reputation-management
Full reputation playbook: FTC-compliant review generation, negative-review response frameworks, 3-tier crisis communication with a 72-hour severe-crisis timeline, 4-layer brand safety assessment, sentiment monitoring design, and 30/60/90-day recovery plans — delivered as ready-to-use plans, drafted…
Install / Use
npx skills add indranilbanerjee/digital-marketing-pro --skill reputation-managementInstalls into whichever agent you are using.
SKILL.md
Installable skill definition
Quality Score
Category
OperationsSupported Platforms
Our assessment of reputation-management
reputation-management scores 85/100 on our quality scale, 497th of 734 Operations skills we index.
Its SKILL.md is 20 KB long, well organised into 25 sections and no code examples: a thorough specification that gives an agent plenty to work with.
It has 832 GitHub stars, a meaningful sign that others use it.
Maintenance, license and trust
- The repository was last updated 26 days ago, so reputation-management is actively maintained.
- It is released under the MIT license, a permissive license that allows use, modification and commercial use with attribution.
- Its trust signals score 100/100, with no cautions. These come from repository metadata, not a code audit — read the skill file before letting an agent act on it.
reputation-management compared with similar skills
All 4 of these similar skills score higher than reputation-management; compare them before choosing.
| Skill | Score | Stars | Updated | Format |
|---|---|---|---|---|
| reputation-management (this skill)by indranilbanerjee | 85 | 832 | 26d ago | SKILL.md |
| Agent-Reachby Panniantong | 100 | 90.1k | 18d ago | CLAUDE.md |
| algorithmic-artby anthropics | 100 | 177.9k | 11d ago | SKILL.md |
| pptxby anthropics | 100 | 177.9k | 11d ago | SKILL.md |
| designby nextlevelbuilder | 100 | 130.2k | 12d ago | SKILL.md |
Frequently asked questions
- How do I install reputation-management?
- Run
npx skills add indranilbanerjee/digital-marketing-pro --skill reputation-management. The install tabs above show the steps for each supported agent. - Which AI agents does reputation-management work with?
- It is written for Universal, as a SKILL.md file. Other agents that read the same format can often use it too.
- Is reputation-management safe to use?
- It is MIT-licensed and scores 100/100 on trust signals. Skills are instructions an agent will follow, so read the file before installing it and do not approve commands you do not understand.
- Is reputation-management still maintained?
- The repository was last updated 26 days ago, so reputation-management is actively maintained.
Skill content
View source on GitHubname: reputation-management description: "Full reputation playbook: FTC-compliant review generation, negative-review response frameworks, 3-tier crisis communication with a 72-hour severe-crisis timeline, 4-layer brand safety assessment, sentiment monitoring design, and 30/60/90-day recovery plans — delivered as ready-to-use plans, drafted responses, and audits. Triggers on "/digital-marketing-pro:reputation-management", "we're getting hit with negative reviews", "prepare a crisis communication plan", "how do we get more Google reviews", "someone is spreading misinformation about us". Reads the brand profile, guidelines, and compliance rules; it plans and drafts — it does not post responses or monitor platforms itself. For a single review reply, /digital-marketing-pro:review-response is the focused sibling."
Reputation Management
When to Use This Skill
Activate this skill when the user's request involves any of the following:
- Generating more customer reviews or managing existing reviews across platforms
- Responding to negative reviews (Google, Yelp, G2, Capterra, Trustpilot, Amazon, BBB, industry-specific sites)
- Preparing for or responding to a brand crisis (product recall, executive scandal, data breach, viral complaint, lawsuit)
- Assessing and mitigating brand safety risks in advertising and partnerships
- Monitoring brand sentiment across social media, review platforms, and press
- Building a reputation recovery plan after a negative event
- Handling negative press, unfavorable search results, or misinformation
- Managing employee reviews on platforms like Glassdoor or Indeed
- Designing proactive reputation-building strategies
- Evaluating brand safety settings for ad placements and content adjacency
- Navigating legal constraints on reputation responses (defamation, HIPAA, regulated industries)
- Addressing fake review attacks or review manipulation by competitors
Brand Context (Auto-Applied)
Before producing any marketing output from this module:
- Check session context — The active brand summary was output at session start. Use the brand name, industry, voice settings, channels, goals, compliance, and competitors shown there.
