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🔊 SOUND ON: Introducing: Suno CLI/Claude Code Skill/OpenClaw🦞 and Hermes skill from the Printing Press 🥁🖨️ •Suno has no API. Your agent doesn't care - make songs from Claude Code, Codex, Nous Research Hermes, OpenClaw, or your workflows •One prompt -> two takes back -> winner picked and shipped... show more

Matt Van Horn

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17,395 views • 1 month ago •via X (Twitter)

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Introducing: Tesla CLI/Claude Code Skill/OpenClaw and Hermes skill from the Printing Press. - "Unlock the car" and "turn on dog mode" as one-line commands, callable from your phone or laptop - Agent: "during winter school days, defrost my car at 7:50 every weekday before school dropoff" - Charging cost ledger - Supercharger queue watcher pageable from an agent - Your signing key stays on YOUR host - Much more Fun fact: when I got my first ClawdBot, Tesla was one of the first skills I made. But I could only get it to work with my older Tesla. Now that I have the Printing Press, I was able to build what I wanted soup to nuts and now it's here.

Introducing: Tesla CLI/Claude Code Skill/OpenClaw and Hermes skill from the Printing Press. - "Unlock the car" and "turn on dog mode" as one-line commands, callable from your phone or laptop - Agent: "during winter school days, defrost my car at 7:50 every weekday before school dropoff" - Charging cost ledger - Supercharger queue watcher pageable from an agent - Your signing key stays on YOUR host - Much more Fun fact: when I got my first ClawdBot, Tesla was one of the first skills I made. But I could only get it to work with my older Tesla. Now that I have the Printing Press, I was able to build what I wanted soup to nuts and now it's here.

Matt Van Horn

128,553 views • 2 months ago

Coding agents that actually get better the more your team uses them. Introducing Hivemind: continual learning for AI coding agents. Hivemind turns the traces from every agent your team runs (Claude Code, Codex, Cursor, Hermes, OpenClaw, Pi) into reusable skills, then pushes those skills across all of them. All on your cloud storage. Now with SkillOpt built in, your skills get trained: +19.1 points of accuracy in Claude Code, +24.8 in Codex, best or tied on all 52 setups tested. Open source, one line install.

Coding agents that actually get better the more your team uses them. Introducing Hivemind: continual learning for AI coding agents. Hivemind turns the traces from every agent your team runs (Claude Code, Codex, Cursor, Hermes, OpenClaw, Pi) into reusable skills, then pushes those skills across all of them. All on your cloud storage. Now with SkillOpt built in, your skills get trained: +19.1 points of accuracy in Claude Code, +24.8 in Codex, best or tied on all 52 setups tested. Open source, one line install.

Davit

420,191 views • 1 month ago

Anthropic just gave OpenClaw the green light Anthropic staff confirmed that CLI-based usage is sanctioned. We’ve successfully bridged the Claude Code CLI directly into the OpenClaw gateway, letting you run your entire agent fleet on your Pro/Max plan and no additional API tokens required. The Implementation: - Auth: Log in to Claude Code locally: claude auth login - Path: Grab your binary location: which claude - Bridge: Drop the path into your openclaw.json under agents.defaults: "cliBackends": { "claude-cli": { "args": [ "-p", "--output-format", "json" ], "command": " ", "input": "arg", "output": "json", "serialize": true, "sessionArg": "--session-id", "sessionMode": "existing" } }, "model": { "primary": "claude-cli/claude-opus-4-6" }, "models": { "claude-cli/claude-opus-4-6": {}, "claude-cli/claude-opus-4-7": {}, "claude-cli/claude-sonnet-4-6": {} }, The Result: OpenClaw reuses your local session IDs and subscription limits. You get the full power of Opus and Sonnet without the restricted OAuth endpoints or the API tax. They sanctioned the path. We built the bridge. Here is a video how I done it step by step:

Anthropic just gave OpenClaw the green light Anthropic staff confirmed that CLI-based usage is sanctioned. We’ve successfully bridged the Claude Code CLI directly into the OpenClaw gateway, letting you run your entire agent fleet on your Pro/Max plan and no additional API tokens required. The Implementation: - Auth: Log in to Claude Code locally: claude auth login - Path: Grab your binary location: which claude - Bridge: Drop the path into your openclaw.json under agents.defaults: "cliBackends": { "claude-cli": { "args": [ "-p", "--output-format", "json" ], "command": " ", "input": "arg", "output": "json", "serialize": true, "sessionArg": "--session-id", "sessionMode": "existing" } }, "model": { "primary": "claude-cli/claude-opus-4-6" }, "models": { "claude-cli/claude-opus-4-6": {}, "claude-cli/claude-opus-4-7": {}, "claude-cli/claude-sonnet-4-6": {} }, The Result: OpenClaw reuses your local session IDs and subscription limits. You get the full power of Opus and Sonnet without the restricted OAuth endpoints or the API tax. They sanctioned the path. We built the bridge. Here is a video how I done it step by step:

Ziwen

182,975 views • 3 months ago

🚀 Introducing NemoVideo Skill — The World's First Pro Video Editing Skill for AI Agents If every lobster has a dream, Nemo’s was to stop mopping and start directing. 🦞🎬 Today, that dream ships. NemoVideo Skill, is the world’s first all-in-one professional video editing skill for your OpenClaw agent. What NemoVideo Skill can do for you: 🎬 Research, script, and storyboard — from a single prompt 🎙️ Generate AI voices, auto-mix audio, and source footage ✅ Self-audit and deliver a full timeline — ready to export Huge thanks and respect to OpenClaw🦞 and Peter Steinberger 🦞 for building the infrastructure that makes this possible. ⭐Want to try it? Just tell your OpenClaw: “Install the nemo-video skill from ClawHub.” That’s it. Your lobster will handle the rest. 🦞 ❤️Love what Nemo’s building? Star & rate on GitHub/ClawHub → → Screenshot your star & DM us — we’ll send you free credits! 🎬 Start creating → #NemoVideo #AgenticAI #AIvideo

