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Ponytail: Graphify: OmniRoute: Your Claude limit doesn't run out from hard work. It runs out from waste. Extra code nobody asked for. Files read again and again. Then a dead stop mid-build. Ponytail trims the code. Graphify gives Claude a map. OmniRoute keeps you moving when limits hit. Like... show more

jackroberts____

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108,600 次观看 • 4 天前 •via TikTok

科学技术 #claudecode #ponytail #graphify #omniroute #tokens

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Comment "Graph" for Full Graphify Tutorial Video and 40+ Free Claude Code Guides/Templates Claude Code is expensive when it has to reread everything. Graphify fixes that. It turns your raw files into a knowledge graph, then maps how each file connects. Add Graphify Query to your search and Claude gets context without burning tokens. Less guessing. Better answers. Cheaper searches. #AIAgents #ClaudeCode #Graphify #KnowledgeGraph #AIWorkflow

Comment "Graph" for Full Graphify Tutorial Video and 40+ Free Claude Code Guides/Templates Claude Code is expensive when it has to reread everything. Graphify fixes that. It turns your raw files into a knowledge graph, then maps how each file connects. Add Graphify Query to your search and Claude gets context without burning tokens. Less guessing. Better answers. Cheaper searches. #AIAgents #ClaudeCode #Graphify #KnowledgeGraph #AIWorkflow

Charles J Dove

32,500 次观看 • 6 个月前

A 26-YEAR-OLD AI ENGINEER WHOSE BIRMINGHAM THESIS OUTPERFORMED GOOGLE SCHOLAR BY 50% JUST SHIPPED GRAPHIFY: ONE COMMAND TURNS ANY FOLDER INTO A CLAUDE CODE SECOND BRAIN Safi Shamsi built Graphify 48 hours after Karpathy posted his LLM wiki idea. It turns any folder, codebase, docs, PDFs, into a knowledge graph Claude reads instead of grepping. Up to 43x fewer tokens per query. The trick almost nobody is using yet: one flag exports the entire graph as a fully-linked Obsidian vault. Repo: /safishamsi/graphify Setup, end to end: 1. Install: uv tool install graphifyy (or pipx install graphifyy). Verify with graphify --version. 2. Install the skill in Claude Code: graphify claude install. This wires Graphify into Claude Code so you can call it as a skill. 3. Open the folder you want mapped in Claude Code. In the terminal: graphify . It extracts every concept and builds the graph in graphify-out/. 4. Export to Obsidian: graphify . --obsidian. Writes one note per concept, every relationship as a wikilink, every node linked back to its source. 5. Open the new vault in Obsidian (Manage vaults → Open folder as a vault), or drag it as a subfolder into your existing one. That's it. Your Claude Code instance now has a navigable map of the codebase that loads instantly instead of re-reading files every session. Full step-by-step build of the Claude + Obsidian second brain in the article below. Bookmark this

A 26-YEAR-OLD AI ENGINEER WHOSE BIRMINGHAM THESIS OUTPERFORMED GOOGLE SCHOLAR BY 50% JUST SHIPPED GRAPHIFY: ONE COMMAND TURNS ANY FOLDER INTO A CLAUDE CODE SECOND BRAIN Safi Shamsi built Graphify 48 hours after Karpathy posted his LLM wiki idea. It turns any folder, codebase, docs, PDFs, into a knowledge graph Claude reads instead of grepping. Up to 43x fewer tokens per query. The trick almost nobody is using yet: one flag exports the entire graph as a fully-linked Obsidian vault. Repo: /safishamsi/graphify Setup, end to end: 1. Install: uv tool install graphifyy (or pipx install graphifyy). Verify with graphify --version. 2. Install the skill in Claude Code: graphify claude install. This wires Graphify into Claude Code so you can call it as a skill. 3. Open the folder you want mapped in Claude Code. In the terminal: graphify . It extracts every concept and builds the graph in graphify-out/. 4. Export to Obsidian: graphify . --obsidian. Writes one note per concept, every relationship as a wikilink, every node linked back to its source. 5. Open the new vault in Obsidian (Manage vaults → Open folder as a vault), or drag it as a subfolder into your existing one. That's it. Your Claude Code instance now has a navigable map of the codebase that loads instantly instead of re-reading files every session. Full step-by-step build of the Claude + Obsidian second brain in the article below. Bookmark this

Yarchi

141,580 次观看 • 4 个月前

Click the link in my bio to get the full guide to run Claude Code with almost unlimited usage. You can now run Claude Code for completely free, with almost unlimited usage. Someone on GitHub just built an AI tool that gives you over 7 billion free AI tokens every single month. And that includes models from ChatGPT, Gemini, GLM, Kimi, Grok, Mistral, Qwen, and much more. It's called FreeLLMAPI. It links your Claude Code to over 600 free AI models, all through one single setup. So the moment your Claude limit runs out, it automatically switches you to the next best model. Your session just keeps going without any interruption. Plus it leaves behind a note as it switches. So the new model already has your whole context, and you don't have to re-explain anything. Think of it like handing off a project to a coworker with a full briefing already attached. Share this with a friend who always runs out of AI tokens and follow @taki.gpt for the best AI content! #claudecode #freellmapi #omniroute #githubrepo #claudeai

Click the link in my bio to get the full guide to run Claude Code with almost unlimited usage. You can now run Claude Code for completely free, with almost unlimited usage. Someone on GitHub just built an AI tool that gives you over 7 billion free AI tokens every single month. And that includes models from ChatGPT, Gemini, GLM, Kimi, Grok, Mistral, Qwen, and much more. It's called FreeLLMAPI. It links your Claude Code to over 600 free AI models, all through one single setup. So the moment your Claude limit runs out, it automatically switches you to the next best model. Your session just keeps going without any interruption. Plus it leaves behind a note as it switches. So the new model already has your whole context, and you don't have to re-explain anything. Think of it like handing off a project to a coworker with a full briefing already attached. Share this with a friend who always runs out of AI tokens and follow @taki.gpt for the best AI content! #claudecode #freellmapi #omniroute #githubrepo #claudeai

