Video 7.7/10
Review ·
ffmpeg-skill Review 2026 — 21 Structured Video-Editing Tools That Teach Claude Code, Cursor and Codex to Stop Guessing About FFmpeg
ffmpeg-skill is an open-source Agent Skill (created 2026-09-03, 320+ stars in four days, MIT license, v0.10.0) that gives Claude Code, Cursor, Codex and any agent that reads SKILL.md a real video editor: 21 structured Python tools that wrap local FFmpeg 5.0+ with a probe-first workflow, typed arguments instead of shell strings, lossless stream-copy cuts where possible, verification after execution, a machine-readable contract that is generated from the code rather than maintained beside it, and an MCP transport whose tool list is derived from that same contract so names and schemas cannot drift. Every job starts with probe.py measuring real duration, fps, resolution, colour and audio layout; cut/join/silence/fit handle editing, audio.py and loudness.py do voice clean-up and EBU R128 loudness, caption/overlay/graphics/color handle captions, lower-thirds, tone mapping and LUTs, export/check/report cover delivery presets (YouTube, Reels, podcast), and render/batch/multicam orchestrate whole projects. The project publishes real measurements: 92/92 verification steps on a 10-file real-device corpus (GoPro, DJI, iPhone Dolby Vision, HDR10, screen recordings), sync.py offset detection 40/40 within 10 ms, silence detection with zero missed gaps, scene detection at F1 0.97, and 72/72 graded agent runs. This review covers the 21 tools, the design principles that separate it from a list of FFmpeg one-liners, the FFmpeg 8 parser fix, the honest boundary where the agent's own vision must make the call, and how it compares with editing in Descript or CapCut.