returns-authorization-processor

Automated return authorization and routing skill optimizing return paths and customer experience

509 stars

Best use case

returns-authorization-processor is best used when you need a repeatable AI agent workflow instead of a one-off prompt.

Automated return authorization and routing skill optimizing return paths and customer experience

Teams using returns-authorization-processor should expect a more consistent output, faster repeated execution, less prompt rewriting.

When to use this skill

  • You want a reusable workflow that can be run more than once with consistent structure.

When not to use this skill

  • You only need a quick one-off answer and do not need a reusable workflow.
  • You cannot install or maintain the underlying files, dependencies, or repository context.

Installation

Claude Code / Cursor / Codex

$curl -o ~/.claude/skills/returns-authorization-processor/SKILL.md --create-dirs "https://raw.githubusercontent.com/a5c-ai/babysitter/main/library/specializations/domains/business/logistics/skills/returns-authorization-processor/SKILL.md"

Manual Installation

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

How returns-authorization-processor Compares

Feature / Agentreturns-authorization-processorStandard Approach
Platform SupportNot specifiedLimited / Varies
Context Awareness High Baseline
Installation ComplexityUnknownN/A

Frequently Asked Questions

What does this skill do?

Automated return authorization and routing skill optimizing return paths and customer experience

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.

SKILL.md Source

# Returns Authorization Processor

## Overview

The Returns Authorization Processor automates return authorization and routing decisions to optimize return paths and enhance customer experience. It validates return eligibility, selects optimal return methods, and detects potential fraud while maintaining customer satisfaction.

## Capabilities

- **Return Eligibility Validation**: Verify return eligibility based on policy rules, purchase date, and product condition
- **Return Reason Classification**: Categorize and analyze return reasons for trend identification
- **Return Method Selection**: Recommend optimal return method (carrier pickup, store drop-off, scheduled pickup)
- **Label Generation Automation**: Automatically generate return shipping labels with appropriate routing
- **Return Tracking Provision**: Provide return tracking capabilities from initiation to processing
- **Refund Timing Estimation**: Estimate and communicate expected refund processing timelines
- **Fraud Detection Screening**: Screen returns for fraud indicators and flag suspicious patterns

## Tools and Libraries

- OMS APIs
- Return Label Generation Services
- Fraud Detection Tools
- Customer Communication Platforms

## Used By Processes

- Reverse Logistics Management
- Returns Processing and Disposition
- Warranty Claims Processing

## Usage

```yaml
skill: returns-authorization-processor
inputs:
  return_request:
    order_id: "ORD-2026-12345"
    customer_id: "CUST-98765"
    items:
      - sku: "SKU001"
        quantity: 1
        reason_code: "defective"
        description: "Product stopped working after 2 weeks"
    original_purchase_date: "2026-01-05"
    original_amount: 149.99
  customer_profile:
    return_history:
      returns_last_12_months: 2
      return_rate_percent: 8
    customer_tier: "gold"
  return_policy:
    return_window_days: 30
    condition_requirements: ["original_packaging", "all_accessories"]
    free_return_threshold: 50.00
outputs:
  authorization:
    rma_number: "RMA-2026-54321"
    status: "approved"
    eligibility:
      within_return_window: true
      policy_compliant: true
      fraud_risk: "low"
  return_method:
    recommended_method: "carrier_pickup"
    carrier: "UPS"
    pickup_date_options: ["2026-01-26", "2026-01-27", "2026-01-28"]
    label_url: "https://returns.example.com/label/RMA-2026-54321"
    return_location: "Returns Center - Columbus, OH"
  refund_estimate:
    refund_amount: 149.99
    refund_method: "original_payment"
    estimated_processing_days: 5
    estimated_refund_date: "2026-02-03"
  customer_communication:
    confirmation_email_sent: true
    tracking_url: "https://returns.example.com/track/RMA-2026-54321"
  fraud_analysis:
    risk_score: 15
    risk_level: "low"
    flags: []
```

## Integration Points

- Order Management Systems (OMS)
- Customer Service Platforms
- Carrier Integration (label generation)
- Fraud Detection Systems
- Refund Processing Systems

## Performance Metrics

- Return authorization time
- Customer satisfaction (CSAT)
- Fraud detection rate
- Return processing cycle time
- Return rate by reason

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