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Skills generate-podcast-clips

Use this skill when the user wants to turn a long podcast, interview, webinar, or talking-head video into multiple short clips for TikTok, Reels, or YouTube Shorts. It wraps Subscut's podcast clipping API in a narrow CLI interface with explicit env requirements and predictable JSON output.

install
source · Clone the upstream repo
git clone https://github.com/openclaw/skills
Claude Code · Install into ~/.claude/skills/
T=$(mktemp -d) && git clone --depth=1 https://github.com/openclaw/skills "$T" && mkdir -p ~/.claude/skills && cp -r "$T/skills/arpittiwari24/podcast-clipper-subscut" ~/.claude/skills/clawdbot-skills-generate-podcast-clips && rm -rf "$T"
manifest: skills/arpittiwari24/podcast-clipper-subscut/SKILL.md
source content

Generate Podcast Clips

Use this skill to convert a long-form spoken video into multiple short clips through the Subscut 

/podcast-to-clips
API.

What This Skill Does

The skill is an opinionated wrapper around the API outcome:

  • extracts up to 20 strong short clips from a long-form video
  • favors viral and high-retention spoken moments
  • adds captions with selectable styles
  • supports two render formats: 
    dynamic
    (auto-reframing) and 
    hook_frame
    (original frame + title card)
  • returns titles, scores, and rendered clip URLs

Think in outcomes, not transport:

  • Good framing: "Extract viral short-form content from this podcast"
  • Bad framing: "Call some video API"

When To Use

Use this skill when:

  • the input is a long podcast, interview, webinar, or talking-head video
  • the user wants growth, repurposing, shorts, reels, or TikTok content
  • the user wants minimal manual editing

Avoid this skill when:

  • the source is already short-form
  • the content is mostly non-speech
  • the user wants manual, frame-by-frame editing decisions

Do not use it as a generic video editing tool.

Input Contract

Use this compact input shape when planning or explaining the tool call:

{
  "video_url": "https://example.com/video.mp4",
  "max_clips": 5,
  "style": "viral",
  "format": "dynamic",
  "captions": true,
  "clip_duration": {
    "min": 20,
    "max": 60
  }
}

Field Reference

FieldTypeDefaultNotes
video_url
string—Required. Any HTTP/HTTPS URL. YouTube, direct MP4, Google Drive.
max_clips
integer
5
Range: 1–20. Short videos (≤3 min) are capped at 2 clips automatically.
style
string
"viral"
Caption style. See styles below.
format
string
"dynamic"
Render format. See formats below.
captions
boolean
true
Whether to burn in captions.
clip_duration.min
integer
20
Minimum clip length in seconds. Floor: 10s.
clip_duration.max
integer
60
Maximum clip length in seconds. Ceiling: 60s. Must be ≥ min.

Caption Styles (
style
)

ValueDescription
viral
Bold animated-word captions (MrBeast style). Default.
beast
Alias for 
viral
.
hormozi
Alias for 
leon
. Single highlighted word, clean font.
leon
Single highlighted word, clean font.
clean
Plain white subtitles, no animation.
minimal
Alias for 
clean
.

Render Formats (
format
)

ValueDescription
dynamic
Auto-detects split-screen vs. solo framing, reframes to 9:16. Default.
hook_frame
Preserves original video frame, adds a title card at the top, captions at the bottom.

Use 

hook_frame
when the video is already vertical or the user wants the title displayed prominently. Use 
dynamic
(default) for horizontal/landscape podcasts with one or two speakers.

Output Contract

Expect JSON in this shape:

{
  "clips": [
    {
      "video_url": "https://...",
      "title": "Why Most Founders Get This Wrong",
      "score": 0.92,
      "start": 142.5,
      "end": 198.3
    }
  ]
}


score
is a 0–1 float representing clip virality confidence. Higher is better.

CLI Entry Point

Once the skill is installed, the agent runtime should invoke the bundled CLI wrapper:

npm --prefix .agents/skills/generate-podcast-clips run generate-podcast-clips -- \
  --video-url "https://example.com/podcast.mp4" \
  --max-clips 5 \
  --clip-style viral \
  --format dynamic \
  --captions true \
  --min-clip-duration 20 \
  --max-clip-duration 60

Required environment variables:

  • SUBSCUT_API_KEY
    or 
    --api-key

Default base URL:

  • https://subscut.com

Install Model

This skill is meant to be published once by Subscut and then installed by users through the marketplace.

End-user flow:

  1. Install the published skill from ClawHub / OpenClaw.
  2. Set 
    SUBSCUT_API_KEY
    .
  3. Let the agent call the skill when it needs to turn a long-form spoken video into short clips.

The skill should not ask users to publish or package anything themselves.

Agent Workflow

  1. Confirm the source is a long-form spoken video.
  2. Prefer the CLI wrapper over hand-written 
    curl
    .
  3. Keep the request simple unless the user asks for custom clip counts, durations, style, or format.
  4. Default 
    format
    to 
    dynamic
    unless the user explicitly wants a title card (
    hook_frame
    ).
  5. Return the resulting clip URLs, titles, scores, and timestamps.
  6. If the API fails, surface the status and response body clearly.
  7. Keep a human in the loop before final publishing if the downstream workflow is public.

Natural-Language Triggers

Likely user intents that should map to this skill:

  • "Turn this podcast into reels"
  • "Make shorts from this interview"
  • "Repurpose my long video into clips"
  • "Find the viral moments in this podcast"
  • "Generate YouTube Shorts from this episode"
  • "Make clips with a title card at the top"
  • "Give me clean subtitle clips"
  • "Extract 10 clips from this webinar"

Notes

  • The API route is 
    POST /podcast-to-clips
    .
  • style
    maps to the API 
    style
    field. 
    clip-style
    is used as the CLI flag name.
  • format
    controls render layout: 
    dynamic
    (default) or 
    hook_frame
    .
  • clip_duration.min
    and 
    clip_duration.max
    let callers control clip length window.
  • Short videos (≤3 min) are automatically capped at 2 clips regardless of 
    max_clips
    .
  • The script is executed through the skill-local 
    npm
    script.
  • The skill is intentionally opinionated and keeps the parameter surface small for better agent usage.
  • This package is for installation and runtime usage, not for publisher-only deployment steps.