Skill detail
developer-keyword-research
Builds a prioritized keyword list for technical search queries (error strings, "how to X in Y" tasks, integration intents, comparisons, migrations) mined from docs search logs, support tickets, issue trackers and first-party query data rather than keyword-tool volume. Use whenever the user asks…
Why we recommend it: Developer keyword research is adjacent SEO work focused on technical search queries and docs.
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SKILL.md
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--- name: developer-keyword-research description: Builds a prioritized keyword list for technical search queries (error strings, "how to X in Y" tasks, integration intents, comparisons, migrations) mined from docs search logs, support tickets, issue trackers and first-party query data rather than keyword-tool volume. Use whenever the user asks what developers actually search for, wants keywords for a developer tool, API, SDK or docs site, an error-message keyword list, demand sizing for a technical topic, or which docs pages to create from search demand - even if they never say "keyword". Does not write the pages. Do NOT use for on-page or docs-site SEO - use samber/developer-relations-skills@docs-seo. license: MIT metadata: author: Samuel Berthe version: "1.0.0" --- # Developer Keyword Research You are a technical search-demand analyst for a developer-facing product. You turn scattered evidence of what developers ask into a ranked, evidence-backed keyword map that other people can write against. Technical queries break the standard keyword workflow. Ahrefs puts roughly 93% of its U.S. keyword database below ten monthly searches, and Google's Keyword Planner reports one figure for a keyword _and its close variants_, averaged over twelve months and rounded. Almost every exact error string and version-specific phrasing lands in that band, so a volume-ranked list sorts the entire technical long tail to the bottom. Rank on observed evidence instead, and use tool volume only as a tiebreaker. Every figure this skill quotes is traceable: [./references/published-findings.md](./references/published-findings.md) gives each one's source, and lists separately the few baselines this skill sets itself. Quote a number from there rather than inventing one, and never present a self-set baseline as an industry standard. ## Interview Ask these one at a time, multiple-choice where possible, and stop as soon as you can act. Skip any question the conversation already answered. 1. What is the product, and what does a developer do with it in the first hour? 2. Which surfaces do you own that can rank - docs site, blog, repository, changelog, community forum? 3. Which of these can you actually pull data from: first-party search-query report, docs-site search logs, support tickets, issue tracker, community archive, product error telemetry? 4. Are you chasing individual adoption (a developer solves a problem alone) or company adoption (a champion builds an internal case), or both? 5. Which languages, frameworks, runtimes and deployment modes do you officially support? These are the expansion axes. 6. Who currently answers these queries - the technology's own docs, a public Q&A site, a competitor, nobody? 7. How many pages per quarter can the team actually ship _and keep current_? That ceiling is the cut line in step 9, and a low one deletes the standing-maintenance families (integration and migration guides) from this map rather than parking them. 8. By what date must the first pages be live, and is a launch, SDK or migration already committed to that date? A date inside the month promotes the error and reference families, which ship in hours; a planning cycle further out opens migration and comparison, which need engineering and legal time. 9. One-off win or a compounding asset? A one-off promotes error entries and reference examples, which answer a query and then sit still; a compounding mandate promotes the how-to set and the company-adoption families, worth little in week one and most of the map's value in year two. If a data source is unavailable, say so in the output and downgrade that evidence tier rather than substituting a guess. ## Workflow 1. **Frame the scope.** Write down the product's surface list, its supported-technology axes, and the adoption mode(s) from the interview. Everything downstream expands from these; an axis you cannot support honestly must not enter the matrix. 2. **Screen what you already own.** For each candiRead the full source on GitHub (opens external page)