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.
vendor-support-ticket-tracker
Track vendor support tickets and RMA cases across multiple vendors. Use when managing support ticket lifecycle, updating ticket status from vendor emails, generating status reports, or identifying tickets needing follow-up.
インストール方法を見る含まれるファイル(5)
- SKILL.md6.2 KB
- references/ticket-lifecycle.md7.6 KB
- scripts/tests/conftest.py230 B
- scripts/tests/test_ticket_manager.py17.5 KB
- scripts/ticket_manager.py17.5 KB
SKILL.md(原文)
インストールする前に、エージェントに与えられる指示の中身を確認できます。
Vendor Support Ticket Tracker
Overview
Track and manage vendor support tickets and RMA cases across multiple vendors (STX, Dell, HP, etc.). Maintains ticket state, communication timeline, pending actions, and escalation status. Integrates with email to auto-update ticket status from vendor responses and generates status reports identifying tickets requiring follow-up.
When to Use
- Creating a new vendor support ticket or RMA case
- Updating ticket status from vendor email responses
- Generating status reports for open tickets
- Identifying stale tickets requiring follow-up
- Reviewing escalation history for a specific ticket
- Tracking SLA compliance across vendors
Prerequisites
- Python 3.9+
- No API keys required (local YAML-based storage)
- Optional:
gogcli-expertskill for Gmail integration - PyYAML package for ticket state persistence
Workflow
Step 1: Initialize Ticket Database
Check for existing ticket database or create a new one.
python3 scripts/ticket_manager.py init \
--db-path ./tickets.yaml
Step 2: Create New Ticket
Register a new vendor support ticket or RMA case.
python3 scripts/ticket_manager.py create \
--vendor "STX" \
--ticket-id "SR-2025-001234" \
--subject "HDD failure - server rack 12" \
--priority "high" \
--category "RMA" \
--contact "support@stx.com" \
--db-path ./tickets.yaml
Step 3: Update Ticket Status from Email
Parse vendor email response and update ticket timeline. Run this after receiving vendor correspondence.
python3 scripts/ticket_manager.py update \
--ticket-id "SR-2025-001234" \
--status "awaiting-parts" \
--notes "Vendor confirmed RMA approved. Parts shipping 2025-06-18." \
--db-path ./tickets.yaml
Step 4: Generate Status Report
Generate a markdown status report for all open tickets or filtered by vendor/priority.
python3 scripts/ticket_manager.py report \
--output ./vendor-ticket-report.md \
--filter-status "open,awaiting-parts,escalated" \
--db-path ./tickets.yaml
Step 5: Identify Stale Tickets
Find tickets with no activity beyond a threshold (default: 7 days).
python3 scripts/ticket_manager.py stale \
--days 7 \
--db-path ./tickets.yaml
Step 6: Escalate Ticket
Mark a ticket for escalation and add escalation notes.
python3 scripts/ticket_manager.py escalate \
--ticket-id "SR-2025-001234" \
--reason "No response for 10 days despite P1 priority" \
--db-path ./tickets.yaml
Ticket States
| State | Description |
|---|---|
open | Newly created, awaiting vendor acknowledgment |
acknowledged | Vendor has confirmed receipt |
in-progress | Vendor actively working on issue |
awaiting-parts | RMA: waiting for replacement parts shipment |
awaiting-customer | Vendor waiting for customer response/action |
escalated | Issue escalated to higher support tier |
resolved | Issue resolved, pending confirmation |
closed | Ticket closed after resolution confirmed |
Output Format
Ticket Database (YAML)
schema_version: "1.0"
tickets:
SR-2025-001234:
vendor: "STX"
ticket_id: "SR-2025-001234"
subject: "HDD failure - server rack 12"
category: "RMA"
priority: "high"
status: "awaiting-parts"
contact: "support@stx.com"
created_at: "2025-06-10T09:30:00Z"
updated_at: "2025-06-15T14:20:00Z"
sla_target: "2025-06-17T09:30:00Z"
escalated: false
timeline:
- timestamp: "2025-06-10T09:30:00Z"
action: "created"
notes: "Submitted RMA request for failed HDD"
- timestamp: "2025-06-11T10:15:00Z"
action: "status_change"
from_status: "open"
to_status: "acknowledged"
notes: "Vendor acknowledged ticket"
- timestamp: "2025-06-15T14:20:00Z"
action: "status_change"
from_status: "acknowledged"
to_status: "awaiting-parts"
notes: "RMA approved. Parts shipping 2025-06-18."
Status Report (Markdown)
# Vendor Support Ticket Status Report
Generated: 2025-06-15T15:00:00Z
## Summary
- Total Open: 5
- High Priority: 2
- Escalated: 1
- Stale (>7 days): 1
## Open Tickets by Vendor
### STX (2 tickets)
| Ticket ID | Subject | Priority | Status | Age | Last Update |
|-----------|---------|----------|--------|-----|-------------|
| SR-2025-001234 | HDD failure - rack 12 | high | awaiting-parts | 5d | 2025-06-15 |
| SR-2025-001180 | Memory error alerts | medium | in-progress | 8d | 2025-06-14 |
### Dell (1 ticket)
| Ticket ID | Subject | Priority | Status | Age | Last Update |
|-----------|---------|----------|--------|-----|-------------|
| DELL-9876543 | RAID controller failure | high | escalated | 12d | 2025-06-13 |
## Tickets Requiring Follow-Up
1. **SR-2025-001180** (STX) - Stale for 8 days, last status: in-progress
2. **DELL-9876543** (Dell) - Escalated, no response for 2 days
Email Integration
Auto-Update from Email Thread
Use with gogcli-expert skill to fetch vendor emails and auto-update tickets:
- Search Gmail for vendor support threads
- Parse latest response for status indicators
- Update ticket timeline automatically
Common status indicators in vendor emails:
- "RMA approved" →
awaiting-parts - "Parts shipped" →
awaiting-partswith tracking info - "Issue resolved" →
resolved - "Waiting for your response" →
awaiting-customer - "Escalated to Tier 2" →
escalated
Resources
scripts/ticket_manager.py-- CLI tool for ticket CRUD operations and reportingreferences/ticket-lifecycle.md-- Vendor ticket states, SLA guidelines, escalation procedures
Key Principles
- Every vendor communication must be logged in the ticket timeline
- Stale ticket detection runs on configurable thresholds (default 7 days)
- Escalation requires documented reason and triggers notification
- Status reports are generated in Markdown for easy sharing
- YAML storage enables version control and diff tracking of ticket changes
レビュー
まだレビューはありません。使ってみた感想をお寄せください。
同じリポジトリのスキル
概要と使いどころ
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.
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.
日本語の概要は準備中です。原文の説明を表示しています。
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。
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.
日本語の概要は準備中です。原文の説明を表示しています。
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.
日本語の概要は準備中です。原文の説明を表示しています。