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Agent skill

Review Management

by garrettjsmith in garrettjsmith/localseoskills

When the user wants to generate more reviews, respond to reviews, build a review strategy, or manage online reputation.

MITAuto-check passedMarketing & SEO

Install Review Management

skills CLI
$ npx skills add garrettjsmith/localseoskills --skill review-management -a claude-code

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

GitHub CLI
$ gh skill install garrettjsmith/localseoskills 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/garrettjsmith/localseoskills.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
121
Token cost
~2.9k tokens
SKILL.md length
1,445 words
Files
1
Skills in repo
38
Repo updated
First seen
Licence
MIT

At a glance

When the user wants to generate more reviews, respond to reviews, build a review strategy, or manage online reputation.

  • Works in 4 steps: Current State: Total reviews, average… → Competitors: How many reviews do top-3… → Channels: Google, Yelp, Facebook,… → …
  • Wants to generate more reviews
  • SKILL.md covers Initial Assessment, Reviews as a Ranking Factor, Review Generation Strategy and Review Response Strategy, plus 6 more sections
  • Reaches search.google.com

What it does

Review Management is an agent skill from garrettjsmith/localseoskills. When the user wants to generate more reviews, respond to reviews, build a review strategy, or manage online reputation. Also use when the user mentions "reviews," "reputation management," "review generation," "review response," "star rating," "negative reviews," or "get more Google reviews." For GBP profile optimization, see gbp-optimization.

Its SKILL.md is about 2.9k 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 Marketing & SEO, covering Local SEO. The repository describes itself as: Open-source Claude SEO tool for local search visibility — skills, tool integrations, and automation templates that turn Claude into a Local SEO expert. The licence is MIT.

When your agent uses it

  • Wants to generate more reviews
  • Respond to reviews
  • Build a review strategy
  • Manage online reputation

Example prompts

  • “reviews,”
  • “reputation management,”
  • “review generation,”
  • “/review-management”

Workflow steps

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

  1. Current State: Total reviews, average rating, review velocity, response rate
  2. Competitors: How many reviews do top-3 map pack competitors have?
  3. Channels: Google, Yelp, Facebook, industry-specific (Healthgrades, Avvo, etc.)
  4. Capacity: Who handles review responses? How quickly?

What it can do on your machine

Read from SKILL.md and the folder at commit 405ce20. 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

    Hosts in commands or code, which the agent is likely to contact:

    • search.google.com

    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 2.9k tokens when it runs. Until then it costs about 91 tokens; SKILL.md has 1,445 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~91
When it runs · the whole SKILL.md, loaded when a task matches
~2.9k

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 garrettjsmith/localseoskills at commit 405ce20, republished under its MIT licence (© garrettjsmith). 1,445 words, ~2,935 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 generate more reviews, respond to reviews, build a review strategy, or manage online reputation. Also use when the user mentions "reviews," "reputation management," "review generation," "review response," "star rating," "negative reviews," or "get more Google reviews." For GBP profile optimization, see gbp-optimization.
metadata.version
1.1.0
metadata.author
Garrett Smith

Review Management

Default data tool: LocalSEOData (localseodata-tool). Use google_reviews for recent reviews, review_velocity for trends over time, multi_platform_reviews for cross-platform data, reputation_audit for full reputation assessment. For review generation campaigns, use Whitespark.

You are an expert in local business review strategy. Your goal is to help businesses generate authentic reviews, respond effectively, and leverage reviews as both a ranking signal and conversion tool.

Initial Assessment

Before building a strategy, understand:

  1. Current State: Total reviews, average rating, review velocity, response rate
  2. Competitors: How many reviews do top-3 map pack competitors have?
  3. Channels: Google, Yelp, Facebook, industry-specific (Healthgrades, Avvo, etc.)
  4. Capacity: Who handles review responses? How quickly?

Reviews as a Ranking Factor

The #1 thing to understand about reviews and rankings: recency beats volume.

The number of reviews you've gotten THIS MONTH matters more than your total count. There's a direct, documented correlation: when businesses stop getting new reviews, rankings drop. When they resume, rankings recover. Review recency is a top-5 ranking factor as of 2025-2026.

This means a business with 500 total reviews but none in 90 days will lose ground to a competitor with 100 reviews getting 8/month. Stop optimizing for total count — optimize for consistent flow.

Reviews impact local rankings through:

  • Recency: Recent reviews weighted most heavily. A steady cadence is the strongest review signal
  • Velocity: Consistent flow over time (not bursts). Daily/weekly review requests, not quarterly campaigns
  • Volume relative to competitors: Total count matters, but only in context of your market
  • Rating: Higher average = stronger signal
  • Keywords: Natural mention of services/locations in review text
  • Diversity: Reviews across platforms, not just Google

Review Generation Strategy

The Ask Framework
  1. Identify the moment: After service completion, positive interaction, or milestone
  2. Ask in person first: Verbal ask is highest-converting
  3. Follow up digitally: SMS > Email for response rates
  4. Make it easy: Direct link to Google review form
  5. Don't incentivize: Offering rewards for reviews violates Google guidelines

Generate a direct review link:

https://search.google.com/local/writereview?placeid=YOUR_PLACE_ID

Or short link via GBP dashboard.

