By media people, for media people

Building media-aware tools for the agent era

mediaskills is open source because the media community deserves agent tooling that speaks our language — timecode, loudness, captions, deliverables, and the messy reality of real files.

Made by media professionals

We're editors, engineers, and operators who've lived inside NLEs, ffmpeg logs, caption pipelines, and delivery specs. mediaskills isn't a generic "AI wrapper" — it's practical infrastructure: deterministic scripts, stable operation IDs, and cookbooks that mirror how media work actually gets done.

Every skill is designed so an agent can probe before it cuts, chain outputs between steps, and know when not to use a tool. That's the bar we hold ourselves to.

We're all building with AI agents now

Assistants are becoming part of the edit bay, the QC pass, and the delivery checklist. But most agent tooling still treats video like any other file — no drop-frame math, no caption compliance heuristics, no instinct for when to copy streams vs re-encode.

mediaskills is a first step. It packages media literacy into portableAgent Skills that any compatible agent can install: inspect a master, trim on timecode, normalize a podcast, validate captions, export SCC. The catalog will grow with the community — this is the foundation, not the ceiling.

Today

13 skills, 80+ operations, cookbooks for common delivery and QC paths.

Tomorrow

More broadcast formats, deeper vision workflows, and skills you help define.

Open source for the media community

mediaskills is MIT-licensed and maintained in the open attimelapsetech/mediaskills. We built it to support editors, engineers, post houses, indies, and anyone automating media with agents — not to lock capabilities behind a walled garden.

If mediaskills saves you time on a deliverable, teaches an agent something useful, or sparks an idea for a skill we should add — we want to hear from you.

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Try trim, captions, timecode, or broadcast