Skip to content
cccskills
FreePublished on GitHub

reputation-recovery

Build a phased reputation recovery plan after a crisis — from damage assessment through stakeholder communication, trust-rebuilding actions, and sentiment tracking. Use when: rebuilding brand reputation post-crisis, designing a public apology and accountability strategy, creating stakeholder-specific recovery communications, tracking sentiment recovery metrics, planning a PR damage-control roadmap, or recovering from a data breach, product recall, or public backlash.

The English summary is being prepared. Showing the original description.

guia-matthieu/clawfu-skills150 stars(GitHub 150 + cccskills 0)

Run score Not tested

See how to install

Files included (1)

  • SKILL.md6.5 KB

SKILL.md (original)

Review the instructions the agent will receive before you install.

Reputation Recovery

Build a phased reputation recovery plan after a crisis — from damage assessment through stakeholder communication, trust-rebuilding actions, and sentiment tracking.

When to Use This Skill

  • Post-crisis reputation rebuilding (product recall, data breach, PR incident)
  • Trust restoration with customers, employees, investors, or public
  • Designing accountability communications (CEO apology, incident reports)
  • Stakeholder-specific recovery planning with prioritized outreach
  • Tracking recovery metrics against pre-crisis baselines

Methodology Foundation

AspectDetails
SourceEdelman Trust Barometer, Burson reputation recovery frameworks
Core PrincipleTrust rebuilds through actions, not words — transparency, accountability, competence, then character, in that order
Recovery PhasesStabilize → Acknowledge → Act → Communicate → Measure

What Claude Does vs What You Decide

Claude DoesYou Decide
Designs phased recovery roadmap with timelinesInvestment level and resource allocation
Drafts stakeholder communications and apology frameworksSpokesperson selection and timing
Creates measurement dashboards and recovery criteriaAcceptable recovery timeline
Prioritizes stakeholder groups and actionsWhich initiatives to fund

Instructions

Step 1: Assess Reputation Damage

Build a damage baseline across key dimensions:

DimensionPre-CrisisPost-CrisisGap
Trust score———
NPS———
Brand sentiment (% positive)———
Media tone———
Customer retention———

Validation checkpoint: If you lack pre-crisis baselines, estimate from industry benchmarks before proceeding.

Step 2: Map Recovery Phases

PhaseDurationFocusExit Criteria
StabilizeWeeks 1-2Stop the bleeding, full accountabilityCrisis chapter closed, compensation launched
RebuildMonths 1-3Demonstrate concrete structural changesNew processes in place, advisory board active
DemonstrateMonths 3-6Build track record, earn positive coverage3 months positive media, trust at 80% baseline
SustainMonth 6+Long-term reputation buildingMeet all recovery completion criteria

Step 3: Prioritize Stakeholders

StakeholderPriorityKey ConcernApproach
CustomersP1Trust, safetyTransparency + compensation
EmployeesP1Job security, prideInternal comms + involvement
InvestorsP2Financial impactRecovery plan + milestones
PartnersP2Association riskAssurance + collaboration
RegulatorsP2ComplianceCooperation + prevention
PublicP3Values alignmentActions over words

Step 4: Execute Trust-Rebuilding Actions

Apply the trust-rebuilding sequence (order matters):

Action TypeExamplesTimeline
TransparencyFull incident report, public updates, data accessImmediate
AccountabilityCEO apology, personnel changes, compensationWeek 1-2
CompetenceNew processes, third-party audits, team expansionMonth 1-3
CharacterValues-aligned initiatives, sustained behavior changeOngoing

CEO apology framework: Direct acknowledgment → What went wrong → What we've done → What we're doing → Personal accountability → How to reach us.

Step 5: Track Recovery

MetricFrequencyTarget
Brand sentimentWeeklyReturn to baseline
Trust scoreMonthly80% of pre-crisis
NPSMonthlyReturn to positive
Media toneWeeklyNeutral → positive
Customer retentionMonthlyPre-crisis rate

Recovery completion criteria:

  • Trust score at 90% of pre-crisis level
  • Customer retention at pre-crisis rate
  • 3 consecutive months of positive media tone
  • NPS back to positive

Examples

Example: Product Safety Incident Recovery

Input: Product safety incident, 3 weeks in crisis mode, 30% trust drop, 15% churn, issue resolved.

