GitHub repository access in containerized environments using REST API and credential detection. Use when git clone fails, or when accessing private repos/writing files via API.
日本語の概要は準備中です。原文の説明を表示しています。
Audio and video processing with ffmpeg. Use when: user asks to convert, trim, merge, compress, or transcode video or audio files; extract audio from video; create GIFs or animated WebP from video; add subtitles or watermarks to video; change video resolution, framerate, or codec; normalize audio loudness; extract frames from video; concatenate clips; create thumbnails from video; strip or add audio tracks; convert between audio formats (MP3, AAC, FLAC, Opus, WAV); adjust volume; apply video filters; stabilize shaky video; generate waveform or spectrum visualizations; probe media file metadata. Triggers on 'ffmpeg', 'video', 'audio', 'transcode', 'MP4', 'MKV', 'WebM', 'MP3', 'AAC', 'FLAC', 'Opus', 'WAV', 'GIF from video', 'extract audio', 'add subtitles', 'video to gif', 'compress video', 'trim video', 'merge videos', 'normalize audio', 'framerate', 'resolution', 'bitrate', 'codec', 'ffprobe', 'waveform', 'spectrogram'.
インストールする前に、エージェントに与えられる指示の中身を確認できます。
ffmpeg 6.1.1 is pre-installed with a full-featured build. Also available: ffprobe (media analysis) and ffplay (playback, limited use in container).
Before writing custom Python for media tasks, check whether ffmpeg handles it in a single command.
To interpret video content (summarize, describe, find scenes) rather than transform it, use the parsing-video skill — it samples frames into timestamped contact sheets that can be read as images.
ffprobe — always start here to understand what you're working with.
ffprobe -v quiet -print_format json -show_format -show_streams input.mp4
ffprobe -v quiet -show_entries format=duration,bit_rate -of csv=p=0 input.mp4
ffprobe -v quiet -select_streams v:0 -show_entries stream=width,height,r_frame_rate,codec_name -of csv=p=0 input.mp4
ffmpeg -i input.avi output.mp4 # container swap (re-encode)
ffmpeg -i input.avi -c copy output.mp4 # container swap (no re-encode, fast)
ffmpeg -i input.mp4 -c:v libx265 -crf 28 output.mp4 # H.265
ffmpeg -i input.mp4 -c:v libvpx-vp9 -crf 30 -b:v 0 out.webm # VP9 WebM
ffmpeg -i input.mp4 -c:v libsvtav1 -crf 35 output.mp4 # AV1 (SVT, fastest AV1 encoder)
ffmpeg -i input.mp4 -c:v libjxl output.jxl # JPEG XL (single frame)
Encoder selection guide:
| Goal | Encoder | Typical flags |
|---|---|---|
| Compatibility | libx264 | -crf 23 -preset medium |
| Better compression | libx265 | -crf 28 -preset medium |
| Web delivery | libvpx-vp9 | -crf 30 -b:v 0 |
| Best compression | libsvtav1 | -crf 35 -preset 6 |
| Lossless archival | libx264 | -crf 0 -preset veryslow |
Lower CRF = higher quality. x264 default 23, x265 default 28, SVT-AV1 default 35 are visually similar.
ffmpeg -i input.wav -c:a libmp3lame -q:a 2 output.mp3 # MP3 VBR ~190kbps
ffmpeg -i input.wav -c:a libopus -b:a 128k output.opus # Opus (best quality/size)
ffmpeg -i input.wav -c:a aac -b:a 192k output.m4a # AAC
ffmpeg -i input.wav -c:a flac output.flac # FLAC lossless
ffmpeg -i input.mp3 -ar 44100 -ac 2 output.wav # to WAV, set sample rate/channels
ffmpeg -i video.mp4 -vn -c:a copy audio.aac # extract without re-encoding
ffmpeg -i video.mp4 -vn -c:a libmp3lame -q:a 2 audio.mp3 # extract as MP3
ffmpeg -i video.mp4 -vn -c:a libopus -b:a 128k audio.opus
ffmpeg -i input.mp4 -ss 00:01:30 -to 00:03:00 -c copy clip.mp4 # fast, keyframe-aligned
ffmpeg -ss 00:01:30 -i input.mp4 -to 00:01:30 -c copy clip.mp4 # -ss before -i = faster seek
ffmpeg -i input.mp4 -ss 00:01:30 -to 00:03:00 -c:v libx264 -c:a aac clip.mp4 # frame-accurate (re-encode)
-ss before -i seeks by keyframe (fast, may be imprecise). After -i decodes from start (slow, precise). For frame-accurate cuts, re-encode.
