skills/twilio-communications/SKILL.md
--- name: twilio-communications description: Build communication features with Twilio: SMS messaging, voice calls, WhatsApp Business API, and user verification (2FA). Covers the full spectrum from simple notifications to complex IVR systems a... category: AI & Agents source: antigravity tags: [python, api, ai, workflow] url: https://github.com/sickn33/antigravity-awesome-skills/tree/main/skills/twilio-communications --- # Twilio Communications ## Patterns ### SMS Sending Pattern Basic patte
npx skillsauth add ranbot-ai/awesome-skills skills/twilio-communicationsInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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Basic pattern for sending SMS messages with Twilio. Handles the fundamentals: phone number formatting, message delivery, and delivery status callbacks.
Key considerations:
When to use: ['Sending notifications to users', 'Transactional messages (order confirmations, shipping)', 'Alerts and reminders']
from twilio.rest import Client
from twilio.base.exceptions import TwilioRestException
import os
import re
class TwilioSMS:
"""
SMS sending with proper error handling and validation.
"""
def __init__(self):
self.client = Client(
os.environ["TWILIO_ACCOUNT_SID"],
os.environ["TWILIO_AUTH_TOKEN"]
)
self.from_number = os.environ["TWILIO_PHONE_NUMBER"]
def validate_e164(self, phone: str) -> bool:
"""Validate phone number is in E.164 format."""
pattern = r'^\+[1-9]\d{1,14}$'
return bool(re.match(pattern, phone))
def send_sms(
self,
to: str,
body: str,
status_callback: str = None
) -> dict:
"""
Send an SMS message.
Args:
to: Recipient phone number in E.164 format
body: Message text (160 chars = 1 segment)
status_callback: URL for delivery status webhooks
Returns:
Message SID and status
"""
# Validate phone number format
if not self.validate_e164(to):
return {
"success": False,
"error": "Phone number must be in E.164 format (+1234567890)"
}
# Check message length (warn about segmentation)
segment_count = (len(body) + 159) // 160
if segment_count > 1:
print(f"Warning: Message will be sent as {segment_count} segments")
try:
message = self.client.messages.create(
to=to,
from_=self.from_number,
body=body,
status_callback=status_callback
)
return {
"success": True,
"message_sid": message.sid,
"status": message.status,
"segments": segment_count
}
except TwilioRestException as e:
return self._handle_error(e)
def _handle_error(self, error: Twilio
Use Twilio Verify for phone number verification and 2FA. Handles code generation, delivery, rate limiting, and fraud prevention.
Key benefits over DIY OTP:
Google found SMS 2FA blocks "100% of automated bots, 96% of bulk phishing attacks, and 76% of targeted attacks."
When to use: ['User phone number verification at signup', 'Two-factor authentication (2FA)', 'Password reset verification', 'High-value transaction confirmation']
from twilio.rest import Client
from twilio.base.exceptions import TwilioRestException
import os
from enum import Enum
from typing import Optional
class VerifyChannel(Enum):
SMS = "sms"
CALL = "call"
EMAIL = "email"
WHATSAPP = "whatsapp"
class TwilioVerify:
"""
Phone verification with Twilio Verify.
Never store OTP codes - Twilio handles it.
"""
def __init__(self, verify_service_sid: str = None):
self.client = Client(
os.environ["TWILIO_ACCOUNT_SID"],
os.environ["TWILIO_AUTH_TOKEN"]
)
# Create a Verify Service in Twilio Console first
self.service_sid = verify_service_sid or os.environ["TWILIO_VERIFY_SID"]
def send_verification(
self,
to: str,
channel: VerifyChannel = VerifyChannel.SMS,
locale: str = "en"
) -> dict:
"""
Send verification code to phone/email.
Args:
to: Phone number (E.164) or email
channel: SMS, call, email, or whatsapp
locale: Language code for message
Returns:
Verification status
"""
try:
verification = self.client.verify \
.v2 \
.services(self.service_sid) \
.verifications \
.create(
to=to,
channel=channel.value,
locale=locale
)
return {
"success": True,
"status": verification.status, # "pending"
"channel": channel.value,
"valid": verification.valid
}
except Twi
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--- name: falsify description: The scientific thinking protocol for AI agents. Use when facing complex, ambiguous, or high-stakes questions where guessing is costly: hypothesis → attempt to break it → evidence → calibrated co category: Creative & Media source: antigravity tags: [markdown, claude, ai, agent, llm, template, design, security, rag, cro] url: https://github.com/sickn33/antigravity-awesome-skills/tree/main/skills/falsify --- # Falsify — The Scientific Thinking Protocol > Think like
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