Seo keyword research
A curated guide to convention files AI agents read, write, and act on: AGENTS.md, CLAUDE.md, SKILL.md, llms.txt, MCP configs, rules, and examples.
npx -y skills add ItamarZand88/awesome-agent-conventions --skill seo-keyword-researchAssembled from the repository path, not quoted from the project. Check it against their README if it does not work.
SKILL.md
7.7 KB, as published. Nobody here has run it
name: keyword-research description: 'Use when the user asks to "find keywords", "挖词", or "搜什么词"; prioritizes search volume, keyword difficulty, intent, and topic clusters from provided or connected data. Not for competitor-relative coverage gaps — use content-gap-analysis. 关键词研究/内容选题' version: "9.9.10" license: Apache-2.0 compatibility: "Claude Code and compatible agent-skill hosts" homepage: "https://github.com/aaron-he-zhu/seo-geo-claude-skills" when_to_use: "Use when starting keyword research for a new page, topic, or campaign. Also when the user asks about search volume, keyword difficulty, topic clusters, long-tail keywords, what to write about, 关键词研究, 挖词, 内容选题, or 搜什么词." argument-hint: "<topic or seed keyword> [market/language]" metadata: author: aaron-he-zhu version: "9.9.10" geo-relevance: "medium" tags: - seo - geo - keyword-research - search-volume - keyword-difficulty - topic-clusters - search-intent - long-tail-keywords - 关键词研究 - SEO关键词 - キーワード調査 - 키워드분석 - palabras-clave triggers: - "keyword research" - "search volume analysis" - "what should I write about" - "give me keyword ideas" - "how competitive is this keyword" - "Ahrefs keyword explorer alternative" - "Google Keyword Planner alternative" - "关键词分析" - "长尾关键词" - "帮我挖词"
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: topic or seed keyword, target market/language, business goal, site DR, and any user-provided or tool metrics.
- 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, andmemory/research/. - Done when: every shortlisted keyword carries volume + difficulty + intent (or a labeled N/A); keywords are grouped into pillar + cluster hubs; and the deliverable names at least 3 prioritized Quick Win / Growth / GEO opportunities.
- 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.
Zero-dependency local helper (no tool needed): python3 scripts/connectors/suggest.py "<seed>" --expand harvests free keyword ideas from Google Autocomplete (⚠️ unofficial endpoint). Search volume / difficulty still needs ~~SEO tool or own Search Console data. See scripts/connectors/README.md.
Instructions
When a user requests keyword research, run eight phases and announce each as [Phase X/8: Name]:
- Scope — clarify product, audience, business goal, DR, geography, and language.
- Discover — seed from core, problem, solution, audience, and industry terms.
- Variations — expand with modifiers and long-tail patterns.
- Classify — tag by intent (informational, navigational, commercial, transactional).
- Score — assign difficulty (1-100) and compute
Opportunity = (Volume × Intent Value) / Difficulty, with Intent Value1 / 1 / 2 / 3. - GEO-Check — flag AI-answer-friendly queries such as questions, definitions, comparisons, lists, and how-tos.
- Cluster — group keywords into pillar + cluster topic hubs.
- Deliver — output an Executive Summary, Quick Wins / Growth / GEO opportunities, Topic Clusters, Content Calendar, and Next Steps.
Label every metric Measured (tool/export), User-provided, or Estimated (model inference); never present an estimate as measured; if a required metric is unavailable, mark it N/A — do not invent it.
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
Write path: memory/research/keyword-research/YYYY-MM-DD-<topic>.md; promote durable keyword priorities to memory/hot-cache.md. See Skill Contract §Save Results Template.
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.