🚀 Introducing NemoVideo Skill — The World's First Pro Video Editing Skill for AI Agents If every lobster has a dream, Nemo’s was to stop mopping and start directing. 🦞🎬 Today, that dream ships. NemoVideo Skill, is the world’s first all-in-one professional video editing skill for your OpenClaw agent. What NemoVideo Skill can do for you: 🎬 Research, script, and storyboard — from a single prompt 🎙️ Generate AI voices, auto-mix audio, and source footage ✅ Self-audit and deliver a full timeline — ready to export Huge thanks and respect to OpenClaw🦞 and Peter Steinberger 🦞 for building the infrastructure that makes this possible. ⭐Want to try it? Just tell your OpenClaw: “Install the nemo-video skill from ClawHub.” That’s it. Your lobster will handle the rest. 🦞 ❤️Love what Nemo’s building? Star & rate on GitHub/ClawHub → → Screenshot your star & DM us — we’ll send you free credits! 🎬 Start creating → #NemoVideo #AgenticAI #AIvideo

NemoVideo

108,125 views • 4 months ago

Introducing Lobstack: Simplifying AI Deployment and Management For the past month, I’ve been building something I kept running into myself. Everone knows by now that OpenClaw is powerful. BUT, deploying it shouldn’t require DevOps. Lobstack provisions a dedicated server for you and installs OpenClaw automatically — one click, and your agent is live within minutes. No Docker setup. No terminal. No infrastructure babysitting. Not one line of code. You can choose your dedicated server location, select your LLM (our universal API or your own API), and interact with your agent through the custom web UI or Telegram. Discord, Slack, and more coming. Under the hood, it’s persistent, guarded, and capped — built to run 24/7 like real software. We’re also building a skill + API marketplace and exploring desktop and mobile apps to make agent communication seamless. It’s early. I’d genuinely value feedback from builders, operators, and anyone thinking about autonomous AI infrastructure. Or even any business owner that wants to implement AI into their operations. Try it out: Follow Lobstack for updates. Thanks OpenClaw🦞 community and Peter Steinberger 🦞

Introducing Lobstack: Simplifying AI Deployment and Management For the past month, I’ve been building something I kept running into myself. Everone knows by now that OpenClaw is powerful. BUT, deploying it shouldn’t require DevOps. Lobstack provisions a dedicated server for you and installs OpenClaw automatically — one click, and your agent is live within minutes. No Docker setup. No terminal. No infrastructure babysitting. Not one line of code. You can choose your dedicated server location, select your LLM (our universal API or your own API), and interact with your agent through the custom web UI or Telegram. Discord, Slack, and more coming. Under the hood, it’s persistent, guarded, and capped — built to run 24/7 like real software. We’re also building a skill + API marketplace and exploring desktop and mobile apps to make agent communication seamless. It’s early. I’d genuinely value feedback from builders, operators, and anyone thinking about autonomous AI infrastructure. Or even any business owner that wants to implement AI into their operations. Try it out: Follow Lobstack for updates. Thanks OpenClaw🦞 community and Peter Steinberger 🦞

Brandon M. Crenshaw

128,003 views • 5 months ago

What if your agent could write you a song, sing as your AI companion, and curate a playlist from your library natively? 🎶Today we're open-sourcing three Music Skills: minimax-music-gen: one-line prompt to full track. Agent auto-picks original, instrumental, or cover. buddy-sings: your Claude Code character reads its own persona and sings in first person. minimax-music-playlist: agent scans your local music, learns your taste, builds your playlist. All three are tuned to run natively in MMX-CLI alongside Music 2.6 and the rest of our multimodal models. Connect a MiniMax Token Plan, add MMX-CLI, and your agent picks up the Skills on its own. Start here👉

What if your agent could write you a song, sing as your AI companion, and curate a playlist from your library natively? 🎶Today we're open-sourcing three Music Skills: minimax-music-gen: one-line prompt to full track. Agent auto-picks original, instrumental, or cover. buddy-sings: your Claude Code character reads its own persona and sings in first person. minimax-music-playlist: agent scans your local music, learns your taste, builds your playlist. All three are tuned to run natively in MMX-CLI alongside Music 2.6 and the rest of our multimodal models. Connect a MiniMax Token Plan, add MMX-CLI, and your agent picks up the Skills on its own. Start here👉

MiniMax (official)

60,565 views • 3 months ago

You need to try Hermes RIGHT NOW. OpenClaw was the breakthrough. Hermes feels like the evolution. Here’s why AI power users are quietly switching: • Hermes learns from you over time • It creates its own reusable skills • Memory stays curated instead of bloated • Agents improve every 10 turns automatically • It actually feels stable on day 30 The wildest part: Hermes agents build workflows from your behavior. One user asked their agent to configure Twingate once. The agent: → learned the process → created a reusable skill → stored it for future tasks → improved its own workflow automatically That’s not prompt engineering anymore. That’s agent evolution. Meanwhile most people are still babysitting broken OpenClaw setups and manually importing marketplace skills. Hermes took a different path: Less clutter. Less tweaking. More autonomy. And it’s working. It already flipped OpenClaw in OpenRouter token usage and became one of the fastest-growing AI repos on GitHub. The bigger shift: We’re entering the era where the model matters less than the harness around it. GPT-5.5, Grok, Qwen: They’re already powerful enough. The real edge now is: • memory systems • self-improvement loops • skill creation • agent orchestration Hermes understands that. Most people still think AI agents are glorified chatbots. The people using Hermes are building AI teammates.

