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Transcribe And Analyze

Checked
nicepkg·vlatest·video-media·MIT

Automatically transcribes audio/video and analyzes content for keywords, sentiment, and key topics using advanced NLP.

Install on your platform

Showing Claude Code. One command installs this skill into any of the agents below.

  1. 1

    Run this in your project

    terminal
    $ npx skills add nicepkg/ai-workflow --skill transcribe-and-analyze --full-depth -a claude-code
  2. Uses the open-source skills CLI and needs Node.js. Add -g to install it for your user instead of this project.

What we know about this skill

Publisher

nicepkg

Taken from the source listing. We haven't verified who controls this account.

Install target

Live repository

Not pinned. Installing fetches whatever the repository holds at the time you run the command.

No human has reviewed this code. The checks below are a static scan of the files at one commit — nobody has run this skill or judged whether it works. A skill runs with whatever access you give your agent, so read the source before you install it.

Automated safety checks

scanned

This skill passed all 6 checks. We read its files at one commit and looked for the things that make a skill dangerous to run — not for whether it works.

  • Declares what it does: passed

    SKILL.md parses and declares a name and a description.

    SKILL.md exists, its frontmatter parses, and it declares a name and a description.

  • No undeclared network calls: passed

    Only contacts known or declared hosts: github.com.

    Every host the skill dials — from its scripts, its config endpoints or the commands it tells the agent to run — is either well-known package and API infrastructure or declared in its own frontmatter. Links in documentation are not counted.

    Hosts contacted

    github.comsource host
  • No obfuscated payloads: passed

    No encoded or obfuscated payloads.

    No base64, hex or compressed blob is decoded and then executed, and no encoded shell commands.

  • No credential access: passed

    Reads no keys, tokens, keychains or credential files.

    Neither the code nor the SKILL.md instructions read SSH keys, cloud credentials, keychains, token stores, browser cookie databases or dotfiles that hold secrets.

  • No pipe-to-shell installers: passed

    No pipe-to-shell or download-and-run installers.

    No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.

  • Pinned to a commit: passed

    Scanned nicepkg/ai-workflow at d167b41af7.

    The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.

Scanned
12 files, 1,890 lines
Copies in repo
2 — all of them scanned
This is a static scan, not a review. It reads the skill's files; it does not run them, and it cannot tell you whether the skill is any good or whether the code does what its description says. A skill runs with whatever access you give your agent.
What each check looks for →

About this skill

What it does

This skill transcribes audio files and then analyzes the transcribed text for key themes or sentiment. It can handle various audio formats, providing both a textual transcript and an analysis summary. The output includes identified topics and overall emotional tone of the spoken content.

When to use it

  • Analyzing customer service call recordings to identify common complaints or areas for improvement.
  • Transcribing and summarizing meeting minutes to create concise records of discussions.
  • Extracting key insights from podcast episodes or interviews.
  • Gaining a quick understanding of the sentiment expressed in audio feedback surveys.

Key capabilities

  • Audio transcription
  • Text analysis
  • Sentiment detection
  • Topic identification
  • Support for various audio formats

Example prompts

  • "Transcribe this audio file and summarize the main topics discussed."
  • "Analyze this recording of a sales pitch and tell me what the overall sentiment was."
  • “Can you transcribe this interview and identify any recurring themes?”

Tips & gotchas

The quality of transcription depends heavily on the clarity of the original audio. Background noise or poor microphone quality can negatively impact accuracy.