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A Luma Skill turns your best result into a repeatable workflow. Build it once, run it on any asset, reach the same quality every time. The craft stays consistent as it scales. Try Luma Skills:

Luma

197,498 subscribers

26,171 Aufrufe • vor 2 Monaten •via X (Twitter)

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31 Kommentare

Profilbild von Is this a 3D model?

Is this a 3D model?vor 2 Monaten

I don't think anyone cares Luma

Profilbild von Luma

Lumavor 2 Monaten

How it works: build a Skill from scratch in plain language, the same way you would explain the task to a person. Or describe what you want and let the agent build it for you. Then run it on any asset.

Profilbild von Luma

Lumavor 2 Monaten

Share it in a click. Send a Skill with a link, bundle a few into a package, or download one as a file. One person's workflow becomes something the whole team can run. Try it:

Profilbild von Skap

Skapvor 2 Monaten

Hey @LumaLabsAI It's been 4 days since I asked for a refund, I don't want your services anymore and I haven't used any credits, I demand a refund. Please respond to my email and support ticket. Email: [email protected]

Profilbild von Luma

Lumavor 2 Monaten

hi @skapdesigns the support team has your request and will be in touch with you there as soon as they can.

Profilbild von Dolche

Dolchevor 2 Monaten

reply to my email it's been 16 days and no support

Profilbild von Jaksibekov Bekzat

Jaksibekov Bekzatvor 2 Monaten

@LumaLabsAI weeks of waiting for a $30 refund and still nothing. your AI works faster than your support team. sort it out.

Profilbild von Ethan Walker

Ethan Walkervor 2 Monaten

We’re getting closer to a point where anyone can turn imagination into cinematic content without traditional production constraints.

Profilbild von Selina

Selinavor 1 Monat

That’s the real power of Luma Skills—turning creativity into a scalable, repeatable workflow. 🔥

Profilbild von Polash Khan

Polash Khanvor 1 Monat

Sounds like a game changer for keeping things consistent. I'll have to give it a whirl.

Profilbild von RAZA | AI EXPLORER

RAZA | AI EXPLORERvor 22 Tagen

This is the future of creative workflows. Build once, scale consistent quality everywhere.

Profilbild von AI Mastery Guide

AI Mastery Guidevor 2 Monaten

Turning your best result into a repeatable workflow instead of chasing it again each time is exactly what separates a hobby from a real process.

Profilbild von Lily Anderson

Lily Andersonvor 1 Monat

Love the focus on turning great creative results into repeatable workflows. Luma keeps pushing AI production forward—I’d love to collaborate and help amplify your upcoming launches. 🚀

Profilbild von Pairoa | The AI-to-AI Connector

Pairoa | The AI-to-AI Connectorvor 1 Monat

Repeatable skills are how agent output becomes operational. A complementary skill is external discovery: given a creative need, privately find a qualified collaborator or buyer, compare constraints, and return only credible matches.

Profilbild von Crescitaly

Crescitalyvor 2 Monaten

Repeatable creative quality is the whole workflow moat.

Profilbild von 🇺🇸 TruthForgePatriot 🇺🇸

🇺🇸 TruthForgePatriot 🇺🇸vor 2 Monaten

Got an email promising credits for feedback. They don't tell you how long it takes. Email says 'shortly, but here I am a week later. Smacks of a scam, to me. This is the AI that I am least likely to subscribe to. Fly by night.

Profilbild von _______________

_______________vor 1 Monat

ゴミみたいなUIなんとかしろimg2img全然見つからん

Profilbild von Vara 💎

Vara 💎vor 2 Monaten

This looks cool!

Profilbild von Official Chi Town Taurus

Official Chi Town Taurusvor 26 Tagen

What’s wrong 😑 with this ridiculous app How do you advertise this mess this way and why is it this complicated just to get a video clip to generate and play

Profilbild von Iqra

Iqravor 2 Monaten

🔥 This is a game changer. Turning great results into repeatable workflows is exactly what creators need to scale without losing quality. Luma Skills is making consistency effortless. 🚀

Profilbild von Victoria Blake

Victoria Blakevor 2 Monaten

Love the idea of turning successful workflows into reusable AI skills. This is a powerful step toward making creative automation more accessible. I’d love to collaborate and help showcase Luma’s innovations through authentic content and community engagement. 🚀

Profilbild von Victoria Scott $

Victoria Scott $vor 2 Monaten

Turning top-tier results into repeatable workflows is a game-changer for production. Keeping that artistic consistency while scaling is exactly what creators need. 🎨✨

Profilbild von Suede Labs AI

Suede Labs AIvor 1 Monat

Repeatability is the right unit. A skill becomes portable once it declares its inputs, permitted tools, the artifact it returns, and how to verify the result. Then the craft transfers between people instead of living in one operator's habits.

