aftersale-sop

## Name

3,891 stars
Complexity: easy

About this skill

The `aftersale-sop` skill is designed to automate the creation of detailed after-sales service Standard Operating Procedures (SOPs). By taking specific inputs about a business, it generates a full suite of operational guidelines, including step-by-step return/exchange workflows, structured complaint handling protocols, clear escalation paths, service recovery methods, and compensation guidelines. This skill aims to standardize and optimize post-purchase support operations for various types of businesses. This skill is invaluable for companies looking to establish or refine their customer service infrastructure. It helps ensure consistency in service delivery, improves response times, and enhances customer satisfaction by providing well-defined processes for common and complex after-sales scenarios. Businesses can leverage this skill to quickly document policies, train new staff, and identify areas for process improvement without extensive manual effort. Users would employ this skill to build robust after-sales support frameworks from scratch or to audit and update existing ones. It's particularly useful for scaling businesses, those entering new markets, or companies facing high volumes of customer inquiries and complaints. By clearly outlining procedures and quality standards, it reduces ambiguity for customer service teams and provides a foundation for consistent, high-quality post-purchase interactions.

Best use case

The primary use case for `aftersale-sop` is to generate tailored and comprehensive after-sales service SOPs for businesses. Customer service managers, operations directors, and business owners will benefit most, as it allows them to quickly establish or refine detailed post-purchase support processes, ensuring consistent service quality, efficient issue resolution, and improved customer satisfaction across their organization.

## Name

A structured and comprehensive set of after-sales service Standard Operating Procedures, tailored to the provided business context.

Practical example

Example input

{"business_type": "Online fashion retail, global shipping", "return_policy": "30-day free returns for unworn items, 7-day exchange for defective goods", "team_structure": "Tier 1: 5 agents, Tier 2: 2 supervisors, Head of CS", "common_issues": "Wrong size, damaged upon arrival, missing items, delayed delivery", "service_standards": "Initial contact within 4 hours, resolution within 48 hours for standard issues"}

Example output

{"return_process": "1. Customer submits return request online. 2. Agent verifies eligibility and provides return label. 3. Item inspected upon receipt. 4. Refund processed within 5 business days for valid returns.", "complaint_sop": "1. Acknowledge within 1 hour. 2. Gather full details. 3. Investigate issue with relevant departments. 4. Propose resolution within 24 hours. 5. Follow up with customer.", "escalation_procedures": "Tier 1 handles standard queries. Escalate to Tier 2 for unresolved issues after 24 hours, complex complaints, or high-value returns. Head of CS for critical complaints or legal concerns.", "service_recovery": "Apology, expedited resolution, discount on future purchase, or complimentary gift.", "compensation_matrix": "Full refund for defective/wrong items. Partial refund or store credit for minor inconveniences. Expedited shipping for delivery delays.", "quality_standards": "CSAT score > 85%, FCR > 70%, AHT < 10 mins.", "training_materials": "Modules on return policy, complaint handling, de-escalation techniques, and product knowledge."}

When to use this skill

  • To establish new after-sales service procedures from the ground up.
  • To standardize and refine existing customer support workflows across different teams or regions.
  • To create training materials for new customer service agents quickly.
  • To audit and improve current after-sales policies and efficiency.

When not to use this skill

  • When only minor adjustments to a very specific policy are needed, rather than a comprehensive SOP generation.
  • If the business does not have after-sales service requirements (e.g., purely informational websites).
  • For real-time customer interaction or direct problem-solving, as this skill focuses on *generating procedures*, not executing them.

Installation

Claude Code / Cursor / Codex

$curl -o ~/.claude/skills/aftersale-sop/SKILL.md --create-dirs "https://raw.githubusercontent.com/openclaw/skills/main/skills/1970168137/aftersale-sop/SKILL.md"

Manual Installation

  1. Download SKILL.md from GitHub
  2. Place it in .claude/skills/aftersale-sop/SKILL.md inside your project
  3. Restart your AI agent — it will auto-discover the skill

How aftersale-sop Compares

Feature / Agentaftersale-sopStandard Approach
Platform SupportNot specifiedLimited / Varies
Context Awareness High Baseline
Installation ComplexityeasyN/A

Frequently Asked Questions

What does this skill do?

## Name

How difficult is it to install?

The installation complexity is rated as easy. You can find the installation instructions above.

Where can I find the source code?

You can find the source code on GitHub using the link provided at the top of the page.

Related Guides

SKILL.md Source

# aftersale-sop

## Name
After-Sales Service SOP

## Description
Comprehensive after-sales service standard operating procedures including退换货流程 (return/exchange processes), complaint escalation, service recovery, and compensation frameworks. Covers policy documentation, workflow design, quality standards, response timeframes, and customer satisfaction measurement for consistent, efficient post-purchase support operations.

## Input

| Name | Type | Required | Description |
|------|------|----------|-------------|
| business_type | text | Yes | Type of products/services sold |
| return_policy | text | Yes | Current return and exchange policy |
| team_structure | text | Yes | Customer service team organization |
| common_issues | text | Yes | Frequent after-sales scenarios |
| service_standards | text | Yes | Target response and resolution times |
| escalation_matrix | text | No | Current escalation procedures |

## Output

| Name | Type | Description |
|------|------|-------------|
| return_process | text | Step-by-step return/exchange workflow |
| complaint_sop | text | Complaint handling procedures |
| escalation_procedures | text | Clear escalation paths and criteria |
| service_recovery | text | Service failure recovery protocols |
| compensation_matrix | text | Compensation guidelines by scenario |
| quality_standards | text | Service quality metrics and monitoring |
| training_materials | text | CS team training content |

## Example

### Input
```json
{
  "business_type": "Consumer electronics, 30-day return policy",
  "return_policy": "30 days unused, 14 days defective exchange",
  "team_structure": "Tier 1: 10 agents, Tier 2: 3 specialists, Manager",
  "common_issues": "Defective products, wrong items, buyer's remorse",
  "service_standards": "First response 2 hours, resolution 24 hours"
}
```

### Output
```json
{
  "return_process": "1. Verify eligibility, 2. Issue RMA, 3. Receive item, 4. Process refund",
  "complaint_sop": "Acknowledge in 1hr, investigate in 4hrs, resolve in 24hrs",
  "escalation_procedures": "Tier 2: >$500 value, Manager: legal threat, repeat complaint",
  "service_recovery": "Empower agents to offer up to $50 credit without approval",
  "compensation_matrix": "Shipping error: $10 credit, Defective: Full refund + $20 credit",
  "quality_standards": "CSAT >85%, First contact resolution >70%, Response time <2hrs",
  "training_materials": "Product knowledge, empathy scripts, de-escalation techniques"
}
```

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