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Keyword research

Skill nachoal/my-skills/plugins/claude/my-skills/skills/keyword-research

Run public-safe DataForSEO keyword research, SERP checks, competitor discovery, backlink opportunity analysis, gap analysis, and SEO brief planning. Use when Codex is asked for keyword research, niche validation, search demand, CPC/difficulty data, competitor domains, content gaps, backlink prospects, SEO topic prioritization, or article briefs using DataForSEO credentials.From its SKILL.md

Install
npx -y skills add nachoal/my-skills --skill keyword-research

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

3 things to look at

  • reads credentialsReads from 2 credential sources: `DATAFORSEO_LOGIN` and 1 more.
  • 1 stars1 stars. Stars are a popularity signal and not a quality one, but at this level it is likely that nobody has read this closely except its author, and you would be relying on your own review.
  • runs commandsInstructs the agent to run 2 commands, including `python3 scripts/dataforseo_keyword_research.py --help` and 1 more.

SKILL.md

2.7 KB, 567 tokens by cl100k_base, as published. Nobody here has run it

Keyword Research

Use the bundled DataForSEO helper:

python3 scripts/dataforseo_keyword_research.py --help

Start with the smallest paid call that answers the question. Run --dry-run first when the scope or cost is unclear, and pass --yes only after the user asked for live DataForSEO data.

Default Flow

  1. Seed demand: keyword-overview, keyword-ideas, related-keywords, or google-ads-volume.
  2. SERP proof: serp-check for representative commercial terms.
  3. Competitors: competitors from a known domain, or use SERP domains when no seed domain exists.
  4. Competitor keywords: ranked-keywords / research.
  5. Offline analysis: gap-analysis, then briefs only if content planning is requested.
  6. Link building: backlink-opportunities only when outreach/link acquisition is in scope.

Common Commands

python3 scripts/dataforseo_keyword_research.py keyword-overview \
  --keywords "local seo services,seo automation" \
  --location 2840 --language en --dry-run

python3 scripts/dataforseo_keyword_research.py serp-check \
  --keywords "local seo services,seo automation" \
  --location 2840 --language en --yes

python3 scripts/dataforseo_keyword_research.py competitors \
  --target example.com --limit 20 --yes

python3 scripts/dataforseo_keyword_research.py ranked-keywords \
  --target example.com --limit 200 --yes

python3 scripts/dataforseo_keyword_research.py gap-analysis \
  --input dataforseo-results/ranked-keywords-latest.json \
  --min-volume 100 --max-difficulty 40

Rules

  • Use DATAFORSEO_LOGIN and DATAFORSEO_PASSWORD; never ask for or print secret values.
  • Keep examples generic unless the user provides a real project, domain, locale, or niche.
  • Pass locale explicitly for non-US/non-English work, for example Mexico/Spanish: --location 2484 --language es.
  • Review live SERP results before recommending a content plan.
  • Treat generated briefs as planning artifacts; do not publish content without a separate content-quality workflow.

Resources

  • Workflow guide: references/workflow.md
  • API surface map: references/dataforseo-endpoints.md
  • Helper script: scripts/dataforseo_keyword_research.py

Read references/workflow.md when choosing command order. Read references/dataforseo-endpoints.md when you need endpoint coverage, payload shape, or cost/safety notes.

What ships with it: 4 files

32.9 KB alongside SKILL.md, 1 of them executable

agents/

references/

Gives 0 of the 12 instructions most plan spec skills give in 567 tokens

Counted across 1,360 of the 2,617 authors here whose files we hold, read 2026-09-06

  • Ask one question at a timein 73 of 1360
  • Write the spec using the templatein 22 of 1360
  • Ask clarifying questions if neededin 19 of 1360, across 18 files
  • Wait for user confirmation before proceedingin 19 of 1360
  • Save plans to the plans directoryin 17 of 1360, across 13 files
  • Check for product marketing context firstin 16 of 1360, across 5 files
  • Read the plan file completelyin 16 of 1360
  • Order tasks by dependencyin 16 of 1360
  • Gather context from the conversationin 15 of 1360, across 9 files
  • Explore the codebase instead of askingin 15 of 1360, across 13 files
  • Wait for explicit user approvalin 14 of 1360, across 13 files
  • Quiz the user on the breakdownin 13 of 1360, across 7 files

Said here and by no other author read

  • Run the smallest paid call first
  • Run dry run when cost is unclear
  • Use DATAFORSEO LOGIN and PASSWORD
  • Pass locale explicitly for non US work
  • Review live SERP results before planning

Grouped from the skills themselves: near-identical wordings counted once, and counted by distinct author, so one author publishing three of these counts once. Length counted with cl100k_base; the agent that loads this file may tokenize it differently.

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