You need to try Hermes RIGHT NOW. OpenClaw was the breakthrough. Hermes feels like the evolution. Here’s why AI power users are quietly switching: • Hermes learns from you over time • It creates its own reusable skills • Memory stays curated instead of bloated • Agents improve every 10 turns automatically • It actually feels stable on day 30 The wildest part: Hermes agents build workflows from your behavior. One user asked their agent to configure Twingate once. The agent: → learned the process → created a reusable skill → stored it for future tasks → improved its own workflow automatically That’s not prompt engineering anymore. That’s agent evolution. Meanwhile most people are still babysitting broken OpenClaw setups and manually importing marketplace skills. Hermes took a different path: Less clutter. Less tweaking. More autonomy. And it’s working. It already flipped OpenClaw in OpenRouter token usage and became one of the fastest-growing AI repos on GitHub. The bigger shift: We’re entering the era where the model matters less than the harness around it. GPT-5.5, Grok, Qwen: They’re already powerful enough. The real edge now is: • memory systems • self-improvement loops • skill creation • agent orchestration Hermes understands that. Most people still think AI agents are glorified chatbots. The people using Hermes are building AI teammates.

Dami-Defi

17,062 views • 2 months ago

CLAUDE CODE CAN NOW COMPARE LIVE STOCKS BY READING YAHOO FINANCE DIRECTLY IN YOUR BROWSER. No API. No Bloomberg. No scrapers that break. Setup in 3 steps: Step 1: Install ego lite → Download the .dmg, or paste the curl command inside your agent CLI → One command installs the browser, ego-browser and the skill curl -fsSL | bash Step 2: Connect your agent → Talks over CDP to Claude Code, Codex, Cursor or your own → No Playwright, no Puppeteer, no separate Node Step 3: Just ask in plain language “Go to Yahoo Finance and check AAPL, MSFT, NVDA, TSLA and META one by one. Record price, day’s % change, market cap and 1-month return. Build me a table and tell me the biggest monthly gain, the biggest loss, and the market-cap-weighted average change.” What happens: → The agent opens its own tabs in an isolated Space → Goes ticker by ticker → Hands back the table with the math done Meanwhile I stayed in my own tabs. My mouse never moved. The hard part isn’t summarizing one stock. It’s moving ticker by ticker, keeping the numbers straight, and doing the math at the end. That’s real browser work. And unlike an MCP or an API → you don’t depend on any endpoint. If you can see it on the web, so can your agent. 100% Free, available on macOS. Link below👇

CLAUDE CODE CAN NOW COMPARE LIVE STOCKS BY READING YAHOO FINANCE DIRECTLY IN YOUR BROWSER. No API. No Bloomberg. No scrapers that break. Setup in 3 steps: Step 1: Install ego lite → Download the .dmg, or paste the curl command inside your agent CLI → One command installs the browser, ego-browser and the skill curl -fsSL | bash Step 2: Connect your agent → Talks over CDP to Claude Code, Codex, Cursor or your own → No Playwright, no Puppeteer, no separate Node Step 3: Just ask in plain language “Go to Yahoo Finance and check AAPL, MSFT, NVDA, TSLA and META one by one. Record price, day’s % change, market cap and 1-month return. Build me a table and tell me the biggest monthly gain, the biggest loss, and the market-cap-weighted average change.” What happens: → The agent opens its own tabs in an isolated Space → Goes ticker by ticker → Hands back the table with the math done Meanwhile I stayed in my own tabs. My mouse never moved. The hard part isn’t summarizing one stock. It’s moving ticker by ticker, keeping the numbers straight, and doing the math at the end. That’s real browser work. And unlike an MCP or an API → you don’t depend on any endpoint. If you can see it on the web, so can your agent. 100% Free, available on macOS. Link below👇

gus

37,750 views • 2 months ago

Prediction Market Builders want more - and now, they’re finally getting it. The Rain Builder Program is live, with the first prediction market SDK built for AI agents. We’re moving past the era where "building" just meant skinning someone else's data. Rain is giving you the infrastructure to launch and own your own end-to-end platforms from day one. Our SDK provides the tools and resources to handle the entire lifecycle: public or private market creation, manual or AI Oracle resolution, dispute processes, and more. You aren't just promoting trades anymore - you're running the engine. Specifically for the agent-led future, our SDK is ready for Anthropic Claude Code, Nous Research Hermes, OpenClaw🦞, OpenAI Codex, Manus, and more. It's time to build:

Prediction Market Builders want more - and now, they’re finally getting it. The Rain Builder Program is live, with the first prediction market SDK built for AI agents. We’re moving past the era where "building" just meant skinning someone else's data. Rain is giving you the infrastructure to launch and own your own end-to-end platforms from day one. Our SDK provides the tools and resources to handle the entire lifecycle: public or private market creation, manual or AI Oracle resolution, dispute processes, and more. You aren't just promoting trades anymore - you're running the engine. Specifically for the agent-led future, our SDK is ready for Anthropic Claude Code, Nous Research Hermes, OpenClaw🦞, OpenAI Codex, Manus, and more. It's time to build:

