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Content Strategy

Community
shawnpang
content-strategy

When the user needs to plan, prioritize, or structure a content program -- including identifying content pillars, mapping content to the buyer journey, choosing content types, or building an editorial calendar.

Overview

Publishershawnpang
Repositorystartup-founder-skills
Skill namecontent-strategy
Stars
368
Forks
43
Bundled files
Instructions only
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by shawnpang on GitHub. Read the source before you install it.

Installation

Install the Content Strategy AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/shawnpang/startup-founder-skills/tree/main/skills/content-strategy
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/shawnpang/startup-founder-skills.git /tmp/startup-founder-skills
mkdir -p .claude/skills
cp -r /tmp/startup-founder-skills/skills/content-strategy .claude/skills/content-strategy
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Content Strategy in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Content Strategy on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Content Strategy is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Content Strategy

When to Use

  • Building a content program from scratch for a startup.
  • Deciding what content types to invest in first.
  • Identifying content pillars and topic clusters.
  • Planning an editorial calendar for the next 30/60/90 days.
  • Evaluating whether existing content is working and what gaps exist.
  • Choosing between searchable (SEO) and shareable (social) content investments.

Context Required

  • From startup-context: product description, ICP, value proposition, competitive positioning, stage, existing traction, team capacity.
  • From the user: current content assets (if any), distribution channels in use, business goals for content (traffic, leads, brand awareness, thought leadership), team capacity (who writes, how often), target topics or keywords of interest, customer research available (sales calls, surveys, support tickets).

Workflow

  1. Gather context before planning -- Assess four dimensions: (a) business context -- what the company does, who it serves, what problems it solves; (b) customer research -- pre-purchase questions, sales objections, support patterns, customer vocabulary; (c) current state -- existing content performance, available resources, production capabilities; (d) competitive landscape -- what competitors publish, market content gaps.
  2. Classify the content need -- Is the goal searchable content (SEO-driven, captures existing demand) or shareable content (social-native, creates demand)? Most startups need both but should weight based on stage:
    • Pre-PMF: lean toward shareable (faster feedback, builds audience)
    • Post-PMF: lean toward searchable (compounds over time, captures demand)
  3. Identify 3-5 content pillars -- Each pillar is a core topic your brand owns, spawning related content clusters. Use four identification methods:
    • Product-led: Problems your product solves
    • Audience-led: What your ICP needs to learn
    • Search-led: Topic volume in your space
    • Competitor-led: What competitors rank for (and gaps they miss)
    • Pillar criteria: aligns with product, matches audience interests, has search volume or social interest, broad enough for multiple subtopics.
  4. Map content types to pillars -- Select from proven content formats:
    • Use-case content: "[Persona] + [use-case]" targeting long-tail keywords -- bottom of funnel, high intent
    • Hub-and-spoke: Comprehensive pillar page with linked subtopic articles -- SEO authority play
    • Templates and tools: Downloadable resources that solve a micro-problem -- lead generation
    • Thought leadership: Contrarian takes, original data, founder stories -- brand and trust
    • Case studies: Customer transformation stories (Challenge, Solution, Results, Learnings) -- proof
    • Comparison pages: "[Product] vs [Competitor]" -- captures switching intent
    • Data-driven content: Product data analysis (anonymized), public data analysis, original research
    • Expert roundups: 15-30 experts answering one specific question -- built-in distribution
  5. Score and prioritize -- Rate each content idea on four weighted dimensions:
    • Customer impact (40%): Frequency in research, percentage of customers affected, emotional charge
    • Content-market fit (30%): Problem-solution alignment, unique insights available, natural path to product
    • Search potential (20%): Monthly volume, competition level, long-tail opportunities, growth trajectory
    • Resource requirements (10%): Internal expertise, research needs, required assets
  6. Map to buyer journey -- Ensure coverage across awareness stages using keyword modifiers:
    • Awareness: "what is," "how to," "guide to" -- thought leadership, educational content
    • Consideration: "best," "top," "vs," "alternatives" -- comparison pages, how-to guides
    • Decision: "pricing," "reviews," "demo," "trial" -- case studies, use-case content
    • Implementation: "templates," "examples," "tutorial," "setup" -- onboarding content, feature deep-dives
  7. Build the editorial calendar -- Assign content to a realistic publishing cadence. For early-stage: 1-2 high-quality pieces per week beats daily low-effort posts.
  8. Define distribution plan -- Every piece needs a distribution path. Budget 50% of effort for distribution. A great article with no distribution plan underperforms a good article with a strong distribution plan.