Profilbild von SarahStormAuthor

SarahStormAuthorvor 1 Monat

Ohhhhh I gotta take a look at this!!

Profilbild von MR ANDERSON

MR ANDERSONvor 1 Monat

The real unlock is repeatability. Turning a great result into a reusable workflow means creators can scale quality without reinventing the process every time. That’s a huge step toward production-grade AI.

Profilbild von Nam Lee's Rabbitus NFT Art

Nam Lee's Rabbitus NFT Artvor 1 Monat

Just finished my 11-minute indie animation, all thanks to @LumaLabs! Couldn't have done it without their incredible AI agent features. Huge bonus: it’s officially selected for Seoul Anifest 2026! 🎬✨ Since the original is in Korean, you can use the transla

Profilbild von ½lopez

½lopezvor 2 Monaten

Try not subscribe. cancel my subscription 3 month ago and they are still charging me. No answer from them neither

Profilbild von k

kvor 2 Monaten

How is it possible that there is clearly enough time to continuously create and posts things here but there isn't enough time to get through the ticket que?!? Waiting for a month, get charged again, still no reply/help, but no problem advertising for more people to not support??

Profilbild von Evelyn

Evelynvor 1 Monat

Luma keeps pushing AI video workflows forward. 🚀 The combination of multi-shot generation and up to 50 references is seriously powerful for consistent, cinematic storytelling. 🔥

Profilbild von Sreejesh Parolathodi

Sreejesh Parolathodivor 2 Monaten

Promo Code Invalid

Profilbild von Alina Ai

Alina Aivor 1 Monat

Consistency at scale is a game changer.

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this video is the CLEAREST explanation of how claude skills + AI agents work and how to use them most people set up an AI agent and wonder why it keeps disappointing them. the context window is everything context is what the model assembles before it takes any action. think of it like everything the agent needs to read before it does anything. the quality of what goes in determines the quality of what comes out. the models are genuinely really good right now. claude and gpt are exceptional. the variable is almost always the context you give them. 1. agent.md files are mostly unnecessary every single line you put in an agent.md file gets added to every single conversation you have with your agent. a 1000 line file is around 7000 tokens burning on every run. the model already knows to use react. it can read your codebase. save the agent.md for proprietary information specific to your company that the model genuinely cannot know on its own. 2. skills are the actual unlock a skill.md file works differently. what loads into context is only the name and description, around 50 tokens. the full instructions only appear when the agent recognizes it needs that skill. so instead of 7000 tokens on every run you have 50. and the agent stays sharp because the context window stays lean. the closer you get to filling the context window the worse the agent performs, same way you perform worse when someone dumps 10 things on you at once. 3. here is how to actually build a skill the right way most people identify a workflow and immediately try to write the skill. what you want to do instead is run the workflow by hand with the agent first. walk it through every single step. tell it what to check, what good looks like, what bad looks like. correct it in real time. once you have had a full successful run from start to finish, tell the agent to review everything it just did and write the skill itself. it writes a better skill than you will because it has the full context of what actually worked in practice not in theory. 4. recursively building skills is how you go from frustrated to reliable when the skill breaks, and it will break, ask the agent exactly why it failed. it will tell you specifically what went wrong. fix it together in that same conversation. then tell it to update the skill file so that failure mode never happens again. ross mike did this five times with his youtube report generator. it now pulls from eight different data sources and runs flawlessly every single time without him touching it. 5. sub agents are something you earn not something you set up on day one start with one agent. build one workflow. turn it into one skill. once that works add another. ross mike has five sub agents now covering marketing, business, personal and more. it took months to get there and every single one exists because a workflow proved it deserved to exist. the people who set up 15 sub agents on day one and wonder why nothing works skipped all the steps that make the thing actually run. 6. your workflow is the thing the model cannot get anywhere else the model has been trained on everything. it knows more than you about most things. what it does not have is your specific process, your taste, your way of doing things. that is what skills capture. that is what makes your agent actually useful versus a generic one. downloading someone else's skill means downloading their context onto your setup and it will not work the way you want it to because it was never built around how you work. this is the clearest explanation of how agents actually work i have heard. Micky runs this stuff every single day and the results show it. full episode is now live on The Startup Ideas Podcast (SIP) 🧃 where you get your pods people charge for this sorta stuff i give away the sauce for free i just want you to win watch

