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ElasticFlow

AI搭載のワークフロー自動化でビジネスを変革。エンタープライズのあらゆるニーズを満たす統合プラットフォーム。

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プラットフォーム

  • 機能
  • メリット
  • ユースケース
  • ワークフローライブラリ

ユースケース

  • 営業
  • マーケティング
  • 財務・法務
  • 人事

カタログ

  • 部門
  • ロール
  • ツール
  • メトリクス
  • プラットフォーム

成長

  • 紹介プログラム
  • パートナー

法務

  • プライバシーポリシー
  • 利用規約
  • Cookieポリシー
  • 許容される利用
  • セキュリティ
  • SLA

© 2026 ElasticFlow. All rights reserved.

ElasticFlow
HubAll SkillsBy DepartmentBy RoleBy ToolBy MetricMCPsPublishers
メインサイトログイン登録
ElasticFlow

AI搭載のワークフロー自動化でビジネスを変革。エンタープライズのあらゆるニーズを満たす統合プラットフォーム。

フォローする

プラットフォーム

  • 機能
  • メリット
  • ユースケース
  • ワークフローライブラリ

ユースケース

  • 営業
  • マーケティング
  • 財務・法務
  • 人事

カタログ

  • 部門
  • ロール
  • ツール
  • メトリクス
  • プラットフォーム

成長

  • 紹介プログラム
  • パートナー

法務

  • プライバシーポリシー
  • 利用規約
  • Cookieポリシー
  • 許容される利用
  • セキュリティ
  • SLA

© 2026 ElasticFlow. All rights reserved.

ElasticFlow
HubAll SkillsBy DepartmentBy RoleBy ToolBy MetricMCPsPublishers
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  1. ホーム
  2. スキル
  3. Zendesk Support Automation
利用可能な言語:🇬🇧 English🇫🇷 Français🇰🇷 한국어
AIスキルTriage Zendesk ticketsCustomer Success

Turn Zendesk tickets into prioritized support work with owners, replies, and SLA escalations. — Claude Skill

Claude Code向けClaudeスキル · 提供:Claude Office · 実行:/zendesk-automation(Claude内)·更新日:2026年6月12日·vclaude-office-skills/skills@zendesk-automation

対応GChatGPTClaudeClaudeCCClaude CodeCDClaude DesktopXCodex / Codex CLICursorCursorGeminiGeminiHHermes (via Continue / Cline)OpenClawOpenClawWindsurfWindsurf

Turns a Zendesk queue into a prioritized support plan: incident clusters, SLA risk, assignees, macros, escalation notes, and customer replies.

  • Reads Zendesk ticket exports, queue summaries, customer notes, and priority rules.
  • Groups duplicate tickets into incidents, how-to requests, billing issues, product signals, and normal queue work.
  • Recommends priority, assignee or group, tags, macro replies, internal notes, and escalation path.
  • Flags SLA risk, enterprise customer impact, and decisions that need a human before bulk updates.
あなた今日

A support lead scans Zendesk one ticket at a time, guesses urgency, asks in Slack who owns the issue, and writes replies from scratch while the SLA clock keeps running.

/zendesk-automation使用時

Run /zendesk-automation with the Zendesk export and support rules. The skill returns priority groups, owner suggestions, macros, escalation notes, and human-review warnings.

1 Paste Zendesk queue export2 Add SLA and routing rules3 Group duplicates and incidents4 Review owners, macros, and escalations5 Update Zendesk after human approval

対象ユーザー

Support Lead

Prioritize the Zendesk queue, assign owners, choose macros, and catch SLA or incident risk before customers wait.

この役職のスキルを見る

機能

Morning Zendesk queue triage

Turn overnight tickets into a clear queue order with priority, owner, reply type, and what must be handled before the SLA slips.

Incident and duplicate detection

Spot when many tickets describe one customer-facing problem, group them under one incident, and prepare the internal escalation note.

Macro and reply preparation

Choose which tickets can use a saved reply, which need a personal response, and which need more information before support replies.