- If you need the full profile, read:
~/.claude-marketing/brands/{slug}/profile.json - Apply brand voice — Formality, energy, humor, authority levels must shape all content tone and word choices
- Check compliance — Auto-apply rules for brand's target_markets and industry using
skills/context-engine/compliance-rules.md - Reference industry benchmarks — Consult
skills/context-engine/industry-profiles.mdfor the brand's industry - Use platform specs — Reference
skills/context-engine/platform-specs.mdfor character limits and format requirements - Check campaign history — Run
python "${CLAUDE_PLUGIN_ROOT}/scripts/campaign-tracker.py" --brand {slug} --action list-campaignsbefore planning new work - If no brand exists, say: "No brand profile found. Use /digital-marketing-pro:brand-setup to create one, or I can proceed with general best practices."
- Check brand guidelines — If
~/.claude-marketing/brands/{slug}/guidelines/_manifest.jsonexists, load and enforce:restrictions.mdfor banned words, restricted claims, and mandatory disclaimers;channel-styles.mdfor channel-specific tone overrides (may differ from base voice);messaging.mdfor approved key messages, taglines, and positioning language;voice-and-tone.mdfor detailed voice rules beyond the 4 numeric scores. If producing content for a specific channel, channel style rules take precedence over base voice settings.
Do not ask the user for information that already exists in their brand profile.
Required Context
Before executing, gather the following from the user (ask if not provided):
- Current situation: Is this proactive reputation building, reactive crisis response, or ongoing reputation maintenance?
- Severity level: For crisis situations, what is the scope and intensity? (Single negative review, trending negative conversation, press coverage, legal action)
- Industry: Needed for compliance constraints (healthcare/HIPAA, finance/FINRA, legal/bar rules, government)
- Platform landscape: Which review platforms and social channels are most relevant to the business
- Current review profile: Average rating, review volume, review trend, and response rate
- Brand voice: Tone and communication style guidelines
- Stakeholders: Who needs to be involved in approvals (legal, PR, C-suite, customer service)
- Existing monitoring: What tools or processes are in place for sentiment tracking
- History: Any past crises or reputation issues and how they were handled
- Resources: Team capacity for review management, crisis response, and ongoing monitoring
Capabilities
Review Generation
- FTC-compliant solicitation: Ask for reviews without incentivizing positive reviews specifically. Incentives for leaving a review (not a positive review) require disclosure. Never gate reviews by satisfaction level (asking happy customers to review publicly while routing unhappy customers to private feedback is prohibited)
- Platform-specific timing: Google reviews (post-purchase/service completion), G2/Capterra (after meaningful product usage, typically 30-60 days), Amazon (post-delivery with review request button), Yelp (never directly solicit -- Yelp penalizes solicited reviews)
- Review request sequences: Email, SMS, in-app prompts, QR codes on receipts/packaging, post-interaction follow-ups
- Review volume strategy: Consistent review velocity matters more than spikes. Build automated review request flows triggered by key customer milestones
- Review platform prioritization: Focus efforts on platforms that influence purchase decisions for the specific industry (Google for local, G2 for SaaS, TripAdvisor for hospitality, Healthgrades for medical)
Negative Review Response Framework
- Response timing: Respond within 24 hours for public reviews. Speed demonstrates attentiveness. Delayed responses appear dismissive
- Response structure: Acknowledge the concern, apologize for the experience (not admitting fault), explain what happened if appropriate, offer a resolution, and move the conversation offline
- Tone calibration: Professional and empathetic regardless of review tone. Never argue, get defensive, or blame the customer publicly. The response is for future readers, not just the reviewer
- Legal review triggers: Know when a response requires legal review (threatened litigation, allegations of illegal activity, regulated industry topics, potential defamation claims)
- Follow-up protocol: After resolving the issue offline, politely ask if the customer would consider updating their review. Never demand or pressure
- Review disputes: Platform-specific processes for flagging fake, defamatory, or policy-violating reviews for removal
Crisis Communication (3-Tier Framework)
Tier 1 -- Minor Crisis (isolated complaint, single negative article, localized social media issue)
- Severity indicators: Limited reach, no media pickup, contained to one platform or conversation
