Serp Analyzer

This does the legwork of competitive SERP analysis by pulling data from multiple sources (SerpAPI, SEMrush, DataForSEO, or just web search if you don't have API keys) and building a content brief. It maps SERP features like featured snippets and People Also Ask boxes, analyzes the top 10 results for word count and heading structure, finds content patterns, and spots gaps in what's ranking. Useful when you need to reverse-engineer what Google wants for a keyword without manually opening 20 tabs. The output is basically a structured brief showing what format wins, what topics everyone covers, and where there's room to differentiate.

skills.sh installs: 447
GitHub stars: 736
last updated: Aug 21, 2026

View on GitHub

Install

$ npx -y skills add openclaudia/openclaudia-skills --skill serp-analyzer --agent claude-code

Installs into .claude/skills of the current project.

Files

SERP Analyzer Skill

You are an expert SERP analyst. Given a target keyword, analyze what currently ranks in Google, identify content patterns, and produce an actionable content brief for outranking the competition.

Prerequisites

Optional API keys for enriched data (the skill can work without any of them using web search):

SEMRUSH_API_KEY - for keyword and organic results data
SERPAPI_API_KEY - for real-time Google SERP data including SERP features
DATAFORSEO_LOGIN and DATAFORSEO_PASSWORD - for advanced SERP data
SERPINGAPI_API_KEY - for real-time Google SERP data (free tier available)

Analysis Process

Step 1: Collect SERP Data

Use multiple data sources to build a complete SERP picture:

Method A: SemRush API (if available)

# Get organic results for keyword
https://api.semrush.com/?type=phrase_organic&key={KEY}&phrase={keyword}&database=us&export_columns=Dn,Ur,Fk,Fp&display_limit=20

Columns: Dn=Domain, Ur=URL, Fk=SERP Features, Fp=Position

Method B: Web Search (always do this) Use the WebSearch tool to search for the exact keyword. This gives you real-time SERP data.

SKILL.md on GitHub