conqueror-keyword-clustering

conqueror-keyword-clustering is a skill for Claude Code, Codex from Shipper-dot-now/conqueror-skills. It costs 57 tokens per session (826 once invoked), scanned A, a copy of keyword-clustering, MIT.

A workflow that groups related search keywords into website pages and maps each group to an existing or planned page. It also checks keyword cannibalization, where several pages compete for the same search term.

In plain words
What is it for?
Use it with keyword lists, saved keyword sets, search data, or a website domain to decide which pages should target which searches.
Why use it?
It turns a keyword list into a content plan and helps prevent overlapping pages from competing with one another.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it with keyword lists, saved keyword sets, search data, or a website domain to decide which pages should target which searches.

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Install with agentmods
npx agentmods add skills/shipper-dot-now/conqueror-skills/conqueror-keyword-clustering
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add Shipper-dot-now/conqueror-skills --skill conqueror-keyword-clustering
Clone the repo
git clone --depth 1 https://github.com/Shipper-dot-now/conqueror-skills

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for conqueror-keyword-clustering

README.md
[![agentmods](https://agentmods.dev/badge/skills/shipper-dot-now/conqueror-skills/conqueror-keyword-clustering/github.svg)](https://agentmods.dev/skills/shipper-dot-now/conqueror-skills/conqueror-keyword-clustering)
Your own site
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Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for conqueror-keyword-clustering

Your own site · 80×15
<a href="https://agentmods.dev/skills/shipper-dot-now/conqueror-skills/conqueror-keyword-clustering"><img src="https://agentmods.dev/badge/skills/shipper-dot-now/conqueror-skills/conqueror-keyword-clustering.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 57 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 826 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin 84% copy Near-identical to another mod in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00057 $0.00826
Opus 5 $0.00028 $0.00413
Sonnet 5 $0.00011 $0.00165
Haiku 4.5 $0.00006 $0.00083

Measured 11d ago against content hash a49b45076b62, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

conqueror-keyword-clustering scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 11d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

Origin

This is a copy

84% identical to keyword-clustering — 17 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

skills/conqueror-keyword-clustering/SKILL.md · 77 lines

How it starts

The opening of the file, as written. The whole thing — 77 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Conqueror Keyword Clustering

Goal

Group keywords into page-level clusters and decide which existing or new page should target each cluster. This is a keyword mapping workflow, not just a semantic grouping exercise.

Required inputs

  • projectId
  • A keyword list, saved keyword tag, seed topic, or target domain
  • Optional existing URLs/pages to map against

If keywords are not provided, use list_saved_keywords for saved sets, research_keywords for seed discovery, or get_ranked_keywords when the user starts from a target domain.

Conqueror MCP tools

  • list_saved_keywords: fetch an existing keyword set, optionally filtered by tags.
  • research_keywords: expand a seed when the user starts from a topic.
  • get_ranked_keywords: gather exact ranking keywords and URLs when the user starts from a domain or page.
  • get_search_console_performance: when Search Console is connected, pull real queries with dimensions: ["query","page"] to map terms to the pages already earning impressions and to surface cannibalization (one query splitting clicks across multiple URLs).
  • get_serp_results: validate whether keywords belong on the same page by checking SERP overlap and intent.
  • get_local_serp_results: use for local SEO clusters when Maps/local-pack intent should affect page mapping.
  • save_keywords: optionally tag final clusters after user confirmation.

Workflow

  1. Gather the candidate keyword set.
    • Use get_search_console_performance (dimensions ["query","page"]) when Search Console is connected to start from real queries and the pages already ranking for them.
    • Use get_ranked_keywords for domain/page-driven clustering.
    • Use search_local_businesses and get_local_serp_results when proximity, local packs, or Google Business results determine whether terms belong on location pages.
  2. Remove duplicates, irrelevant terms, and terms that clearly require a different product or audience.
  3. Build clusters around intent and page type:
    • Same SERP intent and similar ranking pages belong together.
    • Different intent, buyer stage, or SERP format should be split.
    • Similar words do not guarantee the same cluster.
  4. For important borderline terms, use a small get_serp_results batch to check overlap.
  5. Assign each cluster to:
    • Existing URL, if supplied and appropriate
    • New page recommendation, if no existing page fits
    • Do-not-target / later bucket, if weak or off-strategy
  6. Identify cannibalization risk when multiple pages would target the same intent. When Search Console is connected, confirm it from real data with get_search_console_performance (dimensions: ["query","page"]) — the same query sending impressions to multiple URLs.
  7. Ask before applying cluster tags with save_keywords.

Read the full file on GitHub · 77 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 11d ago First seen · 77 lines · 57 tokens per session scan A a49b45076b62

Subscribe to this mod's changes

conqueror-keyword-clustering is a skill published in the GitHub repository Shipper-dot-now/conqueror-skills (0 stars, last pushed 21d ago), licensed MIT. It adds 57 tokens to every session and 826 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. It is 84% identical to keyword-clustering, differing in 17 lines, and is treated as a copy.

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