How does this skill protect the privacy of my audio recordings?

This skill uses the Yap MCP server to process audio locally on your machine, ensuring your sensitive meeting data and voice memos never leave your environment or get uploaded to the cloud.

What specific features are included with the Transcribe Recordings skill?

The skill includes tools for local transcription via NVIDIA Parakeet, automated meeting summarization, action item extraction, and a specialized search function for your Yap dictation history.

Which languages are supported for transcription?

It supports 25 European languages, including English, Spanish, French, German, and Italian, with automatic language detection during the transcription process.

Are there any specific technical requirements for the initial setup?

You will need to have Node.js installed to run the Yap MCP server (`npx -y github:founden-bot/yap-mcp`) and allow for a one-time 670 MB model download during the initial setup.

Can I use this skill with any AI agent?

Yes, because it functions as an MCP (Model Context Protocol) tool, it is compatible with any AI agent or LLM interface that supports the MCP standard, such as Claude Desktop.

Why should I use this skill instead of just prompting my AI to summarize a transcript?

Unlike manual prompting, this skill provides the necessary bridge to your local filesystem, allowing the AI to actually 'hear' and process local files that a standard prompt cannot access.

Yap Transcribe Recordings

Example session with this skill installed

Transcribe ~/Desktop/team-meeting.m4a and list the action items with owners.

Read your context and instructions
Compiled the yap transcribe recordings

Summary

The weekly product sync covered the launch checklist, a pricing question and the support backlog. Transcribed locally with Yap MCP (language detected: English, 41 minutes, nothing uploaded).

Action items

Owner	Task	Due
Maya	Finalize the launch checklist and share it with the team	Friday
Jon	Draft the pricing FAQ from the questions raised in the meeting	Next Tuesday
Sam	Clear the five oldest support tickets	Thursday

Decisions

Launch date stays as planned.
Pricing page copy will be reviewed once the FAQ is ready.

Transcript excerpt

[00:00:12] Maya: Let us start with the launch checklist, we are two items away from done.
[00:03:40] Jon: On pricing, customers keep asking what happens after the free start.
[00:09:05] Sam: The support backlog is down to nine tickets, five are over a week old.

Connects securely to your tools. The creator never sees your data.

About this skill

Transcribing meetings or voice memos often requires uploading sensitive data to the cloud, risking privacy and data security. This skill utilizes the Yap MCP server to process audio files locally on your machine. It handles everything from raw transcription to structured meeting notes without your data ever leaving your local environment.

What it does

Local transcription converts audio and video files into text using NVIDIA Parakeet models.
Automated summarization creates condensed versions of long recordings, organized by timestamped sections.
Action item extraction identifies decisions, owners, and deadlines directly from the spoken text.
Dictation search queries the history of the Yap dictation app to find past recordings by keyword or date.
Multilingual support automatically detects and transcribes content in 25 European languages.

How it works

Provide the absolute path to an audio or video file located on your local drive.
The skill invokes the transcribe_audio tool to generate a text output with optional timestamps.
For existing dictations, use the search_dictations command with a keyword query and a day-range window.
The output is formatted according to your request: clean transcripts, summaries, or structured notes.

Frameworks & tools

This skill requires the Yap MCP server (npx -y github:founden-bot/yap-mcp) and utilizes NVIDIA Parakeet for local speech-to-text processing.

Why this beats prompting it yourself

Generic prompts cannot access local file paths or interface with the Yap MCP tools to perform the actual heavy lifting of audio processing. This skill bridges the gap between your LLM and your local filesystem, ensuring zero-latency data transfers and total privacy.

Use cases

Transcribe long interviews with accurate timestamps for easy reference.
Generate structured meeting minutes with clear owners and due dates from a Zoom recording.
Locate specific past voice memos by searching through dictation history.
Convert multi-language lecture recordings into localized summaries.

Known limitations

The first run requires a one-time 670 MB model download. It is limited to the 25 European languages supported by the local Parakeet model.

How to use

Skills on Agensi run inside your AI agent. Copy the prompt, paste it into your agent, and it connects to Agensi and installs this skill for you. If a payment is needed, your agent shows it to you first.

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Yap Transcribe Recordings