Agent skill

Review Management

by appeeky in appeeky/aso-skills

When the user wants to analyze, respond to, or improve their app reviews and ratings.

MITAuto-check passedSales & Support

Install Review Management

skills CLI
$ npx skills add appeeky/aso-skills --skill review-management -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install appeeky/aso-skills review-management --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/appeeky/aso-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/review-management .claude/skills/review-management && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
review-management
GitHub stars
2.2k
Token cost
~1.5k tokens
SKILL.md length
697 words
Files
1
Skills in repo
39
Repo updated
First seen
Licence
MIT

At a glance

When the user wants to analyze, respond to, or improve their app reviews and ratings.

  • Works in 5 steps: Check for app-marketing-context.md —… → Ask for the App ID (to fetch current… → Ask for target country (default: US) → …
  • Wants to analyze
  • SKILL.md covers Initial Assessment, Review Analysis Framework, Rating Improvement Strategy and Review Mining for Product…, plus 2 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Review Management is an agent skill from appeeky/aso-skills. When the user wants to analyze, respond to, or improve their app reviews and ratings. Also use when the user mentions "reviews", "ratings", "negative reviews", "how to get more reviews", "review response", or "my rating is dropping". For broader ASO audit, see aso-audit. For retention issues causing bad reviews, see retention-optimization.

Its SKILL.md is about 1.5k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Sales & Support, covering Customer feedback analysis and App store release. The repository describes itself as: AI agent skills for App Store Optimization (ASO) and app marketing. Built for indie developers, app marketers, and growth teams who want Cursor, Claude Code, or any Agent… The licence is MIT.

When your agent uses it

  • Wants to analyze
  • Improve their app reviews and ratings
  • The user mentions reviews
  • Negative reviews

Example prompts

  • “reviews”
  • “ratings”
  • “negative reviews”
  • “/review-management”

Workflow steps

5 steps, taken from the first numbered list in SKILL.md.

  1. Check for app-marketing-context.md — read it for context
  2. Ask for the App ID (to fetch current reviews)
  3. Ask for target country (default: US)
  4. Ask about their current rating and trend (improving or declining?)
  5. Ask if they currently respond to reviews

What it can do on your machine

Read from SKILL.md and the folder at commit 3919d7c. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Review Management loads about 1.5k tokens when it runs. Until then it costs about 90 tokens; SKILL.md has 697 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~90
When it runs · the whole SKILL.md, loaded when a task matches
~1.5k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from appeeky/aso-skills at commit 3919d7c, republished under its MIT licence (© appeeky). 697 words, ~1,483 tokens.

Download SKILL.mdSave it as .claude/skills/review-management/SKILL.md (or your agent's skills folder).
name
review-management
description
When the user wants to analyze, respond to, or improve their app reviews and ratings. Also use when the user mentions "reviews", "ratings", "negative reviews", "how to get more reviews", "review response", or "my rating is dropping". For broader ASO audit, see aso-audit. For retention issues causing bad reviews, see retention-optimization.
metadata.version
1.0.0

Review Management

You are an expert in app review strategy and reputation management. Your goal is to help the user turn reviews into a growth lever — improving ratings, gaining insights, and building user trust.

Initial Assessment

  1. Check for app-marketing-context.md — read it for context
  2. Ask for the App ID (to fetch current reviews)
  3. Ask for target country (default: US)
  4. Ask about their current rating and trend (improving or declining?)
  5. Ask if they currently respond to reviews

Review Analysis Framework

Sentiment Analysis

Categorize reviews into:

CategoryDescriptionAction
Bugs & CrashesTechnical issuesFix and respond with timeline
Feature RequestsUsers want something newTrack frequency, consider for roadmap
UX ComplaintsConfusing or frustrating flowsPrioritize UX improvements
Pricing ComplaintsToo expensive, paywall issuesReview monetization strategy
Love & PraisePositive feedbackThank and ask for sharing
Competitor MentionsUsers comparing to alternativesUnderstand competitive gaps
Review Metrics to Track
MetricTargetWhy
Average rating4.5+ starsBelow 4.0 significantly hurts conversion
Rating trendStable or improvingDeclining trend signals problems
Review velocityConsistentSudden drops may indicate prompt issues
Response rate100% of negativeShows you care, can change ratings
Response time< 24 hoursFast responses build trust

Rating Improvement Strategy

In-App Rating Prompt Optimization

When to show the prompt:

  • After a positive experience (completed a task, achieved a goal)
  • After the user has used the app 3+ times
  • After at least 7 days of usage
  • Never after a crash, error, or frustrating moment
  • Never during onboarding or first session

Apple's SKStoreReviewController rules:

  • Can only be called 3 times per 365-day period per device
  • Apple controls when the dialog actually appears
  • You cannot customize the dialog
  • You can control WHEN you call it (timing is everything)

Smart trigger patterns:

  1. Achievement trigger — User completes a milestone
  2. Streak trigger — User returns for N consecutive days
  3. Value trigger — User saves money, time, or achieves a result
  4. Delight trigger — After a moment of surprise or delight
Handling Negative Reviews

Response framework (HEAR):

  1. Hear — Acknowledge the specific issue they mentioned
  2. Empathize — Show you understand their frustration
  3. Act — Explain what you're doing about it (or have done)
  4. Resolve — Invite them to contact support for direct help

Response templates:

Bug report:

Thank you for reporting this, [name]. We identified the issue and it's fixed in version [X.X] releasing [date]. We appreciate your patience — please update when available and let us know if it resolves the issue.

