddit: site:reddit.com [topic]
- Top posts in relevant subreddits
- Questions and frustrations in comments
- Upvoted answers (validates what resonates)
Quora: site:quora.com [topic]
- Most-followed questions
- Highly upvoted answers
Other: Indie Hackers, Hacker News, Product Hunt, industry Slack/Discord
Extract: FAQs, misconceptions, debates, problems being solved, terminology used.
5. Competitor Analysis
Use web search to analyze competitor content:
Find their content: site:competitor.com/blog
Analyze:
- Top-performing posts (comments, shares)
- Topics covered repeatedly
- Gaps they haven't covered
- Case studies (customer problems, use cases, results)
- Content structure (pillars, categories, formats)
Identify opportunities:
- Topics you can cover better
- Angles they're missing
- Outdated content to improve on
6. Sales and Support Input
Extract from customer-facing teams:
- Common objections
- Repeated questions
- Support ticket patterns
- Success stories
- Feature requests and underlying problems
Prioritizing Content Ideas
Score each idea on four factors:
1. Customer Impact (40%)
- How frequently did this topic come up in research?
- What percentage of customers face this challenge?
- How emotionally charged was this pain point?
- What's the potential LTV of customers wit
Truncated for display — read the full file on GitHub.
Related Skills
siyuan
46.5kAn open-source, privacy-first, self-hosted knowledge workspace where humans and AI agents work together 开源、隐私优先、自托管的知识工作空间,让人与智能体在此协作
algorithmic-art
177.9kCreating algorithmic art using p5.js with seeded randomness and interactive parameter exploration. Use this when users request creating art using code, generative art, algorithmic art, flow fields, or particle systems.
pptx
177.9kUse this skill any time a .pptx or .potx file is involved in any way — as input, output, or both. This includes: creating slide decks, pitch decks, or presentations; reading, parsing, or extracting text from any .pptx or .potx file (even if the extracted content will be used elsewhere, like in an em…
design
130.2kComprehensive design skill: brand identity, design tokens, UI styling, logo generation (55 styles, Gemini, Atlas Cloud, or MuAPI AI), corporate identity program (50 deliverables, CIP mockups), HTML presentations (Chart.js), banner design (22 styles, social/ads/web/print), icon design (15 styles, SVG…
Languages
Trust signals
From repository metadata: license, adoption, age and documentation. Not a code audit — see the Safety scan above for what the skill file itself contains.
