MOTIVATION | WISDOM | SELF CARE | Follow for daily quotes ⚔️
Joined September 2022
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the humanizer one 👀 does it actually work tho
You're still using Claude without plugins.
Here are the top 30 on GitHub (by job):
Each one comes with its install line (plus a check it worked). Free guide
→ charliehills.ai/skills/guide…
1. Code like a senior
- Karpathy Skills (222k): one CLAUDE.md for better code
- Matt Pocock Skills (301k): questions your plan first
- ECC (287k): skills, memory and security in one
- Agent Skills (109k): senior engineering habits
- Superpowers (304k): plans, tests, checks
- Ponytail (174k): less code
2. Research and understanding
- Career Ops (77k): matches jobs to your CV
- REA (371k): shows how any app really works
- Graphify (133k): turns docs and code into a map
- Understand Anything (87k): maps any codebase
- Last 30 Days (65k): researches any topic for you
- Agent Reach (101k): reads X, Reddit and YouTube
3. Big projects, fewer tokens
- Headroom (77k): shrinks files before Claude reads
- BMAD Method (54k): an agile team of AI agents
- Claude-Mem (102k): remembers past sessions
- gstack (137k): a CEO, designer and QA team
- Caveman (114k): fewer tokens
- GSD (64k): big builds, no drift
4. Design and visuals
- Taste (101k): art direction
- Archify (88k): turns any idea into a diagram
- Diagram Design (60k): clean editorial diagrams
- Impeccable (85k): a design language for Claude
- UI UX Pro Max (139k): a designer's eye for apps
- PPT Master (67k): real, editable PowerPoint decks
5. Writing and video
- Marketing Skills (56k): copywriting, SEO and CRO
- Skills by Anthropic (183k): Word, Excel and PDF
- OpenMontage (71k): a whole video studio
- Humanizer (59k): removes AI writing tells
- HyperFrames (70k): HTML to video
- I Have ADHD (58k): answer first
But don't install all 30. Pick the row that matches your week, and add one plugin from it.
Repost ♻️ to help someone in your network.
Life Mastery retweeted
BREAKING: I turned my Grok Bot into a Chief of Staff that runs three other Bots in one group chat, gives every step of a job its own owner, and won’t let anything reach me until a Reviewer Bot has checked it.
I wrote 3 prompts that build the whole team, run any job you hand it and train the Reviewer on your standards the way you’d train a new hire.
They also get around the 10-minute approval timeout that turns a night of Bot work into a pile of Expired cards by morning.
Comment “BOSS” and I’ll DM you all 3 prompts.
(must be following so I can DM)
Life Mastery retweeted
If you run a local biz, there is a huge opportunity in becoming the company multiple AI engines independently decide to recommend.
Almost nobody is doing it consistently...
But when four major AI engines *DID* agree on the same top local business in a new study, something interesting happened:
Among those unanimous cases, the winning business's own website appeared among the cited pages 91% of the time.
Let's go through it.
By the way, if you want to see whether your business is appearing across Google AI, ChatGPT, Claude, Perplexity, Grok and broader AI search, start here. It's free:
seo-stuff.com/free-audit
Yext analyzed 491,972 local query-market cases across four AI engines: Gemini, OpenAI, Perplexity and Anthropic.
The prompts were unbranded local searches.
Then Yext looked at which business each AI engine ranked first.
All four engines chose the SAME top business in just 4% of cases.
In 48% of cases, all four chose FOUR DIFFERENT businesses for the #1 spot.
So same type of question, same market, four major AI systems - and almost half the time every one picked a different winner.
That tells you how fragmented local AI Search still is.
Being the top choice in one AI system does not mean the others agree - at all.
But among the rare cases where all four DID choose the same #1 business, that winner's own website appeared among the cited pages 91% of the time.
Think about what an AI system needs to understand before recommending a local business.
Where are you located?
What do you actually do?
Which services do you offer?
Which areas do you serve?
What do things cost?
What questions do customers ask?
What proof exists that the business is legitimate?
Imagine two plumbing companies.
Company A has a homepage, contact page and one generic Plumbing Services page.
Company B has dedicated pages for drain cleaning, water heater repair, leak detection, sewer repair, emergency plumbing, service areas, pricing, FAQs and customer examples.
