mcpbeat

Cs Sop

asgard-ai-platform/cs-sop

Design customer service operations including tiered support (L1/L2/L3), response templates, SLA definitions, escalation procedures, and complaint handling. Use this skill when the user needs to set up a CS team, create service standards, design escalation flows, or improve response quality — even if they say 'our CS is a mess', 'how should we handle complaints', 'set up support tiers', or 'create CS SOPs'.

3k tokens
context cost
the whole folder, loaded on every use
2
files
instructions only
0
copies elsewhere
how many repositories repackaged it
223
stars on the repo
on the repository, not the skill itself

Install

one command, takes just this skill from the repository
npx skills add https://github.com/asgard-ai-platform/skills --skill cs-sop

What comes with it

6 154 bytes besides the instruction
examples/sample_scenario.md

The instruction itself

10 sections, as written by the author

Customer Service SOP

Framework

IRON LAW: Tier the Support, Not the Customer

Every customer deserves quality service. But not every issue needs a
senior specialist. Route by ISSUE COMPLEXITY, not by customer "importance."

L1 handles 70-80% of volume (simple, repeatable)
L2 handles 15-20% (requires expertise)
L3 handles 5% (requires engineering or management)

Three-Tier Support Model

| Tier | Handles | Skills Required | Resolution Target |

|------|---------|----------------|------------------|

| L1 (Basic) | FAQ, order status, password reset, simple returns | Script-following, product basics, empathy | < 5 minutes, first-contact resolution |

| L2 (Specialist) | Technical issues, billing disputes, complex returns, product defects | Deep product knowledge, judgment, negotiation | < 24 hours |

| L3 (Expert) | System bugs, legal/compliance, executive escalations, crisis | Engineering, legal, or management involvement | < 72 hours, case-by-case |

Case Categorization

| Category | Examples | Priority | SLA (First Response) |

|----------|---------|----------|---------------------|

| Critical | Service outage, security breach, safety issue | P1 | < 15 minutes |

| High | Payment failure, account locked, order error | P2 | < 1 hour |

| Medium | Product question, feature request, general complaint | P3 | < 4 hours |

| Low | Feedback, suggestion, general inquiry | P4 | < 24 hours |

Complaint Handling: LAST Framework

  • Listen: Let the customer express fully without interrupting
  • Apologize: Acknowledge their frustration sincerely ("I'm sorry this happened")
  • Solve: Offer a concrete solution or next step
  • Thank: Thank them for bringing it to your attention

Escalation Rules

| Trigger | Escalate To | Timeline |

|---------|-----------|---------|

| L1 can't resolve in 15 min | L2 | Immediate warm handoff |

| Customer requests supervisor | L2 or Team Lead | Within 5 minutes |

| Issue involves refund > NT$X | L2 (approval authority) | Same interaction |

| Legal threat or media mention | L3 + Legal + PR | Immediate |

| Repeat contact (3+ on same issue) | L2 + investigation | After 3rd contact |

Response Template Structure

[Greeting] Hi {name}, thank you for contacting us.

[Acknowledge] I understand you're experiencing {issue}.

[Action] Here's what I've done / Here's what we'll do:
1. {specific action}
2. {timeline}

[Next steps] {what the customer should expect / do next}

[Close] Is there anything else I can help you with?

Output Format

# Customer Service SOP: {Business}

## Support Tiers
| Tier | Scope | Team Size | Tools |
|------|-------|----------|-------|
| L1 | {scope} | {N people} | {tools} |
| L2 | {scope} | {N} | {tools} |
| L3 | {scope} | {N} | {tools} |

## SLA Targets
| Priority | First Response | Resolution | Escalation |
|----------|--------------|-----------|-----------|
| P1 | {time} | {time} | {to whom} |
| P2 | ... | ... | ... |

## Top 10 Contact Reasons
| # | Reason | Volume % | Resolution | Template? |
|---|--------|---------|-----------|----------|
| 1 | {reason} | {%} | L1/L2 | Y/N |

## Escalation Flowchart
{Decision tree for when to escalate}

## Quality Metrics
| Metric | Target |
|--------|--------|
| First Contact Resolution | > 70% |
| CSAT | > 4.2/5 |
| Avg Response Time | < {X} hours |
| Escalation Rate | < 20% |

Gotchas

  • SLAs must be MEASURABLE: "Respond quickly" is not an SLA. "First response within 1 hour for P2 tickets" is. If you can't measure it, you can't manage it.
  • Warm handoff > cold transfer: When escalating, the L1 agent should brief L2 before transferring. Forcing the customer to repeat their story destroys satisfaction.
  • Empower L1 with resolution authority: If L1 must escalate every refund, 70% of volume goes to L2 unnecessarily. Give L1 authority for refunds under a threshold (e.g., NT$500).
  • Templates are starting points, not scripts: Robotic copy-paste responses feel worse than no response. Agents should personalize templates to the specific situation.
  • Taiwan CS expectations: Taiwan customers expect fast LINE response (within minutes during business hours), polite and apologetic tone, and willingness to go the extra mile. The bar for "good service" is high.

References

  • For CSAT/NPS survey design, see the cs-analytics skill
  • For chatbot-human handoff design, see the cs-chatbot-design skill

How to use it

Copy the folder

Take asgard-ai-platform/cs-sop from the repository into ~/.claude/skills for personal use, or into .claude/skills inside a project.

Check the name does not clash

The agent identifies a skill by the name field in its header. Two skills with the same name cannot sit side by side — one of them will be ignored.