naver-keywords
Skill3 starsChanged 35 days agoMITView on GitHub
Research Naver Blog keywords: diagnose the blog, expand seeds, measure and judge, pick one set per post. 네이버 키워드 조사, 검색량.
In this repository50 other files it gives its agents.
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- naver-draftsSkill
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The file
We split this skill into the rules it gives an agent
4 rules. About 0 are common, 0 are distinctive, and 4 are very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈0
Distinctive · estimate
This author's own choices. Worth a look.
4
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Very specific: line 14
Blog: Ask which blog this is for (its id or any link to it).
- Very specific: line 18
Topic: Ask for one line on what the post is about (예: 3월 제주 한달살기 숙소 고른 후기).
- Very specific: line 30
Every row's verdict comes with why, which carries the numbers behind it.
- Very specific: line 42
When document counts are missing (axes is 2) the server judges on searches and ad competition only and answers candidate, hold or …
≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
Naver keywords
Find keywords a Naver Blog post can actually win, measured and judged by Uplika, and leave with one keyword set per post. The set's draftPrompt is the brief the writing skills work from.
Use it when the person asks what to write about on Naver, which keywords to target, how often a keyword is searched (검색량), or wants a keyword set before writing. Writing and publishing belong to the naver-post skill, or naver-ai-cite when the goal is to be cited in Naver's AI Briefing.
Procedure
- Blog. Ask which blog this is for (its id or any link to it). If the person has a connected Naver Blog,
list_accountsshows it and its handle is the blog id. Any public blog works, connected or not. - Diagnose. Call
diagnose_naver_blogwith the blog. Read what it returns: the share of titles that carry a search intent word (price, how to, review), how many titles start with a date or episode label, posts per month, the categories, andflagswiththresholds(for examplelowIntent).summary.oldestandsummary.newestsay which dates it read andsummary.cappedsays whether it stopped early, so do not describe a long-running blog's whole history from it.seedCandidatesare words the blog repeats in its titles: candidates to research, not proven keywords. It reads titles only; whether the posts are actually cited by the AI Briefing or shown in search isscan_naver_blog_visibility, read withget_naver_visibility. - Seeds. Agree on seed keywords with the person: their topic, plus any
seedCandidatesthey want. Write each seed the way people type it into Naver search (예:제주 한달살기,아이패드 필기 앱). - Expand. Call
expand_naver_keywordswith the seeds (no more per call than its description allows; too many answersinvalid_params).found[]lists every autocomplete word with where it came from (fromis the seed orL1:<seed>), andviasays whether the person's Chrome extension or Uplika's server answered. These are candidates, not keywords yet. Drop the ones that are off topic for this post, together with the person when the list is long. - Topic. Ask for one line on what the post is about (예:
3월 제주 한달살기 숙소 고른 후기). It goes into the brief; without it the brief tells the writer to pick a subject that fits the main keyword. - Measure and judge. Call
research_naver_keywordswith the candidates askeywords, the person's request asseedText, and the line astopic. Its description says how many keywords one call takes, and keywords past that are dropped without an error, so send the candidates that fit the post best, strongest first. Sets only group keywords measured in the same call. The response has:rows: each keyword's monthly searches (volume), blog document count (docs), posts per month (monthly),ratio(searches over documents: higher means fewer writers per searcher), searchintent,verdictandwhy.sets: keywords grouped by search intent into one post each, amainkeyword plussubs, each set withprompt(a Korean brief for the skeleton) anddraftPrompt(a Korean brief for the whole post, with photo spots marked).reportId: the saved report.partial: truewithunmeasured[]: the time budget ran out before every keyword was measured. Call again with the same keywords; the measured ones come from cache and the rest finish. This is not an error.
- Show. One table per set: role (main or sub), keyword, volume, docs, ratio, verdict, and the gist of
why. Read the verdict and its reason from the response. Do not recompute ratios or re-judge with thresholds of your own. - Pick. One set is one post. Ask which set to write first. The set's main keyword is already the one that can be won, not the biggest one: do not swap it for a bigger sub, and do not add keywords the response did not measure.
- Hand off. Pass the chosen set's
draftPromptunchanged tonaver-post(ornaver-ai-cite), with its main keyword, subs and thereportId. Do not rewrite the brief or restate its rules; it carries its own placement rules and lengths. When the person wants to know whether Naver's AI Briefing answers the main keyword and whom it cites, hand over tonaver-ai-cite: it checks that before writing.
Verdicts
Every row's verdict comes with why, which carries the numbers behind it. Use these meanings when you explain them; the thresholds belong to the server.
| verdict | meaning |
best | Few documents for the searches. The strongest main keyword |
possible | Workable, with more competition than best |
hard | Many documents. Grow the blog first |
wall | So many documents that a new blog cannot break in |
hot | Many new posts every month. New posts get pushed down fast |
saturated | Too many documents for the searches |
phantom | Searches at the floor. Ranking first brings nobody |
When document counts are missing (axes is 2) the server judges on searches and ad competition only and answers candidate, hold or saturated_suspect. unmeasured means Search Ad had no data for that spelling, so conclude nothing from it. The Korean briefs label verdicts 최적, 가능, 어려움, 벽, 과열, 포화, 허수.
Past research
list_naver_keyword_reportslists saved research, newest first, with every set and its prompts. Reports belong to the person, not to a workspace. Reuse one instead of measuring again.- An older report may carry only
prompt. If the chosen set has nodraftPrompt, callresearch_naver_keywordsagain with that set's keywords and atopic; measurements still in the cache are reused. get_naver_keyword_historygives one keyword's measurements, one point per day it was measured, newest first. Use it to say whether a keyword is rising or cooling. An empty list means nobody has measured it here yet.
When something fails
research_tool_disabled: only a research tool still in beta answers this (the person has not turned it on for MCP connectors). Ask them once to open the link in the error (enableUrl) and turn it on, and do not retry until they say it is on. Carry on without it meanwhile, for example with keywords the person gives you.naver_autocomplete_unavailable: neither the extension nor Uplika's server could run autocomplete. Skip expansion and pass the seeds plus your own candidates straight toresearch_naver_keywords.naver_autocomplete_busyornaver_autocomplete_paused: waitretryAfterSeconds, then call once more.quota_exceeded: today's allowance for that kind of call is used up; the error says which (what) and the limit. Tell the person and work from saved reports and history.naver_seo_busy(Uplika's shared allowance with Naver is used up for now) orrate_limited(Naver is slowing us down): tell the person, and waitretryAfterSecondswhen the error gives it. Do not loop.workspace_required: show the workspaces it lists, ask which one, and passworkspaceId.- Anything else: call
get_helpwith the error code and pass its answer and link on.
Tools
list_accounts: the connected Naver Blog and its handle (the blog id)diagnose_naver_blog: title habits, categories, posts per month, seed candidatesexpand_naver_keywords: autocomplete candidates from seed keywordsresearch_naver_keywords: measure, judge and group keywords into sets withdraftPromptlist_naver_keyword_reports: saved research to reuseget_naver_keyword_history: one keyword's measurements over timescan_naver_blog_visibility: whether the blog's latest posts are cited by the AI Briefing or shown in search, searched through the person's extension (titles alone do not say)get_naver_visibility: the report card and per-post results of that search checkget_help: the answer for an error code
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