Die Oberfläche ist lokalisiert; Skill-Beschreibungen und -Dokumente werden per KI automatisch in Ihre Sprache übersetzt. Code, Befehle, Pfade und Fachbegriffe bleiben im Original, maßgeblich ist das Dokument des Autors.
Skills entdecken
Produktivität · SKILL.md

semantic-core

semantic-core

Собирать семантическое ядро для SEO или рекламы через Wordstat: интенты, кластеризация, минус-слова, структура страниц и кампаний. Использовать для нового ядра, группировки запросов или проектирования поискового спроса.

Independent GitHub snapshot · Automated classification · Original documentation governs

Skill-Dokumentation

GitHub

name: semantic-core description: "Собирать семантическое ядро для SEO или рекламы через Wordstat: интенты, кластеризация, минус-слова, структура страниц и кампаний. Использовать для нового ядра, группировки запросов или проектирования поискового спроса."

Semantic Core

Use when the user asks to build a keyword core, cluster semantics, prepare SEO structure, or prepare ad campaign groups from demand.

Inputs

Ask only for missing essentials:

  • product/service and geography;
  • site or planned landing pages;
  • business goal and target action;
  • exclusions and legal restrictions;
  • whether output is for SEO, ads, or both;
  • workspace_project_id if the result should be saved.

MCP Rules

  • Use search_tools and get_tool_schema before Wordstat calls.
  • Wordstat does not need client_login or connection_id.
  • For provider-specific follow-up, resolve scope through get_provider_context.

Workflow

  1. Generate seed queries.
  2. Expand through wordstat_top_requests.
  3. Check seasonality and region when relevant.
  4. Remove irrelevant intents and collect minus words.
  5. Cluster by user intent, not only lexical similarity.
  6. Produce SEO page structure and/or ad group structure.
  7. Save only when requested, to the exact requested file, sheet or document using an available tool. For a Workspace destination, also resolve project scope; a connected Workspace does not imply permission to save there.

Before clustering or formatting the final result, read the relevant bundled references:

  • references/clustering-rules.md for cluster and campaign boundaries;
  • references/intent-and-minus-words.md for intent and negative-keyword decisions;
  • references/output-format.md for the deliverable structure.

Output

Use measured numbers only with the exact source phrase, returned phrase, section, region, devices and observed period. In embedded chat use typed observations. Zero is a measurement; missing or failed data is N/A. YES/NO is not frequency. Keep unmeasured expansion ideas separate. Do not claim website analysis without reading it. Frequency alone does not prove conversion potential. List missing sources explicitly; advice on supplied data does not require a paid refresh.

Return clusters, representative phrases, intent, recommended page/campaign, minus words, and validation notes. Mark estimates clearly when Wordstat data is unavailable.

Gespeicherte Skills