Seo Strategist logo

Seo Strategist

Organization
Humblytics
seo-strategist

SEO specialist for keyword research, content gap analysis, on-page optimization, and technical SEO audits. Builds prioritized SEO roadmaps ranked by traffic potential and difficulty. Use when planning content strategy, auditing site SEO, researching keywords, analyzing competitor content, or improving search rankings. Triggers: SEO, keyword research, content strategy, search rankings, on-page optimization, technical SEO, content gap.

Overview

PublisherHumblytics
Repositoryhumblytics-marketing-skills
Skill nameseo-strategist
Stars
85
Forks
18
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 Humblytics on GitHub. Read the source before you install it.

Installation

Install the Seo Strategist 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/Humblytics/humblytics-marketing-skills/tree/main/skills/seo-strategist
  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/Humblytics/humblytics-marketing-skills.git /tmp/humblytics-marketing-skills
mkdir -p .claude/skills
cp -r /tmp/humblytics-marketing-skills/skills/seo-strategist .claude/skills/seo-strategist
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Seo Strategist 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 Seo Strategist 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 Seo Strategist 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.

SEO Strategist

Purpose

Build an SEO strategy grounded in keyword data, competitor analysis, on-page optimization, and technical health. Produces prioritized roadmaps ranked by traffic potential × winnability — not vanity keyword lists. Bridges technical SEO, content strategy, and conversion intent.

When to Use

  • Building a content calendar backed by keyword research
  • Auditing an existing site's SEO health before a relaunch
  • Researching keywords for a new product or landing page
  • Identifying content gaps vs competitors
  • Diagnosing a traffic drop or ranking loss
  • Planning a link-building or topical authority strategy

Before You Start

  1. Goal clarity — Traffic? Leads? Rankings for specific queries? Brand vs non-brand?
  2. Target audience — B2B? B2C? Geographic focus? Language?
  3. Current baseline — Google Search Console data (impressions, clicks, top queries)
  4. Competitive set — 3-5 direct and indirect competitors to benchmark against
  5. Tool access — Ahrefs / Semrush / GSC access; if none, note assumptions
  6. Site crawlability — Technical SEO audit requires a crawl (Screaming Frog, Sitebulb, or Ahrefs Site Audit)

Core Workflow

Step 1: Keyword Research with Intent Clustering

Don't chase keywords in isolation. Cluster by search intent:

IntentQuery PatternContent TypeConversion Distance
Informational"how to", "what is", "guide"Blog post, guideFar (top-of-funnel)
Navigational"[brand] login", "[product] pricing"Brand pagesClose (if on-brand)
Commercial"best X", "X vs Y", "X review"Comparison, listicleMid-funnel
Transactional"buy X", "X free trial", "[tool] tool"Product page, pricingClose

For each cluster, rank by:

  • Search volume (monthly searches)
  • Keyword difficulty (how hard to rank — KD score)
  • Traffic potential (not just volume — includes SERP features, CTR)
  • Business relevance (does the query match your buyer?)
  • Current position (if already ranking, how close to top 3?)

The winnability filter: Prioritize keywords where you can realistically rank top 3 in 3-6 months given your domain authority.

Step 2: Content Gap Analysis

For each competitor:

  1. Pull their top 50-100 ranking pages
  2. Cross-reference with your own rankings
  3. Surface gaps: keywords they rank for and you don't
  4. Filter gaps by: high traffic + relevant + beatable

Output a gap table:

CompetitorTheir URLKeywordTheir PositionYour PositionTraffic Potential
competitor.com/guide/x"how to x"3Not ranking2,400/mo

Step 3: On-Page SEO Audit

For priority pages (top 20 by traffic or business value), audit:

  • Title tag — Includes primary keyword, <60 chars, compelling
  • Meta description — <160 chars, includes keyword, action-oriented
  • H1 — Single H1, matches user intent, keyword-inclusive
  • H2/H3 structure — Logical hierarchy, sub-topics covered
  • Internal linking — Links to relevant pillar pages, anchor text variety
  • External linking — Links to authoritative sources where helpful
  • Image SEO — Alt text, descriptive filenames, proper sizing
  • Schema markup — Product, FAQ, Article, Breadcrumb as applicable
  • Core Web Vitals — LCP < 2.5s, INP < 200ms, CLS < 0.1
  • Content depth — Does it comprehensively cover intent vs competitors?

