Tencent SkillHub · Communication & Collaboration

ClawCall AI

Run AI-powered outbound phone calls with Telnyx + Deepgram Voice Agent. Use when the user wants real phone outreach (follow-ups, confirmations, reminders, callbacks) with configurable personality, task context, model, and voice.

skill openclawclawhub Free

0 Downloads

0 Stars

0 Installs

0 Score

High Signal

⬇ 0 downloads ★ 0 stars Unverified but indexed

Install for OpenClaw

Quick setup

Download the package from Yavira.
Extract the archive and review SKILL.md first.
Import or place the package into your OpenClaw setup.

Requirements

Target platform: OpenClaw
Install method: Manual import
Extraction: Extract archive
Prerequisites: OpenClaw
Primary doc: SKILL.md

Package facts

Download mode: Yavira redirect
Package format: ZIP package
Source platform: Tencent SkillHub
What's included: SKILL.md, package-lock.json, package.json, telnyx_voice_agent.js

Validation

Use the Yavira download entry.
Review SKILL.md after the package is downloaded.
Confirm the extracted package contains the expected setup assets.

Install with your agent

Agent handoff

Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.

Download the package from Yavira.
Extract it into a folder your agent can access.
Paste one of the prompts below and point your agent at the extracted folder.

New install

I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete.

Upgrade existing

I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run.

Open Send to Agent page Open JSON manifest Open Markdown brief

Trust & source

Release facts

Source: Tencent SkillHub
Verification: Indexed source record
Version: 1.0.1

Provenance

Publisher: shreyjindal81
Source page: View original listing
Canonical URL: Open canonical page

Documentation

ClawHub primary doc Primary doc: SKILL.md 12 sections Open source page

ClawCall AI - Outbound Calls

Make realistic AI phone calls with natural conversation flow.

IMPORTANT: Providing Context

When invoking this skill, you MUST provide rich, detailed context. The voice agent will NOT assume any information - it only uses what you explicitly provide.

Required Information to Gather:

Phone number (E.164 format: +15551234567) Personality - Who is the agent? Be specific: BAD: "a receptionist" GOOD: "Emma, a warm veterinary receptionist at Pawsitive Care Animal Hospital who has worked there for 5 years and knows all the vets by name" Task - What is the call about? Include ALL relevant details: BAD: "follow up about their pets" GOOD: "Follow up with the Hendersons about Max (golden retriever, had knee surgery last week, needs post-op checkup, should be taking Rimadyl twice daily). Also remind them about the three hundred twenty-five dollar balance. Available slots: Wednesday 2pm, Thursday 10am or 4pm."

Context Checklist:

Names (caller's name, business name, contact's name) Dates and times (be specific: "Tuesday January 15th at 3:00 PM") Relevant details (appointment type, order number, service details) Fallback options if needed (reschedule times, alternative actions) Any reference numbers or IDs the agent might need

Prerequisites

Install JavaScript dependencies (one-time): npm --prefix {baseDir} install If using --ngrok, NGROK_AUTH_TOKEN must be configured and the ngrok account must be verified. If not using --ngrok, set PUBLIC_WS_URL to a reachable wss://.../telnyx endpoint.

Basic call:

node {baseDir}/telnyx_voice_agent.js --to "+15551234567" --ngrok \ --personality "<detailed personality>" \ --task "<detailed task with all context>"

Full example (complex multi-topic call):

node {baseDir}/telnyx_voice_agent.js \ --to "+15551234567" \ --ngrok \ --personality "Emma, a warm and experienced veterinary receptionist at Pawsitive Care Animal Hospital. You've worked there for 5 years and genuinely love animals. You know all the vets by name - Dr. Chen specializes in surgery, Dr. Patel handles general wellness, and Dr. Morrison is the exotic animals expert. You're organized but personable." \ --task "Call to follow up with the Hendersons about their pets. They have three animals at your clinic: 1) Max, a 7-year-old golden retriever who had knee surgery last week - need to schedule his two-week post-op checkup and confirm he's been taking his pain medication (Rimadyl, twice daily with food). 2) Whiskers, a 12-year-old tabby cat due for her senior blood panel and dental cleaning - Dr. Patel recommended this at her last visit in October. 3) Pickles, their bearded dragon who needs his annual wellness exam. Also remind them that Max's surgery bill of eight hundred fifty dollars has a remaining balance of three hundred twenty-five dollars after insurance. Payment plans are available if needed. If they want to schedule, available slots this week: Wednesday 2pm, Thursday 10am or 4pm, Friday 9am." \ --greeting "Hi there! This is Emma calling from Pawsitive Care Animal Hospital. Is this the Henderson household?"

Follow-up calls with transcript context:

When calling back after a previous conversation, include the full transcript in the task to maintain continuity. The agent will understand the context and pick up where you left off. node {baseDir}/telnyx_voice_agent.js \ --to "+15551234567" \ --ngrok \ --personality "Emma, a warm veterinary receptionist at Pawsitive Care. You called earlier and promised to call back with info." \ --task "You're calling back as promised. Here's the previous transcript: ---PREVIOUS CALL TRANSCRIPT--- Emma: Hi! This is Emma from Pawsitive Care Animal Hospital. User: Hi, yes. Emma: I wanted to confirm the email for your payment portal, but I didn't have it handy. Would you like me to call back? User: Sure. Emma: Great, I'll call you right back with that info. ---END TRANSCRIPT--- You looked up the email - it's jhenderson@gmail.com. Call back to confirm the email is correct and let them know the payment portal link has been sent." \ --greeting "Hi! It's Emma again from Pawsitive Care, calling back like I said I would." This is useful when: The agent promised to call back with information You need to follow up on a previous conversation Continuing a multi-part interaction

Voice Selection

Always use ElevenLabs voices unless user specifies otherwise: elevenlabs/rachel - Female (default) elevenlabs/adam - Male elevenlabs/josh - Male (deeper voice)

Model Selection

Fast default: gpt-4o-mini

Output

The call transcript will be returned, containing the full conversation. Use this to: Confirm task completion Extract information gathered during the call Report back to the user You must return the full call transcript to the user after the call ends. At call end, recording lifecycle logs are also emitted: Recording URL discovered Recording saved to local disk (RECORDINGS_DIR, default ./recordings) Recording deleted from the Telnyx portal after successful local save

Notes

The agent will NEVER assume information not provided If asked something it doesn't know, it will offer to hang up and call back ngrok tunnel is automatically managed Environment variables must be configured in OpenClaw settings If a call connects with no audio, check DEEPGRAM_API_KEY validity/entitlement first Recordings are enabled by default and persisted locally

Category context

Messaging, meetings, inboxes, CRM, and teammate communication surfaces.

Source: Tencent SkillHub

Largest current source with strong distribution and engagement signals.

Package contents

Included in package

2 Config1 Docs1 Scripts

SKILL.md Primary doc
telnyx_voice_agent.js Scripts
package-lock.json Config
package.json Config