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Dialogue Audio

Checked
inference-sh·vlatest·video-media

Analyzes video dialogue audio to extract key insights and actionable information for media workflows.

Repository

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 inference-sh/skills --skill dialogue-audio -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

inference-sh

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

    Makes no network calls.

    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.

  • 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 inference-sh/skills at c2d5678f14.

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

Commit
c2d5678f14
Manifest
tools/audio/dialogue-audio/SKILL.md
Scanned
1 file, 204 lines
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

The inference-sh/dialogue-audio skill enables AI agents to process and generate audio-based dialogue, facilitating natural voice interactions within video and media workflows. It bridges text-based reasoning with spoken language capabilities for a more immersive user experience.

When to use it

  • Creating voice-driven characters for interactive video content or virtual assistants.
  • Translating written scripts into realistic spoken dialogue for media production.
  • Enabling hands-free command interfaces that rely on conversational audio input.
  • Developing accessibility features that convert text instructions into audible responses.

Key capabilities

  • Audio generation and synthesis for dialogue contexts.
  • Integration with video-media workflows for enhanced storytelling.
  • Support for natural, spoken language interactions rather than just text.

Example prompts

  • "Generate a 30-second monologue for a news anchor reporting on local weather updates."
  • "Create a conversational exchange between two characters discussing the plot of a mystery novel."
  • "Produce an audio announcement for a virtual tour guide describing historical landmarks in a museum."

Tips & gotchas

Ensure your media pipeline supports audio file formats compatible with the skill's output to avoid playback errors. For best results, provide clear context or script details when requesting specific dialogue styles or tones.