kinocut
SolidUse Kinocut for guarded video editing, source-backed planning, FFmpeg operations, media analysis, subtitles, audio workflows, Hyperframes rendering, repurposing packages, and release checkpoints through an MCP server, Python client, or CLI. Trigger when an agent needs to inspect, plan, edit, render, validate, or package local media safely.
Install
Quality Score: 86/100
Skill Content
Details
- Author
- KyaniteLabs
- Repository
- KyaniteLabs/kinocut
- Created
- 5 months ago
- Last Updated
- 2 days ago
- Language
- Python
- License
- Apache-2.0
Integrates with
Similar Skills
Semantically similar based on skill content — not just same category
kinocut-repurpose
Use the current Kinocut tools to turn one local video path into a short platform-ready clip package with manifests, review artifacts, and human approval gates.
video-editing
Edit and assemble video clips with deterministic local tools, including trimming, normalization, hard cuts, captions, branded overlays, narration, music ducking, and versioned exports. Use when combining clips or uploaded media, adding captions or audio, resizing for a platform, or revising an existing edit -- including stitching multiple independently AI-generated clips (fal-ai, google-ai) into one long-form piece when each clip's duration doesn't match the storyboard beat.
video-editing
AI-assisted video editing workflows for cutting, structuring, and augmenting real footage. Covers the full pipeline from raw capture through FFmpeg, Remotion, ElevenLabs, fal.ai, and final polish in Descript or CapCut. Use when the user wants to edit video, cut footage, create vlogs, or build video content.