Works with the AI tools you already use
Claude Code
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Codex CLI
GitHub Copilot
Gemini CLI+20 moreClaude CodeCursorCodex CLIGitHub CopilotGemini CLI
OpenClaw
Manus
Grok+17 agentsCustomer Support Ticket Resolver
Automated support ticket triage, policy-grounded resolution drafting, and escalation logic.
$5
Customer Support Ticket Resolver
Example session with this skill installed
Ticket: My order #4402 arrived with a cracked screen. I want a refund now.
Policy: Damaged items must be reported within 48 hours for refund. We require a photo of damage. Order #4402 delivered 3 hours ago.
- Read your context and instructions
- Compiled the customer support ticket
- Generated the document
The ticket has been analyzed against the provided damage policy and order delivery timestamp. Evidence confirms the report is within the 48-hour window, though photographic evidence is still required.
Ticket Resolution Summary
- Ticket: #4402 - Cracked screen refund request
- Issue Category: Product Issue / Damage
- Customer Intent: Refund / Problem Resolution
- Recommended Resolution: Request Information (Photo)
- Escalation: No Escalation
- Confidence: High
Evidence & Policy Check
| Requirement/Fact | Evidence | Policy/Source | Result |
|---|---|---|---|
| Report Window | Delivered 3h ago / Reported now | Must be within 48h | Pass |
| Damage Proof | Not provided in ticket | Photo required for refund | Fail |
| Order Validity | Order #4402 provided | Internal Order Record | Pass |
Recommended Resolution
- Action: Request photo of the damaged screen.
- Reason: Policy requires visual proof before a refund can be authorized.
- Required information: High-resolution photo of the cracked screen and the shipping box.
- Policy basis: Damaged items policy (48h reporting / photo requirement).
- Confidence: 95%
Customer Response
Hi there, I am sorry to hear that your order arrived with a cracked screen. Since the order was delivered just a few hours ago, we can certainly look into a refund for you. To proceed with the claim, please reply to this message with a clear photo of the damage to the screen and the condition of the exterior packaging. Once we receive those details, we will finalize the resolution for you.
Internal Note
Issue: Damaged product reported by customer.
Intent: Full refund.
Evidence: Order #4402 confirmed delivered today. Timeline is valid.
Policy: Refund requires photo proof within 48 hours.
Action: Pending customer photo.
Escalation: None needed at this stage.
Missing Information: Photo of damage.
Next Step: Await customer reply with attachments.
Next steps
- Send the drafted response to the customer via the helpdesk.
- Tag the ticket as "Awaiting Customer Evidence."
- Once the photo is received, process the refund per the Damaged Items Policy.
customer-support-ticket-resolver.pdf
PDF · document
Example file from a real run - the skill writes it into your workspace.
Connects securely to your tools. The creator never sees your data.
What you get
About this skill
The problem
Support teams often struggle with inconsistent ticket resolutions and policy drift across large backlogs. Manual triage is slow, prone to human error, and frequently misses critical internal context or policy exceptions.
What it does
- Classifies tickets by primary and secondary issue categories and detects specific customer intent.
- Cross-references customer claims against your specific product documentation and internal policies.
- Generates structured evidence tables comparing ticket facts to policy requirements.
- Drafts professional customer-facing replies alongside private internal resolution notes.
- Determines escalation necessity based on fraud risks, safety concerns, or authorization limits.
Why this beats prompting it yourself
General prompts often hallucinate refund amounts or fabricate shipping promises. This skill enforces a strict separation between verified facts and customer assumptions, ensuring every response is grounded in your provided documentation rather than LLM guesswork.
Use cases
- Automating the first-pass triage and drafting for e-commerce return requests.
- Standardizing technical support troubleshooting steps based on internal wikis.
- Audit-ready ticket processing where internal notes must map directly to policy clauses.
- Prioritizing support backlogs based on business impact and urgency signals.
Known limitations
Does not execute actions in CRMs directly. Requires manual input of relevant policy text and order data to avoid hallucinations. Marks missing data as Not Provided rather than searching external webs.
How to install
Works the same in every agent - Claude, Cursor, Codex, Copilot and 20+ more.
- 1
Download the ZIP
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- 2
Unzip into your skills folder
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- 3
Ask your agent to use it
Restart the agent if it was already running. It picks the skill up automatically - no config needed.
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Click the path to copy it. Create the folder if it does not exist yet.
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