How do I install the Retellai Core Workflow A skill?

Run npx skillmds@latest add micsapp/retellai-core-workflow-a in your terminal (requires Node.js), paste this page's agent-chat prompt into Claude, Cursor, or any MCP-connected agent, or download the SKILL.md file and copy it into your agent's skills directory.

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Which AI agents work with Retellai Core Workflow A?

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Is Retellai Core Workflow A free to use?

Yes. Installing skills from SkillMD is free. This skill is licensed under MIT.

Who published Retellai Core Workflow A?

micsapp (@micsapp) published this skill. Their other Agent Skills are listed on their SkillMD profile.

Retellai Core Workflow A by micsapp

Name: Retellai Core Workflow A
Rating: 4.5 (4 reviews)
Author: micsapp

Retellai Core Workflow A

Execute Retell AI primary workflow: Core Workflow A. Use when implementing primary use case, building main features, or core integration tasks. Trigger with phrases like "retellai main workflow", "primary task with retellai".

micsapp Updated Sep 8, 2026 3 repo stars

File contents

Retell AI Core Workflow A

Overview

Primary money-path workflow for Retell AI. This is the most common use case. Retell AI is a platform for building conversational voice agents powered by large language models. It handles the telephony integration, real-time speech-to-text, LLM orchestration, and text-to-speech pipeline so that you can focus on defining the agent's conversation logic. It is commonly used for automated customer service calls, appointment booking, outbound sales dialing, and interactive voice response systems.

Prerequisites

Completed retellai-install-auth setup
Understanding of Retell AI core concepts
Valid API credentials configured

Instructions

Step 1: Initialize

Authenticate with the Retell AI API and verify that your agent is configured with the correct LLM model, voice profile, and conversation script. Confirm that your phone number is registered and associated with the agent. Review the agent's interrupt sensitivity and response latency settings to ensure they produce a natural conversation pace for your target use case.

// Step 1 implementation

Step 2: Execute

Initiate a call using the Retell AI API by providing the target phone number and any dynamic variables that should be injected into the conversation script for this specific call (e.g., the customer's name or appointment time). Monitor the call status and transcription stream in real time. Review the call recording and transcript after the call completes to assess conversation quality and identify script improvements.

// Step 2 implementation

Step 3: Finalize

Extract the call outcome and any data collected during the conversation from the Retell AI call record. Update your CRM or scheduling system with the result. For high-volume outbound campaigns, aggregate call outcomes across the batch to measure connection rate, completion rate, and goal achievement rate.

// Step 3 implementation

Output

Completed Core Workflow A execution
Voice call completed with full transcript and recording available
Call outcome and collected data exported for downstream use
Success confirmation or error details if the call could not be connected

Error Handling

Error	Cause	Solution
Error 1	Cause	Solution
Error 2	Cause	Solution

Examples

Complete Workflow

// Complete workflow example

Common Variations

Variation 1: Description
Variation 2: Description

Resources

Next Steps

For secondary workflow, see retellai-core-workflow-b.

---name: retellai-core-workflow-adescription: Execute Retell AI primary workflow: Core Workflow A. Use when implementing primary use case, building main features, or core integration tasks. Trigger with phrases like "retellai main workflow", "primary task with retellai".license: MIT---# Retell AI Core Workflow A## OverviewPrimary money-path workflow for Retell AI. This is the most common use case. Retell AI is a platform for building conversational voice agents powered by large language models. It handles the telephony integration, real-time speech-to-text, LLM orchestration, and text-to-speech pipeline so that you can focus on defining the agent's conversation logic. It is commonly used for automated customer service calls, appointment booking, outbound sales dialing, and interactive voice response systems.## Prerequisites- Completed `retellai-install-auth` setup- Understanding of Retell AI core concepts- Valid API credentials configured## Instructions### Step 1: InitializeAuthenticate with the Retell AI API and verify that your agent is configured with the correct LLM model, voice profile, and conversation script. Confirm that your phone number is registered and associated with the agent. Review the agent's interrupt sensitivity and response latency settings to ensure they produce a natural conversation pace for your target use case.```typescript// Step 1 implementation```### Step 2: ExecuteInitiate a call using the Retell AI API by providing the target phone number and any dynamic variables that should be injected into the conversation script for this specific call (e.g., the customer's name or appointment time). Monitor the call status and transcription stream in real time. Review the call recording and transcript after the call completes to assess conversation quality and identify script improvements.```typescript// Step 2 implementation```### Step 3: FinalizeExtract the call outcome and any data collected during the conversation from the Retell AI call record. Update your CRM or scheduling system with the result. For high-volume outbound campaigns, aggregate call outcomes across the batch to measure connection rate, completion rate, and goal achievement rate.```typescript// Step 3 implementation```## Output- Completed Core Workflow A execution- Voice call completed with full transcript and recording available- Call outcome and collected data exported for downstream use- Success confirmation or error details if the call could not be connected## Error Handling| Error | Cause | Solution ||-------|-------|----------|| Error 1 | Cause | Solution || Error 2 | Cause | Solution |## Examples### Complete Workflow```typescript// Complete workflow example```### Common Variations- Variation 1: Description- Variation 2: Description## Resources- [Retell AI Documentation](https://docs.retellai.com)- [Retell AI API Reference](https://docs.retellai.com/api)## Next StepsFor secondary workflow, see `retellai-core-workflow-b`.

Frequently asked questions