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1970168137

Aftersale Sop

by 走过 · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ✓ Security Clean
225
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1
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Install in OpenClaw
/install aftersale-sop
Description
Provides standardized after-sales procedures covering returns, complaints, escalation, service recovery, compensation, quality metrics, and team training mat...
README (SKILL.md)

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

{
  "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

{
  "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 \x3C2hrs",
  "training_materials": "Product knowledge, empathy scripts, de-escalation techniques"
}
Usage Guidance
This skill is instruction-only and appears internally consistent. Before installing, consider: (1) review the specific inputs you provide—avoid submitting customer PII, passwords, or sensitive tokens into the prompt; (2) treat generated SOPs as templates that should be reviewed for legal, regulatory, and company-policy compliance; (3) since the skill can be invoked by the agent, ensure your agent usage policies match your acceptance of automated generation of operational procedures.
Capability Analysis
Type: OpenClaw Skill Name: aftersale-sop Version: 1.0.0 The skill bundle contains only metadata and documentation (SKILL.md) for generating after-sales service standard operating procedures. There is no executable code, and the instructions are purely descriptive of the business logic for creating SOP documents, with no evidence of malicious intent or prompt injection.
Capability Assessment
Purpose & Capability
The name/description (after-sales SOPs) aligns with the SKILL.md inputs and outputs. All required inputs are plausible for generating SOPs and no unrelated capabilities or credentials are requested.
Instruction Scope
SKILL.md contains structured input/output fields and examples; it instructs the agent only to use provided business inputs to generate SOP text. It does not direct reading files, accessing environment variables, calling external endpoints, or collecting unrelated data.
Install Mechanism
No install spec and no code files are present (instruction-only). Nothing is written to disk or fetched during install.
Credentials
The skill declares no environment variables, credentials, or config paths. The inputs it requires are business data relevant to its purpose and do not include secrets or unrelated tokens.
Persistence & Privilege
always is false and the skill is user-invocable. It does not request persistent system presence or modifications to other skills or agent-wide settings.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install aftersale-sop
  3. After installation, invoke the skill by name or use /aftersale-sop
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
Initial release of aftersale-sop: - Provides standardized after-sales service SOPs covering returns, complaint handling, escalation, service recovery, compensation, quality monitoring, and training. - Accepts core business, policy, and team information as inputs to generate tailored workflows and guidelines. - Outputs clear procedures and metrics for consistent, efficient post-purchase support.
Metadata
Slug aftersale-sop
Version 1.0.0
License MIT-0
All-time Installs 0
Active Installs 0
Total Versions 1
Frequently Asked Questions

What is Aftersale Sop?

Provides standardized after-sales procedures covering returns, complaints, escalation, service recovery, compensation, quality metrics, and team training mat... It is an AI Agent Skill for Claude Code / OpenClaw, with 225 downloads so far.

How do I install Aftersale Sop?

Run "/install aftersale-sop" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is Aftersale Sop free?

Yes, Aftersale Sop is completely free, licensed under MIT-0. You can download, install and use it at no cost.

Which platforms does Aftersale Sop support?

Aftersale Sop is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created Aftersale Sop?

It is built and maintained by 走过 (@1970168137); the current version is v1.0.0.

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