Claude-github github-dataforseo

install

source · Clone the upstream repo

git clone https://github.com/avalonreset/claude-github

Claude Code · Install into ~/.claude/skills/

T=$(mktemp -d) && git clone --depth=1 https://github.com/avalonreset/claude-github "$T" && mkdir -p ~/.claude/skills && cp -r "$T/extensions/dataforseo/skills/github-dataforseo" ~/.claude/skills/avalonreset-claude-github-github-dataforseo && rm -rf "$T"

manifest: extensions/dataforseo/skills/github-dataforseo/SKILL.md

source content

GitHub DataForSEO -- Live Search & AI Visibility Data (Extension)

Live search data via the DataForSEO MCP server. Provides real keyword volume, SERP analysis, and AI visibility tracking for GitHub optimization decisions.

Important: DataForSEO measures Google web search volume and AI mentions -- NOT GitHub's internal search or Explore algorithm. Use this data to optimize how your repo ranks in Google results and whether AI systems cite it.

Prerequisites

This skill requires the DataForSEO extension:

./extensions/dataforseo/install.sh

Quick Reference

Command	What it does
`/github dataforseo keywords <seed>`	Keyword ideas from seed terms
`/github dataforseo volume <keywords>`	Google search volume for terms
`/github dataforseo serp <query>`	What ranks for this query?
`/github dataforseo ai-scrape <query>`	Is the project mentioned by ChatGPT?
`/github dataforseo ai-mentions <keyword>`	LLM mention tracking across platforms
`/github dataforseo competitors <domain>`	What competing projects rank for
`/github dataforseo trends <keyword>`	Interest trend over time

Commands

keywords

Generate keyword ideas from seed terms related to the project.

MCP tools:

dataforseo_labs_google_keyword_suggestions

dataforseo_labs_google_related_keywords

Use for: Discovering keyword opportunities for repo description, topics, and README content.

Example:

/github dataforseo keywords "react state management"

volume

Get actual Google search volume for specific terms.

MCP tools:

kw_data_google_ads_search_volume

Use for: Validating which keywords are worth targeting. Higher volume = more potential traffic.

Example:

/github dataforseo volume "zustand,jotai,recoil,redux toolkit"

serp

Analyze what currently ranks for a query. Check if GitHub repos appear in results.

MCP tools:

serp_organic_live_advanced

Default parameters: location_code=2840 (US), language_code=en

Use for: Understanding if GitHub repos can rank for target queries, and what the competition looks like.

Example:

/github dataforseo serp "best react state management library"

ai-scrape

Check if ChatGPT mentions your project when asked about your domain.

MCP tools:

ai_optimization_chat_gpt_scraper

Use for: Monitoring AI visibility. If ChatGPT recommends your project, that drives adoption.

Example:

/github dataforseo ai-scrape "what are the best react state management libraries"

ai-mentions

Track LLM mentions across multiple AI platforms.

MCP tools:

ai_opt_llm_ment_search

Use for: Cross-platform AI visibility monitoring (ChatGPT, Perplexity, Claude, etc.)

Example:

/github dataforseo ai-mentions "zustand"

competitors

Analyze what keywords competing projects rank for in Google.

MCP tools:

dataforseo_labs_google_ranked_keywords

Use for: Finding keyword opportunities by analyzing what competing repos rank for.

Example:

/github dataforseo competitors "github.com/pmndrs/zustand"

trends

Check if interest in a technology or keyword is growing or declining.

MCP tools:

kw_data_google_trends_explore

Use for: Validating that the project's niche is growing, not shrinking.

Example:

/github dataforseo trends "zustand"

Cross-Skill Integration

This extension enhances other skills when available:

Skill	How DataForSEO Helps
github-seo	Real keyword volume instead of guessing, SERP validation
github-meta	Data-backed topic selection, validated descriptions
github-readme	Keyword volume data for heading optimization
github-empire	Niche keyword landscape, competitor analysis
github-audit	SEO score can reference real ranking data

Cost Awareness

DataForSEO charges per API call. Be efficient:

Batch keyword volume checks (multiple keywords per call)
Don't repeat SERP checks for the same query in one session
Warn user before expensive operations (bulk competitor analysis)