Demuxer method (same codec, no re-encode):
# Create file list
printf "file '%s'\n" clip1.mp4 clip2.mp4 clip3.mp4 > list.txt
ffmpeg -f concat -safe 0 -i list.txt -c copy merged.mp4
Filter method (different formats, re-encodes):
ffmpeg -i clip1.mp4 -i clip2.mp4 -filter_complex "[0:v][0:a][1:v][1:a]concat=n=2:v=1:a=1[v][a]" -map "[v]" -map "[a]" merged.mp4
ffmpeg -i input.mp4 -vf "scale=1280:720" output.mp4 # exact size
ffmpeg -i input.mp4 -vf "scale=1280:-1" output.mp4 # width 1280, auto height
ffmpeg -i input.mp4 -vf "scale=-1:720:flags=lanczos" output.mp4 # height 720, Lanczos
ffmpeg -i input.mp4 -vf "scale=iw/2:ih/2" output.mp4 # half size
ffmpeg -i input.mp4 -vf "pad=1920:1080:(ow-iw)/2:(oh-ih)/2" output.mp4 # letterbox to 1080p
ffmpeg -i input.mp4 -r 30 output.mp4 # simple (drops/dupes frames)
ffmpeg -i input.mp4 -vf "fps=24" output.mp4 # filter-based
ffmpeg -i input.mp4 -vf "minterpolate=fps=60" output.mp4 # motion interpolation (slow)
Use the two-pass palette method for quality:
ffmpeg -i input.mp4 -vf "fps=10,scale=480:-1:flags=lanczos,palettegen" palette.png
ffmpeg -i input.mp4 -i palette.png -lavfi "fps=10,scale=480:-1:flags=lanczos[x];[x][1:v]paletteuse" output.gif
Single-pass (simpler, lower quality):
ffmpeg -i input.mp4 -vf "fps=10,scale=480:-1" output.gif
ffmpeg -i input.mp4 -vf "fps=15,scale=480:-1" -c:v libwebp -lossless 0 -q:v 75 -loop 0 output.webp
ffmpeg -i input.mp4 -vf "fps=1" frame_%04d.png # 1 frame/second
ffmpeg -i input.mp4 -vf "select='eq(pict_type,I)'" -vsync vfr keyframe_%04d.png # keyframes only
ffmpeg -i input.mp4 -vf "thumbnail=300" -frames:v 1 thumb.png # best thumbnail from first 300 frames
ffmpeg -ss 00:00:05 -i input.mp4 -frames:v 1 screenshot.png # single frame at timestamp
ffmpeg -i input.mp4 -vf "select='gt(scene,0.3)'" -vsync vfr cut_%04d.png # first frame of each detected cut
The scene score is a frame-pair difference: it catches hard cuts but misses gradual transitions (dissolves/fades) and within-shot content changes; pans can false-positive. For robust shot detection use PySceneDetect (scenedetect -i input.mp4 list-scenes).
ffmpeg -i input.mp4 -vf "subtitles=subs.srt" output.mp4 # burn in SRT
ffmpeg -i input.mp4 -vf "ass=subs.ass" output.mp4 # burn in ASS (styled)
ffmpeg -i input.mp4 -i subs.srt -c copy -c:s mov_text output.mp4 # soft subs in MP4
Subtitle rendering uses libass (full ASS/SSA styling support).
ffmpeg -i input.mp4 -vf "drawtext=text='Hello':fontsize=48:fontcolor=white:x=10:y=10" output.mp4
ffmpeg -i input.mp4 -i watermark.png -filter_complex "overlay=W-w-10:H-h-10" output.mp4
ffmpeg -i input.mp4 -vf "drawtext=text='%{pts\:hms}':fontsize=24:fontcolor=white:x=10:y=H-30" output.mp4 # timestamp
ffmpeg -i input.mp4 -af "volume=1.5" output.mp4 # volume boost
ffmpeg -i input.mp4 -af "loudnorm=I=-16:TP=-1.5:LRA=11" output.mp4 # EBU R128 normalization
ffmpeg -i input.mp4 -af "afade=t=in:d=2,afade=t=out:st=58:d=2" output.mp4 # fade in/out
ffmpeg -i input.mp4 -af "highpass=f=200,lowpass=f=3000" output.mp4 # bandpass
ffmpeg -i input.mp4 -an output_silent.mp4 # strip audio
ffmpeg -i video.mp4 -i audio.mp3 -c:v copy -map 0:v -map 1:a output.mp4 # replace audio track
ffmpeg -i shaky.mp4 -vf "vidstabdetect=shakiness=5:accuracy=15" -f null -
ffmpeg -i shaky.mp4 -vf "vidstabtransform=smoothing=10:input=transforms.trf" stabilized.mp4
ffmpeg -i clip1.mp4 -i clip2.mp4 -filter_complex "xfade=transition=fade:duration=1:offset=4" output.mp4
Transition types: fade, wipeleft, wiperight, slideup, slidedown, circlecrop, dissolve, and ~40 more.
