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Skills/aaron-he-zhu/seo-geo-claude-skills/keyword-research
keyword-research logo

keyword-research

aaron-he-zhu/seo-geo-claude-skills
6K installs2K stars
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Installation

npx skills add https://github.com/aaron-he-zhu/seo-geo-claude-skills --skill keyword-research

Summary

Use when the user asks to "find keywords"; prioritizes volume, difficulty, intent, and clusters from provided or connected data. 关键词研究/内容选题

SKILL.md

Keyword Research

Discovers, scores, and clusters keywords for SEO and GEO planning.

Quick Start

Research keywords for [topic/product/service]
What keywords is [competitor URL] ranking for that I should target?

Skill Contract

Expected output: a prioritized keyword brief plus the standard handoff summary for memory/research/.

  • Reads: goals, market inputs, tool data, and prior strategy from CLAUDE.md and the shared State Model when available.
  • Writes: a user-facing research deliverable and reusable summary.
  • Promotes: durable keyword priorities, competitor facts, and pending strategy decisions to memory/hot-cache.md, memory/open-loops.md, and memory/research/.
  • Primary next skill: competitor-analysis when the keyword set is ready for market comparison.

Handoff Summary

Emit the standard shape from skill-contract.md §Handoff Summary Format.

Data Sources

Optional integrations: ~~SEO tool, ~~search console. Without tools, ask for seed keywords, audience, goals, and any known metrics. See CONNECTORS.md.

Instructions

When a user requests keyword research, run eight phases and announce each as [Phase X/8: Name]:

  1. Scope — clarify product, audience, business goal, DR, geography, and language.
  2. Discover — seed from core, problem, solution, audience, and industry terms.
  3. Variations — expand with modifiers and long-tail patterns.
  4. Classify — tag by intent (informational, navigational, commercial, transactional).
  5. Score — assign difficulty (1-100) and compute Opportunity = (Volume × Intent Value) / Difficulty, with Intent Value 1 / 1 / 2 / 3.
  6. GEO-Check — flag AI-answer-friendly queries such as questions, definitions, comparisons, lists, and how-tos.
  7. Cluster — group keywords into pillar + cluster topic hubs.
  8. Deliver — output an Executive Summary, Quick Wins / Growth / GEO opportunities, Topic Clusters, Content Calendar, and Next Steps.

Quality bar: every recommendation includes at least one specific number. Rewrite generic advice into a concrete keyword + volume + difficulty + reason.

Reference: See references/instructions-detail.md for the full 8-phase templates, expansion patterns, intent table, difficulty tiers, opportunity matrix, GEO indicators, cluster template, actionable-vs-generic examples, and advanced usage.

Example

Example outcome: 150+ keywords analyzed, 23 high-priority opportunities, ~45K/month traffic potential across 3 focus areas. See the full sample in references/example-report.md.

Advanced Usage

Intent mapping, seasonal analysis, competitor gaps, and local keyword workflows live in references/instructions-detail.md.

Tips for Success

Start with seeds, respect intent, cluster tightly, prioritize quick wins, and review quarterly. Full notes live in references/instructions-detail.md.

Save Results

After delivering, offer to save memory/research/keyword-research/YYYY-MM-DD-<topic>.md and promote durable conclusions to memory/hot-cache.md.

Reference Materials

  • Instructions Detail — Workflow, scoring, cluster template, advanced usage
  • Keyword Intent Taxonomy — Intent signals and content mapping
  • Topic Cluster Templates — Pillar and cluster patterns
  • Keyword Prioritization Framework — Scoring and prioritization rules
  • Example Report — Worked sample

Next Best Skill

Primary: competitor-analysis. Also: content-gap-analysis and serp-analysis.

Score

0–100
71/ 100

Grade

B

Popularity23/30

6,094 installs — solid traction. Source repo has 2,127 GitHub stars.

Completeness27/30

Documented: full SKILL.md body, description, one-line install. Missing: category/license metadata.

Trust15/25

Community skill with a public GitHub source repository you can review.

Freshness6/15

No update timestamp is tracked for this skill in our catalog.

Scored automatically from popularity, completeness, trust, and freshness — computed only from data in our catalog, never fabricated.

Proud of your score? Add this badge to your README.

Paste a snippet into your GitHub README. The badge updates automatically and links back to this page.

Keyword Research skill score badge previewScore badge

Markdown

[![Keyword Research skill](https://www.remoteopenclaw.com/skills/aaron-he-zhu/seo-geo-claude-skills/keyword-research/badges/score.svg)](https://www.remoteopenclaw.com/skills/aaron-he-zhu/seo-geo-claude-skills/keyword-research)

HTML

<a href="https://www.remoteopenclaw.com/skills/aaron-he-zhu/seo-geo-claude-skills/keyword-research"><img src="https://www.remoteopenclaw.com/skills/aaron-he-zhu/seo-geo-claude-skills/keyword-research/badges/score.svg" alt="Keyword Research skill"/></a>

Keyword Research FAQ

How do I install the Keyword Research skill?

Run “npx skills add https://github.com/aaron-he-zhu/seo-geo-claude-skills --skill keyword-research” in your terminal. The skill is added to your agent's skills directory and picked up automatically on the next run — no restart or extra configuration needed.

What does the Keyword Research skill do?

Use when the user asks to "find keywords"; prioritizes volume, difficulty, intent, and clusters from provided or connected data. 关键词研究/内容选题 The full SKILL.md on this page shows the exact instructions the skill gives your agent.

Is the Keyword Research skill free?

Yes. Keyword Research is a free, open-source skill published from aaron-he-zhu/seo-geo-claude-skills. As with any third-party skill, review the source repository before installing it into an agent with sensitive access.

Does Keyword Research work with Claude Code and OpenClaw?

Yes. Skills use the portable SKILL.md format, so Keyword Research works with Claude Code, OpenClaw, Codex, Hermes, and any other agent that reads SKILL.md skills.

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