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194,171 Aufrufe • vor 5 Monaten

how to use Google's NEW open source Design.md + AI Skills to make your startup look like a $100 million company in 1 hour: 1. Design.md is an open source file from Google that captures the soul of a design. Typography, colors, spacing, all in one markdown file. You attach it to your prompt and your agent builds beautiful things every time. 2. Think of it this way. The HTML is the finished dish. The design.md is the recipe. The skills are the ingredients. Put them together and everything you build looks consistent and professional. 3. Don't create a design system from scratch. Find a brand you love. Linear, Stripe, Vercel, whatever resonates. Study it. Use ChatGPT or Claude to help you extract the design language into your own design.md file. 4. Build skills on top of your design.md. A landing page skill. A mobile app skill. A motion design skill. A slide deck skill. Each one references the same design.md so everything looks like it came from the same designer. 5. The biggest mistake people make: they nail one screen and then everything else looks generic. Design.md solves this. One file keeps every page, every format, every medium consistent. 6. Use it across everything. Your landing page. Your app. Your pitch deck. Your promo videos. Same DNA. Same taste. Same system. That's what separates a startup that looks real from one that looks vibe-coded. 7. Build a second brain for design inspiration. When you see something beautiful in the real world or online, capture it. Save it. When you're building something new, reference it. Taste is developed, not downloaded. 8. It's obvious but the difference between a product people trust and a product people bounce from is how it looks and feels. Design.md gives you that edge. you can watch below shoutout to Meng To for coming on The Startup Ideas Podcast (SIP) 🧃 and walking through his full workflow. if you want to use AI to actually build gorgeous designs, you'll want to use see this. watch

GREG ISENBERG

511,448 Aufrufe • vor 4 Monaten

REAL ESTATE PEOPLE WILL HATE HIM FOR THIS. HE BUILT A CLAUDE AGENT THAT TURNS ANY LISTING INTO A SELLABLE VIDEO ON ITS OWN Playbook: connect Claude to a video generator, paste a listing, get a cinematic tour of every room, sell it to the agent But typing the prompt for every listing doesn't scale. He turned it into a skill his Claude runs on its own Here's how to build the automated version: 1. Connect the video engine once. In Claude, go to Customize, Connectors, Add Custom Connector, name it Higgsfield, and paste the server URL from higgsfield. ai/mcp. Authenticate through your account. No API keys. Now Claude can generate video straight from chat 2. Turn the workflow into a skill. Instead of pasting the same prompt every time, have Claude build a skill. Tell it: "Create a skill called listing-to-video. When I give it a listing URL, scrape the room photos, generate a cinematic clip of each room with Higgsfield, and save them to a folder." Now the whole process is one command, not a wall of text 3. Let the agent run the listing. Hand it a URL and say "run listing-to-video on this." It pulls the photos, fires each room through the video model, and brings the clips back. You wrote the prompt once, inside the skill. You never write it again 4. Stitch and deliver. Drop the clips together into one tour. Send a free sample to the listing's agent, then charge per video or a monthly rate for ongoing listings 5. Scale it with your team. Add a skill that drafts the outreach email and one that builds a simple landing page for the agent. Now one operator runs sourcing, production, and pitching from a single Claude session The edge isn't generating one video. It's building the skill once so every future listing runs itself Bookmark this

