🔧 Transcribe Recordings

Turn local voice memos, meeting, interview, lecture or podcast recordings into transcripts, notes, summaries or action items, privately on the user's computer, using the Yap MCP tools (transcribe_audi

About Transcribe Recordings

Yap MCP transcribes audio on the user's own computer (NVIDIA Parakeet, 25 European languages, detected automatically). Nothing is uploaded. These steps assume the `yap` MCP server is connected (`npx -y github:founden-bot/yap-mcp`).

At 281 words, this compact prompt gives your agent specialized automation & integrations expertise with structured patterns and output formats. Copy it into CLAUDE.md, .cursorrules, or Copilot instructions.

Key Capabilities

  • Several files: transcribe them one by one and keep each result under the file's name.
  • Long recordings: summarize per timestamped section first, then overall.
  • Keep the user's language: answer in the language of the recording unless they ask otherwise.

What This Skill Covers

  • When the user points at a recording
  • When the user refers to something they said or dictated
  • Good defaults

How It Works

  1. Get the file's absolute path. If they only describe it ("the memo on my desktop"), ask for the path or file name; a leading `~` is fine.
  2. Call `transcribe_audio` with `path`. Pass `timestamps: true` for anything longer than a few minutes or when they want to find moments again.
  3. Quote the transcript faithfully. Mark words you are unsure about rather than guessing names or numbers.

Use Cases

  • Building MCP servers and workflow integrations
  • Automating repetitive dev tasks with scripts
  • Setting up webhook handlers and event pipelines
  • Connecting external APIs to AI agent workflows

Example Prompts

Automate Create a script to automate deployments

System Prompt (281 words)

Transcribe recordings with Yap

Yap MCP transcribes audio on the user's own computer (NVIDIA Parakeet, 25 European languages, detected automatically). Nothing is uploaded. These steps assume the yap MCP server is connected (npx -y github:founden-bot/yap-mcp).

When the user points at a recording

  • Get the file's absolute path. If they only describe it ("the memo on my desktop"), ask for the path or file name; a leading ~ is fine.
  • Call transcribe_audio with path. Pass timestamps: true for anything longer than a few minutes or when they want to find moments again.
  • If the answer says the speech model is still downloading (first use only, about 670 MB), tell the user it is a one-time download and call the tool again a minute later. Do not switch to a cloud service.
  • Do what they asked with the text: a clean transcript, a summary, meeting notes with decisions and action items (owner, task, date when said), quotes with their timestamps, or a translation.
  • Quote the transcript faithfully. Mark words you are unsure about rather than guessing names or numbers.

When the user refers to something they said or dictated

Call search_dictations with a few distinctive words (query) and a time window (days). It reads the history of the Yap dictation app on this computer, read-only. If nothing matches, widen days or try other words before saying it is not there.

Good defaults

  • Several files: transcribe them one by one and keep each result under the file's name.
  • Long recordings: summarize per timestamped section first, then overall.
  • Keep the user's language: answer in the language of the recording unless they ask otherwise.

Frequently Asked Questions

What is Transcribe Recordings?

Transcribe Recordings is a free automation & integrations skill for AI coding agents. Turn local voice memos, meeting, interview, lecture or podcast recordings into transcripts, notes, summaries or action items, privately on the user's computer, using the Yap MCP tools (transcribe_audi. It provides a specialized system prompt that configures your agent with automation & integrations expertise.

How do I use Transcribe Recordings with Claude Code?

Copy the system prompt below and paste it into your CLAUDE.md file or Claude Code's custom instructions to activate Transcribe Recordings.

Which AI coding agents work with Transcribe Recordings?

Transcribe Recordings is compatible with Claude Code, Cursor, GitHub Copilot, Windsurf, OpenClaw, Cline, and any AI agent that supports custom system prompts or .cursorrules files.

Is Transcribe Recordings free to use?

Yes, Transcribe Recordings is completely free and open source. The full source is available on GitHub at https://github.com/founden-bot/yap-mcp/blob/main/skills/transcribe-recordings/SKILL.md. You only need a subscription to the AI agent you use it with.

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