oo-vapiVapi (vapi.ai). Use this skill for ANY Vapi request — reading, creating, updating, and deleting data. Whenever a task involves Vapi, use this skill instead of calling the API directly.
Install via ClawdBot CLI:
clawdbot install oomol/oo-vapiGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Potentially destructive shell commands in tool definitions
curl -fsSL https://cli.oomol.com/install.sh | bashCalls external URL not in known-safe list
https://vapi.aiAudited Jun 4, 2026 · audit v1.0
Generated Oct 11, 2026
A support team uses Vapi assistants to handle inbound calls, transcribe conversations, and generate analytics on call outcomes. They list assistants and calls via the connector, create new assistants for seasonal coverage, and periodically clean up obsolete call records.
A sales team builds squads of Vapi assistants to place outbound calls, then monitors performance through Vapi scorecards and monitoring policies. They create and update assistants with tailored scripts and use analytics queries to measure conversion signals across call data.
An AI engineering team uses Vapi evals to test mock conversations against checkpoint messages, ensuring model behavior meets standards before release. They create and run evals, list eval results, and manage scorecards to track observability metrics over time.
An operations team provisions phone numbers through Vapi using Twilio, Vonage, or Telnyx providers, and manages them inline with assistant routing. They create, list, and delete phone numbers as campaigns scale, and update provider settings when carrier requirements change.
A platform team uploads knowledge files, configures Vapi tools and provider resources like pronunciation dictionaries, and tests TypeScript code tool execution in the Vapi sandbox. They keep assistant behavior consistent by updating tool configurations and retry policies as integrations evolve.
A platform resells or embeds Vapi-powered voice agents to businesses, charging per call minute or per assistant interaction. The connector enables automated provisioning, monitoring, and analytics on top of Vapi's voice infrastructure.
An agency builds and manages custom voice agents and evals for clients across industries, using Vapi as the backend engine. They deliver ongoing optimization through scorecards, monitoring policies, and assistant updates, billing for setup plus retainers.
A managed service handles phone number provisioning, assistant configuration, and call quality oversight for small businesses that lack in-house AI expertise. The connector automates routine tasks like listing calls and updating phone numbers.
💬 Integration Tip
Always fetch the live action schema with `oo connector schema` before building payloads, since Vapi actions require precise field shapes for transcription, voice, and model settings. Treat write and destructive actions carefully by confirming identifiers and using the execution id under `meta.executionId` for auditability.
Scored Oct 10, 2026
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