twilio-voice-twiml Skill
Build voice call logic using TwiML (Twilio Markup Language). Covers the core verbs (Say, Play, Gather, Dial, Record, Conference), generating TwiML with Python and Node.js SDKs, and a complete inbound call IVR example. Use this skill to define call behavior for inbound or outbound calls. Published by openai in plugins.
Decision snapshot
Is this a fit?
Developers using plugins, Includes SKILL.md, Reusable instructions
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Copy skill directory
20 days ago
No specific cautions were detected. Review the source and requested permissions before installing.
What is twilio-voice-twiml Skill?
Build voice call logic using TwiML (Twilio Markup Language). Covers the core verbs (Say, Play, Gather, Dial, Record, Conference), generating TwiML with Python and Node.js SDKs, and a complete inbound call IVR example. Use this skill to define call behavior for inbound or outbound calls. Published by openai in plugins. This profile combines repository metadata with install, compatibility, and usage signals so developers can quickly decide whether it fits their agent workflow before opening the source repository.
Automated repository signals based on public metadata such as recency, license, installation evidence, and adoption. These are not a security audit or endorsement. See how SkillIndex evaluates profiles.
Key capabilities
- Includes SKILL.md support
- Reusable instructions support
- Developers using plugins
Declared skill metadata
- Source file: plugins/twilio-developer-kit/skills/twilio-voice-twiml/SKILL.md
These fields retain source and confidence evidence from the indexed SKILL.md.
Compatibility and setup
- Install or run with Copy skill directory
When to use twilio-voice-twiml Skill
- Use it for developers using plugins.
Built with
Editorial notes
Source
- Creator: openai
- Repository: openai/plugins
- Skill file: plugins/twilio-developer-kit/skills/twilio-voice-twiml/SKILL.md
What it does
Build voice call logic using TwiML (Twilio Markup Language). Covers the core verbs (Say, Play, Gather, Dial, Record, Conference), generating TwiML with Python and Node.js SDKs, and a complete inbound call IVR example. Use this skill to define call behavior for inbound or outbound calls.
Skill instructions
Overview TwiML is XML that Twilio executes during a call. Your server returns a TwiML document in response to a Twilio webhook POST, and Twilio executes it. Caller → Twilio → POST to your webhook → Your server returns TwiML → Twilio executes it --- Prerequisites - Twilio account with a voice-capable phone number — New to Twilio? See twilio-account-setup - Webhook endpoint returning TwiML with Content-Type: text/xml - SDK (for programmatic generation): pip install twilio / npm install twilio --- Quickstart A minimal inbound call handler that greets the caller and presents a menu: Python (Flask) python from flask import Flask, request from twilio.twiml.voiceresponse import VoiceResponse app = Flask(name) @app.route("/voice", methods=["POST"]) def handlecall(): response = VoiceResponse() gather = response.gather(numdigits=1, action="/menu-choice") gather.say("Welcome to Acme. Press 1 for sales, 2 for support.") response.redirect("/voice") Loop if no input return str(response) @app.route("
Verified compatibility and discovery
Frequently asked questions
What is twilio-voice-twiml?
twilio-voice-twiml is a open-source AI agent skill with Copy skill directory. Build voice call logic using TwiML (Twilio Markup Language). Covers the core verbs (Say, Play, Gather, Dial, Record, Conference), generating TwiML with Python and Node.js SDKs, and a complete inbound.
Who is twilio-voice-twiml best for?
twilio-voice-twiml is best for reusing agent instructions, scripts, and references.
How do I install twilio-voice-twiml?
Install or run twilio-voice-twiml using Copy skill directory. Check twilio-voice-twiml for the latest setup command.
Is twilio-voice-twiml actively maintained?
twilio-voice-twiml may need a closer maintenance check before production use.
Project health auto-fetched from the source repository.
Maintain this resource?
Review this source-backed profile, send a correction with evidence, or link to it from your documentation. Claims verify your relationship to the project; profile facts still require source evidence and editorial review.
