From antigravity-awesome-skills
Polishes screen recordings via CLI: auto-idle speed-up, click-cluster zoom, keystroke overlays, smoothed cursor, and vertical 9:16 export. Requires Swift capture-side logger for full feature set.
How this skill is triggered — by the user, by Claude, or both
Slash command
/antigravity-awesome-skills:screenstudio-altThe summary Claude sees in its skill listing — used to decide when to auto-load this skill
Use when polishing a screen recording / demo video for sharing, when the user mentions Screen Studio, auto-zoom, idle speed-up, or vertical/social video from a screen capture, and for any social-facing demo (vertical output is the default for those).
Use when polishing a screen recording / demo video for sharing, when the user mentions Screen Studio, auto-zoom, idle speed-up, or vertical/social video from a screen capture, and for any social-facing demo (vertical output is the default for those).
Source: connerkward/screenstudio-alternative-skill (MIT).
The skill's code lives in this directory (polish.py, render.py, studio.py,
events-log.swift, test fixtures, etc.). Published publicly as
connerkward/screen-studio-alternative via the publish-skill skill.
Two components:
events-log (Swift) — capture-side input logger (cursor 60Hz, clicks, keys;
drops keys during macOS secure input). Runs ONLY while recording. Needs
Accessibility/Input Monitoring for the terminal. Auto-zoom/keys/cursor need
this data at capture time — it cannot be recovered from pixels later.polish.py (Python, ffmpeg + PIL) — the post-production pass:python3 src/polish.py in.mp4 --events in.events.jsonl \
--speedup # compress idle (input-gap ∩ frozen-pixels; animations stay 1x)
--zoom # eased auto-zoom on click clusters (zoompan)
--keys # accumulating keystroke chips (PIL overlays, no drawtext dep)
--smooth-cursor # synthetic eased cursor (best with sck-record --no-cursor)
--vertical # ALSO emit 1080x1920 following the action
--speedup works WITHOUT events (freezedetect only) — usable on the whole
existing dailies corpus.
render.py — high-quality non-destructive renderer (preferred): single-pass
spring-physics camera over the original high-res frames, LANCZOS into a smaller
target (crisp zoom, ~1.3× sharper than the ffmpeg upscale path), 60fps, H + 9:16 V.
Tunable --freq/--zeta (spring), --fps, --target-w. Takes explicit
--regions [{t0,t1,z,cx,cy}]. polish.py is the older ffmpeg-filter fallback.studio.py [recording.mp4] — local web UI, NLE-style fixed-ruler timeline (bar =
source duration, never rescales → upstream always planted): zoom regions are draggable
blocks (move / retime edges / click to add / double-click delete); idle spans are
speed blocks with rate-only editing — source range locked, rate set via inspector
slider on select or right-edge rate-stretch drag (FCP retime / Premiere Rate
Stretch); rate changes ripple downstream only. Tunable cosine-ease ramp, default zoom,
aspect, frame styling. Always-smooth synthetic cursor + click ripple + real recorded
click sound (CC0 #735771). Export uses render.py. Free port, local. (Keystroke overlay
exists in the engine but is off by default.)screencast.sh --demo (screencast skill) does the whole chain: starts the event
logger, records, then polishes + emits the 9:16 vertical automatically. Vertical
is the DEFAULT for social-facing demos.
scale=eval=frame → crop (link reinit wedges crop's
per-frame exprs). That's why zoom uses zoompan (no t var there — use on/FPS).drawtext; all text/cursor overlays are PIL-rendered
PNGs + overlay.make-fixture.py synthesizes a fake screen recording + ground-truth
events.jsonl — validate any change against it before trusting real footage.npx claudepluginhub sickn33/antigravity-awesome-skills --plugin antigravity-bundle-aas-mobile-app-builderRecords the main display plus system audio via ScreenCaptureKit from the CLI without virtual audio drivers or sudo. Fills the headless-recording-with-sound gap QuickTime and screencapture can't cover.
Turns raw talking-head/screen-share recordings into finished edited videos with transcript-synced overlays, then generates blog/social/YouTube content.
Turns screen recordings into polished app demo videos with AI voiceover, device frames, background music, and FFmpeg-based assembly.