Product feedback from support

Group repeated requests into product themes without treating every feature request as an urgent support incident.

仕組み

1

Paste a Zendesk queue export, ticket summaries, or copied ticket text with customer tier, status, tags, and message body.

2

Add the routing rules that matter: SLA, customer tier, product area, incident threshold, billing policy, or escalation channel.

3

The skill clusters related tickets, separates incidents from routine requests, and proposes Zendesk fields, owners, replies, and escalation notes.

4

A support lead reviews the recommendations before updating Zendesk, sending customer replies, or notifying Product and Engineering.

入力オプション

Zendesk ticket export

Ticket ID, requester, company, customer tier, subject, status, tags, SLA clock, assignee, and latest customer message.

例

What the user pastes
Zendesk queue, Monday 09:00:

ZD-1842 | Acme Corp | Enterprise | 42 min to first-response SLA | tag: checkout | Safari users time out after card entry. 11 customers added similar replies.
ZD-1845 | Northwind | Enterprise | 1h 20m to SLA | tag: invoice_export | Finance admin cannot export April invoices before close.
ZD-1850 | 14 Standard customers | tag: 2fa_reset | Users need help moving two-factor authentication to a new phone.
ZD-1857 | 3 Business admins | tag: bulk_user_upload | Asking whether CSV user import exists.
ZD-1862 | Beta customer | tag: bug_report | Settings page flashes once, then works after refresh.

Priority rules:
- Checkout/payment blockers become P1 when more than 5 customers report the same failure.
- Enterprise billing or invoice export tickets require a response within 2 hours.
- How-to requests can use an approved macro unless the customer is Enterprise.
- Product requests should be grouped for weekly product review, not escalated as incidents.

Need: Zendesk priority, owner group, customer reply, internal note, and escalation list.
Useful result
P1 incident: checkout timeout on Safari
Why: 11 linked replies plus more than 5 affected customers crosses the payment-blocker threshold. Zendesk: set priority urgent, tag incident_checkout_safari, assign Support Lead, link related tickets. Escalate to Payments Engineering and #support-incidents. Customer reply: 'We are investigating a Safari checkout issue and will update this ticket within 30 minutes.'
High priority: enterprise invoice export
Why: Enterprise billing issue with less than 2 hours to SLA. Zendesk: assign Billing Support, set priority high, add tag enterprise_billing, send acknowledgement now. Internal note: check whether exports fail for all April invoices or only Northwind.
Macro queue: two-factor reset
Why: routine how-to requests from Standard customers. Zendesk: use the approved 2FA reset macro, keep status pending after reply, and route only failed-reset follow-ups back to Support.
Product signal: bulk user upload
Why: repeated feature request, not an active incident. Zendesk: tag product_feedback_bulk_upload, send expectation-setting reply, and add the theme to the weekly Product review list.
Human review before update
Confirm the checkout incident severity, customer-facing wording, and whether Support is allowed to mention the public status page before applying bulk updates.

改善される指標

Ticket Cycle Time
-10-25%
Customer Success
Issue Hygiene
+20-35%
Customer Success

対応ツール

Slack
手動

Notify support incident channels and share escalation context that should not be sent to customers.

Jira
手動

Create or link engineering follow-up when a support cluster becomes a product bug or incident.

Zendesk
手動

Use ticket exports, tags, status, SLA clocks, customer tier, assignee, and message body as the queue source.

どこでも使える

スタンドアロン
セットアップ不要

Paste the notes, exports, screenshots, or summaries you already have. The skill works without a connected system.

接続済み
CRM+ツール連携

Connect the relevant support, analytics, CRM, or data tool when you want fresher source evidence.

Zendesk Support Automationを使ってみますか?

