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

i think its time to form a partnership across multiple ai automation fields. the goal to create a loose partnership between proven ai automatons that stay in touch with each other daily across time zones, languages and countries sharing their BS free insight (so not skool) and refer each other customers based on real world ai automations that each member specializes and has proven to deliver on time, budget and quality metrical (so be ready to provide contact information of your previous/current customers so we can validate experience and feedback). want in? DM your linkedin/resume/website(requirement)

There's a name for what happens when Claude starts losing the plot halfway through your session. It's called context rot. Every tool call, every file read, every result - it fills up a window. After 30-40 minutes of real work, 40% of that window is already gone. Claude is working with stale data. It starts contradicting itself. Forgetting what you told it. Giving you garbage. It's not a bug. It's just how these models work. Friday we covered three skills that solve it: - GSD (Get Shit Done) - each task gets its own fresh sub-agent. Like giving each job its own office instead of stacking everything into one room. - - Context Mode - compresses a 315KB tool output down to 5.4KB before it hits your context. Same information. Fraction of the cost. - - Claude Mem - persistent memory across sessions. Claude wakes up next week knowing exactly what you were building. The contractor forgets you between gigs. The employee remembers. That's the difference. Full recording: https://youtu.be/cr7XVJJk-Ec See you Friday.

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_

created n8n + dockling + ollama + deepseek + qdrant + obsidian automation to convert all recent US government UFO files into a searchable and interconnected library that can be queried, visually searched and AI prompted.