Recovery roadmap:

MonthPhaseKey Actions
1StabilizeCEO video apology, full incident report, compensation program, employee town hall
1-3RebuildSafety team +3 hires, external advisory board, quarterly third-party audits
3-6DemonstratePublic safety reports, customer testimonials, thought leadership content
6+SustainOngoing transparency reports, industry standards participation

Projected timeline: 6-9 months to full recovery with aggressive action.

See TEMPLATES.md for communication templates (CEO apology script, milestone update emails, stakeholder briefing outlines).

Skill Boundaries

What This Skill Does Well

  • Creating phased recovery roadmaps with concrete timelines
  • Designing stakeholder-specific communication strategies
  • Defining measurable recovery criteria and dashboards
  • Prioritizing trust-rebuilding actions in effective order

What This Skill Cannot Do

  • Access real-time sentiment data or social listening feeds
  • Know the specific details of your crisis without input
  • Predict exact recovery timelines (every crisis is unique)
  • Replace legal counsel or professional crisis management firms

References

  • Edelman Trust Barometer — annual trust research
  • Burson Reputation Recovery — crisis framework
  • Weber Shandwick Crisis Recovery — communications methodology
  • Harvard Business Review — trust research

Related Skills

  • crisis-detector — Prevention and early warning
  • response-coordinator — During active crisis
  • social-listening — Monitoring recovery sentiment

Reviews

No reviews yet. Tell others what you thought.

Comments

No login needed. Share how it worked for you, ask a question, or note where it did not run.

No comments yet. Be the first to write one.

Comments are published right away. Do not include personal information such as email addresses or phone numbers. Up to 2 URLs.

0 / 1,000 characters

This form is protected by reCAPTCHA, and the Google Privacy Policy and Terms of Service apply.

More skills from this repository

Measure and optimize growth using the AARRR (Pirate Metrics) framework with stage-specific KPIs and funnel analysis

The English summary is being prepared. Showing the original description.

guia-matthieu/clawfu-skills150Updated Oct 1, 2026

Calculate A/B test statistical significance. Use when: determining if test results are significant; calculating required sample size; estimating test duration; analyzing conversion experiments; making data-driven decisions

The English summary is being prepared. Showing the original description.

guia-matthieu/clawfu-skills150Updated Oct 1, 2026

Assess customer account health using product usage, support sentiment, payment status, and relationship signals

The English summary is being prepared. Showing the original description.

guia-matthieu/clawfu-skills150Updated Oct 1, 2026

Analyze paid advertising performance across channels and recommend budget reallocation to maximize ROAS and minimize CAC. Use when: planning quarterly ad budget allocation, diagnosing underperforming ad channels, deciding whether to scale spend on a channel, calculating marginal ROI across Google Ads, Meta, LinkedIn, or TikTok, rebalancing media mix after performance shifts, or setting up a test-and-scale framework for new channels.

The English summary is being prepared. Showing the original description.

guia-matthieu/clawfu-skills150Updated Oct 1, 2026

Use when testing skills, commands, or agents for quality. Use after creating new skills, before deploying agents, or when debugging inconsistent agent behavior. Triggers on "evaluate", "test quality", "is this skill working", or QA of AI workflows.

The English summary is being prepared. Showing the original description.

guia-matthieu/clawfu-skills150Updated Oct 1, 2026

Use when analyzing server logs to understand how AI crawlers (GPTBot, ClaudeBot, PerplexityBot) interact with your site. Use when optimizing content placement for LLM retrieval, diagnosing why AI search isn't citing your content, or auditing crawl patterns to find optimization gaps.

The English summary is being prepared. Showing the original description.

guia-matthieu/clawfu-skills150Updated Oct 1, 2026

See all skills by guia-matthieu

Report a problem with this skill