Track and update action item status from natural language updates like 'Seanのメールには返信しておいた' or 'Lu対応予定'. Integrates with daily-comms-ops workflow. Use when managing action items across communication channels.
中文简介正在准备中。当前显示原文说明。
Generic helpdesk first-response skill for creating KB-based response drafts. Use when handling support tickets, creating response templates, or building a structured helpdesk workflow. Supports error code detection, keyword matching, confidence scoring, multi-language templates, and escalation workflows. Customize by providing your own KB articles and configuration.
中文简介正在准备中。当前显示原文说明。
实测评分 未实测
查看安装方法安装前可以查看交给 AI 代理的指令内容。
A generic helpdesk first-response skill that creates KB-based response drafts for support tickets. Adaptable to any industry or product support context.
Use this skill when:
+---------------------------------------------------------------------+
| Phase 1: Inquiry Analysis |
| - Extract ticket information |
| - Auto-detect patterns (error codes, device names, symptoms) |
+---------------------------------------------------------------------+
|
+---------------+---------------+
v v v
+-------------+ +-------------+ +-------------+
| Error Code | | Device/ | | Keyword |
| Detection | | Product | | Detection |
+-------------+ +-------------+ +-------------+
| | |
+---------------+---------------+
v
+---------------------------------------------------------------------+
| Phase 2: KB Search & Matching |
| - Reference kb_index.json |
| - Primary KB prioritization |
| - Confidence score calculation |
+---------------------------------------------------------------------+
|
+---------------+---------------+
v v v
+-------------+ +-------------+ +-------------+
| High Conf. | | Medium Conf.| | Low Conf. |
| (>=80%) | | (50-79%) | | (<50%) |
+-------------+ +-------------+ +-------------+
| | |
v v v
+-------------+ +-------------+ +-------------+
| Template 1 | | Template 2 | | Template 3 |
| Solution | | Info Request| | Escalation |
+-------------+ +-------------+ +-------------+
|
v
+---------------------------------------------------------------------+
| Phase 3: Response Draft Generation |
| - Template variable substitution |
| - KB steps integration |
| - Escalation determination |
+---------------------------------------------------------------------+
Extract from the ticket:
Configure patterns in references/kb_index.json:
| Priority | Pattern Type | Example Regex | Example Match |
|---|---|---|---|
| 1 | Error Code | [Ee]rror\s*(\d{5}) | Error 30001 |
| 2 | Code Alternative | code\s*(\d{5}) | code 20002 |
| 3 | Device + Symptom | (device_name)\s*(not working|offline) | printer not working |
| 4 | Hardware Symptom | (not printing|won't boot|blue screen) | not printing |
Map detected patterns to KB categories:
| Category | Detection Criteria | Typical KB |
|---|---|---|
| Error Codes | Numeric error patterns | Error reference guides |
| Hardware Issues | Physical device symptoms | Troubleshooting guides |
| Software Issues | Application errors | Software guides |
| Account/Access | Login, permissions | Account management |
| Connectivity | Network, offline | Network troubleshooting |
| Match Type | Score | Example |
|---|---|---|
| Error code exact match | +50 | Error 30001 in KB |
| Device/product name match | +20 | "printer" mentioned |
| Keyword match | +15 | "not printing" |
| Symptom similarity | +10 | Similar symptom pattern |
| Category match | +5 | Hardware category |
| Level | Score | Action |
|---|---|---|
| High | >= 80 | Provide solution directly |
| Medium | 50-79 | Request additional information |
| Low | < 50 | Escalate for investigation |
When multiple KB articles match:
primary_kb field if specifieddetailed_kb: true articles| Variable | Description | Source |
|---|---|---|
{{customer_name}} | Customer name | Ticket contact |
{{ticket_subject}} | Subject line | Ticket subject |
{{ticket_number}} | Ticket ID | Ticket system |
{{error_code}} | Error code | Pattern detection |
{{device_type}} | Device/product type | Pattern detection |
{{kb_article}} | KB article name | KB match |
{{kb_steps}} | Troubleshooting steps | KB content |
{{resolution_time}} | Estimated time | KB metadata |
{{escalation_reason}} | Escalation reason | Analysis result |
English:
Dear {{customer_name}},
Thank you for contacting our support team regarding {{ticket_subject}}.