Channel Priority
  1. Google — Primary ranking signal, highest visibility
  2. Industry-specific — See industry platforms table below
  3. Facebook — Social proof, recommendations
  4. Yelp — Don't ask directly (Yelp penalizes solicitation)
Industry-Specific Review Platforms

Different verticals have review platforms that carry outsized weight with consumers and often influence search rankings.

Healthcare (Medical, Dental, Chiropractic):

  • Healthgrades — Highest authority for doctor searches, often outranks the practice's own site
  • WebMD — Significant consumer trust; negative reviews here damage reputation disproportionately
  • Vitals — Used by insurance networks for doctor discovery
  • ZocDoc — Combines reviews with appointment booking; high conversion platform
  • RateMDs — Particularly relevant in markets near Canada (cross-border patients)
  • Doximity — Physician peer network, not consumer-facing but affects referrals

Legal:

  • Avvo — Dominant for attorney searches; Avvo rating is its own ranking system
  • Martindale-Hubbell — Oldest legal directory; peer ratings carry weight
  • Lawyers.com — Consumer-facing FindLaw property
  • Super Lawyers — Selection-based (not open reviews) but high authority
  • Google remains critical — most people search Google, not legal directories

Home Services (HVAC, Plumbing, Electrical, Roofing):

  • Angi (formerly Angie's List) — Paid lead platform with reviews
  • HomeAdvisor — Now merged with Angi; still has separate review ecosystem
  • Thumbtack — Strong in some markets, particularly for smaller jobs
  • Houzz — Dominant for remodeling, design, and construction
  • BBB — Accreditation matters to older demographics; complaints are visible in search

Restaurants & Hospitality:

  • Yelp — Actually critical in this vertical (unlike others where it's secondary)
  • TripAdvisor — Essential for tourism-dependent restaurants
  • OpenTable — Reviews tied to actual diners (verified)
  • DoorDash/Uber Eats — Ratings on delivery platforms now affect discovery

Automotive:

  • DealerRater — Primary review platform for dealerships
  • Cars.com — Reviews visible in vehicle shopping flow
  • Edmunds — Consumer research phase reviews
  • CarGurus — Growing platform with dealer reviews

Real Estate:

  • Zillow — Agent reviews integrated into property search
  • Realtor.com — Reviews visible to active homebuyers
  • Homes.com — Growing review platform

Financial Services:

  • NerdWallet — Reviews for banks, credit unions, financial advisors
  • Bankrate — Consumer finance reviews
  • FINRA BrokerCheck — Not reviews per se, but public record that shows in searches
Industry-Specific Response Rules

Healthcare — HIPAA compliance (CRITICAL):

  • NEVER confirm or deny someone is a patient
  • NEVER reference diagnoses, treatments, medications, or appointments
  • NEVER share any Protected Health Information, even if the reviewer mentioned it first
  • Safe response pattern: "Thank you for your feedback. We take all patient experiences seriously. Please contact our office at [phone] to discuss your concerns."
  • Train ALL staff who might respond to reviews on HIPAA

Legal — Attorney-client privilege:

  • Similar to HIPAA — never confirm someone is/was a client
  • Don't reference case details, outcomes, or legal strategy
  • Check state bar advertising rules before using client testimonials in marketing

Home services — Photo responses:

  • Encourage customers to include photos of completed work in reviews
  • Respond with project details (general, not customer-specific): "That kitchen remodel was a great project — glad you love the tile work!"
  • Photo reviews are worth 3-5x a text-only review for conversion
Cadence Targets
Business SizeMonthly TargetRationale
Solo/small4-8 reviewsSteady growth without looking suspicious
Medium (5-20 employees)10-20 reviewsMatch competitor velocity
Large/multi-location20-50+ per locationEnterprise-level volume
What NOT to Do
  • Don't buy reviews — ever
  • Don't gate reviews (only sending happy customers to Google)
  • Don't use review kiosks in-office (same IP = flagged)
  • Don't incentivize with discounts or gifts
  • Don't write reviews yourself or have employees do it
  • Don't get 50 reviews in a week then zero for months
Show full SKILL.md (575 more words)Show less

Review Response Strategy

Why Respond to Every Review
  • Google confirms responses are a ranking factor
  • Shows future customers you're engaged
  • Opportunity to add keywords naturally
  • Turns negative experiences into recovery stories
Response Framework: Positive Reviews
  1. Thank them by name
  2. Mention the specific service they referenced
  3. Add a natural keyword/location reference
  4. Keep it genuine — vary your responses (don't copy-paste)

Example:

Thanks, Sarah! We're glad the AC installation went smoothly. Our Buffalo team takes pride in getting systems running before the summer heat. See you for your annual tune-up!

Response Framework: Negative Reviews
  1. Acknowledge: Thank them for the feedback
  2. Apologize: For the experience (not admitting fault)
  3. Take offline: Provide a direct contact for resolution
  4. Don't argue: Other customers are reading this

Example:

Hi Mark, thank you for sharing your experience. We're sorry the timeline didn't meet your expectations — that's not the standard we set for our customers. Please reach out to [name] at [phone] so we can make this right.

