mcpbeat

Churn Autopsy

onewave-ai/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.

6k tokens
context cost
the whole folder, loaded on every use
6
files
instructions only
0
copies elsewhere
how many repositories repackaged it
235
stars on the repo
on the repository, not the skill itself

Install

one command, takes just this skill from the repository 
npx skills add https://github.com/OneWave-AI/claude-skills --skill churn-autopsy

The instruction itself

3 sections, as written by the author

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

  • 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.md systematically, 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.md with all sections complete in the current working directory or a user-specified location.

How to use it

Copy the folder

Take onewave-ai/churn-autopsy from the repository into ~/.claude/skills for personal use, or into .claude/skills inside a project.

Check the name does not clash

The agent identifies a skill by the name field in its header. Two skills with the same name cannot sit side by side — one of them will be ignored.