Customer Support Chatbot Script Designer (Automation Ready 2)
Customer Support Chatbot Script Designer (Automation Ready 2)
ChatGPTClaudeGeminiβ Human review requiredπ Needs web accessπ Needs project contextπ MCP-readyβ‘ Automation-ready
Health
100/100
β² 19
π 148 copies
Trigger Phrase
Run automation: Customer Support Chatbot Script
Prompt
284 words# AUTOMATION: Customer Support Chatbot Script Designer
**Automation stage:** Automation-Ready β this workflow is designed for use with Make, n8n, Zapier, or MCP.
**Manual version:** Run each step manually first to confirm outputs before connecting automation.
---
## Trigger
**Phrase:** `Run automation: Customer Support Chatbot Script`
**Trigger type:** Manual / scheduled / webhook (configure in your automation tool)
## Input Schema
```
{
"context": "[describe what this automation receives as input]",
"goal": "[what a successful output looks like]",
"format": "[output format required by the next step or tool]"
}
```
## Core Prompt
You are a conversation designer.
Inputs:
- Product/service: [Product/Service]
- Industry: [Industry]
Design a chatbot script handling: 1) greeting 2) 5 common FAQs 3) order-status flow 4) complaint escalation 5) human handoff. Keep tone warm and on-brand.
Constraints:
- Cover the unhappy path and explicit handoff; use [placeholders] for integrations - no invented data.
- Structured as flows.
Output: a chatbot script.
## Output Schema
```
{
"output": "[structured result]",
"status": "complete | needs_review | failed",
"issues": "[list any problems found β empty if none]",
"handoff": "[summary for the next step or tool]"
}
```
## Human Approval Checkpoint
β οΈ **Require human review before:**
- Sending to external recipients
- Publishing or posting publicly
- Making financial or legal decisions
- Updating production systems
## Error Handling
- If input is missing required fields: return `status: failed` with list of missing fields
- If output quality is uncertain: return `status: needs_review` with specific reason
- Do not guess missing inputs β fail cleanly with a clear message
## Platform Notes
- **Make / n8n:** Map input fields to the schema above. Add a human approval module before output delivery.
- **Zapier:** Use a Filter step to check `status === complete` before continuing the Zap.
- **MCP:** Register trigger phrase as a tool. Validate input schema before invoking.
**Automation stage:** Automation-Ready β this workflow is designed for use with Make, n8n, Zapier, or MCP.
**Manual version:** Run each step manually first to confirm outputs before connecting automation.
---
## Trigger
**Phrase:** `Run automation: Customer Support Chatbot Script`
**Trigger type:** Manual / scheduled / webhook (configure in your automation tool)
## Input Schema
```
{
"context": "[describe what this automation receives as input]",
"goal": "[what a successful output looks like]",
"format": "[output format required by the next step or tool]"
}
```
## Core Prompt
You are a conversation designer.
Inputs:
- Product/service: [Product/Service]
- Industry: [Industry]
Design a chatbot script handling: 1) greeting 2) 5 common FAQs 3) order-status flow 4) complaint escalation 5) human handoff. Keep tone warm and on-brand.
Constraints:
- Cover the unhappy path and explicit handoff; use [placeholders] for integrations - no invented data.
- Structured as flows.
Output: a chatbot script.
## Output Schema
```
{
"output": "[structured result]",
"status": "complete | needs_review | failed",
"issues": "[list any problems found β empty if none]",
"handoff": "[summary for the next step or tool]"
}
```
## Human Approval Checkpoint
β οΈ **Require human review before:**
- Sending to external recipients
- Publishing or posting publicly
- Making financial or legal decisions
- Updating production systems
## Error Handling
- If input is missing required fields: return `status: failed` with list of missing fields
- If output quality is uncertain: return `status: needs_review` with specific reason
- Do not guess missing inputs β fail cleanly with a clear message
## Platform Notes
- **Make / n8n:** Map input fields to the schema above. Add a human approval module before output delivery.
- **Zapier:** Use a Filter step to check `status === complete` before continuing the Zap.
- **MCP:** Register trigger phrase as a tool. Validate input schema before invoking.
Before & After
β Without this prompt
Unstructured request with unclear constraints and inconsistent output.
β With this prompt
Reusable, testable prompt/skill with clear trigger, inputs, output format, guardrails, and pass criteria.
Install Instructions
Install the skill component first. Map the trigger phrase to your automation tool (Make, n8n, Zapier). Connect inputs and outputs as described. Set a human approval checkpoint before high-risk outputs. Test end-to-end before going live.
Test It
Test command:
Trigger manually with a test input. Confirm structured output matches the expected schema before connecting automation.
Expected output:
Greeting: "Hi! How can I help - [orders] or [a question]?"
Complaint -> empathise -> offer fix -> "connect you to a person?"
Complaint -> empathise -> offer fix -> "connect you to a person?"
Pass criteria:
- Output is structured and machine-readable. Trigger phrase reliably produces the expected output format. Human approval point is clearly flagged before high-risk actions.
β οΈ Guardrails
- Do not execute high-risk actions without a human approval checkpoint. Output must be structured and predictable. Log or flag unexpected inputs rather than guessing. Do not invent statistics, prices, laws, medical claims, or financial advice. Do not leave placeholders unfilled in output. Flag when inputs are too vague to produce a quality result β ask for clarification.
π Context File Tip
Business Context file
β‘ Automation
n8n
π MCP-compatible