始め方を選択してください。

Claude Codeで実行
無料・オープンソース

このスキルをコンピュータにローカルでインストールして実行します。

1
Claude Codeをインストール

コンピュータでターミナルを開き、このコマンドを貼り付けます:

2
スキルをインストール

このコマンドでスキルとすべてのファイルをコンピュータにダウンロードします:

末尾に-gを追加すると、すべてのプロジェクトで利用可能になります。

3
実行する

Claude Codeを起動し、コマンドを入力します:

次に
GitHubでソースを見る
ElasticFlowで利用
チームとコラボレーション機能

ブラウザからスキルを実行。結果を共有し、アクセス管理、チームで協力。ターミナル不要。

14日間無料トライアル。いつでもキャンセル可能。

GitHubで見る

Zendesk Automation

Comprehensive skill for automating Zendesk support workflows and ticket management.

Core Workflows

1. Ticket Triage Pipeline

INCOMING TICKET FLOW:
┌─────────────────┐
│  New Ticket     │
└────────┬────────┘
         ▼
┌─────────────────┐
│  AI Analysis    │
│  - Intent       │
│  - Sentiment    │
│  - Urgency      │
└────────┬────────┘
         ▼
┌─────────────────┐
│  Categorize     │
│  - Type         │
│  - Product      │
│  - Skill needed │
└────────┬────────┘
         ▼
┌─────────────────┐
│  Route & Assign │
│  - Team         │
│  - Agent        │
│  - Priority     │
└────────┬────────┘
         ▼
┌─────────────────┐
│  Auto-Response  │
│  (if applicable)│
└─────────────────┘

2. Routing Rules

routing_rules:
  - name: billing_issues
    conditions:
      - field: subject
        contains: ["billing", "invoice", "charge", "refund", "payment"]
      - field: tags
        includes: ["billing"]
    actions:
      - set_group: billing_team
      - set_priority: high
      - add_tags: ["billing_routed"]
  
  - name: technical_support
    conditions:
      - field: subject
        contains: ["error", "bug", "not working", "crash"]
      - field: product
        equals: "software"
    actions:
      - set_group: tech_support
      - set_priority: normal
      - add_tags: ["technical"]
  
  - name: enterprise_escalation
    conditions:
      - field: organization
        tier: enterprise
      - field: priority
        equals: urgent
    actions:
      - set_group: enterprise_team
      - set_priority: urgent
      - notify: slack_channel

3. Priority Matrix

Customer TierIssue TypeResponse SLAResolution SLA
EnterpriseCritical15 minutes4 hours
EnterpriseHigh1 hour8 hours
BusinessCritical1 hour8 hours
BusinessNormal4 hours24 hours
StandardAll8 hours48 hours

Auto-Response Templates

Common Issue Responses

auto_responses:
  password_reset:
    trigger:
      keywords: ["password", "reset", "forgot", "login"]
    response: |
      Hi {{ticket.requester.name}},
      
      I understand you're having trouble accessing your account. 
      Here's how to reset your password:
      
      1. Go to {{settings.login_url}}/forgot-password
      2. Enter your email address
      3. Check your inbox for the reset link
      4. Create a new password
      
      If you don't receive the email within 5 minutes, 
      please check your spam folder.
      
      Let me know if you need any further assistance!
    
    actions:
      - add_tags: ["auto_replied", "password_reset"]
      - set_status: pending

  shipping_inquiry:
    trigger:
      keywords: ["shipping", "tracking", "delivery", "order status"]
    response: |
      Hi {{ticket.requester.name}},
      
      Thanks for reaching out about your order!
      
      I've looked up your recent order and here's the status:
      {{#if order.tracking_number}}
      - Order #: {{order.id}}
      - Status: {{order.status}}
      - Tracking: {{order.tracking_number}}
      - Estimated Delivery: {{order.estimated_delivery}}
      {{else}}
      Your order is being processed and tracking information 
      will be available within 24 hours.
      {{/if}}
      
      Is there anything else I can help with?

