twilio-debugging-observability

Planning skill for transactional notifications, alerts, and reminders. Qualifies the developer's needs across urgency, channel selection, delivery confirmation, and fallback patterns to recommend the right Twilio notification architecture.

Choose the right Twilio authentication method and implement it correctly. Covers Auth Token (testing only), API Keys (production standard), OAuth2 client_credentials (time-limited bearer tokens), Access Tokens (client-side SDKs), and test credentials.

Handle rate limits, retries, and failures when building on Twilio at scale. Covers 429 exponential backoff with jitter, per-number throughput limits, StatusCallback resilience, thin-receiver pattern, and fallback chains.

Manage regulatory compliance for international phone numbers. Covers what bundles are, which countries require them, how to create End-Users and Supporting Documents, evaluate and submit bundles, fix evaluation failures, update bundles when …

Send RCS Business Messages via Twilio. Covers compliance onboarding (7-part US process), sender profile setup, sending rich cards and carousels, SMS fallback, device support (Android + iOS 18 caveats), and common errors. …

Set up and manage Twilio Organizations for centralized account and user governance. Covers the Organization > Account > Subaccount hierarchy, roles (Owner/Admin/Standard), managed vs independent accounts, domain registration, SSO enforcement, SCIM provisioning …

Choose the right Twilio number type and sender BEFORE building. Covers phone numbers (local, toll-free, short code, mobile), alphanumeric sender IDs, WhatsApp senders, RCS agents, international availability, and regulatory bundles.

Planning skill that helps the developer pick the right Twilio messaging channel — SMS, MMS, RCS, or WhatsApp — for a given use case.

The HyperFrames CLI by job - scaffold, check, look at frames, edit the timeline, preview, render locally or in the cloud, publish, project history - plus reading its JSON and recovering from …

Build, deploy, evaluate, optimize, fine-tune, and manage Microsoft Foundry agents, models, and resources end to end. USE FOR: foundry, azd ai agent, azd provision/deploy, hosted agent scaffold/develop/run/deploy/troubleshoot, prompt agent, managed harness agent …

Debug Azure production issues using AppLens, Azure Monitor, resource health, and safe triage, including evidence-only diagnosis without live access.

Prepare azd-based Azure projects for deployment: generates azure.yaml, infrastructure (Bicep/Terraform), and Dockerfiles for the Azure Developer CLI (azd) workflow.

Build and troubleshoot Azure AI Search, Speech, OpenAI, and Document Intelligence apps. WHEN: AI Search, query search, vector search, hybrid search, semantic search, speech-to-text, text-to-speech, transcribe, Speech SDK logs, session ID, result …

Execute Azure deployments for ALREADY-PREPARED applications that have existing .azure/deployment-plan.md and infrastructure files. DO NOT use this skill when the user asks to CREATE a new application — use azure-prepare instead.

Pre-deployment validation for Azure readiness. Run deep checks on configuration, infrastructure (Bicep or Terraform), RBAC role assignments, managed identity permissions, and prerequisites before deploying.

List, find, and show Azure resources across subscriptions or resource groups. Handles prompts like "list the websites in my subscription", "list my web apps", "show my app services", "list virtual machines", "list …