- Response timeline: Respond within 24 hours with prepared acknowledgment
- Actions: Direct customer response, monitor for spread, prepare holding statement if needed
- Stakeholders: Customer service lead, social media manager
Tier 2 -- Moderate Crisis (trending complaint, multiple media outlets, influencer amplification, regional issue)
- Severity indicators: Growing reach, media inquiries, multiple customer complaints on the same issue, hashtag trending
- Response timeline: Public statement within 4 hours. Internal alignment within 2 hours
- Actions: Activate crisis team, issue holding statement, prepare full response, monitor real-time, brief executives
- Stakeholders: VP/Director of Marketing, PR team, legal counsel, customer service leadership
- Stakeholder messaging matrix: Different messages for customers (empathy + action), employees (facts + guidance), media (official statement), investors (impact assessment + response plan), partners (reassurance + timeline)
- Brand voice shift protocol: Move from standard marketing voice to crisis voice -- more human, more direct, less polished, zero humor, zero promotion
Tier 3 -- Severe Crisis (data breach, product safety issue, executive misconduct, viral outrage, regulatory action)
- Severity indicators: National/international media coverage, regulatory involvement, potential legal liability, significant customer impact
- Response timeline: Initial acknowledgment within 1 hour. Full response within 4 hours. Ongoing updates every 24-48 hours
- Actions: CEO-level response, legal coordination, regulatory notification (if required), customer notification, operational remediation, third-party investigation (if needed)
- 72-hour timeline: Hour 0-1 (acknowledge, assemble team), Hour 1-4 (fact-finding, holding statement), Hour 4-24 (detailed response, customer outreach, media statement), Hour 24-48 (operational updates, stakeholder briefings), Hour 48-72 (recovery plan announcement, ongoing communication cadence)
- Stakeholders: CEO/C-suite, general counsel, board of directors (if public company), PR agency, regulatory contacts
Brand Safety (4-Layer Framework)
Layer 1 -- Ad Placement Safety
- Ensuring ads do not appear alongside harmful, offensive, or brand-inappropriate content
- Platform-specific brand safety settings (Google content exclusions, Meta inventory filters, YouTube placement exclusions)
- Third-party verification tools (IAS, DoubleVerify) for programmatic environments
- Keyword exclusion lists and site exclusion lists
Layer 2 -- Association Safety
- Vetting partners, influencers, and sponsors for brand alignment and risk
- Due diligence on co-marketing partners, event sponsors, and media placements
- Ongoing monitoring of brand-associated entities for emerging controversies
Layer 3 -- Content Safety
- Ensuring brand-produced content does not inadvertently create brand safety issues
- Content review process for cultural sensitivity, inclusivity, and potential misinterpretation
- Social media post approval workflows and crisis-proofing content calendars
Layer 4 -- Data Safety
- Protecting customer data in marketing operations
- Compliance with GDPR, CCPA, and other privacy regulations in marketing contexts
- Vendor data handling assessments for marketing technology partners
Sentiment Monitoring Framework
- Monitoring scope: Social media mentions, review platforms, news/press, forums, employee review sites, search results
- Sentiment scoring: Positive, neutral, negative classification with intensity weighting
- Alert thresholds: Define spike thresholds that trigger escalation (e.g., 3x normal negative mention volume in 24 hours)
- Competitive benchmarking: Compare sentiment trends against key competitors
- Topic clustering: Group sentiment by theme (product quality, customer service, pricing, leadership) to identify systemic issues
- Trend analysis: Weekly/monthly sentiment trend reports to identify gradual shifts before they become crises
Reputation Recovery Playbooks
30-Day Plan (Immediate Stabilization)
- Audit current reputation state across all platforms
- Respond to all outstanding negative reviews
- Launch review generation campaign to dilute negative content with fresh positive reviews
- Publish thought leadership or positive press content to improve search results
- Implement monitoring infrastructure if not already in place
60-Day Plan (Rebuilding)
- Execute content strategy targeting negative search results (SEO for reputation)
- Launch customer success stories and case study campaigns
- Engage in community outreach and corporate responsibility initiat
Truncated for display — read the full file on GitHub.
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Trust signals
From repository metadata: license, adoption, age and documentation. Not a code audit — see the Safety scan above for what the skill file itself contains.