If an AI system is trying to answer:
"Who should I call for a leaking water heater in Pasadena?"
Company B gives it substantially more relevant first-party information to evaluate.
And Yext found some interesting associations around exactly that.
Businesses with location pages were associated with a 2.9x higher likelihood of being named by AI in Yext's matched-profile analysis.
A cover photo: 2.8x.
A clear business description: 2.3x.
A claimed profile: 2.3x.
Recent posts: 1.8x.
10+ profile attributes: 1.5x.
The easier a business is to understand, the easier it may be for AI systems to evaluate it.
Yext also found that each AI engine was starting with a surprisingly different pool of businesses.
Across the four AI lists, the average query produced 23 different businesses.
Each individual engine returned around seven businesses on average.
So local AI Search has at least two separate problems: First, get considered and then become the business that actually wins.
If an AI system never identifies your company as a candidate, your review count is not going to save you.
If it cannot connect your location with the service being requested, you may never make the shortlist.
This is why a clear website matters.
But then comes the second question: why should the AI choose YOU over everybody else?
That is where the broader digital footprint becomes important.
Yext found that the four engines relied on very different source mixes.
Gemini leaned most heavily on first-party websites.
About 41.9% of its cited sources came from first-party sites.
Anthropic was around 33.1%.
Perplexity around 31.6%.
OpenAI around 26.9%.
But OpenAI relied much more heavily on directories and aggregators, which made up roughly 40.9% of the sources it cited.
Anthropic was far more reliant on review platforms than the others.
Reviews accounted for around 20.5% of Anthropic's citation mix whereas Gemini was below 2%.
That is a huge difference and it explains why there is no single AI Search hack.
A broader footprint gives different AI engines different ways to encounter and verify the same business - which brings us back to the 91% number.
When all four engines agreed on the same top business, the winner's own website appeared among the citations 91% of the time.
And those unanimous winners tended to have much deeper profiles and broader web presence than the typical businesses in Yext's matched dataset.
AI systems appear to be evaluating a much wider information environment.
That is where SEO Stuff comes in:
seo-stuff.com
The content side helps your website become a stronger first-party source.
Instead of five generic pages, build useful coverage around services, locations, problems, costs, comparisons, use cases and the questions customers ask before hiring you.
That is what the Premium Content Bundle is designed to build:
seo-stuff.com/premium-conten…
Then there is the authority side.
Your website tells AI systems what YOU say about the company.
Third-party sources give them additional evidence.
That is why the done-for-you SEO Stuff package combines AI-search-optimized content with contextual DR50+ authority placements:
seo-stuff.com/gold-plan-pack…
And if you want to see whether your business is already appearing across Google AI, ChatGPT, Claude, Perplexity, Grok and broader AI search, start here.
It's free:
seo-stuff.com/free-audit
With the new iPhone Duo coming out, there's a new opportunity opening up on Google + AI search for brands whose products, locations or services can be discovered visually.
Customers increasingly can just point their camera at it, circle it on their screen, upload a picture and ask Google to figure it out.
Now Google is literally showing businesses when that happens - yes, directly inside Google Search Console.
This is one of the more overlooked Search updates of 2026.
Let's go through it.
By the way, if you want to see whether your business is appearing across Google AI, ChatGPT, Claude, Perplexity and Grok, start here. It's free:
seo-stuff.com/free-audit
This past week Google introduced a new multimodal Search reporting filter inside Search Console.
It covers searches started with images across Google Lens, Circle to Search, image uploads to Google Search and Chrome's "Search this image" feature, and Google is surfacing this data in both its normal Search performance reporting and its newer Generative AI reporting.
Search is increasingly becoming something people can *do* with the world around them as opposed to something they first have to translate into a keyword.
Just think about traditional Search.
You see a pair of shoes you like.
First you need to figure out the brand, style, color and what words to type into Google.
Visual Search compresses that process.
Take a picture, circle the object, let Google identify it and then continue researching from there.
That creates an entirely different discovery opportunity.
Someone sees a couch in a hotel lobby, a pair of sneakers on the street, a plant in a backyard, a restaurant dish on Instagram, a handbag in a photo or a car part.
They may not know the product name, company, what words to use, etc - but that doesn't matter anymore.
The image itself can become the query.
And until now, businesses had very little first-party visibility into how much of this behavior was actually leading people to their websites.
