this is pure f*cking treasure
Netflix engineers posted 20 GitHub repos that turn your Opus 5.5 into a f*cking motion empire:
built for Opus 5.5
1. claude-motion: taste, checks its own frames, sound written in code. the author built it for Opus 5.5
2. claude-motion-design: HTML, Playwright and ffmpeg, no Remotion. the demo was made on Opus 5.5
3. motion-graphics-skills: 13 skills for launch videos. the README tells you to run it on Opus 5.5
4. claude-remotion-skill: a Remotion editor from one prompt. captions, B-roll, sound
5. klik-anim-skill-creation: the laws of animation and camera, built on Opus
6. hyperframes-motion-reel-skill: a showreel cut to the beat at 120 BPM, on HyperFrames
7. product-launch-motion: a full launch film. voice-over, camera, color grade
8. animate: a short clip in one canvas file, storyboarded as it goes
9. motion-design-skills: timing, color, typography, logos, Remotion
10. hyperframes-student-kit: 14 skills and 406 motion graphics cards
the engines these skills render with
11. hyperframes: HTML to MP4. the one almost everyone installs
12. remotion: video written in React
13. remotion skills: the official Remotion skills for your agent
14. GSAP: the timelines HyperFrames runs on. skills: npx skills add greensock/gsap-skills
taste and everything around it
15. motion-design-skill: motion principles that work with any engine
16. awesome-motion-design-agent-skills: a map of GSAP, Remotion, Lottie and Rive skills
17. motion-graphics: B-roll built straight from your transcript
18. motion-dev-animations-skill: web animation on not video
19. motion: Motion itself, formerly Framer Motion
20. lottie-web: when you need Lottie, not MP4
the stack in one line: Opus 5.5 writes the code, a skill sets the timing and the camera, an engine renders the MP4.
check each repo before you install. save this.
Codex usage limits will be fully reset again in the next hour and we will credit one additional reset into your bank for your own usage over the next 24 hours.
We investigated reports that Codex usage was being consumed faster than expected. There wasn't one central issue, but a few smaller problems compounded for some users.
Here's what we found and changed:
- Actual usage: Auto-review had become more proactive, another change was triggering more subagent work, and background suggestions could run twice or retry too frequently after failures. We reverted the changes and fixed suggestion scheduling, duplicate generation, and retry behavior. This should reduce unnecessary background token consumption while preserving the work users explicitly request.
- Usage reporting: Auto-review was incorrectly appearing as GPT‑5.4 usage, and failed or rate-limited requests were still shown as turns. Auto-review now appears as its own category, and only successful requests count toward the turn graphs. Rate-limited requests were never charged, but they were being displayed incorrectly.
- Immediate relief: We reset usage limits while rolling out the fixes, then shipped hotfixes across the CLI, desktop app, and usage backend.
- What to expect: New usage data should be clearer and actual consumption should be lower. Historical charts may still show auto-review under GPT‑5.4 because older turn data was not relabeled. Features that intentionally perform more work; such as /goal, subagents, and higher reasoning levels will still naturally use more capacity.
All fixes are now deployed, and we've added more detailed monitoring so we can detect background-usage regressions sooner. We'll continue watching the results closely.
Thank you for building and doing all sorts of things with Codex.
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