skillZs
★ LIVE SKILL TAGS ★
>>> LIVE SKILLS INDEX <<<
* OPEN SOURCE *
NO LOGIN, NO TRACKING
※ REAL INSTALL DATA ※
← back to all skills
onewave-ai/claude-skills209 installs

churn-autopsy

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.

How do I install this agent skill?

npx skills add https://github.com/onewave-ai/claude-skills --skill churn-autopsy
view source ↗

Is this agent skill safe to install?

  • Gen Agent Trust Hubpass

    The churn-autopsy skill is a professional forensic tool for analyzing client churn. While functionally safe for its intended purpose, it carries a low risk of indirect prompt injection because it processes raw external data, such as support tickets and client feedback, using powerful tools like Bash and WebFetch without explicit sanitization or boundary markers.

  • Socketpass

    No alerts

  • Snykwarn

    Risk: MEDIUM · 1 issue

What does this agent skill do?

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 analysis
  • references/analysis-framework.md -- the six-phase forensic method
  • references/root-cause-taxonomy.md -- root cause categories and subcategories
  • references/output-template.md -- full churn-autopsy.md report structure
  • references/standards.md -- objectivity, rigor, sensitivity, incomplete-data, and operating rules

Workflow

  1. 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.
  2. Organize. Build the full chronological timeline from first touch to cancellation before attempting analysis.
  3. Analyze. Apply the six phases in references/analysis-framework.md systematically, without skipping: baseline, timeline of decline, root cause classification, missed warning signs, counterfactual analysis, lessons learned.
  4. Classify. Assign one primary root cause and any contributing causes using references/root-cause-taxonomy.md.
  5. Draft. Write the report in the structure defined in references/output-template.md.
  6. Challenge. Review every conclusion against references/standards.md; attempt to disprove each finding before keeping it.
  7. Finalize. Produce churn-autopsy.md with all sections complete in the current working directory or a user-specified location.

Add the canonical catalog link to the repository README so users can inspect current installs and available audits. The publishing guide covers the complete discovery path.

<a href="https://skillzs.dev/skills/onewave-ai/claude-skills/churn-autopsy">View churn-autopsy on skillZs</a>