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125 contributions to AI Automation Society
I built a Claude Code skill that edits my YouTube shorts
I did not want to pay $300+ a month for a video editor just to add basic graphics to 60-second clips. So I built a Claude Code skill that handles it. The stack: 1. Record raw video on phone or webcam 2. Drop it into Tella to trim silences and mistakes (5 min manually) 3. Feed the cut to my "daily short" skill in Claude Code 4. Skill writes a storyboard. Asks me for screenshots, logos, B-roll assets I want included 5. Storyboard goes to HyperFrames (a Heygen library of Claude Code skills) which spins up a local video editor and renders the final cut HyperFrames is the part most people miss. It is not a hosted SaaS. It is a set of installable Claude Code skills. You run a single CLI command and it pulls every skill into your .claude/skills/ folder. From there your agent can drive the editor end-to-end. Adds graphics, B-rolls, sound effects, transitions. The mental model that clicked for me: Claude is not editing the video. Claude is running a real editor for you. Same UI you would touch in Premiere, except an agent moves the timeline. Two gotchas I hit: - Quality drops on render unless you explicitly tell the skill to preserve the source resolution - Captions still need a manual pass. I use the Instagram Edits app (free) for that step Watch the full walkthrough: https://youtu.be/dRcELE4vm3s
Work flow
i need knowing how to brush an Agentic Workflow: Lead → Evidence → Pain Point → Demo Brief → Outreach. Anyone with experience can lead me into the right direction?
0 likes • May 26
Build it as separate steps with a checkpoint between Evidence and Pain Point, that's where these break. The agent invents a pain point when the evidence is thin, so gate it: no real signal cited, route to skip instead of guessing. Demo Brief and Outreach are the easy part once the pain is real. Are you running this in n8n or straight in Claude Code?
Airtable as a backend is underrated 🤫
Okay real talk - if you're still spinning up heavy custom databases for lightweight client projects, you might be overcomplicating your life. I just wrapped a full order management system for a client using Airtable (free tier) as the backend, paired with n8n for all the automation logic. It took maybe 30 minutes to hook up once I had the logic sketched out, and it runs beautifully. Most people treat Airtable like a fancy spreadsheet. But it's actually a legit relational database and honestly one of the most underrated tools in this space. For this client it replaced a pricey software subscription, cleaned up their chaotic spreadsheet situation, and felt like a massive upgrade without the massive price tag. Two things to know before you try it: - The free tier caps at 100 internal automation runs - Easy fix: don't use Airtable's native automations at all, just let n8n do the heavy lifting instead Have you guys been sleeping on tools like Airtable for client builds, or are you already sneaking it into your stack? Genuinely curious 👇
2 likes • May 26
Airtable as a backend is great until you hit the API rate limit, 5 requests/sec per base bites the second a client's automation gets busy. For lightweight order systems it's perfect though, and the built-in grid saves you building an admin panel. I draw the line at real concurrency, then it's Supabase. What's the record count on that order system?
What I learned from building N8N workflows with Claude Code.
Recently, I moved from building N8N workflows manually to using Claude Code to build the workflows. Here are five lessons I've learned from building in N8N workflows with Claude Code. Lesson 1. Be Specific. Be specific with your goal and your desired outcome. A good way to make sure Claude knows specifically what you want to achieve is to write up a technical document or project report containing some brief detailed information about what your building, who you're building it for, the problem you're trying to solve, along with other project specifications you think might be important. The document you feed Claude doesn't have to be long, nor does it have to contain all the information about the architecture of the workflow, the different nodes you would use, or any other technical information that a builder would normally need to know. Treat Claude like a developer. Just give Claude a brief report telling it what you want and any specific details you have that you can provide and let Claude do the thinking and designing. Lesson 2. Don't just jump in to building the workflow with. Put Claude in planning mode and make sure Claude asks you specific questions about what you are trying to achieve. I've noticed that sometimes Claude will think of things that I didn't think of. Get Claude to ask you questions about your project so it knows more about what it needs to do to create the most satisfactory outcome. Lesson 3. If your project is a complex project that requires multiple workflows, ask Claude to spin up some agents that can work in parallel and build multiple workflows at once. The workflows won't be production-ready immediately. They will need to be tested, and you'll have to test each of them one by one. Having Claude's spin-up agents that work in parallel will save you time. Just make sure that Claude has a solid understanding of your project before asking Claude to spin up multiple agents to build each of the workflows. Lesson 4. Create backups and periodically save your progress. Use GitHub and JSON files to save your progress and back up your workflows and projects. By creating a GitHub repository, you can download your projects and the workflows from GitHub to your laptop when you're not using your desktop. Once you're done working on your project on your laptop, you can ask Claude to push the changes to GitHub and then download the changes from GitHub to your desktop and proceed from there. GitHub is a free cloud service you can use to save your project.
1 like • May 26
The shift from clicking nodes to describing them is real. The lesson that took me longest: let Claude write the workflow JSON, but import and run it yourself. When it tests through the API it can't see the real execution log and the feedback loop gets muddy. Did you feed it the n8n node docs, or let it work from memory? That alone changed my hit rate.
The /goal command turns Claude Code into a worker + evaluator loop
Claude Code shipped /goal a few weeks ago. Codex and Hermes have their version too. It replaces the old Ralph loop plugin people were running on their own. The idea is simple. You set a goal, Claude runs until the goal is met. What's actually happening under the hood: A worker model (Sonnet or Opus) does the real work. Writes code, runs bash, reads files. An evaluator model (Haiku) reads the conversation every turn and checks if your condition is met. When the evaluator says done, the goal auto-clears and you get control back. The catch most people miss: the evaluator only sees the transcript. It cannot run commands or check files itself. So your end condition has to be something the worker's own output can prove. Otherwise it loops forever and burns tokens. The prompt framework that works for me: 1. End state. One measurable thing. A test result, a file count, a markdown doc. 2. State check. How Claude proves it. A command, a script. 3. Constraints. Guardrails so it does not take shortcuts on other files. 4. Safety cap. Stop after 28 turns or 45 minutes. Non-negotiable. Real example: migrating 50 skills from one repo to another. Without /goal, Claude pings you for approval every few files. With /goal in auto mode, it ran straight through. Zero misses, zero babysitting. One gotcha. You need auto mode or bypass permissions on. Otherwise it stalls waiting for input and the loop dies. Also worth knowing: only one goal per session, condition can be up to 4,000 characters, and the goal survives if you close the session. You can resume it. Watch my full breakdown here: https://youtu.be/dcOg_xm5LUc?si=Syt1oZ_rIFo7BZQ_
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Josue Hernandez
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@josue-hernandez-1795
Automation and AI Enthusiast Check out my YT! https://www.youtube.com/@AIJosue

Active 7h ago
Joined Feb 12, 2025
Phoenix, Arizona
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