Agent Skills › alinaqi/maggy › dataforseo

dataforseo

GitHub

通过DataForSEO API获取关键词搜索量、竞争度及CPC数据,辅助品牌命名与SEO策略决策。

skills/dataforseo/SKILL.md alinaqi/maggy

Trigger Scenarios

进行品牌或产品名称命名调研 评估关键词的搜索需求与商业价值 制定SEO内容策略

Install

npx skills add alinaqi/maggy --skill dataforseo -g -y
More Options

Use without installing

npx skills use alinaqi/maggy@dataforseo

指定 Agent (Claude Code)

npx skills add alinaqi/maggy --skill dataforseo -a claude-code -g -y

安装 repo 全部 skill

npx skills add alinaqi/maggy --all -g -y

预览 repo 内 skill

npx skills add alinaqi/maggy --list

SKILL.md

Frontmatter
{
    "name": "dataforseo",
    "effort": "low",
    "description": "Keyword & SERP research via the DataForSEO API — search volume, competition, CPC, keyword ideas for naming\/SEO decisions",
    "when-to-use": "When choosing a product\/repo\/domain name, sizing a keyword, checking search demand, or doing competitor\/SEO research and WebSearch is not enough",
    "user-invocable": true
}

DataForSEO Skill — keyword & SERP research

Purpose: Get real search demand (monthly volume, competition, CPC) and keyword ideas from Google Ads data via DataForSEO, so naming and content decisions are grounded in data rather than intuition.

Auth (never commit the key)

DataForSEO uses HTTP Basic auth. Provide credentials via environment only:

export DATAFORSEO_LOGIN="you@example.com"
export DATAFORSEO_PASSWORD="…"
# or a single combined value:
export DATAFORSEO_API_KEY="login:password"   # or its base64

The helper reads these from the env — it never hardcodes or logs the secret, and only ever calls api.dataforseo.com. Keep the key in a local .env that is git-ignored; do not paste it into the repo, a URL, or chat.

Usage

The helper is dataforseo.py in this skill folder:

DFS="$(cat ~/.claude/.bootstrap-dir)/skills/dataforseo/dataforseo.py"

python3 "$DFS" whoami                                  # auth check + balance
python3 "$DFS" volume "claude code" "coding agent"     # search volume table
python3 "$DFS" ideas  "coding agent"                   # related keyword ideas
# options: --location <code, default 2840=US>  --language <code, default en>

volume → each keyword's monthly search volume, competition (LOW/MEDIUM/HIGH), and CPC. ideas → the searched long-tail around a seed.

Reading the results (naming decisions)

  • Zero / n/a volume on every candidate is itself the answer: the names aren't search terms, so SEO can't rank them against each other — decide on clarity/brand and accept that discovery happens on GitHub/HN/X, not search.
  • Category term vs. brand term: a huge-volume category word (e.g. the tool's ecosystem name) is where demand lives; a brand name rides it only if it contains it. Weigh discoverability against being on-brand for what you built.
  • Wrong-intent volume is a trap: a candidate with existing volume may be drawing an audience searching for something else (a different industry meaning). That volume hurts, it doesn't help.
  • Competition + CPC proxy commercial intent, not just popularity — high CPC means advertisers pay for that term (buyers), low CPC often means informational or noise.

Cost & etiquette

live endpoints bill per call (search volume / ideas ≈ $0.05–0.10 each). Batch many keywords into ONE volume call (it accepts up to 1000) rather than looping. Check whoami for balance before large runs.

Common endpoints (beyond the helper)

Need Endpoint
Search volume keywords_data/google_ads/search_volume/live
Keyword ideas keywords_data/google_ads/keywords_for_keywords/live
SERP (who ranks) serp/google/organic/live/advanced
Ranked keywords for a domain dataforseo_labs/google/ranked_keywords/live
Competitor domains dataforseo_labs/google/competitors_domain/live

All take the same Basic-auth header; POST a JSON array of task objects.

Version History

  • 8723129 Current 2026-09-22 14:37

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