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The Daily Catch Newscast Studio

by OpenClaw · GitHub ↗ · v0.1.0 · MIT-0
cross-platform ✓ Security Clean
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Install in OpenClaw
/install daily-catch-newscast-studio
Description
Turn source text, documents, announcements, or research notes into a concise news-style segment for The Daily Catch, hosted by Claudia Crabtree, and optional...
README (SKILL.md)

The Daily Catch Newscast Studio

Use this skill when the user wants source text turned into a short broadcast-style news segment for The Daily Catch, hosted by Claudia Crabtree.

Inputs

  • Source text, article text, notes, release notes, or document excerpts.
  • Optional target length, tone, audience, or angle.
  • Optional authorized voice reference path for audio rendering.

Output

Produce both:

  1. A polished newscast script with speaker labels.
  2. An audio file when an authorized voice reference and local voice-rendering command are available.

Editorial Style

  • Host: Claudia Crabtree.
  • Show: The Daily Catch.
  • Tone: crisp, warm, informed, and lightly conversational.
  • Keep the segment faithful to the source. Do not invent facts, quotes, numbers, affiliations, or claims.
  • Convert dense prose into clear broadcast language.
  • Prefer a short intro, 2-4 story beats, and a clean sign-off.
  • If the source is ambiguous or thin, say so in the script instead of filling gaps.

Workflow

  1. Read the source and identify the main news value.

  2. Draft a concise segment in this shape:

    Claudia Crabtree: Good evening, and welcome to The Daily Catch.
    Claudia Crabtree: [Lead sentence with the main news.]
    Claudia Crabtree: [Context and why it matters.]
    Claudia Crabtree: [Key details, constraints, or caveats.]
    Claudia Crabtree: [Closing line.]
    
  3. Save or pass the final script to scripts/render_newscast.py.

  4. If audio is requested, only use a voice reference the user has authorization to use.

Render Script

The bundled renderer can create the transcript, write a spoken-only script, and optionally call the official OmniVoice CLI:

python scripts/render_newscast.py \
  --input source.txt \
  --out-dir ./daily-catch-output

To render audio with OmniVoice, install OmniVoice so omnivoice-infer is on PATH, then pass an authorized voice reference:

python scripts/render_newscast.py \
  --input source.txt \
  --voice /path/to/authorized-voice.mp3 \
  --audio-out ./daily-catch-output/newscast.wav \
  --device mps

If omnivoice-infer is unavailable, still produce the transcript and explain that audio rendering requires installing OmniVoice locally.

Safety Boundary

Do not clone or imitate a real person's voice unless the user states they have permission to use that voice reference. If permission is unclear, produce the script only and ask for an authorized voice reference before rendering audio.

Usage Guidance
Install only if you are comfortable letting the skill read the source files you choose and write output files to the selected directory. Use audio rendering only with a voice reference you are authorized to use, and remember that the external OmniVoice CLI runs locally outside this skill's code.
Capability Assessment
Purpose & Capability
The stated purpose matches the artifacts: the instructions draft a broadcast-style script, and the bundled Python renderer reads source text, writes transcript/spoken text files, and optionally invokes a local audio renderer.
Instruction Scope
Runtime behavior is disclosed in the skill instructions, including the optional audio path and the requirement to use only an authorized voice reference; no hidden role changes or prompt-injection behavior were found.
Install Mechanism
There is no automatic installer or dependency installation. The skill tells users to install OmniVoice separately if they want audio rendering, and then calls the local `omnivoice-infer` executable if present.
Credentials
Local file reads and writes are expected for converting an input text file into output files. The optional voice reference may be sensitive, but it is user-supplied and purpose-aligned.
Persistence & Privilege
No background worker, persistence mechanism, credential access, broad indexing, privilege escalation, or destructive file operation was found.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install daily-catch-newscast-studio
  3. After installation, invoke the skill by name or use /daily-catch-newscast-studio
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v0.1.0
Initial release of The Daily Catch newscast generator with optional OmniVoice CLI audio rendering.
Metadata
Slug daily-catch-newscast-studio
Version 0.1.0
License MIT-0
All-time Installs 0
Active Installs 0
Total Versions 1
Frequently Asked Questions

What is The Daily Catch Newscast Studio?

Turn source text, documents, announcements, or research notes into a concise news-style segment for The Daily Catch, hosted by Claudia Crabtree, and optional... It is an AI Agent Skill for Claude Code / OpenClaw, with 37 downloads so far.

How do I install The Daily Catch Newscast Studio?

Run "/install daily-catch-newscast-studio" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is The Daily Catch Newscast Studio free?

Yes, The Daily Catch Newscast Studio is completely free, licensed under MIT-0. You can download, install and use it at no cost.

Which platforms does The Daily Catch Newscast Studio support?

The Daily Catch Newscast Studio is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created The Daily Catch Newscast Studio?

It is built and maintained by OpenClaw (@openclaw); the current version is v0.1.0.

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