This started from an idea I picked up while working on automation with the community, so I decided to actually build it and see how far I could take it. I ended up making two editions depending on how advanced you want the setup to be. 🆓 Free Edition :- 🎙️ 400+ Microsoft Edge neural voices 🎬 FFmpeg 60fps camera motion 🔎 SEO scoring and playlist routing ⏰ 100-day automated scheduling 👉 https://github.com/mohit626689/youtube-automation-os 🔥 Pro Edition :- 🎙️ ElevenLabs for narration 🎥 Higgsfield for cinematic camera movement 🖼️ FLUX.1 Pro for visuals and thumbnails 🎵 Suno for background music 📝 Kinetic subtitles 🛡️ Smart fallback when an API key is missing 👉 https://github.com/mohit626689/youtube-automation-pro The part I enjoyed building most is the onboarding wizard. You give it a niche or competitor channel, and it uses that as the starting point for the setup. Both versions are completely free to explore. 👀 I would love to know what you would build with this. Which niche would you test first?

Client handed me 50 scripts and asked for 10 branded avatar videos with subtitles. Doing that by hand means: clean each script → generate the video → wait → add subtitles → remove silence → save the link. Times 50. That's a full week of copy-paste. So I built a one-click automation that handles all of it. I just click "next" and it does the rest. Swipe through how it's structured 👉 (not sharing the exact build, but happy to explain the logic in the comments ask away)

Most people spend two to three hours reformatting one piece of content for different platforms. They write a post on LinkedIn. Then they try to rewrite it for Twitter. Then they try to design slides for Instagram. It takes too much time. When client work gets heavy, posting stops completely. I built a custom skill for Google Antigravity called content-repurposer. Here is how I ran it today on a 25-minute YouTube video by Stephen G. Pope about AI agents, and what came out of it. 1. The Input I gave the agent one simple command with the YouTube link: bash " /content-repurposer https://youtu.be/VXx2jU7ObTY " That was all. I did not copy the transcript manually. I did not write a long custom prompt. 2. What Happened In 30 Seconds The agent ran in the background and: Extracted the full spoken audio transcript (4,748 words). Identified the core technical lesson: most developers build toy agents that read from local disk, but production systems require an Agent File System (AFS) with remote APIs, pre-warmed Git pools, and background conflict fixers. Generated three distinct hook angles to test. Translated the lesson into platform-native posts adhering to each algorithm's specific rules. 3. What I Got Out Of It From that single YouTube link, the skill generated: 3 Hook Angles to Test:- Contrarian: "Why 90% of AI agents fail in production." Data / Numbers: "How to run 25+ agents simultaneously with zero merge conflicts." Personal Story: "What broke when I first deployed multi-agent pipelines to the cloud." Twitter/X Thread (7 Tweets):- 100% link-free Tweet 1 (to avoid the algorithm link penalty). Single-line spacing and emoji bullets. Bookmark-optimized call to action. LinkedIn Thought Leadership Post:- Hook written strictly within the first 210 characters before the "...see more" fold. 4-point architecture breakdown. Zero-click link prompt (places the link in the first comment). Low-friction debate question to boost comments.

- Open the Claude desktop app → Cowork - Click + → Record a skill, grant screen recording permissions and click Start Recording - Perform a task you repeat often, from start to finish and narrate it to Claude Sample Prompt (Narration): While recording your skill, say something like this out loud: I'm doing [TASK] to achieve [GOAL]. First, I [ACTION] because [REASON]. Next, I [ACTION] so that [OUTCOME]. If [CONDITION] happens, I [ALTERNATIVE ACTION]. This is the most important rule: [RULE OR DECISION]. Ignore any clicks or tabs that aren't part of this workflow. When the task is complete, verify that [SUCCESS CRITERIA]. - Claude packages it into a saved skill - Open a new chat and run it using /your-skill-name - To automate it, ask Claude to schedule the skill Automation Prompt: Let's make this a scheduled task. Ask me when it should run, then create the schedule for me.

The biggest tax on creative work isn’t having ideas. It’s the friction between having an idea and publishing it. I wanted to share concepts more consistently on Instagram, but I refuse to spend hours setting up cameras, adjusting lighting, or cutting timelines in an editor. So I built a system to remove the friction entirely. Here is the exact architecture: 1. Input: I record a raw 2-minute voice memo on my phone while walking or thinking out loud. 2. Structuring: An AI agent digests the audio and scripts it specifically for visual retention. 3. Audio: Generates the voiceover using my own cloned voice. 4. Motion Engine: It programmatically builds the kinetic typography, UI cards, and vector animations to match the pacing. 5. Human-in-the-Loop: Once rendered, it pings my Telegram with the finished MP4. One tap to approve, and it dispatches straight to Instagram. My entire input is just thinking out loud into my phone. (Proof of concept: the video attached to this post was built and rendered entirely by this system).