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competitor-analysis

by Eronred

Use the competitor-analysis skill to compare your app with real rivals, find keyword gaps, and uncover positioning opportunities for App Store strategy. It guides competitor-analysis install, competitor-analysis usage, and a structured competitor-analysis guide for Competitive Analysis.

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AddedMay 9, 2026
CategoryCompetitive Analysis
Install Command
npx skills add Eronred/aso-skills --skill competitor-analysis
Curation Score

This skill scores 78/100, which means it is a solid directory candidate: users can likely trigger it reliably and get useful competitor-analysis workflow guidance without starting from scratch. It is not fully comprehensive, but it is clear enough to justify installation for teams doing ASO or mobile app competitive research.

78/100
Strengths
  • Strong triggerability: the frontmatter explicitly maps user intents like "competitor analysis," "keyword gap," and "compare my app to" to this skill.
  • Good operational flow: it tells the agent to ask for App ID, competitor App IDs, target country, and analysis goals before proceeding.
  • Useful analysis structure: it includes a defined competitor-identification approach and a multi-part analysis framework for metadata and positioning.
Cautions
  • No supporting scripts, references, or resources, so the skill relies on SKILL.md alone for execution details.
  • The excerpt shows a structured start but not full end-to-end proof of the analysis depth, so some execution may still require agent judgment.
Overview

Overview of competitor-analysis skill

What competitor-analysis does

The competitor-analysis skill helps you compare an app against real market rivals so you can spot keyword gaps, positioning weaknesses, and metadata opportunities faster than by doing a manual spreadsheet pass.

Who should use it

Use this competitor-analysis skill if you need App Store competitive analysis for a live app, an ASO audit, a rebrand, or a launch plan. It is best for people who already know the app category and need a structured way to decide what to study first.

What makes it useful

Its main value is workflow clarity: it starts by identifying the app, competitors, target country, and research goal, then pushes the analysis toward actionable comparisons instead of generic market notes. That makes it a strong fit for competitor-analysis for Competitive Analysis when you want evidence-based direction, not just brainstorming.

How to Use competitor-analysis skill

Install competitor-analysis in your workspace

Use the directory install flow for this skill, then confirm the skill is available in the project context. A typical install path is:
npx skills add Eronred/aso-skills --skill competitor-analysis

Give the skill the right inputs

The competitor-analysis guide works best when you provide four things up front: your App ID, 3-5 competitor App IDs, target country, and the exact question you want answered. If you do not know competitors yet, say that clearly and ask the skill to identify them from category charts, keyword overlap, and similar-app patterns.

Turn a vague request into a useful prompt

Strong input is specific about scope and output. For example: “Run competitor-analysis on my app in the US. Compare metadata, keyword gaps, and positioning against 4 competitors. Focus on what changes would improve discoverability in the next release.” This is better than “analyze my competitors” because it tells the skill what to compare and what decision it should support.

Read the right files first

Start with SKILL.md, then check app-marketing-context.md if it exists, because that file may already list competitors or market assumptions. In this repository, there are no supporting scripts or reference folders, so the core guidance lives in the skill file itself.

competitor-analysis skill FAQ

Is competitor-analysis only for ASO work?

No. The competitor-analysis skill is centered on App Store strategy, but it is also useful for positioning and creative research when those decisions affect discoverability or conversion.

How is this different from a generic prompt?

A generic prompt usually produces broad competitive notes. This skill is better because it forces a sequence: identify the app, choose relevant competitors, define the country, and compare the dimensions that matter. That structure reduces guesswork and makes the output easier to act on.

When should I not use competitor-analysis?

Do not use competitor-analysis if you only need keyword expansion for one app, or if you already have a complete competitor set and only want metadata rewriting. In those cases, a narrower keyword or metadata skill will be more efficient.

How to Improve competitor-analysis skill

Give the skill better competitor inputs

The biggest quality jump comes from better competitor selection. If you can, include both direct and aspirational competitors, because that shows where your app is losing on parity and where it can borrow stronger positioning. For competitor-analysis, 3-5 apps is usually enough to reveal patterns without diluting the comparison.

Specify what “better” means

Tell the skill whether you care most about keyword coverage, conversion, category fit, or messaging. A prompt like “focus on keyword gaps and title/subtitle opportunities” will produce more useful output than a broad “analyze everything” request, because it narrows the comparison to decisions you can actually make.

Watch for common failure modes

The main failure mode is over-broad analysis: too many competitors, too many markets, and no clear output priority. Another is weak source context, where the skill has to guess the user’s app, country, or market segment. For competitor-analysis, missing those inputs usually lowers precision more than missing extra data raises it.

Iterate after the first pass

Use the first output to refine the next prompt. If the analysis is too high level, ask for a tighter competitor-analysis guide with a single country, a smaller competitor set, and a ranked list of opportunities. If the analysis is too metadata-heavy, ask it to separate discoverability, conversion, and positioning into distinct recommendations.

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