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Cartoon & Anime Stories

Pravachan Studio

Turn a Hindi discourse recording into illustrated story scenes, with a respectful speaker illustration and corrected Devanagari captions.

  • Included with SkillGild Pro
  • Runs locally in your agent
  • v1.0.1
  • SkillGild
skillgild install pravachan-studio
Works with
  • Claude Code
  • Codex
  • Cursor
  • Gemini CLI
  • Antigravity
and any MCP client

License: SEE LICENSE IN LICENSE · Created by SkillGild

Pro

What you get

  • Turn a Hindi discourse recording into illustrated story scenes, with a respectful speaker illustration and corrected Devanagari captions.
  • A reviewable Hindi transcript and shot plan
  • Illustrated story scenes and speaker badge
  • Chapter labels and word-highlight captions

Is it a good fit?

Good for

  • Creators making cartoon & anime stories with a coding agent.
  • A project starting from a 60–90 second pravachan MP3.

Not for

  • A hosted rendering service or a guaranteed one-click edit; the workflow runs in your coding agent.
  • Media you do not have rights to use, or recreating a public figure or another show's branding.

Requirements

  • A coding agent that can read local files and run commands, with access to your own or licensed input media.
  • Node.js 22+ and npm for HyperFrames 0.8.193; ffmpeg/ffprobe for local media processing and MP4 export.
  • Python 3 plus Whisper CLI and a downloaded speech model when deriving timings from audio. Supply a corrected transcript for captions.
  • numpy and librosa for the bundled amplitude-based mouth helper when a character speaks. Separate voices or speaker labels are needed for multi-speaker scenes.
  • A Hindi voiceover and a human-reviewed Devanagari transcript. Vocal separation requires a separately installed tool when background music interferes.

Install the Pravachan Studio skill

Choose your agent and run one command. SkillGild signs you in when needed and connects the skill for you.

Install the SkillGild CLI first. If you already have it, run skillgild update once.

  1. Install this skill for Claude Code.

    Terminal
    skillgild install pravachan-studio --agent claude-code

    On first use, approve the sign-in request in your browser. SkillGild connects Claude Code automatically. Restart or reload your agent, then ask it to use this skill.

Developer detailsAPI examples, server tools and input schemas

How it runs

  1. Your agent starts a session. SkillGild checks your access and allowance, counts one run, and sends the skill's instructions for this task.
  2. Your agent does the work with its own model and tools, in your project. SkillGild makes no AI model call.

Use it from code

Start a session, follow its guide, then end it. Create an API key under Account and pass it as a bearer token.

Terminal
# Prints the session ID, its tools and the instructions for your agent
skillgild session pravachan-studio
skillgild end <session-id>

Questions

What does Pravachan Studio do?

Turn a Hindi discourse recording into illustrated story scenes, with a respectful speaker illustration and corrected Devanagari captions.

What input does Pravachan Studio need?

a 60–90 second pravachan MP3. Supply the media locally and confirm its rights before starting.

Do I need to install another video skill?

No. Run skillgild install pravachan-studio --agent claude-code, or choose codex, cursor or gemini-cli. Each listing includes its own shared engine resources; no sibling skill is required. Your agent then follows this skill's session guide.

Where does the work run?

In your coding agent on your computer, using local rendering and transcription tools. The package includes a template and timing helpers. Extra models and specialist tools in Requirements are supplied separately.

Is Pravachan Studio Free or Pro?

Included with SkillGild Pro, using your plan's session allowance. Local model, rendering and any external service costs are separate.

What needs checking before using Pravachan Studio?

Node.js 22+ and npm for HyperFrames 0.8.193; ffmpeg/ffprobe for local media processing and MP4 export. Python 3 plus Whisper CLI and a downloaded speech model when deriving timings from audio. Supply a corrected transcript for captions. numpy and librosa for the bundled amplitude-based mouth helper when a character speaks. Separate voices or speaker labels are needed for multi-speaker scenes. A Hindi voiceover and a human-reviewed Devanagari transcript. Vocal separation requires a separately installed tool when background music interferes.

Related guides

Setup steps and worked examples for this kind of skill.

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