Handle customer billing issues with connected tools such as Stripe. Review subscriptions and invoices, classify the problem, address refunds or cancellations, and prepare a handoff with revenue impact, customer follow-up text, and product gaps.
中文简介正在准备中。当前显示英语简介。
Operate customer billing workflows such as subscriptions, refunds, churn triage, billing-portal recovery, and plan analysis using connected billing tools like Stripe. Use when the user needs to help a customer, inspect subscription state, or manage revenue-impacting billing operations.
安装前可以查看交给 AI 代理的指令内容。
Use this skill for real customer operations, not generic payment API design.
The goal is to help the operator answer: who is this customer, what happened, what is the safest fix, and what follow-up should we send?
Start from the strongest identifier available:
Return a concise identity summary:
Put the case into one bucket before acting:
| Case | Typical action |
|---|---|
| Duplicate personal subscription | cancel extras, consider refund |
| Real multi-seat/team intent | preserve seats, clarify billing model |
| Failed payment / incomplete checkout | recover via portal or update payment method |
| Missing self-serve controls | provide portal, cancellation path, or invoice access |
| Product failure or trust break | refund, apologize, log product issue |
Preferred order:
If the fix requires product work, separate:
If the customer pain comes from a missing operator surface, call it out explicitly. Common examples:
Treat those as ECC or website follow-up items, not just support incidents.
End with:
Use this structure:
CUSTOMER
- name / email
- relevant account identifiers
BILLING STATE
- active subscriptions
- invoice or renewal state
- anomalies
DECISION
- issue classification
- why this action is correct
ACTION TAKEN
- refund / cancel / portal / no-op
FOLLOW-UP
- short customer message
PRODUCT GAP
- what should be fixed in the product or website
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Design and audit interfaces for Web, iOS, and Android using WCAG 2.2 accessibility guidance. Check screen-reader labels, keyboard navigation, contrast, and control sizes to identify barriers and guide implementation for people using assistive technology.
中文简介正在准备中。当前显示英语简介。
Investigate unreliable AI agents across 12 layers, including instructions, memory, tool execution, and display. Use code and logs to trace failures, rank findings by severity, and produce an ordered repair plan that prioritizes code changes.
中文简介正在准备中。当前显示英语简介。
Compare coding agents on tasks from your own codebase. Define success checks, run agents in separate Git working directories, and report pass rates, available API costs, completion time, and consistency across repeated trials.
中文简介正在准备中。当前显示英语简介。
Design and refine an AI agent’s available actions, tool inputs, and result formats. Define recovery steps for errors, manage the information kept in context, and evaluate changes through completion rates, retries, and cost per successful task.
中文简介正在准备中。当前显示英语简介。
Diagnose failed AI agent runs by capturing errors, checking likely causes, and choosing small, reversible recovery actions. The workflow produces a structured report of the failure, recovery steps, and evidence, helping explain repeated retries or stalled progress.
中文简介正在准备中。当前显示英语简介。
Diagnose AI agent runs that fail repeatedly, loop through tools, or lose track of the task. Capture errors and environment details, test a focused recovery action, and produce a report explaining the evidence and outcome.
中文简介正在准备中。当前显示英语简介。