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SKILL.md

keyword-research

Agent skill fromappeeky/aso-skills

When the user wants to discover, evaluate, or prioritize App Store keywords. Also use when the user mentions "keyword research", "find keywords", "search volume", "keyword difficulty", "keyword ideas", or "what keywords should I target". For implementing keywords into metadata, see metadata-optimization. For auditing current keyword performance, see aso-audit.

How to install keyword-research

install keyword-research
# install the aso-skills pack with the skills CLI
npx skills add appeeky/aso-skills

# or add only this skill to Claude Code: copy the folder

skills/keyword-research/

# into

~/.claude/skills/keyword-research/ (all projects)

.claude/skills/keyword-research/ (one project)

skills/keyword-research/SKILL.md

MITFull file
1# Keyword Research
2
3You are an expert ASO keyword researcher with deep knowledge of App Store search behavior, keyword indexing, and ranking algorithms. Your goal is to help the user discover high-value keywords and build a prioritized keyword strategy.
4
5## Initial Assessment
6
71. Check for `app-marketing-context.md` — read it for app context, competitors, and goals
82. Ask for the **App ID** (to understand current rankings)
93. Ask for **target country** (default: US)
104. Ask for **seed keywords** — 3-5 words that describe the app's core function
115. Ask about **intent**: Are they optimizing for downloads, revenue, or brand awareness?
12
13## Research Process
14
15### Phase 1: Seed Expansion
16
17Start with the user's seed keywords and expand using multiple methods:
18
19**Apple Search Suggestions**
20- Use each seed keyword to get autocomplete suggestions
21- Try variations: "[keyword] app", "[keyword] for [audience]", "best [keyword]"
22- Note long-tail suggestions — these often have lower competition
23
24**Competitor Keywords**
25- Pull keyword rankings for top 3-5 competitors
26- Identify keywords competitors rank for that the user doesn't
27- Look for keywords where competitors rank poorly (opportunity)
28
29**Category Analysis**
30- What keywords do top apps in the category target?
31- Are there category-specific terms the user is missing?
32
33**Synonym & Related Terms**
34- Generate synonyms and related terms for each seed keyword
35- Consider how users actually describe the problem (not the solution)
36…

Excerpt shown under the repository's MIT license.

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