ffmpeg-media-finishing
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.
Profile →npx skills add calesthio/generative-media-skills --skill ffmpeg-media-finishing --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
What it does
This skill guides finishing media with FFmpeg/ffprobe. It starts by probing inputs to avoid guessing media state, then deterministically runs FFmpeg commands to finalize images, sequences, video, audio, captions, overlays, GIFs, and variants. It requires an audit trail including input and output ffprobe summaries, exact commands run (with FFmpeg version/build), chosen delivery spec, and any known risks. It also documents checksums and frame hashes when useful, and flags risks like re-encoded captions or color metadata ambiguity.
How it works
- Probes inputs using ffprobe to gather format, streams, and metadata information and produces a JSON audit. It relies on a helper script (scripts/media_probe.py) for repeatable audits.
- Determines whether to use stream copy, transcode, or filters based on the delivery needs and media state, then runs deterministic FFmpeg commands, without guessing media state mid-process.
- Outputs include: input audit summary from ffprobe, chosen delivery spec and unresolved assumptions, exact commands run (with FFmpeg version/build), output audit summary, and any available checksums or frame hashes, plus known risks.
- Uses a bundled Python 3.11+ standard-library helper for audit steps and gatekeeping before or after finishing.
When to use it
Use at the finishing stage after creative generation or editing, before user delivery, to convert fragile outputs into reproducible, spec-aware files with an audit trail. Activate when finalizing images, image sequences, video, audio, captions, overlays, social/export variants, checksums, manifests, delivery specs, and QA tasks with ffmpeg/ffprobe.
What it can touch
The skill relies on local ffmpeg and ffprobe. It references the helper at skills/production/runtime-assembly/ffmpeg-media-finishing/scripts/media_probe.py to perform audits. It assumes commands will be run via terminal, not through a shell for the probe utility, and records the exact commands including FFmpeg version/build. It can perform probes and produce outputs that include input and output audits, checksums, and frame hashes when useful.
Caveats
It notes known risks such as re-encoded captions, color metadata ambiguity, clipping, lossy transcodes, or platform-specific uncertainty. It requires re-checks at production time for encoder availability and platform specs, and it may not guarantee perceptual quality or rights status. It emphasizes not guessing media state and to document any unresolved assumptions in the final audit.
# 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,
What does the ffmpeg-media-finishing skill do?
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.
How do I install it?
Run `npx skills add calesthio/generative-media-skills --skill ffmpeg-media-finishing --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From calesthio/generative-media-skills, a repository with 112 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.