Overview
AI Content Repurposing Agent is an AI agent for content repurposing that turns long-form video into ranked, ready-to-post short clips, backed by real transcription and video APIs. It is part of Agency Agents OS, an open ecosystem of specialized AI agents for real business work. The repository is the umbrella for turning one long-form video into multiple platform-ready short clips, then improving and tracking those clips over time, without hand-scrubbing footage for every candidate moment.
The repo lists sub-agents for Cross-Format Repurposing, Short-Video Editing, and Content Performance Tracking. Cross-Format Repurposing turns one long-form video into multiple short vertical clips ranked by virality potential. Short-Video Editing applies captions, hooks, and pacing edits to raw clips for platform-native short video. Content Performance Tracking tracks which repurposed clips perform best across platforms to inform future clipping decisions. Required Muapi APIs include media.transcribe for transcription with timestamps, media.extract_highlights to rank transcript segments by virality signal, media.crop_video for vertical auto-crop, and social.analytics for per-post performance data.
Every action in the repo is draft-only: clips, edits, and rankings are produced as files/candidates for a human to review, not auto-published to any platform. Publishing is out of scope; approved output is handed to the relevant social agent with explicit approval. Cross-format-repurposing is Blueprint status: the underlying capability works, but the end-to-end flow has not yet been verified inside this specific repo. Content performance tracking is also Blueprint, and short-video editing is Coming Soon.
Pricing
Free
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Use Cases
- Teams use AI Content Repurposing Agent to turn one long-form video into multiple short vertical clips ranked by virality potential.
- Teams use it to transcribe long-form video/audio with timestamps.
- Teams use it to rank transcript segments by virality signal.
- Teams use it to auto-crop a source video vertically to a clip's in/out points.
- Teams use it to apply captions, hooks, and pacing edits to raw clips for platform-native short video.
- Teams use it to track which repurposed clips perform best across platforms to inform future clipping decisions.
- Teams use it to get per-post performance data for repurposed clips across supported platforms.
- Teams use it to produce draft clips, edits, and rankings for human review before publishing.
Features
AI assistant
Natural language interface
Workflow automation
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