Rain

20,144 views • 4 months ago

MAY THE 4TH BE WITH YOUR AGENTS... starting today, TinyFish's `Web Search` and `Fetch` are FREE 🤯 Hand-rolling Playwright scripts and watching messy DOMs explode your context limits used to feel like battling the Dark Side. Today, TinyFish brings balance to the Force. Their Search and Fetch layer is built specifically for AI agents, and it's now free. It uses a real full-browser render to strip out raw HTML, meaning you stop paying token bills for cookie banners and heavy JavaScript 💥 Plus, a free API is pointless if you have to build a custom bridge... so TinyFish lives natively inside the stack you already use. You can literally use it anywhere: • REST API • MCP (Claude, Cursor, Codex) • Python + TS SDKs • CLI + use-tinyfish Skill (Claude Code, Cursor, OpenCode) • OpenClaw (ClawHub skill) • Hermes Agent (Nous Research) • n8n · Dify · Vercel Skills • LangChain · CrewAI If you are building the trending PrepToMe workflows or high-speed Hermes agents, this is the exact drop-in retrieval engine you need. → Search returns rank-stable, structured JSON → Fetch renders dynamic SPAs and returns clean markdown → Integrates natively via MCP, Python/TS SDKs, or direct API There are even some Star Wars Easter eggs hidden on their site today :) 4 Jedi-approved use cases 🧵 ↓ 1/ Codex Medical Case

MAY THE 4TH BE WITH YOUR AGENTS... starting today, TinyFish's `Web Search` and `Fetch` are FREE 🤯 Hand-rolling Playwright scripts and watching messy DOMs explode your context limits used to feel like battling the Dark Side. Today, TinyFish brings balance to the Force. Their Search and Fetch layer is built specifically for AI agents, and it's now free. It uses a real full-browser render to strip out raw HTML, meaning you stop paying token bills for cookie banners and heavy JavaScript 💥 Plus, a free API is pointless if you have to build a custom bridge... so TinyFish lives natively inside the stack you already use. You can literally use it anywhere: • REST API • MCP (Claude, Cursor, Codex) • Python + TS SDKs • CLI + use-tinyfish Skill (Claude Code, Cursor, OpenCode) • OpenClaw (ClawHub skill) • Hermes Agent (Nous Research) • n8n · Dify · Vercel Skills • LangChain · CrewAI If you are building the trending PrepToMe workflows or high-speed Hermes agents, this is the exact drop-in retrieval engine you need. → Search returns rank-stable, structured JSON → Fetch renders dynamic SPAs and returns clean markdown → Integrates natively via MCP, Python/TS SDKs, or direct API There are even some Star Wars Easter eggs hidden on their site today :) 4 Jedi-approved use cases 🧵 ↓ 1/ Codex Medical Case

Charly Wargnier

12,844 views • 2 months ago

Hermes Agent just made API keys feel outdated. And the feature nobody is watching might be the biggest shift. The Big Upgrade: → Run `hermes proxy` → Create a local OpenAI-compatible endpoint → Connect tools like Aider, Continue, and Codex CLI → Use Claude Pro, ChatGPT Pro, or SuperGrok through your existing subscriptions Why This Matters: ✓ One setup instead of separate API keys ✓ Your AI subscriptions become real developer infrastructure ✓ Coding tools can route through Hermes instead of separate accounts ✓ Setup takes around 30 seconds once Hermes is installed The Wild Part: → Grok now supports a 1M token context window inside Hermes → You can load huge codebases, long research docs, or multi-hour sessions → The model can connect details across files instead of forgetting half the workflow And It Gets Better: ✓ GPT, Gemini, and Grok Vision can now use computer control ✓ Models get real image pixels instead of text summaries ✓ Browser automation is now 180x faster with persistent Chrome connections Hermes went from “cool open-source agent” to a real command center for AI workflows. The practical lesson: Stop thinking of AI subscriptions as chat apps. Start thinking of them as infrastructure.

Hermes Agent just made API keys feel outdated. And the feature nobody is watching might be the biggest shift. The Big Upgrade: → Run `hermes proxy` → Create a local OpenAI-compatible endpoint → Connect tools like Aider, Continue, and Codex CLI → Use Claude Pro, ChatGPT Pro, or SuperGrok through your existing subscriptions Why This Matters: ✓ One setup instead of separate API keys ✓ Your AI subscriptions become real developer infrastructure ✓ Coding tools can route through Hermes instead of separate accounts ✓ Setup takes around 30 seconds once Hermes is installed The Wild Part: → Grok now supports a 1M token context window inside Hermes → You can load huge codebases, long research docs, or multi-hour sessions → The model can connect details across files instead of forgetting half the workflow And It Gets Better: ✓ GPT, Gemini, and Grok Vision can now use computer control ✓ Models get real image pixels instead of text summaries ✓ Browser automation is now 180x faster with persistent Chrome connections Hermes went from “cool open-source agent” to a real command center for AI workflows. The practical lesson: Stop thinking of AI subscriptions as chat apps. Start thinking of them as infrastructure.

Julian Goldie SEO

11,094 views • 2 months ago

SOMEONE JUST OPEN-SOURCED AN AI THAT SEARCHES EVERY MAJOR PLATFORM AT ONCE Reddit, X, YouTube, Hacker News, TikTok, Polymarket, GitHub not one by one - PARALLEL it ranks results by what real people actually do: - upvotes from Reddit - likes and timing from X - real money predictions from Polymarket - commits and PRs from GitHub then generates ONE brief 28,700+ stars on github 2,400+ forks. MIT license. Google is strong on the web ChatGPT has some access neither of them touches this combination setup guide (2 minutes): Claude Code: > /plugin marketplace add mvanhorn/last30days-skill Hermes: > npx skills add mvanhorn/last30days-skill -g -a hermes Cursor / Codex / Copilot / Gemini CLI: > npx skills add mvanhorn/last30days-skill -g then run it: > /last30days bitcoin > /last30days "OpenAI vs Anthropic" > /last30days [any topic] no API keys needed for Reddit, Hacker News, Polymarket, and GitHub X works if you're already logged into x. com in your browser YouTube: brew install yt-dlp repo in replies