Output Format

  • Content pillars (3-5) with rationale and subtopic clusters per pillar
  • Prioritized content backlog with scores and buyer stage mapping
  • Topic cluster map showing content interconnections
  • If building a calendar: 30/60/90 day editorial calendar with titles, content types, target keywords, funnel stage, and distribution channels

Frameworks & Best Practices

  • Searchable vs. Shareable. Searchable content (SEO articles) compounds over time but is slow to start. Shareable content (social posts, hot takes) gets immediate distribution but decays fast. Blend both. The 80/20 split: 80% serves existing demand, 20% creates demand.
  • Content-market fit before scale. Test topics in lightweight formats (social posts, community discussions) before investing in long-form. Just like product-market fit, content needs to resonate with a specific audience.
  • Topic authority over breadth. Better to own 3 topics completely than write one article about 30 topics. Search engines and audiences reward depth.
  • Searchable content guidelines. Target specific keywords matching search intent. Use titles that mirror search queries. Place keywords in title, headings, first paragraph, URL. Optimize for AI/LLM discovery with clear positioning and structured content.
  • Shareable content guidelines. Lead with novel insights, original data, or counterintuitive angles. Challenge conventional wisdom with evidence. Create content people share to look smart or help others. Connect to trends or emerging problems.
  • Repurposing is a strategy. Every long-form piece should be planned with repurposing in mind -- blog post becomes Twitter thread becomes newsletter section becomes LinkedIn carousel.
  • Mine your existing data for content ideas. Sources: keyword data exports, sales call transcripts, survey responses, forum research (Reddit, Quora, Hacker News), competitor content analysis (site:competitor.com/blog), and input from sales/support teams.
  • Measure what matters. Searchable: organic traffic and keyword rankings. Shareable: engagement and referral traffic. Conversion content: leads and pipeline influence.

Related Skills

  • seo-technical -- when content pillars need keyword research and on-page optimization to rank
  • social-content -- when content needs to be adapted and distributed across social platforms
  • email-marketing -- when content is distributed through newsletters or used in nurture sequences

Examples

Example 1: New content program

"We're a seed-stage B2B SaaS for engineering teams. No content yet. Where do we start?"

Good output: Identifies 3-4 content pillars using the four identification methods. Recommends starting with 2 comparison pages (capture existing demand), 3 use-case articles (bottom-funnel), and 1 thought leadership piece per month. Includes a scored backlog of 15 content ideas with priorities and a 90-day calendar. Distribution plan emphasizes LinkedIn, Hacker News, and relevant communities.

Example 2: Content audit

"We have 40 blog posts but they barely get traffic. What should we do?"

Good output: Asks for top-performing vs. underperforming posts, identifies content gaps using the buyer journey map, recommends which posts to update/consolidate/kill, proposes hub-and-spoke restructuring around 3 pillar topics, and provides a 60-day optimization calendar alternating between updating old content and publishing new gap-filling pieces.

Frequently asked questions

What does the Content Strategy AI skill do?

When the user needs to plan, prioritize, or structure a content program -- including identifying content pillars, mapping content to the buyer journey, choosing content types, or building an editorial calendar.

Why use Content Strategy on TypingMind?

Because you install it once and use it with any model. Content Strategy is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Content Strategy in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/shawnpang/startup-founder-skills/tree/main/skills/content-strategy. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Content Strategy?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Content Strategy?

As many as you like. As long as a model supports skills, you can use Content Strategy with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Content Strategy AI skill free?

Yes. It is published on GitHub by shawnpang under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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