Feature request:

Great suggestion! We've added this to our roadmap. We're always looking to improve based on user feedback. Stay tuned for upcoming updates.

Vague negative ("This app sucks"):

We're sorry to hear about your experience. We'd love to understand what went wrong so we can improve. Could you reach out to [support email] with details? We're here to help.

What NOT to do:

  • Don't be defensive or argumentative
  • Don't copy-paste the same response to every review
  • Don't ignore negative reviews
  • Don't ask users to change their rating (against guidelines)
  • Don't offer incentives for reviews
Show full SKILL.md (193 more words)Show less
Turning Detractors into Advocates
  1. Fix the issue they reported
  2. Respond acknowledging the fix
  3. Follow up via support if they contacted you
  4. Many users will update their review after a positive resolution

Review Mining for Product Insights

Competitor Review Analysis

Read competitor reviews to find:

  • Unmet needs — What do users wish the competitor had?
  • Common complaints — What frustrates users? (your opportunity)
  • Switching triggers — Why do users leave competitors?
  • Feature expectations — What's table stakes in the category?
Your Review Patterns

Analyze your reviews for:

  • Most mentioned features (positive and negative)
  • Common user segments (who uses your app?)
  • Emotional language (what feelings does your app evoke?)
  • Comparison mentions (which competitors do users mention?)

Output Format

Review Health Report
Rating:           [X.X] ★ ([trend: ↑/↓/→])
Total Reviews:    [N]
Last 30 Days:     [N] reviews, [X.X] avg rating
Response Rate:    [X]%

Top Issues:
1. [issue] — mentioned [N] times
2. [issue] — mentioned [N] times
3. [issue] — mentioned [N] times

Top Praise:
1. [praise] — mentioned [N] times
2. [praise] — mentioned [N] times
Action Plan
  1. Immediate: [respond to X negative reviews using templates]
  2. This week: [fix top reported bug, optimize rating prompt timing]
  3. This month: [implement top feature request, analyze competitor reviews]
Response Drafts

Provide specific response drafts for the most impactful negative reviews.

  • aso-audit — Reviews as part of broader ASO health check
  • retention-optimization — Fix retention issues causing bad reviews
  • competitor-analysis — Mine competitor reviews for insights
  • app-analytics — Track review metrics over time

© appeeky, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in skills/review-management of appeeky/aso-skills.

Open the folder on GitHubat commit 3919d7c

Compare with similar skills

Review Management next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Review Management compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Review Management this skillappeeky/aso-skills2.2k—~1.5kAutomated safety check: PassMIT
Review Miningshawnpang/startup-founder-skills343—~1.5kAutomated safety check: PassMIT
Review Managementericrisco/rsc-harness180—~2.9kAutomated safety check: PassMIT
Echo Feedbackjeremylongshore/tons-of-skills-marketplace2.8k—~1.2kAutomated safety check: NotesMIT
Replica EntrepreneurJakeschincariol/replica-skill1.4k—~1.2kAutomated safety check: PassMIT
App Review Videogug007/lpm152—~2.4kAutomated safety check: PassMIT

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Categories

Questions about Review Management

What does Review Management do?

When the user wants to analyze, respond to, or improve their app reviews and ratings. Review Management is an agent skill from appeeky/aso-skills. When the user wants to analyze, respond to, or improve their app reviews and ratings.

When should I use Review Management?

Review Management fits situations like: wants to analyze; improve their app reviews and ratings; the user mentions reviews; negative reviews.

How do I install Review Management in Claude Code?

Run `npx skills add appeeky/aso-skills --skill review-management -a claude-code`. Or copy the skill folder (skills/review-management in appeeky/aso-skills) into .claude/skills/review-management in your project. Claude Code loads it when a task matches its description.

How do I install Review Management in Codex?

Run `npx skills add appeeky/aso-skills --skill review-management -a codex`. Or copy the skill folder (skills/review-management in appeeky/aso-skills) into .agents/skills/review-management in your project. Codex loads it when a task matches its description.

Can I use Review Management in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add appeeky/aso-skills --skill review-management -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/review-management, .gemini/skills/review-management, .github/skills/review-management and .opencode/skills/review-management in your project.

What does Review Management need to run?

SKILL.md names no scripts, command-line tools or credentials: Review Management is instructions for the agent only.

Does Review Management access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Review Management safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Review Management use?

Review Management is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Review Management use?

About 1.5k tokens (SKILL.md is roughly 5.9k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Review Management?

Skills that share tags, products or a category with Review Management: Review Mining (shawnpang/startup-founder-skills, 343 stars), Review Management (ericrisco/rsc-harness, 180 stars), Echo Feedback (jeremylongshore/tons-of-skills-marketplace, 2.8k stars) and Replica Entrepreneur (Jakeschincariol/replica-skill, 1.4k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Review Management?

appeeky (a GitHub organization) maintains it in appeeky/aso-skills, which has 2,163 GitHub stars. The repository holds 39 skills in this directory. The repository was last updated on October 6, 2026.

Source: appeeky/aso-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.