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/seo-keyword-research

SEO keyword research workflow for blog generation using Google Trends data. Use when writing blog posts, planning content calendars, or optimizing articles for search engines. Finds breakout keywords, builds content structure, and generates SEO-optimized blog outlines targeting

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opendirectory-gtm-skills
58364 skills
Install
$ npx -y skills add Varnan-Tech/opendirectory --skill seo-keyword-research --agent claude-code

How it fires

How this skill gets triggered: by you, by Claude, or both.

  • Fires itselfAuto-invocation. Claude auto-loads it when your prompt matches the work.Auto-invocation is when the right skill fires by itself at the right moment, driven by a FLOW.md router and a hook, instead of you invoking it by name. It is the difference between a skill being installed and a skill actually getting used.Read the full definition →
  • You can call itInvoke it directly when you want it.
  • Slash command/seo-keyword-research

Context preview

The summary Claude sees to decide when to auto-load this skill.

SEO keyword research workflow for blog generation using Google Trends data. Use when writing blog posts, planning content calendars, or optimizing articles for search engines. Finds breakout keywords, builds content structure, and generates SEO-optimized blog outlines targeting

SKILL.md

seo-keyword-research.SKILL.md
name: seo-keyword-research
description: SEO keyword research workflow for blog generation using Google Trends data. Use when writing blog posts, planning content calendars, or optimizing articles for search engines. Finds breakout keywords, builds content structure, and generates SEO-optimized blog outlines targeting tech and developer audiences.
license: MIT
compatibility: Requires the google-trends-api skill (or direct SerpApi access with SERPAPI_KEY). Designed for Claude Code and similar AI coding agents.
metadata:
  author: farizanjum
  version: "2.0"
  domain: tech-developer-blogs
allowed-tools: Bash(python:*) Bash(curl:*) Read

SEO Keyword Research Skill

Find trending, high-opportunity keywords BEFORE writing blog content. This skill turns generic blog topics into SEO-optimized content that ranks.

When to Use

  • User asks to write a blog post or article
  • User wants keyword research for a topic
  • User needs a content calendar or content plan
  • User wants to optimize existing content for SEO
  • Any blog generation task for a tech/developer-focused audience

Core Principle

**Always research keywords BEFORE generating blog content.**

BAD:  Write blog -> Hope it ranks -> Usually doesn't
GOOD: Research keywords -> Find breakout opportunity -> Write optimized blog -> Ranks well

Keyword Priority System

When analyzing Google Trends RELATED_QUERIES results, prioritize keywords in this order:

1. Breakout Keywords — HIGHEST priority

  • `formatted_value: "Breakout"` = 5000%+ growth
  • Very low competition (trend is new)
  • Use as PRIMARY blog keyword
  • Create content IMMEDIATELY (first-mover advantage)

2. High-Growth Keywords — VERY HIGH priority

  • `formatted_value: "+100%"` or higher
  • Low to moderate competition
  • Use as primary or strong secondary keyword
  • Create content within 2-4 weeks

3. Moderate-Growth Keywords — HIGH priority

  • `formatted_value: "+50%"` to `"+99%"`
  • Moderate competition
  • Use as secondary keywords in body content

4. Long-Tail Keywords — STRATEGIC priority

  • Question-based queries (how, what, why, when, where)
  • Low competition, high conversion
  • Use as H3 headings — target featured snippets and voice search

5. Established Keywords — MODERATE priority

  • Top queries with stable interest, high competition
  • Use in body content, not as primary target

SEO Research Workflow

Step 1: Keyword Discovery (1 API call — REQUIRED)

Query `RELATED_QUERIES` with the user's blog topic:

curl -s "https://serpapi.com/search?engine=google_trends&q=USER_TOPIC&data_type=RELATED_QUERIES&date=today+3-m&api_key=$SERPAPI_KEY"

From the response, extract:

  • **Breakout keywords** → candidate primary keywords
  • **High-growth keywords** (+100%) → secondary candidates
  • **Question-based queries** → H3 headings and featured snippet targets

Select the primary keyword: 1. First breakout keyword (if any) 2. Else first high-growth keyword 3. Else top query by score

Step 2: Content Structure (1 API call — REQUIRED)

Query `RELATED_TOPICS` with the same topic:

curl -s "https://serpapi.com/search?engine=google_trends&q=USER_TOPIC&data_type=RELATED_TOPICS&date=today+3-m&api_key=$SERPAPI_KEY"

Extract topic titles from rising + top results. These become your H2 section headings (pick 3-5).

Step 3: Trend Validation (1 API call — OPTIONAL)

Only if choosing between multiple candidate keywords or validating viability:

curl -s "https://serpapi.com/search?engine=google_trends&q=KEYWORD&data_type=TIMESERIES&date=today+12-m&api_key=$SERPAPI_KEY"

Compare recent 2-month average vs. earlier 2-month average. If recent > earlier, trend is rising — proceed. If declining, consider a different keyword.

Step 4: Generate Blog Outline

Build the outline using this structure:

Title: [Primary Keyword] — [Benefit/Number] [Year]
  (max 60 characters, must include primary keyword)

Meta Description: (150-160 chars, primary + 1-2 secondary keywords)

# [H1 — same as or variation of title]

## Introduction (150 words)
  - Primary keyword in first 100 words
  - Hook with a problem or question
  - Preview what they'll learn

## [H2: Related Topic 1 from Step 2]
### [H3: Long-tail question from Step 1]
  Content answering the question (150-200 words)
### [H3: Another long-tail question]
  Content (150-200 words)

## [H2: Related Topic 2]
### [H3: Long-tail question]
### [H3: Long-tail question]

## [H2: Related Topic 3]
### [H3: Long-tail question]
### [H3: Long-tail question]

## Conclusion (100 words)
  - Summarize key points
  - Primary keyword mentioned once
  - Call-to-action

Target: 1500-2500 words total

Keyword Placement Rules

| Location | Rule | |----------|------| | Title | Include primary keyword, max 60 chars | | H1 | Same as title or slight variation | | H2 headings (3-5) | Use related topics, natural language | | H3 headings (8-12) | Use long-tail keywords, question format | | First paragraph | Primary keyword in first 100 words | | Body content | Primary keyword 1-2% density, secondary 0.5-1% | | Conclusion | Primary keyword once | | Meta description | Primary + 1-2 secondary, 150-160 chars |

**Never keyword-stuff.** Content must read naturally. Google penalizes unnatural repetition.

Quality Checklist

Before generating the blog, verify:

  • [ ] Found at least 1 breakout or +100% keyword (or justified using established keyword)
  • [ ] Have 3-5 H2 topics from RELATED_TOPICS
  • [ ] Have long-tail keywords for H3 headings
  • [ ] Primary keyword is specific enough to rank for
  • [ ] Blog structure follows the outline template above
  • [ ] Meta description is written (150-160 chars)
  • [ ] Target length is 1500-2500 words

If no breakout or high-growth keywords exist for the topic, inform the user that SEO opportunity is limited and suggest alternative angles or related topics that do have growth.

Budget Awareness

**Free tier: 250 searches/month**

| Strategy | Calls/Blog | Monthly Capacity |

Read more
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