Based on the information provided, this appears to be a {{device_type}} {{error_code}} issue. Here are the steps to resolve this:
**Troubleshooting Steps:**
{{kb_steps}}
**Estimated Resolution Time:** {{resolution_time}}
If the issue persists after completing these steps, please let us know and we will escalate to our technical team.
Best regards,
Support Team
Japanese:
{{customer_name}} 様
サポートへお問い合わせいただきありがとうございます。
「{{ticket_subject}}」についてご連絡いただきました。
ご報告いただいた内容から、{{device_type}}の{{error_code}}エラーと思われます。
以下の手順で解決できる可能性がございます:
**トラブルシューティング手順:**
{{kb_steps}}
**想定解決時間:** {{resolution_time}}
上記の手順でも解決しない場合は、技術チームへエスカレーションいたします。
サポートチーム
English:
Dear {{customer_name}},
Thank you for contacting our support team regarding {{ticket_subject}}.
To better assist you with this issue, could you please provide the following information:
1. What is the exact error message or code displayed?
2. Which device/product is affected?
3. When did this issue first occur?
4. Have you tried any troubleshooting steps?
5. Has anything changed recently (updates, configuration)?
Once we receive this information, we will provide specific troubleshooting steps.
Best regards,
Support Team
Japanese:
{{customer_name}} 様
サポートへお問い合わせいただきありがとうございます。
「{{ticket_subject}}」についてご連絡いただきました。
より適切なサポートをご提供するため、以下の情報をお知らせください:
1. 表示されているエラーメッセージやコードは何ですか?
2. どの製品/デバイスで発生していますか?
3. この問題はいつ頃から発生していますか?
4. トラブルシューティングは試されましたか?
5. 最近何か変更はありましたか(更新、設定変更など)?
情報をいただき次第、具体的な対応方法をご案内いたします。
サポートチーム
English:
Dear {{customer_name}},
Thank you for contacting our support team regarding {{ticket_subject}}.
We have reviewed your request and determined that this issue requires detailed investigation by our technical team.
**Escalation Reason:** {{escalation_reason}}
We will:
1. Analyze the system logs and configuration
2. Coordinate with relevant teams if needed
3. Provide you with an update within [SLA timeframe]
In the meantime, please note any additional symptoms that may appear.
We appreciate your patience.
Best regards,
Support Team
Japanese:
{{customer_name}} 様
サポートへお問い合わせいただきありがとうございます。
「{{ticket_subject}}」についてご連絡いただきました。
ご報告いただいた内容を確認した結果、技術チームによる詳細調査が必要と判断いたしました。
**エスカレーション理由:** {{escalation_reason}}
以下の対応を進めます:
1. システムログと設定の分析
2. 必要に応じて関連チームとの連携
3. [SLA時間]以内に進捗をご報告
その間、追加の症状があればお知らせください。
ご理解のほどよろしくお願いいたします。
サポートチーム
| Condition | Threshold | Action |
|---|---|---|
| Repeat same error | 3+ times in 7 days | Request pattern analysis |
| Unknown error code | Not in KB index | Recommend new KB creation |
| Multi-system failure | 2+ systems | Immediate escalation |
| Hardware replacement | KB determination | Vendor coordination |
Configure based on your business:
When escalating to next-level support:
## Escalation Request
**Ticket Number:** #{{ticket_number}}
**Customer:** {{customer_name}}
**Issue Summary:** {{ticket_subject}}
**Confidence Score:** {{confidence_score}}
### Detected Information
- Error Code: {{error_code}}
- Device: {{device_type}}
- Symptoms: {{detected_keywords}}
### First Response Actions
- Referenced KB: {{kb_article}}
- Match Reason: {{match_reason}}
- Why Not Resolved: {{non_match_reason}}
### Escalation Reason
{{escalation_reason}}
### Recommended Investigation
1. {{investigation_item_1}}
2. {{investigation_item_2}}
3. {{investigation_item_3}}
### Related Information
- Similar past tickets: {{related_tickets}}
- Vendor contact needed: {{vendor_contact_needed}}
Create a kb_index.json file with this structure:
{
"version": "1.0",
"kb_base_path": "./kb_articles",
"auto_detection_patterns": {
"error_code": {
"pattern": "[Ee]rror\\s*(\\d+)",
"priority": 1
}
},
"confidence_thresholds": {
"high": {"min_score": 80},
"medium": {"min_score": 50, "max_score": 79},
"low": {"min_score": 0, "max_score": 49}
},
"error_codes": {
"10001": {
"kb": "error_reference.md",
"section": "Network Errors",
"description": "Network connection error",
"confidence": "high",
"resolution_time": "5-15min"
}
},
"keywords": {
"printer": {
"kb": ["printer_troubleshooting.md"],
"aliases": ["printing", "print"],
"confidence": "high",
"category": "hardware"
}
},
"categories": {
"hardware": {
"kb": ["hardware_guide.md"],
"typical_resolution_time": "15-30min"
}
}
}
See references/kb_schema.json for the complete schema.