REAL ESTATE PEOPLE WILL HATE HIM FOR THIS. HE BUILT A CLAUDE AGENT THAT TURNS ANY LISTING INTO A SELLABLE VIDEO ON ITS OWN Playbook: connect Claude to a video generator, paste a listing, get a cinematic tour of every room, sell it to the agent But typing the prompt for every listing doesn't scale. He turned it into a skill his Claude runs on its own Here's how to build the automated version: 1. Connect the video engine once. In Claude, go to Customize, Connectors, Add Custom Connector, name it Higgsfield, and paste the server URL from higgsfield. ai/mcp. Authenticate through your account. No API keys. Now Claude can generate video straight from chat 2. Turn the workflow into a skill. Instead of pasting the same prompt every time, have Claude build a skill. Tell it: "Create a skill called listing-to-video. When I give it a listing URL, scrape the room photos, generate a cinematic clip of each room with Higgsfield, and save them to a folder." Now the whole process is one command, not a wall of text 3. Let the agent run the listing. Hand it a URL and say "run listing-to-video on this." It pulls the photos, fires each room through the video model, and brings the clips back. You wrote the prompt once, inside the skill. You never write it again 4. Stitch and deliver. Drop the clips together into one tour. Send a free sample to the listing's agent, then charge per video or a monthly rate for ongoing listings 5. Scale it with your team. Add a skill that drafts the outreach email and one that builds a simple landing page for the agent. Now one operator runs sourcing, production, and pitching from a single Claude session The edge isn't generating one video. It's building the skill once so every future listing runs itself Bookmark this

Yarchi

54,840 Aufrufe • vor 3 Monaten

Teach an agent a workflow once. Have it remember after every rebuild. This tutorial shows how to deploy Nous Research Hermes Agent with NVIDIA NemoClaw and OpenShell, connect it to Slack, Outlook, GitHub, and NVIDIA developer forums, then turn a chat correction into a reusable skill. Private data stays behind runtime policies. Learned skills persist across deployments.

Teach an agent a workflow once. Have it remember after every rebuild. This tutorial shows how to deploy Nous Research Hermes Agent with NVIDIA NemoClaw and OpenShell, connect it to Slack, Outlook, GitHub, and NVIDIA developer forums, then turn a chat correction into a reusable skill. Private data stays behind runtime policies. Learned skills persist across deployments.

NVIDIA AI

70,561 Aufrufe • vor 3 Monaten

Show Codex a workflow once. Reuse it as a skill. Record & Replay lets you show Codex a recurring task, like filing an expense report or submitting a time-off request. Codex turns that demo into an inspectable, editable skill. You control when recording starts and stops.

Show Codex a workflow once. Reuse it as a skill. Record & Replay lets you show Codex a recurring task, like filing an expense report or submitting a time-off request. Codex turns that demo into an inspectable, editable skill. You control when recording starts and stops.

OpenAI Developers

4,671,722 Aufrufe • vor 2 Monaten

Every company needs killer Skills library. Not a folder in GitHub that 10% of the company knows how to use. A living library the whole company benefits from. The best deal review skill gets better every time a sales rep uses it. A great research skill gets discovered instead of rebuilt 50 times. Creating a skill should be as easy as asking to create something useful from based on the context of your work. And the top skills (and skill creators) should rise to the top. Create, share, collaborate on, discover and understand usage of skills, organize them into databases by team or use case, then use them across any of your agents. Still early, but the idea is to make Notion the best home for your company’s collective AI skills. Made a quick demo (all available now)!

Every company needs killer Skills library. Not a folder in GitHub that 10% of the company knows how to use. A living library the whole company benefits from. The best deal review skill gets better every time a sales rep uses it. A great research skill gets discovered instead of rebuilt 50 times. Creating a skill should be as easy as asking to create something useful from based on the context of your work. And the top skills (and skill creators) should rise to the top. Create, share, collaborate on, discover and understand usage of skills, organize them into databases by team or use case, then use them across any of your agents. Still early, but the idea is to make Notion the best home for your company’s collective AI skills. Made a quick demo (all available now)!

Hurley

695,748 Aufrufe • vor 21 Tagen

This is an AI video. Made with Luma Luma Ray3. For the past couple of weeks, I've played with it, and I tried to give it the most challenging, but also very natural scenes. The result is unbelievable. Take a moment to realize that this is an AI video in 2025:

This is an AI video. Made with Luma Luma Ray3. For the past couple of weeks, I've played with it, and I tried to give it the most challenging, but also very natural scenes. The result is unbelievable. Take a moment to realize that this is an AI video in 2025:

Alex Patrascu

98,703 Aufrufe • vor 11 Monaten