Well, that just changed - and it is something SEO Stuff (seo-stuff.com) is helping businesses with daily.
Google says the new multimodal filter is designed to show how your content performs when people search using images.
If your site receives impressions or clicks from these searches, Search Console can now surface that performance.
That means businesses can start asking:
Which landing pages are receiving multimodal impressions and clicks?
Which product or category pages are benefiting?
Is visual discovery growing over time?
Which parts of our business SHOULD be visually discoverable but apparently aren't?
Ecommerce is an obvious opportunity, but it doesn't stop there.
Restaurants can be discovered through food.
Hotels through properties and rooms.
Travel companies through destinations and landmarks.
Home-service companies through appliances, fixtures, materials or damage.
Automotive companies through vehicles and parts.
The customer's inability to describe something is becoming less of a barrier to Search, and Search Console can now tell businesses when that kind of discovery is happening.
This is also where SEO becomes a little more interesting than simply putting a keyword in a title.
If a search begins with an IMAGE, Google needs to understand both the visual asset and the page surrounding it.
Google's own image SEO guidance gives businesses a pretty clear starting point.
Make images easy to discover.
Use standard image elements where possible.
Use high-quality, sharp images.
Give Google context around the image.
Use accurate alt text rather than stuffing keywords.
Use descriptive filenames where practical.
And make sure the landing page actually explains what somebody is looking at.
The page needs to explain what the product is, who it is for, its specifications, pricing, materials, use cases, variants and what somebody should know before buying it.
This is where visual Search starts intersecting with AI Search optimization.
And this is exactly what SEO Stuff builds around:
seo-stuff.com/gold-plan-pack…
You are giving Google and AI systems more information about where your products, services and expertise fit into actual customer decisions.
And if you want to see where your business stands across Google AI, ChatGPT, Claude, Perplexity, Grok and broader AI search, start here.
It's free:
seo-stuff.com/free-audit
Life Mastery retweeted
SpaceX just bought Cursor for $60B
> be Cursor
> four MIT students launch a side project back in 2022
> ship an AI coding tool devs fall in love with
> reach a $10B valuation
> figure copilots alone won't cut it
> push into building models
> require huge compute to keep pace with OpenAI, Anthropic & Google
> xAI, on the other hand, is falling behind in coding
> sees that closing the gap might take years
> cuts the line instead
> acquires Cursor for $60B
> Cursor lands the compute
> xAI lands the coding leader
> founders walk away as multi-billionaires
Interested in AI?
Follow @AiEvolutio58513 and never fall behind.
I track ChatGPT, Claude, and every tool quietly changing how we work and create, then hand you the tested signals.
Life Mastery retweeted
follow this account to get useful Claude tips:
Cleopatra with a Glock is WILD!! 🔥
Cleopatra woke up, grabbed her Glock and flew her diamond Tesla to the pyramids.
Made 100% with AI in @FishCreativeHQ
Prompts and workflow below 👇
Life Mastery retweeted
There are seven main steps for your company to go from tool adoption to agentic org.
Most companies sit on step one, shopping for step seven technology. They need step four discipline.
Step one: tool adoption. AI tools exist across the org, humans run each one. Developer closes the lid, automations die. Somebody goes on vacation, the workflow goes with them.
Step two: context layer. Knowledge graphs per department, each behind its own API gateway. Sales queries engineering through an API. Separated domains keep agents from hallucinating across departmental boundaries.
Step three: harness engineering. Build evaluation criteria, routing logic, and quality gates before you pick a model. The LLM comes in last. Your harness is your IP and your capex. The model underneath is a commodity you swap when something better ships. If changing the LLM breaks your system, you built a dependency, not a platform.
Step four: go headless. Host every automation outside a laptop. It fires on schedule, on conditions, without a human logging in at 9 AM. Companies stall here because nobody forces the migration from “script on my desktop” to “service that runs on its own.”
Step five: governance. RBAC on every knowledge structure from day one. TTL on every agent. Dead agents are tech debt with active API keys. Past 100 tools, you need lifecycle management. Retire anything that hasn’t run in 90 days. Deprecate anything whose eval scores drop below threshold.
Step six: agent-to-agent. Stitch headless instances together within a value chain. Agent A finishes, hands off to Agent B. An LLM sits between them as a quality gate, judging every handoff before it passes through.
