call-screening
Screen incoming phone calls with an AI receptionist. Amber answers calls, identifies the caller, determines the purpose, takes a message, and delivers a structured summary. Use when the user wants to set up call screening, check screened call results, or customize screening behavior.
Best use case
call-screening is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Screen incoming phone calls with an AI receptionist. Amber answers calls, identifies the caller, determines the purpose, takes a message, and delivers a structured summary. Use when the user wants to set up call screening, check screened call results, or customize screening behavior.
Teams using call-screening 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/call-screening/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How call-screening Compares
| Feature / Agent | call-screening | 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?
Screen incoming phone calls with an AI receptionist. Amber answers calls, identifies the caller, determines the purpose, takes a message, and delivers a structured summary. Use when the user wants to set up call screening, check screened call results, or customize screening behavior.
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
# Call Screening Amber acts as an AI receptionist for inbound calls. She answers professionally, gathers information, and delivers structured summaries — so you only pick up calls that matter. ## Screening Flow 1. **Greeting** — Amber answers with a customizable greeting 2. **Identification** — Asks who's calling and what it's regarding 3. **Information gathering** — Collects caller name, callback number, message 4. **CRM lookup** — Checks if the caller is a known contact (auto-enriches context) 5. **Calendar check** — If the caller wants to book time, checks availability 6. **Summary delivery** — Sends a structured summary with all captured details ## MCP Tools ### start_screening Enable inbound call screening on the configured Twilio number. ### stop_screening Disable screening (calls ring through normally). ### get_screening_status Check whether screening is currently active. ## Customization The screening personality, greeting, and behavior are defined in AGENT.md. Users can edit this file to: - Change the assistant's name and personality - Customize the greeting message - Set business hours and after-hours behavior - Define which callers should be put through vs. screened - Add organization-specific context (company name, services, etc.)
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