281 skills · sorted by relevance
Update Remotion’s FFmpeg dependency to a published rust-ffmpeg commit, refresh the dependency lockfile, and rebuild compositor binaries for all supported platforms. Validate the changes and open a draft pull request with source revisions and build results.
Check which H.264 video encoders are available before writing FFmpeg scripts. Choose an available encoder or copy an existing video stream when appropriate, then test a short clip to catch compatibility problems before processing the full file.
Check which H.264 encoders, the components that compress video, are available in FFmpeg before building a conversion script. Choose an encoding approach and test a small sample before processing long videos or batches.
Handle failed video encoding by checking available encoders, testing a short clip, and trying alternatives. The workflow covers copying without re-encoding, switching codecs, which define video compression, and using MoviePy as another processing option.
Edit local video files with ffmpeg, a command-line media tool. Trim and join clips, resize for social platforms, adjust playback speed, extract or replace audio, add image overlays, and export compressed or converted files.
Process video and audio with FFmpeg for editing and publishing. Convert formats, resize and compress files, extract audio, trim clips, and change playback speed. Includes recipes for preparing Remotion assets and exporting videos for social platforms and websites.
Prepare video clips with yt-dlp, whisper, and ffmpeg, covering downloads, speech transcription, subtitle files, trimming, and vertical formatting. Also includes methods for adding generated speech and sending finished videos through messaging APIs.
Download and verify the seven platform FFmpeg archives produced for one rust-ffmpeg-splitter commit by GitHub Actions and CircleCI. Use when handing completed splitter CI binaries to rust-ffmpeg-sys without mixing commits or incomplete CI runs.
The English summary is being prepared. Showing the original description.
Edit existing footage into vlogs, tutorials, demos, or short social clips. This skill guides segment selection, cutting, overlays, audio additions, and platform-specific framing, with final pacing and polish handled in a traditional video editor.
Inspect video content locally by extracting frames with ffmpeg and transcribing speech with Whisper. The skill produces timestamped image paths, transcript segments, and video details in JSON, giving an agent material for visual review without requiring API keys.
Clean spoken recordings by transcribing words, identifying filler and false starts, and joining cuts with short audio fades. Preview proposed edits, reduce breaths, repair noise-gate clicks, and optionally use Cleanvoice for additional cloud processing.
Edit video and audio with local FFmpeg from natural-language requests: cut, trim, join, resize/reframe (9:16, 1:1), speed change, captions and subtitles (SRT/ASS, animated, karaoke), logos and text overlays, lower-thirds and titles, silence removal, multicam and external-mic sync, loudness normalisation, HDR/Dolby Vision to SDR, LUTs, background music with ducking, platform exports (YouTube, Reels, TikTok, X), compliance checks, scene detection and highlight reels, contact sheets to inspect results, and whole-edit project files. Use this skill whenever the user mentions a video or audio file (mp4, mov, mkv, wav, m4a), footage, a clip, captions, subtitles, a reel or short, YouTube/Instagram/TikTok delivery, LUFS, sync, transcoding, ffmpeg, or asks to make something "60 seconds", "vertical", "louder", "captioned" — even when they do not say "edit". Python 3.9 standard library only, no cloud, no API keys.
The English summary is being prepared. Showing the original description.
Review a change to the ffmpeg-skill repository for the failures its own contract makes possible — a claim in a result document that is true at one layer and false at the layer a caller reads, a new flag that reaches the code but not the contract/docs/demo surfaces, a "bug" that docs/design-decisions.md already decided with a pinning test, a fix with no regression test, a new runtime dependency or a raw ffmpeg shell call that breaks the scope boundary, a SKILL.md line added without one trimmed, a review that re-derives findings from a summary instead of the tree at the reviewed commit. Use when asked to review a PR or diff in this repository, when authoring code here and needing a pre-commit check, or when triaging an external review or audit report about this codebase.
The English summary is being prepared. Showing the original description.
Fix Flutter macOS app crash at launch due to FFmpeg Kit library loading failure. Use when: (1) macOS app builds successfully but crashes immediately on launch, (2) Crash log shows "Library not loaded: libfontconfig.1.dylib" or similar homebrew library, (3) Error mentions "code signature not valid for use in process" with "different Team IDs", (4) Using ffmpeg_kit_flutter_new (Full GPL variant). The Full GPL variant has external dependencies on homebrew libraries that fail macOS code signing. Switch to ffmpeg_kit_flutter_new_min.
The English summary is being prepared. Showing the original description.
Review local character animations before sharing previews or final renders. Check structured design data, asset files, browser errors, sampled motion frames, and MP4 metadata, then classify the result as pass, revise, or fail.
Edit screen recordings from the command line with zoom effects, speed changes, cuts, cropping, and text annotations. Adjust backgrounds and framing, review rendered previews, and export the finished video as MP4 or GIF.
Turn a topic, documents, or briefing into a spoken podcast episode. Draft a script for approval, generate speech in short segments, and combine them into an MP3 with its duration and output location reported.
Stitch video segments with ffmpeg concat, xfade, overlay, audio mux, and export settings, and trim a source into named clips at exact windows (trim_clips.py). Ships montage.py, a free montage assembler (python3 + ffmpeg, no keys). It takes a JSON EDL of clips and stills, normalizes them and hard-cuts them in order, burns captions from an SRT, a cue list or word timings, and lays a VO over a music bed that ducks under it, mastered to -14 LUFS.
The English summary is being prepared. Showing the original description.
生成Python脚本，利用FFmpeg将图片序列按3x3布局合并，或将合并图拆分。要求使用subprocess模块执行命令，并支持用户交互式输入路径。
The English summary is being prepared. Showing the original description.
提供使用 C# 读取视频文件时长并将其格式化为指定位数（如7位数字符串）的代码方案。支持多种库（如FFmpeg、DirectShow.NET、WMPLib、FFmpeg.AutoGen）或命令行调用方式。
The English summary is being prepared. Showing the original description.
Video/audio/image processing with FFmpeg and ImageMagick. Tools: FFmpeg (video/audio), ImageMagick (images). Capabilities: format conversion, encoding (H.264/H.265/VP9/AV1), streaming (HLS/DASH), filters, effects, thumbnails, watermarks, batch processing, hardware acceleration (NVENC/QSV). Actions: convert, encode, resize, crop, compress, extract, merge, stream, transcode media. Keywords: FFmpeg, ImageMagick, video encoding, audio extraction, image resize, thumbnail, watermark, HLS, DASH, H.264, H.265, VP9, AV1, codec, bitrate, framerate, resolution, aspect ratio, filter, overlay, concat, trim, fade, batch processing. Use when: converting video/audio formats, encoding with specific codecs, generating thumbnails, creating streaming manifests, extracting audio from video, batch processing images, adding watermarks, optimizing file sizes.
The English summary is being prepared. Showing the original description.
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.
The English summary is being prepared. Showing the original description.
ffmpeg 自动拼接成片：一条命令把 storyboard.json（商品图/视频片段 + 口播稿）渲染成带配音、字幕花字、转场、BGM 自动闪避、响度标准化的 9:16 MP4，纯本地运行。Use when the user wants to assemble/edit/render a product video, 自动剪辑, 一键成片, 拼接视频, 图片转视频, Ken Burns, add BGM/subtitles/voice-over with ffmpeg, or batch-produce short videos without an editor.
The English summary is being prepared. Showing the original description.
FFmpeg media processing — video/audio conversion, trimming, encoding, filters, streaming. CLI and ffmpeg.wasm patterns.
The English summary is being prepared. Showing the original description.