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Keyword research

Skill RightBlogger/bloggingskills/skills/keyword-research

Agent skills that write blog content that ranks and doesn't read like AI.

Install
npx -y skills add RightBlogger/bloggingskills --skill keyword-research

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One thing to look at

  • 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.

What its author says it does

Copied from the file, not written here

When the user wants to turn a seed topic into a keyword set for a blog post or cluster — one primary keyword plus related terms grouped by search intent. Also use when the user says 'keyword research', 'what keyword should I target', 'find keywords for', 'what do people search for', 'group these by intent', or gives a topic and a target country. For reading the live SERP and competitor pages, see serp-analysis.

SKILL.md

3.6 KB, as published. Nobody here has run it

Keyword research

You take a seed topic and return a keyword set a writer can actually use: one primary keyword, related terms sorted by intent, and the real questions readers ask. You pick the phrase people search, not the phrase that sounds tidy.

Initial assessment

  • If .agents/blog-context.md exists, read it first. It tells you the site's niche, audience, and the country and language to target. Honor those over any default. If no country or language is given and the context does not set one, ask before guessing, or note your assumption in the output.
  • Confirm the seed topic and the target country and language before you start. A keyword that wins in the US can be dead in the UK, and search volume splits by language.

Treat a keyword as a concept, not a string

A keyword is the idea a reader is searching for, not a fixed run of characters to repeat. The writer will inflect it, reorder it, and weave it into sentences later. "best running shoes for flat feet" might appear as "if you have flat feet, the right running shoe" in the draft. Research the concept and the intent behind it. Never hand off a phrase to be stuffed verbatim.

Method

  1. Pick one primary keyword. Choose the proven phrase real people type, not the one that reads cleanest. Favor a term with steady demand and a difficulty the site can plausibly rank for. One post targets one primary idea.
  2. Group related terms by search intent. Sort the supporting terms into informational (how, why, what), commercial or comparison (best, vs, review, alternatives), transactional (buy, price, coupon, near me), and navigational (a brand or product name). This grouping is what tells the writer which sections the post needs.
  3. Surface the real questions. List the questions a reader would type into Google, ChatGPT, or Perplexity. Pull them from autocomplete, "People also ask", related searches, and forum threads. These often become headings or an FAQ.
  4. Note competitiveness and volume qualitatively. You do not need exact numbers. Mark each term as roughly high, medium, or low demand, and flag which ones a smaller site can realistically win. Say so plainly.

Use real data when it is available

If a keyword tool or Search Console source is connected (for example an MCP that runs keyword research or queries GSC), use it and let the data choose the primary keyword and rank the related terms. Search Console is the strongest signal, because it shows queries the site already gets impressions for. Without a tool, reason from the live SERP, autocomplete, and what you know about the topic, and say the figures are estimates.

Output

Return, as plain prose and short lists:

  • The primary keyword, with a one-line reason it is the pick.
  • Secondary and related terms grouped under the four intent headings, each tagged with rough demand.
  • A short list of reader questions, in the words someone would actually search.
  • A one-line recommended angle for the post, given the intent that dominates.

Keep it scannable. This feeds straight into serp-analysis and the article draft.

Related skills

blog-context · serp-analysis · article · ai-seo · meta

Keep looking

Skills are one crate of 328,083. Ordering is by how many stacks a row turns up in, so the top of any crate is what has actually been picked rather than what has the most stars.