churn-analysis
Analyzes Stripe subscription churn — cancellations, ended subs, voluntary vs involuntary signals, and period-over-period trends. Use when the user mentions "churn", "cancellations", "subs leaving", "retention", or "why are we losing subscribers". Pair with past-due-dunning for payment-driven churn.
来源信息
- 仓库
- appeeky/stripe-skills
- 最近来源活动
- 2026年7月19日 10:10
- 检测到的 SKILL.md 语言
- 英语
- 星标
- 5
- 分支
- 1
安装方式
默认使用会先检查来源的 Prompt；你也可以切换为直接命令，或下载本地副本。
检查来源文件
决定是否安装前，请先阅读 SKILL.md，以及 SkillsMP 当前展示的配套文件。
正在显示 SKILL.md
SKILL.md
来源说明 · 只读预览- name
- churn-analysis
- description
- Analyzes Stripe subscription churn — cancellations, ended subs, voluntary vs involuntary signals, and period-over-period trends. Use when the user mentions "churn", "cancellations", "subs leaving", "retention", or "why are we losing subscribers". Pair with past-due-dunning for payment-driven churn.
- metadata
- {"version":"1.0.0"}
# Churn Analysis
## Stripe MCP Setup
Requires **Stripe MCP** connected via OAuth or restricted key. Docs: https://docs.stripe.com/mcp
1. `GetMcpTools` with `server: "user-Stripe"` (or `plugin-stripe-stripe`) before any call
2. Prefer `stripe_api_search` → `stripe_api_details` → `stripe_api_read` for list/retrieve
3. **Always paginate** — `limit: 100`, follow `has_more` with `starting_after`
4. Amounts are in **cents** unless noted
5. Never expose secret keys in output
## Workflow
1. **Snapshot** active + past_due counts (today) via `GetSubscriptions`
2. **Canceled in period** — list subscriptions with `status: canceled` created or canceled in window
- Use `search_stripe_resources`: `subscriptions:status:"canceled"` (note 100 cap — supplement with API list + filter)
3. **Classify churn**
| Type | Signal |
|------|--------|
| Voluntary | `cancellation_details.reason`, user canceled, feedback |
| Involuntary | Was `past_due` → `canceled`, `invoice.payment_failed` |
| Payment method | Debit/prepaid + failed charges |
4. Retrieve sample canceled subs: `GetSubscriptionsSubscriptionExposedId` with expand `cancellation_details`
## Churn Rate (approximate)
```
Monthly churn % ≈ canceled_in_30d / (active_start + new_in_30d) × 100
```
Benchmark: < 5% monthly good for SMB SaaS; < 2% excellent.
## Output Template
```
Churn Report ([period])
Canceled: [N]
Est. monthly churn: [X]%
Voluntary: [N] | Involuntary: [N]
Top cancel reasons (from cancellation_details):
1. [reason] — [n]
Recommendations:
1. [action] → skill: [name]
```
Cross-check `payment-failure-audit` if involuntary > 40% of churn.
在 GitHub 查看