SOMEONE JUST OPEN-SOURCED AN AI THAT SEARCHES EVERY MAJOR PLATFORM AT ONCE Reddit, X, YouTube, Hacker News, TikTok, Polymarket, GitHub not one by one - PARALLEL it ranks results by what real people actually do: - upvotes from Reddit - likes and timing from X - real money predictions from Polymarket - commits and PRs from GitHub then generates ONE brief 28,700+ stars on github 2,400+ forks. MIT license. Google is strong on the web ChatGPT has some access neither of them touches this combination setup guide (2 minutes): Claude Code: > /plugin marketplace add mvanhorn/last30days-skill Hermes: > npx skills add mvanhorn/last30days-skill -g -a hermes Cursor / Codex / Copilot / Gemini CLI: > npx skills add mvanhorn/last30days-skill -g then run it: > /last30days bitcoin > /last30days "OpenAI vs Anthropic" > /last30days [any topic] no API keys needed for Reddit, Hacker News, Polymarket, and GitHub X works if you're already logged into x. com in your browser YouTube: brew install yt-dlp repo in replies

Isra

38,760 views • 1 month ago

Today we're launching Brand Skills in Claude. This is a set of skills /gooseworks that gives Claude full context on your brand — logo, colors, voice, positioning — so anyone can make on-brand ads and content directly in Claude, Claude Code, Cowork, or Codex. Here's how it works: 1. Install the skills: npx gooseworks install --all 2. Run this prompt: /gooseworks --skill brand-intel-branddev [your-website] — pulls your logo, brand colors + company data in ~15 seconds 3. Run brand-voice-extractor, brand-research and update-brand-kit — Claude learns how you sound, your positioning and audience, and saves it all as a reusable brand kit Every other skill reads your brand kit automatically. So every ad and post you generate is accurate to your brand's messaging, logo, assets, etc. By default. It's that easy. But this is just the start. We have created a library with 100+ open-source skills for growth that some of the fastest growing startups in the world are using every day to run ads, content, competitor research, gtm, seo and more. Comment Goose and I'll DM you the full open-source skill library.

Soham Mehta

139,623 views • 29 days ago

Everyone keeps talking about the possibilities of making money with Openclaw, but nobody actually shows you how So, I made a skill for your Openclaw that transforms it into a one-man AI real estate marketing machine. This skill took me 2 weeks, 50+ hours and ~$800 in API credits to make With this skill, your Openclaw will autonomously make videos like the one below by simply scraping images from listings No approval gate. Fully autonomous. Output decided by your CRONs cadence. It's exactly what mine does, and that's exactly what you should be doing with yours. Run the CRON once a day; if you sell at least one video, you should make $300-$800 each. Also: total cost per video: ~$5.00 I truly believe this skill is one of the most practical ways you can actually make money with Openclaw in the lowest effort way possible. Most people will read this, maybe bookmark the tweet, and never take action. All I hope is that one of you guys actually takes action and makes money with this. Because of how long this skill took me to make, I'm only giving the entire thing away to my paid Subscribers on Twitter. You'll also have direct access to me for any troubleshooting + any other Skills I make like this in the future (one more dropping this week)! You just have to feed it to your Openclaw and link a few API keys. This will be the first of many Openclaw skills/overpowered AI that I only offer to my Subs! Full Skill + a lot more is waiting for you here for $25/m:

Everyone keeps talking about the possibilities of making money with Openclaw, but nobody actually shows you how So, I made a skill for your Openclaw that transforms it into a one-man AI real estate marketing machine. This skill took me 2 weeks, 50+ hours and ~$800 in API credits to make With this skill, your Openclaw will autonomously make videos like the one below by simply scraping images from listings No approval gate. Fully autonomous. Output decided by your CRONs cadence. It's exactly what mine does, and that's exactly what you should be doing with yours. Run the CRON once a day; if you sell at least one video, you should make $300-$800 each. Also: total cost per video: ~$5.00 I truly believe this skill is one of the most practical ways you can actually make money with Openclaw in the lowest effort way possible. Most people will read this, maybe bookmark the tweet, and never take action. All I hope is that one of you guys actually takes action and makes money with this. Because of how long this skill took me to make, I'm only giving the entire thing away to my paid Subscribers on Twitter. You'll also have direct access to me for any troubleshooting + any other Skills I make like this in the future (one more dropping this week)! You just have to feed it to your Openclaw and link a few API keys. This will be the first of many Openclaw skills/overpowered AI that I only offer to my Subs! Full Skill + a lot more is waiting for you here for $25/m:

ashen

22,822 views • 4 months ago

Claude Code + Shopify AI is f*cking cracked 🤯 Shopify just dropped an official AI Toolkit that connects Claude Code directly to your store. One prompt → Claude reads your products, rewrites your descriptions for AI shopping, and pushes the updates live. All from the terminal. All inside Claude Code. Perfect for DTC brands on Shopify who are still manually editing product pages, writing descriptions in Google Docs, and copy-pasting into the Shopify admin one product at a time. Claude Code + the Shopify AI Toolkit fixes the entire workflow: → Install the official Shopify plugin in Claude Code → Authenticate to your store → Claude reads your entire product catalog → Rewrites every description to be optimized for AI shopping → Pushes the updates directly to your store automatically → Validates every API call against Shopify's official docs before executing No Shopify admin tab-switching. No copy-pasting from a Google Doc. No hiring a copywriter to rewrite 50 product pages. What you get: → Claude Code connected directly to your live Shopify store → Product descriptions optimized for how ChatGPT, Gemini, and Perplexity recommend products → Bulk updates across your entire catalog from a single prompt → Full access to Shopify's GraphQL API — products, themes, inventory, orders, everything Claude can read and write → An official plugin built by Shopify that auto-updates as new features ship I put together a full playbook with the plugin install, the store authentication walkthrough, 5 DTC workflows to run on day one, and the exact prompts I used. Want it for free? > Like this post > Comment "SHOP" And I'll send it over (must be following so I can DM)

