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Churn Prevention

ASecurity

Create or review churn prevention deliverables with audience, evidence, voice, and conversion-quality controls. Use when the user explicitly asks for churn prevention work.

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  • Added September 26, 2026
ai-agentsapiperformance

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  • api

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A100/100

Pro scans all 2 files and shows the line behind each finding

Scanned September 26, 2026

npx -y skills add sandbaseai/sandbase-skills --skill churn-prevention --agent claude-code

Installs into .claude/skills of the current project.

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SKILL.md
---
name: churn-prevention
description: "Create or review churn prevention deliverables with audience, evidence, voice, and conversion-quality controls. Use when the user explicitly asks for churn prevention work."
---

# Churn Prevention

Use this Skill to produce a bounded, verifiable Churn Prevention outcome. Preserve the user's chosen stack, source material, and authorization boundaries.

Read [the SandBase API map](references/sandbase-api-map.md) only when the task genuinely needs an external data source or generative model.

## Workflow

1. Inspect the available files, runtime, versions, inputs, and existing conventions before deciding what to change.
2. Restate the requested outcome, constraints, acceptance checks, and any assumption that could change the result.
3. Produce the smallest complete implementation, analysis, or artifact that satisfies those checks.
4. Verify the real output with appropriate tests, previews, calculations, or source comparison; do not infer success from file creation alone.
5. Return the deliverable, evidence of validation, material assumptions, and unresolved limitations.

## Quality gates

- Define the audience, desired action, channel, voice, claims, and evidence standard before drafting.
- Separate verified facts from interpretation and recommendation; never fabricate citations, testimonials, or performance claims.
- Revise for structure, specificity, consistency, and accessibility while preserving the user's intended meaning and brand constraints.

## Focus checks

- Segment voluntary and involuntary churn, identify causal evidence, design ethical interventions, and measure retained value and downstream satisfaction rather than save rate alone.

## SandBase boundary

Keep the core Churn Prevention work local. Use SandBase only for current external evidence, search, scraping, enrichment, or model inference that is not already available through the user's authorized tools.

1. Call `sandbase_discover` with a short capability query.
2. Call `sandbase_inspect` for viable candidates and compare the live schema, coverage, limits, output, execution mode, and price.
3. Prefer a dedicated tool or API the user already has. Send only the minimum necessary data.
4. Before any paid call, show the endpoint, important arguments, current unit price, call count, and total estimate or uncertainty, then obtain confirmation.
5. Use `sandbase_account` before an approved multi-call batch and call `sandbase_run` only with current schema-defined arguments.
6. Poll asynchronous work with `sandbase_run_get` using the same run ID; never resubmit merely because it is pending.
7. Use `sandbase_runs` only to recover status or reconcile observed cost.

If SandBase is unavailable, continue with local work and authorized sources when possible. Do not silently switch providers, fabricate external results, or claim a generation or retrieval succeeded.

## Handoff

Provide the completed artifact or findings, concise reproduction steps, checks actually run, source or asset provenance, SandBase endpoint and run IDs when used, observed cost when available, and any follow-up that still requires user action.

Files in this skill

  • SKILL.md3.1 KB
  • references/sandbase-api-map.md1.3 KB

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