Ticket Management

Macro Library

macros:
  - name: request_more_info
    actions:
      - add_comment: |
          Thank you for contacting us. To better assist you, 
          could you please provide:
          1. Your account email
          2. Steps to reproduce the issue
          3. Any error messages you're seeing
          4. Screenshots if possible
      - set_status: pending
      - add_tags: ["awaiting_info"]

  - name: escalate_to_engineering
    actions:
      - add_internal_note: "Escalated to engineering team"
      - set_group: engineering
      - set_priority: high
      - add_tags: ["escalated", "engineering"]
      - notify: engineering_slack

  - name: close_resolved
    actions:
      - add_comment: |
          I'm glad we could resolve this for you! 
          
          If you have any other questions, feel free to 
          reach out anytime. We're here to help.
          
          Have a great day!
      - set_status: solved
      - add_tags: ["resolved"]

Bulk Operations

bulk_actions:
  - name: close_stale_tickets
    schedule: "0 0 * * *"  # Daily
    conditions:
      - status: pending
      - last_update_days: 7
    actions:
      - add_comment: "Closing due to no response. Please reopen if needed."
      - set_status: solved
      - add_tags: ["auto_closed"]

  - name: escalate_breaching_sla
    schedule: "*/15 * * * *"  # Every 15 min
    conditions:
      - sla_breach_in_minutes: 30
    actions:
      - set_priority: urgent
      - notify: team_lead
      - add_tags: ["sla_at_risk"]

SLA Management

SLA Policies

sla_policies:
  - name: enterprise_sla
    conditions:
      organization_tag: enterprise
    targets:
      first_reply:
        urgent: 15  # minutes
        high: 60
        normal: 240
      resolution:
        urgent: 240
        high: 480
        normal: 1440

  - name: standard_sla
    conditions:
      default: true
    targets:
      first_reply:
        urgent: 60
        high: 240
        normal: 480
      resolution:
        urgent: 480
        high: 1440
        normal: 2880

SLA Dashboard

SLA PERFORMANCE - THIS WEEK
═══════════════════════════════════════

First Reply SLA:
Enterprise  ████████████████████ 98% ✓
Business    ██████████████████░░ 94% ✓
Standard    █████████████████░░░ 89% ⚠

Resolution SLA:
Enterprise  ████████████████████ 96% ✓
Business    █████████████████░░░ 91% ✓
Standard    ████████████████░░░░ 85% ⚠

TICKETS AT RISK:
┌──────────┬──────────┬───────────┐
│ Ticket   │ Customer │ Time Left │
├──────────┼──────────┼───────────┤
│ #45231   │ Acme Corp│ 12 min    │
│ #45198   │ TechStart│ 28 min    │
│ #45156   │ DataFlow │ 45 min    │
└──────────┴──────────┴───────────┘

AI-Powered Features

Sentiment Analysis

sentiment_analysis:
  enabled: true
  actions:
    negative:
      - add_tags: ["negative_sentiment"]
      - set_priority: +1  # Increase priority
      - notify: team_lead
    
    frustrated:
      - add_tags: ["frustrated_customer"]
      - route_to: senior_agents
      - add_internal_note: "Customer appears frustrated"

Intent Detection

intent_detection:
  categories:
    - name: billing_inquiry
      keywords: ["charge", "invoice", "refund", "bill"]
      confidence_threshold: 0.8
    
    - name: technical_issue
      keywords: ["error", "bug", "broken", "crash"]
      confidence_threshold: 0.75
    
    - name: feature_request
      keywords: ["wish", "would be nice", "suggest", "feature"]
      confidence_threshold: 0.7
    
    - name: cancellation
      keywords: ["cancel", "stop", "end subscription"]
      confidence_threshold: 0.85
      actions:
        - route_to: retention_team
        - set_priority: high

Integration Workflows

Slack Integration

slack_integration:
  notifications:
    - trigger: new_urgent_ticket
      channel: "#support-urgent"
      message: "🚨 New urgent ticket: {{ticket.subject}}"
    
    - trigger: sla_warning
      channel: "#support-alerts"
      message: "⚠️ Ticket #{{ticket.id}} approaching SLA breach"
    
    - trigger: negative_csat
      channel: "#support-feedback"
      message: "📉 Low CSAT received for ticket #{{ticket.id}}"

