Customer Service Playbook Planner

A specialized skill for building high-performance service systems in customer support.

Install
cmdop skills install agensi-customer-service-playbook-planner

Customer Service Playbook Planner is a skill published by agensi that helps developers, operations managers, and support leads build structured operating standards for customer support organizations. It targets SaaS, ecommerce, and service businesses that need production-ready documentation rather than generic guidance.

The skill generates structured ticket taxonomies that map issue categories to priority levels (P0 through P3), assign owners, and specify required evidence. It produces SLA definitions, sentiment-aware response matrices, and escalation paths that define when a chatbot should hand off to a human agent. For risk management, it establishes explicit boundaries covering refunds, cancellations, and security incidents.

An included Python CLI can generate repeatable artifacts in JSON and Markdown formats. The same CLI supports automated QA scoring of support transcripts against a standardized rubric that checks agent responses for accuracy and policy compliance.

Output from the skill is designed for import into tools such as Zendesk, Intercom, or internal knowledge bases. The focus throughout is on deterministic, enforceable operating rules rather than conversational suggestions, making the artifacts usable directly in a production support workflow.

This skill does not expose MCP tools and has no environment variables to configure. It is a skill-type capability with no listed transport, package registry, or repository.

Use cases

  • Generate a tiered ticket taxonomy with P0-P3 priority mappings for a SaaS support team
  • Produce SLA definitions and escalation paths ready for import into Zendesk or Intercom
  • Define automated handoff rules specifying when a chatbot should escalate to a human agent
  • Score historical support transcripts against a QA rubric for policy compliance
  • Establish documented boundaries for refund and cancellation handling to reduce legal exposure
  • Create repeatable JSON or Markdown support playbook artifacts via the bundled Python CLI

When to use it

  • Building or formalizing a customer support operation for a SaaS, ecommerce, or service business
  • Needing structured, importable documentation for Zendesk, Intercom, or an internal knowledge base
  • Requiring automated QA scoring of agent transcripts against a defined policy rubric
  • Defining explicit escalation and handoff logic for a chatbot-to-human support workflow

When not to use it

  • Looking for a live database connector or MCP server — this skill has no tools and no transport
  • Needing real-time integration with a ticketing system via API calls
  • Support operations outside SaaS, ecommerce, or service business contexts, which are not the stated scope
  • Projects requiring a licensed or open-source package with a version number — none is listed