customer-support-autopilot
Classify customer support tickets, draft accurate responses, suggest macros, and route escalations based on risk, SLA, and business impact.
Best use case
customer-support-autopilot is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Classify customer support tickets, draft accurate responses, suggest macros, and route escalations based on risk, SLA, and business impact.
Teams using customer-support-autopilot should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/customer-support-autopilot/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How customer-support-autopilot Compares
| Feature / Agent | customer-support-autopilot | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Classify customer support tickets, draft accurate responses, suggest macros, and route escalations based on risk, SLA, and business impact.
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
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SKILL.md Source
# Customer Support Autopilot ## Purpose Improve support response speed and consistency while reducing risk. ## Core capabilities - classify incoming tickets by intent/severity - draft response suggestions in brand tone - propose macro usage and next actions - route to L1/L2/L3 based on policy - detect risky cases (legal, security, billing, fraud, abuse) ## Guardrails - never invent policy promises - never disclose sensitive internal info - escalate regulated/high-risk cases immediately - include reference IDs when available ## Workflow 1. Parse ticket and extract entities. 2. Classify category + urgency. 3. Draft response with confidence level. 4. Recommend escalation path and SLA. 5. Output macro + notes for agent. ## Output format 1. category + severity 2. draft response 3. escalation recommendation 4. SLA target + required follow-up ## Setup Read [setup.md](setup.md). ## Examples See [examples.md](examples.md).
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