Step seven: step functions. Orchestrated, semi or fully automated workflows. Agents handle volume. Humans handle exceptions. The org runs on agent output.
We walked a VP of Engineering through all seven.
Told him: “You’re on step one. But over a hundred tools means step four is closer than you think.”
Life Mastery retweeted
This guy used Ray-Ban Meta Smart Glasses, AI, and a MacBook to cheat at chess game.
Life Mastery retweeted
A woman's sexual desire goes through six phases in her life, depending on her age.
(You won't believe at what age her desire peaks.)
The first phase is:
Life Mastery retweeted
This is what happens to a woman's body if she has sex every single day.
1. Her immune system gets stronger
Life Mastery retweeted
A sex therapist said:
"The difference between boring sex and unforgettable sex is usually psychological, not physical."
He explained the six emotional triggers that any man can use to make a woman sexually addicted to him…..
1. Safety Without Boredom.
Life Mastery retweeted
Every company spending $100 billion on AI data centers is betting against this one sentence from Satya Nadella:
"We are one sort of innovation away from the entire regime changing."
He's watched the rules change four times already:
1. Pre-training scale
2. Post-training
3. Reasoning
4. RL
Each shift made the last advantage worth less.
The next one, he says, could be "a new model architecture that could even be more efficient in its performance."
If that lands, the biggest cluster isn't the moat. The best idea is.
Interested in AI?
Follow @AiEvolutio58513 and never fall behind.
I track ChatGPT, Claude, and every tool quietly changing how we work and create, then hand you the tested signals.
Life Mastery retweeted
Mercor CEO Brendan Foody explains why he thinks the AI labs need his company:
"Their customers don't want to give them data to automate large portions of their value chains."
Foody, Adarsh Hiremath and Surya Midha were debate teammates at a Bay Area high school. They dropped out of college, and in October 2025 a $10 billion valuation made the three 22-year-olds the youngest self-made billionaires on record, per Forbes. Their customers include OpenAI, Anthropic and Meta, and they pay experts up to $200 an hour to train the models.
Foody laid it out on stage at TechCrunch Disrupt:
"There is an argument that Goldman Sachs doesn't love the idea of having models that are able to automate their value chain."
"It definitely shifts the competitive dynamics, and that's part of the reason that the labs need us... They need to hire contractors who previously worked at those companies, understand those workflows, and are willing to train models to automate them."
"There are companies that are embracing it and realize that the world is going to change very quickly. There's definitely another category of companies that are fearful, and worry about being dis-intermediated, and having their customers go directly to the AI labs or application layer platforms. My hunch is that the former category is going to turn out to be on the right side of history."
"Over time, ChatGPT will be better than the best consulting firm, better than the best investment bank, and better than the best law firm. That's going to transform the economy radically, which will be a broadly positive force that helps to create abundance for everyone."
Interested in the latest with ai/tech and business?
Follow @GeniusGTX and never fall behind.
I track ChatGPT, Claude, and how every new agent is changing how we work and think, then hand you the pure signals.
Life Mastery retweeted
You sit 5+ hours a day.
Your lower back is aching by 3pm.
5 exercises Apex uses with desk-bound executives and surgeons to reverse desk damage in under 10 minutes:
= Thread =
Life Mastery retweeted
'I've been working out for ages but can't see any results'
It's not because you're lazy.
It's because nobody taught you how to actually train.
After 9 years as a professional athlete. Here's what actually works:
🧵
Life Mastery retweeted
'How many sets do I need to build muscle?'
Your muscles can't count.
They have zero idea if you did 8 sets or 28.
Here's what they DO know: how much tension you placed on them.
Here's how to optimize mechanical tension for muscle growth:
= Thread =
Life Mastery retweeted
Satya Nadella explains why every company may end up needing its own AI model: the model turns into the company's new database.
"To me, a model is like the database market."
"A firm should be able to take the tacit knowledge it has and embed it inside weights in a model that they control."
"When somebody asks me how many models should there be, I'll say as many models as firms in the world."
The contrarian bit: the value might not live in one universal frontier model at all. It may live in each firm turning its private know-how into a model it controls.
Interested in AI?
Follow @FeliciaRios_ and never fall behind.
I track ChatGPT, Claude, and how every new agent is changing how we work and think, then hand you the pure signals.