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    customer-service-playbook-planner

    Customer Service Playbook Planner

    by Roy Yuen

    Transform chaotic support into structured operations with playbooks, triage rules, and automated QA rubrics.

    Updated Jun 2026
    114 views
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    $7

    · or 35 credits

    30-day refund guarantee

    Secure checkout via Stripe

    Included in download

    • Design a P0-P3 ticket taxonomy with clear SLAs and ownership.
    • Generate a sentiment-response matrix to handle frustrated or angry customers.
    • Ready for Cursor
    • Includes example output and usage patterns
    • Instant install

    Sample input

    Define a P0 escalation rule for legal threats and payment exposure, including required evidence and customer messaging.

    Sample output

    P0 Escalation Rule: Trigger: Legal threat or Payment Exposure. Action: Immediate handoff to Finance/Legal. Required Evidence: Screenshot of transaction ID + Legal notice text. Customer Update: "We have received your report and escalated it to our security leads for priority review."

    Screenshots

    About This Skill

    Professional Operations Infrastructure

    The Customer Service Playbook Planner is a specialized skill designed for developers, operations managers, and support leads who need to build high-performance service systems. It moves beyond generic AI advice to generate deterministic, production-ready operating standards for SaaS, ecommerce, and service businesses.

    What it does

    This skill architecturally designs your support organization's nervous system. It generates structured ticket taxonomies, SLA definitions, sentiment-aware response matrices, and escalation paths. It includes a bundled Python CLI for generating repeatable JSON/Markdown artifacts and performing automated QA scoring of support transcripts.

    • Structured Triage: Maps issue categories to priorities (P0-P3), owners, and required evidence.
    • Risk Management: Establishes clear boundaries for refunds, cancellations, and security incidents.
    • Automated QA: Uses a standardized rubric to score agent responses for accuracy and policy compliance.
    • Handoff Logic: Defines precise rules for when a chatbot should escalate to a human agent.

    Why use this skill?

    Most AI agents provide "friendly" advice that is unusable in a production environment. This skill enforces operating rules that protect your business from false promises, legal liability, and inconsistent service. It produces documentation that is ready to be imported into Zendesk, Intercom, or internal knowledge bases.

    Use Cases

    • Design a P0-P3 ticket taxonomy with clear SLAs and ownership.
    • Generate a sentiment-response matrix to handle frustrated or angry customers.
    • Create deterministic QA rubrics to score support team performance.
    • Define chatbot-to-human handoff triggers based on intent and risk.
    • Draft SOPs for high-volume workflows like account recovery and cancellations.

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    Compatible with SKILL.md-compatible agents like Claude Code, Cursor, and OpenClaw environments.

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