With ticket ID:
/helpdesk-responder Ticket #1234 response draft
With pasted content:
/helpdesk-responder
Please respond to:
[paste email content]
With specific error:
/helpdesk-responder Error code 30001 troubleshooting
In Japanese:
/helpdesk-responder チケット#1234 日本語で回答
The skill outputs:
Problem Analysis
Referenced KB
Response Draft
Additional Actions
Create KB Articles
Configure kb_index.json
Customize Templates
Set Escalation Rules
| Version | Date | Changes |
|---|---|---|
| 1.0 | 2025-12-28 | Initial generic version |
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Track and update action item status from natural language updates like 'Seanのメールには返信しておいた' or 'Lu対応予定'. Integrates with daily-comms-ops workflow. Use when managing action items across communication channels.
中文简介正在准备中。当前显示原文说明。
AI活用提案の専門コンサルタントスキル。LLM・AIエージェントの活用事例知識を基に、業界別、部門別、シーン別に最適なAI導入提案を行います。システム化、業務改善、効率化を得意とし、具体的な活用事例、期待効果、導入ステップを含む実践的な提案を提供します。Use when proposing AI/LLM adoption strategies for specific industries, departments, or business scenarios.
中文简介正在准备中。当前显示原文说明。
Generate AI-powered BPO service proposals for Japanese companies in the US market. Use when creating outsourcing proposals with AI service menus, ROI estimation, implementation roadmaps, and bilingual (JA/EN) proposal documents for 在米日系企業向けAI実装.
中文简介正在准备中。当前显示原文说明。
AI(LLM)が生成した日本語テキストの「AI臭」を検出・診断し、人間らしい文章にリライトするスキル。 Use when: 「AIっぽい文章を直して」「人間らしくリライトして」「AI臭を消して」「この文章をもっと自然にして」 「テキストのAI感を減らして」「機械っぽさを取りたい」 "make this sound more human", "remove AI tone", "humanize this text", "detect if this is AI-generated". 6つのAI特有パターン(視覚的マーカー、単調なリズム、マニュアル的構成、非コミット姿勢、抽象語の濫用、 定型メタファー)を正規表現ベースで検出し、0-100のAI臭スコアを算出。3つの人間化技法 (バランスを崩す・客観を崩す・論理を崩す)でリライトを実行する。 Note: 検出スクリプトは日本語テキスト専用。英語テキストの場合はClaude自身がreferences/を参照して分析・リライトする。
中文简介正在准备中。当前显示原文说明。
Generate audit-ready internal control design documents from As-Is business process inventories. Produces control IDs, assertion mappings, procedures, SoD analysis, KPIs, materiality thresholds, and implementation roadmaps. Use when building internal controls for new audit engagements, SOX/J-SOX compliance, or process improvement initiatives.
中文简介正在准备中。当前显示原文说明。
Review audit-related documents (control design documents, bottleneck analyses, requirements definitions, etc.) for quality, scoring them 0-100 with a severity-rated findings list. Use when reviewing audit documents, checking control design quality, or verifying cross-document consistency. Supports documents governed by US GAAP, IFRS, or J-GAAP.
中文简介正在准备中。当前显示原文说明。