ffmpeg -i audio.mp3 -filter_complex "showwavespic=s=1280x240:colors=0x1e90ff" -frames:v 1 waveform.png
ffmpeg -i audio.mp3 -filter_complex "showspectrumpic=s=1280x720" -frames:v 1 spectrum.png
ffmpeg -i input.mp4 -c:v libx264 -crf 28 -preset faster -c:a aac -b:a 128k smaller.mp4
ffmpeg -i input.mp4 -c:v libx265 -crf 32 -preset medium -c:a libopus -b:a 96k smallest.mp4
CRF is the primary quality knob. Preset trades encoding speed for compression efficiency.
Video encoders: libx264, libx265, libvpx (VP8), libvpx-vp9, libsvtav1, librav1e, libaom-av1, libjxl (JPEG XL), gif, png, apng, libwebp Audio encoders: aac, libmp3lame, libopus, libvorbis, flac, ac3, pcm_s16le Subtitle: ASS/SSA (libass), SRT, DVB, DVD, MOV text 426 formats, 562 filters, hardware accel stubs (vaapi, vulkan, opencl — limited use in container)
/home/claude/, deliver to /mnt/user-data/outputs/.-preset faster or -preset veryfast for large files to avoid timeouts.まだレビューはありません。使ってみた感想をお寄せください。
概要と使いどころ
GitHub repository access in containerized environments using REST API and credential detection. Use when git clone fails, or when accessing private repos/writing files via API.
日本語の概要は準備中です。原文の説明を表示しています。
Decide which model, effort level, and cascade shape each subagent gets, and how to keep improvement loops safe (evaluator-as-selector, stop on regression). Routes on measured cost-per-completed-task rather than per-token price, because a tier's token count varies more by task shape than price varies across tiers. Covers per-model effort semantics, the concision lever, cascade preconditions, context handoff, and watching a subagent fan-out live. Use when spawning subagents via the Agent or Workflow tools, when choosing how to escalate a failed attempt, when fanning out more than a handful of agents, or when asked which model or effort a task should get. Grounded in a 2026-07 calibration, a 2026-08 coding-cost study, a 2026-09 seeded-bug repair battery, a 2026-10 Haiku 5.5 ladder priced per spawn, and a 2026-10 retry-versus-escalation ladder on 295 SWE-bench Verified tasks; Managed Agents API specifics are operational, not calibrated.
日本語の概要は準備中です。原文の説明を表示しています。
Securely manages API credentials for multiple providers (Anthropic Claude, Google Gemini, GitHub). Use when skills need to access stored API keys for external service invocations.
日本語の概要は準備中です。原文の説明を表示しています。
Guidance for asking clarifying questions when user requests are ambiguous, have multiple valid approaches, or require critical decisions. Use when implementation choices exist that could significantly affect outcomes.
日本語の概要は準備中です。原文の説明を表示しています。
Pre-change blast-radius report for a symbol or file. Walks tree-sitting references, augments with a plain-text scan over non-parsed files (configs, plain docs), and clusters affected sites by feature (`_FEATURES.md`) or top-level package. Use when about to refactor, rename, or delete something in a repo you don't own — "what breaks if I change `validateUser`", "who calls this", "is this safe to remove", "where is this used", "blast radius", "impact analysis". This is the CONVERGENT pre-change risk skill — for "what is this repo?" use exploring-codebases; for "where is X?" use searching-codebases.
日本語の概要は準備中です。原文の説明を表示しています。
Read Bluesky/ATProto without depending on Bluesky's AppView — interactions on a user's posts, thread replies, any repo's records, network-wide backlinks across every lexicon, an account's handle and PDS history, which collections are active network-wide, and layer-by-layer outage diagnosis. Use when bsky.app or the AppView is down or slow, when a Bluesky read returns timeouts or 5xx, when asked who liked/replied/quoted/reposted something, when pulling live Bluesky context cheaply, when reading records straight from a PDS, when asked who references a record or account anywhere on the network, whether an account has changed handle or migrated servers, or which lexicons and non-Bluesky apps are active on atproto. Complements browsing-bluesky, which routes everything through the AppView and fails when it does.
日本語の概要は準備中です。原文の説明を表示しています。