JIRA Integration

jira_integration:
  sync_rules:
    - zendesk_tag: bug_confirmed
      create_jira:
        project: DEV
        issue_type: Bug
        priority_map:
          urgent: Highest
          high: High
          normal: Medium
        sync_fields:
          - description
          - attachments
        link_back: true

Analytics & Reporting

Key Metrics

SUPPORT METRICS DASHBOARD
═══════════════════════════════════════

Volume:
Today's Tickets: 156 (+12% vs avg)
Open Tickets: 234
Backlog: 45

Performance:
Avg First Reply: 42 min (target: 60 min) ✓
Avg Resolution: 4.2 hrs (target: 8 hrs) ✓
One-Touch Resolution: 34%

Satisfaction:
CSAT Score: 4.6/5.0 ⭐
NPS: +45
Response Quality: 92%

Agent Performance:
┌────────────┬────────┬──────────┬──────┐
│ Agent      │ Solved │ Avg Time │ CSAT │
├────────────┼────────┼──────────┼──────┤
│ Sarah      │ 28     │ 3.1 hrs  │ 4.8  │
│ Mike       │ 25     │ 3.5 hrs  │ 4.7  │
│ Lisa       │ 22     │ 4.0 hrs  │ 4.6  │
└────────────┴────────┴──────────┴──────┘

Best Practices

  1. Quick First Response: Acknowledge tickets quickly, even if resolution takes longer
  2. Use Macros Wisely: Personalize templated responses
  3. Tag Consistently: Enable better routing and reporting
  4. Monitor SLAs: Set up alerts before breaches
  5. Capture Feedback: Send CSAT surveys after resolution
  6. Regular Training: Update agents on common issues

参照ドキュメント


name: Zendesk Automation description: Automate customer support workflows with Zendesk ticket management, routing, and analytics version: 1.0.0 author: Claude Office Skills category: support tags:

  • zendesk
  • helpdesk
  • tickets
  • customer-support
  • automation department: support models:
  • claude-3-opus
  • claude-3-sonnet
  • gpt-4 mcp: server: helpdesk-mcp tools:
    • zendesk_create_ticket
    • zendesk_update_ticket
    • zendesk_search
    • zendesk_macros capabilities:
  • Ticket creation and routing
  • Auto-response generation
  • SLA monitoring
  • Agent assignment input:
  • Support requests
  • Ticket data
  • Customer information
  • Priority criteria output:
  • Ticket responses
  • Routing decisions
  • Performance reports
  • SLA dashboards languages:
  • en
  • zh related_skills:
  • slack-workflows
  • customer-success
  • intercom-automation

Zendesk Automation

Comprehensive skill for automating Zendesk support workflows and ticket management.

Core Workflows

1. Ticket Triage Pipeline

INCOMING TICKET FLOW:
┌─────────────────┐
│  New Ticket     │
└────────┬────────┘
         ▼
┌─────────────────┐
│  AI Analysis    │
│  - Intent       │
│  - Sentiment    │
│  - Urgency      │
└────────┬────────┘
         ▼
┌─────────────────┐
│  Categorize     │
│  - Type         │
│  - Product      │
│  - Skill needed │
└────────┬────────┘
         ▼
┌─────────────────┐
│  Route & Assign │
│  - Team         │
│  - Agent        │
│  - Priority     │
└────────┬────────┘
         ▼
┌─────────────────┐
│  Auto-Response  │
│  (if applicable)│
└─────────────────┘

2. Routing Rules

routing_rules:
  - name: billing_issues
    conditions:
      - field: subject
        contains: ["billing", "invoice", "charge", "refund", "payment"]
      - field: tags
        includes: ["billing"]
    actions:
      - set_group: billing_team
      - set_priority: high
      - add_tags: ["billing_routed"]
  
  - name: technical_support
    conditions:
      - field: subject
        contains: ["error", "bug", "not working", "crash"]
      - field: product
        equals: "software"
    actions:
      - set_group: tech_support
      - set_priority: normal
      - add_tags: ["technical"]
  
