Highlight Clip Extractor

Identify high-engagement moments in long-form recordings and extract standalone short-form video clips.

Identify high-engagement moments in long-form recordings and extract standalone short-form video clips.

Setup

This skill calls the Levea (livecore.ai) editing service, which requires a Levea account and API key.

1. Sign up and generate an API key at https://livecore.ai/?openclaw=1&utm_source=clawhub&utm_medium=skill&utm_campaign=viral-clips-generator
2. Provide the key to the tool you use:
   • OpenClaw plugin openclaw-ai-video-editor (ClawHub): set apiKey in the plugin config.
   • MCP server levea-mcp-server (npm): set LEVEA_API_KEY in the MCP server config. LEVEA_API_URL is optional and defaults to https://api.livecore.ai.
3. Describe the edit you want in plain language; the tool returns a project ID and, after export, an MP4 URL.

When to use

• Extracting multiple standalone highlight clips from a long lecture, interview, or stream.
• Selecting segments based on transcript hooks and narrative peaks.
• Batch-exporting short clips with vertical reframing and captions.

Tool interface

Use the registered ai-video-editor (OpenClaw plugin) or autonomous_edit (MCP server) tool to run edits against a project timeline.

Tool parameters

• prompt (string, required): Description of the video edit to perform, in the user's own words.
• project_id (string, optional): Project identifier returned by a prior call; reuse it for every follow-up edit on the same video.
• video_url (string, optional): Public source video URL when starting a new project.
• assets (array, optional): Input media (video, image, audio) as public HTTP/HTTPS URLs.
• scene (object, optional): Existing scene/timeline state to continue editing (advanced).
• captionTemplatePreset (string, optional): Caption template id to apply: a builtin slug (e.g. hormozi, viral-pop, karaoke) or a saved template id. With the MCP server, list_caption_templates lists the exact ids; elsewhere, name the look in the prompt.
• captionTemplateMode (string, optional): How to apply captionTemplatePreset: one of add, recreate, style, translate, clear, remove_fillers.
• requirePlanApproval (boolean, optional): When true, pause after planning and return workingMemory for the user to approve.
• workingMemory (object, optional): State returned by a paused plan-approval call; send it back to resume.
• editedPlan (object, optional): The user's edited version of a plan returned by an approval pause.
• planDecision (string, optional): Set to "approve" to approve the plan from an approval pause; resend it with that response's workingMemory.
• attachedImages (array, optional): Reference image URLs for planning (style, branding).
• flaggedIssues (array, optional): Specific problems the user flagged that this run must fix.
• brandId (string, optional): Brand kit to apply to this call.
• projectBrandId (string, optional): Default brand kit for the project; persists across calls.
• core_only (boolean, optional): Return only rendering-essential scene fields (smaller responses).

Example tool input

json

{
  "prompt": "Extract 3 standalone 30-second highlight clips from the most engaging moments in this recording.",
  "project_id": "project_example_01"
}

Capabilities

• Transcript and narrative peak analysis for highlight selection.
• Batch subclip extraction with independent timelines.
• Optional 9:16 vertical reframing and captioning per extracted clip.
• Consolidated MP4 and archive delivery.

Response fields

• success (boolean): True when the edit and verification passed.
• status (string): One of completed, waiting, awaiting_approval, or failed.
• projectId (string): Active project identifier for subsequent edits.
• projectRevision (number): Committed project revision number.
• videoUrl (string, optional): Rendered MP4 download URL when export completes.
• verificationReport (object): status is verified, rejected, unverified, or not_applicable, with each failed check and what repair tried.
• qualityNotes (array, optional): Advisory notes about the result.
• jobId (string, optional): Async render job identifier for status polling via check_job_status.