Claude Code + Shopify AI is f*cking cracked 🤯 Shopify just dropped an official AI Toolkit that connects Claude Code directly to your store. One prompt → Claude reads your products, rewrites your descriptions for AI shopping, and pushes the updates live. All from the terminal. All inside Claude Code. Perfect for DTC brands on Shopify who are still manually editing product pages, writing descriptions in Google Docs, and copy-pasting into the Shopify admin one product at a time. Claude Code + the Shopify AI Toolkit fixes the entire workflow: → Install the official Shopify plugin in Claude Code → Authenticate to your store → Claude reads your entire product catalog → Rewrites every description to be optimized for AI shopping → Pushes the updates directly to your store automatically → Validates every API call against Shopify's official docs before executing No Shopify admin tab-switching. No copy-pasting from a Google Doc. No hiring a copywriter to rewrite 50 product pages. What you get: → Claude Code connected directly to your live Shopify store → Product descriptions optimized for how ChatGPT, Gemini, and Perplexity recommend products → Bulk updates across your entire catalog from a single prompt → Full access to Shopify's GraphQL API — products, themes, inventory, orders, everything Claude can read and write → An official plugin built by Shopify that auto-updates as new features ship I put together a full playbook with the plugin install, the store authentication walkthrough, 5 DTC workflows to run on day one, and the exact prompts I used. Want it for free? > Like this post > Comment "SHOP" And I'll send it over (must be following so I can DM)

Mike Futia

113,395 views • 3 months ago

In this livestream I break down the OpenClaw AI agent narrative from the operator’s perspective: what it actually is, why it’s different from ChatGPT/Grok/Claude Code, and why “it’s just automation” misses the real shift. We cover the practical unlocks (local execution, persistent memory, computer-use + browser control, reusable skills/plugins) and why this design pattern can replace a lot of expensive SaaS workflows over time. Then I zoom out to the crypto angle: why the market will mint endless OpenClaw “slop” coins, how I think about separating infra from hype, and the two names I’m watching (BNKR + CLAWD). 00:00 Why the OpenClaw AI agent narrative is bigger than you think 00:39 Two-part video: OpenClaw productivity first, crypto narrative second 01:30 What OpenClaw is (an AI agent framework, not a chatbot) 01:44 Why ChatGPT, Grok, and Claude Code are still useful but incomplete 03:19 OpenClaw vs n8n and Zapier for automation 05:03 Why Zapier pricing breaks real businesses 06:07 Why running locally matters (any app, any chat platform) 07:56 Persistent memory: how agents learn your style over time 09:55 Computer-use agents: browser control and no-API workflows 11:27 Skills and plugins: reusable workflows that self-improve 13:52 The simple setup and why model choice is flexible 16:05 Cross-platform ops: Telegram, Slack, Discord, and email in one brain 20:52 Why AI SaaS tools get replaced by agent-built workflows 25:37 What this is not: no AGI, no “sentient” coin story 29:55 How to approach the OpenClaw coin wave (infra over slop) 32:43 BNKR and CLAWD: my two picks for exposure to the narrative

In this livestream I break down the OpenClaw AI agent narrative from the operator’s perspective: what it actually is, why it’s different from ChatGPT/Grok/Claude Code, and why “it’s just automation” misses the real shift. We cover the practical unlocks (local execution, persistent memory, computer-use + browser control, reusable skills/plugins) and why this design pattern can replace a lot of expensive SaaS workflows over time. Then I zoom out to the crypto angle: why the market will mint endless OpenClaw “slop” coins, how I think about separating infra from hype, and the two names I’m watching (BNKR + CLAWD). 00:00 Why the OpenClaw AI agent narrative is bigger than you think 00:39 Two-part video: OpenClaw productivity first, crypto narrative second 01:30 What OpenClaw is (an AI agent framework, not a chatbot) 01:44 Why ChatGPT, Grok, and Claude Code are still useful but incomplete 03:19 OpenClaw vs n8n and Zapier for automation 05:03 Why Zapier pricing breaks real businesses 06:07 Why running locally matters (any app, any chat platform) 07:56 Persistent memory: how agents learn your style over time 09:55 Computer-use agents: browser control and no-API workflows 11:27 Skills and plugins: reusable workflows that self-improve 13:52 The simple setup and why model choice is flexible 16:05 Cross-platform ops: Telegram, Slack, Discord, and email in one brain 20:52 Why AI SaaS tools get replaced by agent-built workflows 25:37 What this is not: no AGI, no “sentient” coin story 29:55 How to approach the OpenClaw coin wave (infra over slop) 32:43 BNKR and CLAWD: my two picks for exposure to the narrative

VirtualBacon

21,557 views • 5 months ago

HERMES AGENT VS OPENCLAW. a local ai onboarding flow test. a 3.9gb bonsai served on localhost, both agents upstream and latest, i point each one at the endpoint and watch which one even finds it. > hermes opens a provider menu, thirty plus options, local servers sitting right there next to the cloud ones, i hand it 127.0.0.1:8899, it verifies the endpoint, one model visible, auto-detects the model by name, bonsai-27b-q1_0, reads the context length straight off the server, saves it, and starts reasoning and firing real tool calls on my local model. no key. no friction. > openclaw has no menu. it goes hunting for a codex login, an openai key, finds none because there are none, prints no models available three times, defaults to openai/gpt-5.5, a cloud model it cannot reach, and dead ends on run auth login --provider openai. read that back. it asked me for an openai key. to run a model already running on my own machine. it never once looked at localhost. to be fair, openclaw can run local if you hand wire endpoint yourself. what it will not do is find the model already sitting on your box. hermes agent found it in one line. now the part i owe you. the auto-detect that just won, the model name read, the .gguf strip, the context length probe off the server, that is my code, it is in hermes agent main right now, authorship preserved, #2051 and #4218. the wizard fix that stops an agent from silently routing you to someone else's creds, the exact trap openclaw still falls into, mine too, #4210. i contribute to hermes agent, i told you that going in. one agent is built to talk to whatever you are running, the other is built to talk to a cloud api, so one found my model and ran it and the other asked me to log into openai. onboarding flow of both, mapped, below.