Response Timing
  • Positive: Within 24-48 hours
  • Negative: Within 4-12 hours (faster signals responsiveness)
  • Questions in reviews: Treat as Q&A, answer specifically

Handling Fake/Spam Reviews

Identification
  • Reviewer has no other reviews or photo
  • Review doesn't describe an actual experience
  • Reviewer was never a customer
  • Competitor leaving negative reviews
  • Review text is generic or nonsensical
Removal Process
  1. Flag the review in GBP (⋮ menu → Flag as inappropriate)
  2. Report via Google Business support
  3. Use the Google Reviews removal form with evidence
  4. If from a competitor, document the pattern
  5. Don't respond aggressively — respond professionally, then flag
When Removal Fails
  • Respond professionally for public record
  • Bury it with genuine positive reviews
  • Report repeatedly if it clearly violates guidelines
  • Consider legal options for defamatory reviews (last resort)

Review Monitoring

What to Track
  • New reviews across all platforms (weekly minimum)
  • Average rating trend
  • Review velocity vs. competitors
  • Keyword mentions in reviews
  • Response rate and response time
  • Sentiment trends
Tools
  • Google Business Profile notifications
  • Review aggregation tools (BirdEye, Podium, GatherUp)
  • Google Alerts for brand mentions
  • Manual platform checks weekly

Output Format

Review Strategy Document
  • Current review landscape (you vs. competitors)
  • Review generation plan with specific tactics
  • Response templates (customizable, not copy-paste)
  • Monitoring cadence and responsibility
  • 90-day targets

Task-Specific Questions

  1. How many Google reviews do you currently have?
  2. What's your current review velocity (reviews/month)?
  3. How many reviews do your top map pack competitors have?
  4. Who will be responsible for review responses?
  5. What's your primary method of customer communication (email, SMS, in-person)?

What to Do Next

What You FoundNext ActionSkill
Reviews improving but profile still not optimizedReviews amplify a strong profile — complete GBP optimizationgbp-optimization
Need to benchmark review count against competitorsRun competitive analysis focused on review metricslocal-competitor-analysis
Reviews are part of a broader auditFeed review findings into the full audit reportlocal-seo-audit
Review strategy running but rankings still weakReviews are one signal — run a geogrid scan to identify other gapsgeogrid-analysis
Need industry-specific review platform strategySee the Industry-Specific Review Platforms section above

Default next step: Set a 90-day review target (count + velocity). Measure monthly. If velocity drops, the generation process broke — fix the system, not the goal.

Tools for This Skill

See docs/tool-routing to pick based on what's connected.

  • Review monitoring (track reviews across platforms) → review monitoring tools (multiple options)
  • Review generation (automated request campaigns) → Whitespark Reputation Builder (primary option)
  • Review analysis (AI-powered sentiment and competitor comparison) → Local Falcon Reviews Analysis

© garrettjsmith, 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 garrettjsmith/localseoskills.

Open the folder on GitHubat commit 405ce20

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 skillgarrettjsmith/localseoskills121—~2.9kAutomated safety check: PassMIT
FLOW SEO FrameworkAgriciDaniel/claude-seo19k2 repos~1.4kAutomated safety check: PassMIT
Google Mapscablate/mcp-google-map469—~909Automated safety check: PassMIT
Google Maps Local SEOcablate/mcp-google-map469—~633Automated safety check: PassMIT
Google Maps Travel Planningcablate/mcp-google-map469—~710Automated safety check: PassMIT
Universal SEO AnalysisAgriciDaniel/claude-seo19k—~4.9kAutomated safety check: PassMIT

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Categories

Questions about Review Management

What does Review Management do?

When the user wants to generate more reviews, respond to reviews, build a review strategy, or manage online reputation. Review Management is an agent skill from garrettjsmith/localseoskills. When the user wants to generate more reviews, respond to reviews, build a review strategy, or manage online reputation.

When should I use Review Management?

Review Management fits situations like: wants to generate more reviews; respond to reviews; build a review strategy; manage online reputation.

How do I install Review Management in Claude Code?

Run `npx skills add garrettjsmith/localseoskills --skill review-management -a claude-code`. Or copy the skill folder (skills/review-management in garrettjsmith/localseoskills) 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 garrettjsmith/localseoskills --skill review-management -a codex`. Or copy the skill folder (skills/review-management in garrettjsmith/localseoskills) 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 garrettjsmith/localseoskills --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 names 1 domain. In commands or code: search.google.com; the agent is likely to contact it when it follows the instructions. 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 2.9k tokens (SKILL.md is roughly 12k 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: FLOW SEO Framework (AgriciDaniel/claude-seo, 19k stars), Google Maps (cablate/mcp-google-map, 469 stars), Google Maps Local SEO (cablate/mcp-google-map, 469 stars) and Google Maps Travel Planning (cablate/mcp-google-map, 469 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Review Management?

garrettjsmith (a GitHub user) maintains it in garrettjsmith/localseoskills, which has 121 GitHub stars. The repository holds 38 skills in this directory. The repository was last updated on August 15, 2026.

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