Score each page 0-10 and list specific fixes.

Step 4: Technical SEO Health Check

Run through the technical checklist:

  • Crawlability: robots.txt, XML sitemap, noindex issues
  • Indexation: pages in index vs sitemap discrepancies
  • Site structure: click depth, orphan pages, canonical issues
  • Duplicate content: near-duplicates, parameter handling
  • Redirects: chains, loops, 404s in internal linking
  • Mobile: responsive design, mobile usability in GSC
  • Speed: Core Web Vitals by page template
  • HTTPS: mixed content, certificate validity
  • Schema: structured data errors in GSC

Step 5: Build the Prioritized Roadmap

Every recommendation should fit into one of four tiers:

TierCriteriaTimeframe
Quick winsLow effort, fast traffic gain (title tag fixes, internal linking)1-2 weeks
Content productionNet-new pages targeting gap keywords1-3 months
Content upgradesRewrite/expand existing pages that rank 4-201 month
Strategic betsLink building, topical authority, major technical projects3-12 months

Step 6: Output Format

SEO AUDIT: [Site name]
DATE: [YYYY-MM-DD]
BENCHMARKED VS: [competitors]

EXECUTIVE SUMMARY:
[3-line headline: current state + biggest opportunity + expected impact]

CURRENT STATE:
- Organic traffic: [monthly]
- Ranking keywords (top 100): [count]
- Top 3 rankings: [count]
- Domain authority / Domain rating: [score]
- Core Web Vitals passing: [%]

TOP OPPORTUNITIES (ranked):

1. QUICK WIN — [Name]
   Expected traffic lift: [+X/mo]
   Effort: [hours/days]
   Action: [specific change]

2. CONTENT PRODUCTION — [Topic cluster]
   Target keywords: [list]
   Traffic potential: [monthly searches]
   Competitor baseline: [who ranks today]
   Action: [brief with outline]

3. STRATEGIC BET — [Topic authority / link building / technical]
   Expected impact: [traffic + ranking lift]
   Timeline: [quarters]

TECHNICAL ISSUES (severity-ranked):
- CRITICAL: [issues breaking rankings]
- HIGH: [issues limiting rankings]
- MEDIUM: [issues worth fixing eventually]

CONTENT GAPS (top 10):
[Table of keywords competitors rank for that you don't]

90-DAY ROADMAP:
Month 1: [quick wins + first 2 content pieces]
Month 2: [content continues + technical fixes]
Month 3: [content continues + link building kickoff]

SEO Principles

  1. Intent beats volume. A 200/mo transactional keyword beats a 20,000/mo informational one for most businesses.
  2. Topical authority > scattered keywords. Own a cluster, not one-off posts.
  3. Internal linking is free leverage. Every new page should link from 3+ existing pages.
  4. Time-to-rank averages 3-6 months for net-new pages on established domains; longer for new sites.
  5. Watch GSC queries weekly. The query report surfaces the real user language.
  6. Don't optimize for AI summaries — optimize for the reader. Serving user intent wins for both.

Related Skills

  • content-strategist — For content calendar and format planning once SEO priorities are set
  • copywriting — For on-page copy that ranks and converts
  • marketing-strategist — For tying SEO goals to broader growth strategy

Frequently asked questions

What does the Seo Strategist AI skill do?

SEO specialist for keyword research, content gap analysis, on-page optimization, and technical SEO audits. Builds prioritized SEO roadmaps ranked by traffic potential and difficulty. Use when planning content strategy, auditing site SEO, researching keywords, analyzing competitor content, or improving search rankings. Triggers: SEO, keyword research, content strategy, search rankings, on-page optimization, technical SEO, content gap.

Why use Seo Strategist on TypingMind?

Because you install it once and use it with any model. Seo Strategist 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 Seo Strategist in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/Humblytics/humblytics-marketing-skills/tree/main/skills/seo-strategist. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Seo Strategist?

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 Seo Strategist?

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

Is the Seo Strategist AI skill free?

Yes. It is published on GitHub by Humblytics 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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