  - name: enterprise_escalation
    conditions:
      - field: organization
        tier: enterprise
      - field: priority
        equals: urgent
    actions:
      - set_group: enterprise_team
      - set_priority: urgent
      - notify: slack_channel

3. Priority Matrix

Customer TierIssue TypeResponse SLAResolution SLA
EnterpriseCritical15 minutes4 hours
EnterpriseHigh1 hour8 hours
BusinessCritical1 hour8 hours
BusinessNormal4 hours24 hours
StandardAll8 hours48 hours

Auto-Response Templates

Common Issue Responses

auto_responses:
  password_reset:
    trigger:
      keywords: ["password", "reset", "forgot", "login"]
    response: |
      Hi {{ticket.requester.name}},
      
      I understand you're having trouble accessing your account. 
      Here's how to reset your password:
      
      1. Go to {{settings.login_url}}/forgot-password
      2. Enter your email address
      3. Check your inbox for the reset link
      4. Create a new password
      
      If you don't receive the email within 5 minutes, 
      please check your spam folder.
      
      Let me know if you need any further assistance!
    
    actions:
      - add_tags: ["auto_replied", "password_reset"]
      - set_status: pending

  shipping_inquiry:
    trigger:
      keywords: ["shipping", "tracking", "delivery", "order status"]
    response: |
      Hi {{ticket.requester.name}},
      
      Thanks for reaching out about your order!
      
      I've looked up your recent order and here's the status:
      {{#if order.tracking_number}}
      - Order #: {{order.id}}
      - Status: {{order.status}}
      - Tracking: {{order.tracking_number}}
      - Estimated Delivery: {{order.estimated_delivery}}
      {{else}}
      Your order is being processed and tracking information 
      will be available within 24 hours.
      {{/if}}
      
      Is there anything else I can help with?

Ticket Management

Macro Library

macros:
  - name: request_more_info
    actions:
      - add_comment: |
          Thank you for contacting us. To better assist you, 
          could you please provide:
          1. Your account email
          2. Steps to reproduce the issue
          3. Any error messages you're seeing
          4. Screenshots if possible
      - set_status: pending
      - add_tags: ["awaiting_info"]

  - name: escalate_to_engineering
    actions:
      - add_internal_note: "Escalated to engineering team"
      - set_group: engineering
      - set_priority: high
      - add_tags: ["escalated", "engineering"]
      - notify: engineering_slack

  - name: close_resolved
    actions:
      - add_comment: |
          I'm glad we could resolve this for you! 
          
          If you have any other questions, feel free to 
          reach out anytime. We're here to help.
          
          Have a great day!
      - set_status: solved
      - add_tags: ["resolved"]

Bulk Operations

bulk_actions:
  - name: close_stale_tickets
    schedule: "0 0 * * *"  # Daily
    conditions:
      - status: pending
      - last_update_days: 7
    actions:
      - add_comment: "Closing due to no response. Please reopen if needed."
      - set_status: solved
      - add_tags: ["auto_closed"]

  - name: escalate_breaching_sla
    schedule: "*/15 * * * *"  # Every 15 min
    conditions:
      - sla_breach_in_minutes: 30
    actions:
      - set_priority: urgent
      - notify: team_lead
      - add_tags: ["sla_at_risk"]

SLA Management

SLA Policies

sla_policies:
  - name: enterprise_sla
    conditions:
      organization_tag: enterprise
    targets:
      first_reply:
        urgent: 15  # minutes
        high: 60
        normal: 240
      resolution:
        urgent: 240
        high: 480
        normal: 1440

  - name: standard_sla
    conditions:
      default: true
    targets:
      first_reply:
        urgent: 60
        high: 240
        normal: 480
      resolution:
        urgent: 480
        high: 1440
        normal: 2880

SLA Dashboard

SLA PERFORMANCE - THIS WEEK
═══════════════════════════════════════

First Reply SLA:
Enterprise  ████████████████████ 98% ✓
Business    ██████████████████░░ 94% ✓
Standard    █████████████████░░░ 89% ⚠

