Calling Skills for AI Agents

Interesting timing for this launch given how quickly AI agents are moving from chat to real-time interaction.Curious where you see the biggest adoption curve happening first:AI sales/support agents handling live customer conversations?Internal enterprise copilots?Consumer-facing assistants?Also wondering how you’re thinking about trust signals in voice/video interactions with AI agents. Do you think the winning platforms will need visible “human handoff” layers and transparency features built directly into the calling experience?

We built something like this from scratch once. The main issue was video latency when participants were far away from each other. You need servers in different parts of the world and a lot of other things. Did you manage to solve this problem somehow?

Adding calling via a single npx command is a real DX win. Most teams spend days on integration boilerplate that should be a one-liner. We've been building in the customer success for developer tool companies space, and Calling Skills for AI Agents touches on something we think about a lot. How does the skill handle conflicts with existing auth in apps that already have a communication layer?

The SDK-first design here is smart. Wrapping WebRTC into agent-callable tools means the agent owns the session lifecycle rather than punting that complexity to the app layer. At RetainSure we've been building AI workflows for customer success and native call-handling always meant a separate service layer. How are you handling SIP/PSTN bridging for enterprise customers who need traditional telephony alongside IP calling?

Does it support real time transcripts and tool events so the agent can act during the call?

Congrats on the launch! The “drop in a skill file and it just works” approach is honestly the missing piece for a lot of AI-assisted development workflows. Very smart idea to handle SSR safety, auth flow, and setup automatically instead of making developers fight docs for two hours first.

Hey Product Hunt! Swapnil here, AVP engineering at CometChat.A few months ago we launched Chat Skills, a skill file that lets your AI coding agent integrate CometChat's full chat product in under 15 minutes. The response was incredible. Today we're back with the next one: Calling Skills.v4.2.0 of the CometChat Skills package adds first-class voice and video calling integration across 6 platform families: React, Next.js, React Native, Angular, Android, iOS, and Flutter.Here's what makes it different from just pointing your agent at the docs:The dispatcher asks one question before it touches your project: Ringing or Session? These are fundamentally different integration paths. Ringing means a full incoming/outgoing call surface, CallKit on iOS, ConnectionService on Android, VoIP push to wake the device. Session means a link-driven meeting room where both peers join the same session ID, no ringing surface, no Chat SDK dependency. Getting this wrong mid-integration is expensive. The skill resolves it up front.Once you pick a mode, the agent detects your framework and SDK version, scaffolds the correct file structure, and runs a 23-point verification pass covering VoIP push configuration, SDK initialization order, hangup teardown, permission strings, and API drift issues we caught and fixed across Android, iOS, Flutter, and React Native.If you're already using Chat Skills, this is fully additive. Same install, same mental model, no changes to your existing chat integration.Drop your questions below, I'm here all day.