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ffmpeg-media-finishing

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Provider-independent FFmpeg finishing workflow for AI agents preparing generated or edited media deliverables. Use when finalizing images, image sequences, video, audio, captions, overlays, social/export variants, checksums, manifests, delivery specs, and QA with ffmpeg/ffprobe, including transcode versus stream-copy decisions, scaling, frame-rate handling, color metadata caution, loudness normalization, subtitle burn-in or sidecars, concat/trim, GIFs, batch variants, and reproducible command reporting.

skills/production/runtime-assembly/ffmpeg-media-finishing/SKILL.md

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# FFmpeg media finishing

Use this skill at the finishing stage: after creative generation or editing has produced source media and before the user receives deliverables. Your job is to turn fragile, inconsistent media outputs into reproducible, spec-aware files with an audit trail.

This skill is provider-independent. It assumes local `ffmpeg` and `ffprobe` are available, but not that every codec, filter, hardware encoder, or subtitle renderer is compiled into the installed build. FFmpeg build capabilities, encoder names, platform upload rules, and social specs are volatile; re-check them at production time with the commands below and with the current delivery spec.

## Operating rule

Do not guess the state of media. Probe first, decide, run deterministic commands, then probe outputs.

Every finishing handoff should include:

- input audit summary from `ffprobe`;
- chosen delivery spec and any unresolved assumptions;
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