HERMES AGENT VS OPENCLAW. a local ai onboarding flow test. a 3.9gb bonsai served on localhost, both agents upstream and latest, i point each one at the endpoint and watch which one even finds it. > hermes opens a provider menu, thirty plus options, local servers sitting right there next to the cloud ones, i hand it 127.0.0.1:8899, it verifies the endpoint, one model visible, auto-detects the model by name, bonsai-27b-q1_0, reads the context length straight off the server, saves it, and starts reasoning and firing real tool calls on my local model. no key. no friction. > openclaw has no menu. it goes hunting for a codex login, an openai key, finds none because there are none, prints no models available three times, defaults to openai/gpt-5.5, a cloud model it cannot reach, and dead ends on run auth login --provider openai. read that back. it asked me for an openai key. to run a model already running on my own machine. it never once looked at localhost. to be fair, openclaw can run local if you hand wire endpoint yourself. what it will not do is find the model already sitting on your box. hermes agent found it in one line. now the part i owe you. the auto-detect that just won, the model name read, the .gguf strip, the context length probe off the server, that is my code, it is in hermes agent main right now, authorship preserved, #2051 and #4218. the wizard fix that stops an agent from silently routing you to someone else's creds, the exact trap openclaw still falls into, mine too, #4210. i contribute to hermes agent, i told you that going in. one agent is built to talk to whatever you are running, the other is built to talk to a cloud api, so one found my model and ran it and the other asked me to log into openai. onboarding flow of both, mapped, below.

Sudo su

23,816 views • 13 days ago

HERMES AGENT BUILT A SKILL THAT AUTOMATED AN 8-HOUR WORKFLOW INTO 80 MINUTES. THE AGENT BUILT IT FROM ITS OWN COMPLETED SESSIONS. one user ran their customer pipeline through Hermes repeatedly: meetings → recordings → product requirements → technical specs → development → delivery. after enough runs, Hermes identified the pattern and created a skill that handles the full pipeline: → takes meeting recordings → extracts requirements automatically → runs research on the extracted data → generates product requirement documents → generates technical specifications → delegates the build to a coding agent → sends a link to the finished product what Hermes skills contain: → when to use (trigger conditions) → step-by-step procedure → known pitfalls to avoid → verification steps (how to confirm it worked) stored as markdown in ~/.hermes/skills/. readable, editable, permanent. agents with 20+ self-created skills finish similar future tasks ~40% faster. month 1 you explain everything. month 3 the agent runs your core workflows from the skills it built along the way. full breakdown of Hermes as a Personal AI OS in the article 👇

HERMES AGENT BUILT A SKILL THAT AUTOMATED AN 8-HOUR WORKFLOW INTO 80 MINUTES. THE AGENT BUILT IT FROM ITS OWN COMPLETED SESSIONS. one user ran their customer pipeline through Hermes repeatedly: meetings → recordings → product requirements → technical specs → development → delivery. after enough runs, Hermes identified the pattern and created a skill that handles the full pipeline: → takes meeting recordings → extracts requirements automatically → runs research on the extracted data → generates product requirement documents → generates technical specifications → delegates the build to a coding agent → sends a link to the finished product what Hermes skills contain: → when to use (trigger conditions) → step-by-step procedure → known pitfalls to avoid → verification steps (how to confirm it worked) stored as markdown in ~/.hermes/skills/. readable, editable, permanent. agents with 20+ self-created skills finish similar future tasks ~40% faster. month 1 you explain everything. month 3 the agent runs your core workflows from the skills it built along the way. full breakdown of Hermes as a Personal AI OS in the article 👇

YanXbt

29,819 views • 1 month ago

HERMES AGENT IS NOW IN THE CLOUD. NO VPS. NO TERMINAL. NO SETUP. PICK A MODEL. PICK A SERVER SIZE. AGENT IS LIVE IN 60 SECONDS. Nous Portal just launched hosted Hermes Agent. two clicks. one minute. done. Nous Research WHAT THIS MEANS: before today: install Hermes on a VPS or your laptop. configure providers. set up gateway. manage updates. run hermes setup. edit config.yaml. great for power users. friction for everyone else. now: go to pick a model. pick a server size. your agent is live and reachable in 60 seconds. no terminal. no SSH. no Docker. same Hermes. same features. same tools. someone else handles the infrastructure. FOR TEAMS: this is where it gets interesting. spin up agents for everyone at your org. each team member gets their own Hermes instance. granular access controls per user. unified billing through Nous Portal. your team gets Hermes on day one. no DevOps needed. no VPS per person. one admin dashboard. one bill. WHAT'S INCLUDED: → 300+ models via Nous Portal (Claude, GPT, Gemini, DeepSeek, Grok, MiniMax, and more) → Tool Gateway (web search, image generation, TTS, browser automation) → all messaging platforms (Telegram, Discord, Slack, WhatsApp, Signal) → full feature set (profiles, cron, kanban, skills, memory, sub-agents, MoA, /goal, /learn, /journey) → automatic updates ONE PORTAL. FOUR TIERS: Free: $0/month. pay-as-you-go credits from $10. Plus: $20/month. $22 in monthly usage credit. Super: $100/month. $110 in monthly credit. Ultra: $200/month. $220 in monthly credit. highest rate limits. every paid tier includes Tool Gateway. one OAuth. one subscription. no extra API keys. SELF-HOSTED IS NOT GOING ANYWHERE: Hermes is MIT licensed. open source. free forever. you can still run it on your laptop, VPS, or GPU cluster. nothing changes for self-hosted users. the cloud version is for people who want the agent running without managing the machine. pick your path: → self-hosted: full control. you manage everything. → cloud: zero ops. Nous manages infrastructure. → hybrid: self-host your main agent, cloud for team members. HOW TO START: cloud: self-hosted: hermes setup --portal both connect to the same Nous Portal. same models. same tools. same billing. learn how to replace your entire team with 8 hermes agents 👇

