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
github.com/whaleyxbt/clau…
2. claude-motion-design: HTML, Playwright and ffmpeg, no Remotion. the demo was made on Opus 5.5
github.com/howseen-ai/cla…
3. motion-graphics-skills: 13 skills for launch videos. the README tells you to run it on Opus 5.5
github.com/charlie947/mot…
4. claude-remotion-skill: a Remotion editor from one prompt. captions, B-roll, sound
github.com/haidrrrry/clau…
5. klik-anim-skill-creation: the laws of animation and camera, built on Opus
github.com/t3knobox/klik-…
6. hyperframes-motion-reel-skill: a showreel cut to the beat at 120 BPM, on HyperFrames
github.com/Sunwood-ai-lab…
7. product-launch-motion: a full launch film. voice-over, camera, color grade
github.com/AbubakrChan/pr…
8. animate: a short clip in one canvas file, storyboarded as it goes
github.com/cth9191/animate
9. motion-design-skills: timing, color, typography, logos, Remotion
github.com/iart-ai/motion…
10. hyperframes-student-kit: 14 skills and 406 motion graphics cards
github.com/nateherkai/hyp…
the engines these skills render with
11. hyperframes: HTML to MP4. the one almost everyone installs
github.com/heygen-com/hyp…
12. remotion: video written in React
github.com/remotion-dev/r…
13. remotion skills: the official Remotion skills for your agent
github.com/remotion-dev/s…
14. GSAP: the timelines HyperFrames runs on. skills: npx skills add greensock/gsap-skills
github.com/greensock/GSAP
taste and everything around it
15. motion-design-skill: motion principles that work with any engine
github.com/LottieFiles/mo…
16. awesome-motion-design-agent-skills: a map of GSAP, Remotion, Lottie and Rive skills
github.com/frankxai/aweso…
17. motion-graphics: B-roll built straight from your transcript
github.com/Barty-Bart/mot…
18. motion-dev-animations-skill: web animation on Motion.dev, not video
github.com/199-biotechnol…
19. motion: Motion itself, formerly Framer Motion
github.com/motiondivision…
20. lottie-web: when you need Lottie, not MP4
github.com/airbnb/lottie-…
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.
holy sh*t. Official Anthropic tip for Claude Code: stop burning Opus 5.5 context on tasks Haiku 5.5 can swarm, while Sonnet 5.5 builds
put the architect on call with /advisor
claude --advisor opus --subagents haiku
Sonnet 5.5 drives the primary session on high effort, writing diffs and running test suites
Haiku 5.5 subagents swarm the repo in parallel at 340 tok/s, handling file discovery and spec docs lookup
Opus 5.5 stays on call in the background as the advisor, only stepping in at three critical moments:
→ before a plan locks: does the implementation plan miss auth invariants or schema contracts?
→ when a test breaks twice: are we fixing the root cause or falling into a recursive rabbit hole?
→ before calling done: did the full diff introduce hidden regressions or break pre-flight rules?
Opus 5.5 reviews. Sonnet 5.5 builds. Haiku 5.5 swarms
Jev engineering runs the identical pattern one layer down: mechanical decisions that need no reasoning (which file to open, which tool to invoke, retry or abort) execute in 16ms, so the frontier models only wake up when execution paths actually diverge
Plan on high. Delegate on medium. Keep Opus on call.
- the full advisor setup
> Opus 5.5 on call reads full session history and catches deep architectural traps
> Sonnet 5.5 lead drives edits, writes core logic, and executes test harnesses
> Haiku 5.5 subagents swarm AST parsing, grep scans, and API docs in parallel
> JEV micro-fork layer resolves 1,500+ mechanical routing branches in under 16ms
> advisor stays completely silent on routine bash execution to protect context
paste the setup and this prompt into Claude Code below:
"Configure my Claude Code workspace for hierarchical advisor orchestration:
1. Audit ~/.claude/settings.json and project config for model roles fitting lead, subagents, and advisor:
> Pin main session model: sonnet with effortLevel: high for primary execution
> Pin subagents model: haiku with effortLevel: medium for parallel file discovery and docs retrieval
> Pin advisor model: opus on call for strategic review
2. Enable the advisor tool in ~/.claude/settings.json:
> Set advisorModel to claude-opus-5-5
> Enable subagent parallel dispatcher pool (3x workers)
3. Configure automatic advisor consultation checkpoints in ~/.claude/CLAUDE.md:
> Consult /advisor opus before finalizing multi-file architecture plans
> Automatically summon /advisor opus when the same test or compiler error fails twice
> Enforce advisor diff contract audit before declaring tasks complete or staging git commits
4. Constrain subagent scopes:
> Haiku subagents return structured AST summaries and docs snippets only without modifying main session context
Show every configuration diff first. Do not apply edits until confirmed"
↳
code.claude.com/docs/en/advisor
JUST HIT ONE MILLION DOLLARS OFF A FCKING MEMECOIN.
Like I said,
I wanna flip someone's life around and send 213,165 $SI (~$11,502) to one person by tomorrow.
Just like, retweet and comment " $SI "
Random winner picked in 18 hrs 😭
Jev made my first AI Bounty Hunter.
It scans 24/7 for legal money bounties:
➜ Bug bounties
➜ Giveaways
➜ Grants
➜ Open source rewards
➜ Design challenges
AI filters what it can actually do, completes the task, checks the result, and prepares the submission.
It basically found a $5,000 Google bug bounty challenge and tried to solve it.
How to set one up:
➜ 1. Build a small Python app with Playwright
Connect HackerOne, Bugcrowd, GitHub, Devpost, Grants.gov and other public bounty sources.
Save every new opportunity with its reward, deadline, rules and link.
➜ 2. Connect Claude or GPT
Give it the full bounty description.
Ask it to score difficulty, estimated cost, reward and whether it can realistically complete the task.
Only continue with the best opportunities.
➜ 3. Give it tools
Let it browse websites, read GitHub repos, write code, create files and run tests.
For bug bounties, only let it test targets explicitly allowed by the program.
➜ 4. Add a second AI as a reviewer
It checks the rules, tests the result and rejects anything incomplete.
Only verified work moves forward.
➜ 5. Add a final approval button
The bot sends you the bounty, reward and finished submission in Telegram.
You review it and press submit.
Run the scanner every hour on a cheap VPS.
Now the loop works automatically:
Scan → filter → complete → verify → submit → repeat.
I lost my job yesterday.
Rent was due.
No backup plan.
Then I remembered I still had Claude.
Asked it:
“Analyze every top Polymarket wallet from the last 90 days and build me something”
$25 → $4,237 in one night.
It scanned 10,000 wallets.
Cross-referenced win rates, sizing, timing.
Found 7 traders whose edge wasn’t luck.
Then built an autonomous agent.
Not a script.
Not an if-then bot.
An agent that reads live news,
maps it to markets,
detects mispricing,
and exploits arbitrage across outcomes.
Sizes every position using Kelly.
I deployed it at 11:47PM.
Closed the laptop.
Woke up to:
$25 → $4,237
94 trades while I slept.
No input.
No hesitation.
No second-guessing.
That’s the game.
Information asymmetry at machine speed.
Wall Street pays millions for this.
I pay $20/month.
You only need Claude + laptop + 1 hour/day.
Giving This Free for 24 hours. To get it:
1. Comment the word 'AutoPilot'
2. Like and Retweet this post
3. Follow me @NextGenAi5 (so i can DM you)
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