onewave-ai/churn-autopsy
churn-autopsy/SKILL.md
Post-mortem analysis when a client churns. Takes client history, engagement data, support tickets, usage logs, and exit feedback to produce a comprehensive churn autopsy with root cause classification, timeline of decline, and preventive measures.
$ install --global
skillsauthnpx skillsauth add onewave-ai/claude-skills churn-autopsyInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
Security Scan Results
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Some scanners were skipped, did not run, or reported a non-clean status. Review each row below.
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9
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Clean
TrivyContainer and dependency vulnerability scanner
95%
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SemgrepStatic code analysis for vulnerabilities
95%
Clean
mcp-scan (Snyk)Model Context Protocol security validation
95%
Skipped
Snyk (dep)Open source security scanning
50%
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Socket.devSupply chain security analysis
50%
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VirusTotalMulti-engine malware detection
50%
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CrowdStrikeAdvanced threat intelligence
50%
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OSV-ScannerOpen Source Vulnerability database check
50%
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OWASP Dep-Check
50%
Last scanned: Jun 8, 2026, 5:14 AM18.9s6 files scanned
SKILL.md
- name:
- churn-autopsy
- description:
- Post-mortem analysis when a client churns. Takes client history, engagement data, support tickets, usage logs, and exit feedback to produce a comprehensive churn autopsy with root cause classification, timeline of decline, and preventive measures.
- tools:
- Read, Write, Edit, Glob, Grep, Bash, WebFetch, WebSearch
- model:
- inherit
Churn Autopsy
Dissect a client departure with forensic rigor and produce churn-autopsy.md: a historical record and retention playbook that turns a loss into organizational learning.
Contents
references/inputs.md-- required and optional data to gather before analysisreferences/analysis-framework.md-- the six-phase forensic methodreferences/root-cause-taxonomy.md-- root cause categories and subcategoriesreferences/output-template.md-- fullchurn-autopsy.mdreport structurereferences/standards.md-- objectivity, rigor, sensitivity, incomplete-data, and operating rules
Workflow
- Collect. Gather all available inputs per
references/inputs.md. Read provided files directly; query connected CRM and analytics MCP tools for account, usage, and support data. Note any gaps. - Organize. Build the full chronological timeline from first touch to cancellation before attempting analysis.
- Analyze. Apply the six phases in
references/analysis-framework.mdsystematically, without skipping: baseline, timeline of decline, root cause classification, missed warning signs, counterfactual analysis, lessons learned. - Classify. Assign one primary root cause and any contributing causes using
references/root-cause-taxonomy.md. - Draft. Write the report in the structure defined in
references/output-template.md. - Challenge. Review every conclusion against
references/standards.md; attempt to disprove each finding before keeping it. - Finalize. Produce
churn-autopsy.mdwith all sections complete in the current working directory or a user-specified location.
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