Resolution SLA:
Enterprise  ████████████████████ 96% ✓
Business    █████████████████░░░ 91% ✓
Standard    ████████████████░░░░ 85% ⚠

TICKETS AT RISK:
┌──────────┬──────────┬───────────┐
│ Ticket   │ Customer │ Time Left │
├──────────┼──────────┼───────────┤
│ #45231   │ Acme Corp│ 12 min    │
│ #45198   │ TechStart│ 28 min    │
│ #45156   │ DataFlow │ 45 min    │
└──────────┴──────────┴───────────┘

AI-Powered Features

Sentiment Analysis

sentiment_analysis:
  enabled: true
  actions:
    negative:
      - add_tags: ["negative_sentiment"]
      - set_priority: +1  # Increase priority
      - notify: team_lead
    
    frustrated:
      - add_tags: ["frustrated_customer"]
      - route_to: senior_agents
      - add_internal_note: "Customer appears frustrated"

Intent Detection

intent_detection:
  categories:
    - name: billing_inquiry
      keywords: ["charge", "invoice", "refund", "bill"]
      confidence_threshold: 0.8
    
    - name: technical_issue
      keywords: ["error", "bug", "broken", "crash"]
      confidence_threshold: 0.75
    
    - name: feature_request
      keywords: ["wish", "would be nice", "suggest", "feature"]
      confidence_threshold: 0.7
    
    - name: cancellation
      keywords: ["cancel", "stop", "end subscription"]
      confidence_threshold: 0.85
      actions:
        - route_to: retention_team
        - set_priority: high

Integration Workflows

Slack Integration

slack_integration:
  notifications:
    - trigger: new_urgent_ticket
      channel: "#support-urgent"
      message: "🚨 New urgent ticket: {{ticket.subject}}"
    
    - trigger: sla_warning
      channel: "#support-alerts"
      message: "⚠️ Ticket #{{ticket.id}} approaching SLA breach"
    
    - trigger: negative_csat
      channel: "#support-feedback"
      message: "📉 Low CSAT received for ticket #{{ticket.id}}"

JIRA Integration

jira_integration:
  sync_rules:
    - zendesk_tag: bug_confirmed
      create_jira:
        project: DEV
        issue_type: Bug
        priority_map:
          urgent: Highest
          high: High
          normal: Medium
        sync_fields:
          - description
          - attachments
        link_back: true

Analytics & Reporting

Key Metrics

SUPPORT METRICS DASHBOARD
═══════════════════════════════════════

Volume:
Today's Tickets: 156 (+12% vs avg)
Open Tickets: 234
Backlog: 45

Performance:
Avg First Reply: 42 min (target: 60 min) ✓
Avg Resolution: 4.2 hrs (target: 8 hrs) ✓
One-Touch Resolution: 34%

Satisfaction:
CSAT Score: 4.6/5.0 ⭐
NPS: +45
Response Quality: 92%

Agent Performance:
┌────────────┬────────┬──────────┬──────┐
│ Agent      │ Solved │ Avg Time │ CSAT │
├────────────┼────────┼──────────┼──────┤
│ Sarah      │ 28     │ 3.1 hrs  │ 4.8  │
│ Mike       │ 25     │ 3.5 hrs  │ 4.7  │
│ Lisa       │ 22     │ 4.0 hrs  │ 4.6  │
└────────────┴────────┴──────────┴──────┘

Best Practices

  1. Quick First Response: Acknowledge tickets quickly, even if resolution takes longer
  2. Use Macros Wisely: Personalize templated responses
  3. Tag Consistently: Enable better routing and reporting
  4. Monitor SLAs: Set up alerts before breaches
  5. Capture Feedback: Send CSAT surveys after resolution
  6. Regular Training: Update agents on common issues

Source marketplace page: https://github.com/claude-office-skills/skills/blob/HEAD/zendesk-automation/SKILL.md

Install command: npx skills add claude-office-skills/skills@zendesk-automation

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