HERMES AGENT IS NOW IN THE CLOUD. NO VPS. NO TERMINAL. NO SETUP. PICK A MODEL. PICK A SERVER SIZE. AGENT IS LIVE IN 60 SECONDS. Nous Portal just launched hosted Hermes Agent. two clicks. one minute. done. Nous Research WHAT THIS MEANS: before today: install Hermes on a VPS or your laptop. configure providers. set up gateway. manage updates. run hermes setup. edit config.yaml. great for power users. friction for everyone else. now: go to pick a model. pick a server size. your agent is live and reachable in 60 seconds. no terminal. no SSH. no Docker. same Hermes. same features. same tools. someone else handles the infrastructure. FOR TEAMS: this is where it gets interesting. spin up agents for everyone at your org. each team member gets their own Hermes instance. granular access controls per user. unified billing through Nous Portal. your team gets Hermes on day one. no DevOps needed. no VPS per person. one admin dashboard. one bill. WHAT'S INCLUDED: → 300+ models via Nous Portal (Claude, GPT, Gemini, DeepSeek, Grok, MiniMax, and more) → Tool Gateway (web search, image generation, TTS, browser automation) → all messaging platforms (Telegram, Discord, Slack, WhatsApp, Signal) → full feature set (profiles, cron, kanban, skills, memory, sub-agents, MoA, /goal, /learn, /journey) → automatic updates ONE PORTAL. FOUR TIERS: Free: $0/month. pay-as-you-go credits from $10. Plus: $20/month. $22 in monthly usage credit. Super: $100/month. $110 in monthly credit. Ultra: $200/month. $220 in monthly credit. highest rate limits. every paid tier includes Tool Gateway. one OAuth. one subscription. no extra API keys. SELF-HOSTED IS NOT GOING ANYWHERE: Hermes is MIT licensed. open source. free forever. you can still run it on your laptop, VPS, or GPU cluster. nothing changes for self-hosted users. the cloud version is for people who want the agent running without managing the machine. pick your path: → self-hosted: full control. you manage everything. → cloud: zero ops. Nous manages infrastructure. → hybrid: self-host your main agent, cloud for team members. HOW TO START: cloud: self-hosted: hermes setup --portal both connect to the same Nous Portal. same models. same tools. same billing. learn how to replace your entire team with 8 hermes agents 👇

YanXbt

45,446 views • 23 days ago

FREE GPT 5.5 API from a Chinese provider. I already farmed $520 in credits. Plug it directly into Hermes Agent or OpenClaw. > This is a Chinese proxy for OpenAI's official API - same models, same token pricing, same caching. GPT 5.5, Codex, the full stack. I found a way to farm credits through a Telegram bot and it still works. Here's the exact flow: → Go to on Telegram → subscribe to the channel → Join and complete the captcha (use the app, tap the first button) → Go back to the bot, grab your referral link → Invite 1 friend → you get an invite code → Register at with the invite code → Farm points: daily spins (+1-10 pts), each referral (+1/4 pt) → Redeem points for credits: $10 API = 1pt, $100 API = 5pts, $1000 API = 50pts → Create API key → select Codex/another GPT model → plug into Hermes Agent or OpenClaw Ready-made configs for Claude Code and OpenCode are in the "Use Key" section under API Keys. > I have $520 balance. Prices match official OpenAI rates. Caching works. Everything tested. // You can also use these points to buy a ChatGPT account or a subscription for your account. But they get blocked pretty quickly. USE THE API. // Nobody knows how long this lasts. Coupons have been restocked twice already. Move now.

FREE GPT 5.5 API from a Chinese provider. I already farmed $520 in credits. Plug it directly into Hermes Agent or OpenClaw. > This is a Chinese proxy for OpenAI's official API - same models, same token pricing, same caching. GPT 5.5, Codex, the full stack. I found a way to farm credits through a Telegram bot and it still works. Here's the exact flow: → Go to on Telegram → subscribe to the channel → Join and complete the captcha (use the app, tap the first button) → Go back to the bot, grab your referral link → Invite 1 friend → you get an invite code → Register at with the invite code → Farm points: daily spins (+1-10 pts), each referral (+1/4 pt) → Redeem points for credits: $10 API = 1pt, $100 API = 5pts, $1000 API = 50pts → Create API key → select Codex/another GPT model → plug into Hermes Agent or OpenClaw Ready-made configs for Claude Code and OpenCode are in the "Use Key" section under API Keys. > I have $520 balance. Prices match official OpenAI rates. Caching works. Everything tested. // You can also use these points to buy a ChatGPT account or a subscription for your account. But they get blocked pretty quickly. USE THE API. // Nobody knows how long this lasts. Coupons have been restocked twice already. Move now.

Atenov int.

65,251 views • 2 months ago