Taki Wong | AI For Business

59,000 次观看 • 12 天前

$THIS MIGHT BE THE #1 OPEN-SOURCE REPO FOR CLAUDE CODE RIGHT NOW. IT GIVES CLAUDE A MEMORY AND SLASHES YOUR TOKEN COST ON EVERY QUESTION The repo is safishamsi/graphify, a free open-source skill that turns any codebase into a knowledge graph Claude Code can read instantly. Instead of grepping through your files every session, Claude gets a map of how everything connects The problem it fixes: Every time you ask Claude Code about a big repo, it does the same thing, greps through dozens of files like a brute-force Ctrl+F, blows through your context window, and sometimes still misses the answer hiding in a file nobody searched. Claude Code has no memory of how your project is structured. Every session starts from zero What it does: It maps your entire codebase into a knowledge graph, capturing not just which files exist, but which functions depend on which, which modules are central, and which files cluster around the same concern. Claude queries the map instead of scanning files How it works, three passes: 1. Code structure, free and local. Tree-sitter parses your files and pulls out classes, functions, imports and call graphs. No LLM, no tokens, just your actual code mapped deterministically 2. Audio and video, if you have them. Transcribed locally and folded into the graph 3. Docs, papers, images. Here an LLM does semantic analysis, figuring out what each document means and where it fits. Only the meaning gets sent up, never your raw source It saves you money: Normally a question about a big repo makes Claude spawn explore agents that scan file after file, eating your context window and your token budget before you get an answer. With the graph already built, Claude queries the map instead of re-reading the codebase every time. Same answer, a fraction of the tokens. The graph only gets built once, then a hook rebuilds it after each commit for free, so you never pay that scanning cost again. The bigger the repo, the bigger the gap The best parts: it's a skill, so once installed Claude knows when to use it without you memorizing commands. It works on non-code folders too, point it at docs or notes and it can spin up an Obsidian vault How to add it to your Claude: 1. Install Claude Code if you haven't: npm install -g Paul Jankura-ai/claude-code 2. Add the skill: claude skill add safishamsi/graphify 3. Open your project folder and run /graphify . to build the graph 4. Optional, make it automatic: graphify hook install so the graph rebuilds after every commit That's it. Ask Claude about your repo and it reads the map instead of burning tokens on a file hunt Bookmark this$

THIS MIGHT BE THE #1 OPEN-SOURCE REPO FOR CLAUDE CODE RIGHT NOW. IT GIVES CLAUDE A MEMORY AND SLASHES YOUR TOKEN COST ON EVERY QUESTION The repo is safishamsi/graphify, a free open-source skill that turns any codebase into a knowledge graph Claude Code can read instantly. Instead of grepping through your files every session, Claude gets a map of how everything connects The problem it fixes: Every time you ask Claude Code about a big repo, it does the same thing, greps through dozens of files like a brute-force Ctrl+F, blows through your context window, and sometimes still misses the answer hiding in a file nobody searched. Claude Code has no memory of how your project is structured. Every session starts from zero What it does: It maps your entire codebase into a knowledge graph, capturing not just which files exist, but which functions depend on which, which modules are central, and which files cluster around the same concern. Claude queries the map instead of scanning files How it works, three passes: 1. Code structure, free and local. Tree-sitter parses your files and pulls out classes, functions, imports and call graphs. No LLM, no tokens, just your actual code mapped deterministically 2. Audio and video, if you have them. Transcribed locally and folded into the graph 3. Docs, papers, images. Here an LLM does semantic analysis, figuring out what each document means and where it fits. Only the meaning gets sent up, never your raw source It saves you money: Normally a question about a big repo makes Claude spawn explore agents that scan file after file, eating your context window and your token budget before you get an answer. With the graph already built, Claude queries the map instead of re-reading the codebase every time. Same answer, a fraction of the tokens. The graph only gets built once, then a hook rebuilds it after each commit for free, so you never pay that scanning cost again. The bigger the repo, the bigger the gap The best parts: it's a skill, so once installed Claude knows when to use it without you memorizing commands. It works on non-code folders too, point it at docs or notes and it can spin up an Obsidian vault How to add it to your Claude: 1. Install Claude Code if you haven't: npm install -g Paul Jankura-ai/claude-code 2. Add the skill: claude skill add safishamsi/graphify 3. Open your project folder and run /graphify . to build the graph 4. Optional, make it automatic: graphify hook install so the graph rebuilds after every commit That's it. Ask Claude about your repo and it reads the map instead of burning tokens on a file hunt Bookmark this

Yarchi

56,568 次观看 • 5 个月前

I can't f*cking believe people still use Claude Code like a chat bot. the ones getting real work out of it gave it a folder, tools and a map of everything it knows. that map is graphify. you point it at a folder and it builds a knowledge graph of everything inside. code, docs, PDFs, images, even video. then your agent searches the graph instead of opening files one by one. 134k stars on GitHub. backed by Y Combinator. and most people still haven't tried it. what makes it different: -> the code part runs fully on your machine. nothing gets uploaded -> no vector database, no embeddings. it's a real graph your agent walks through -> every connection is labeled: read straight from the source, or figured out by graphify. you always know which -> you get 3 files: a clickable map you open in your browser, a report with the key ideas and surprising links, and the full graph your agent queries anytime on a public memory benchmark it found the right answer in its top 10 results about half the time. mem0 managed under 5%. and building the graph cost 0 model credits. here's the full setup around it: > create a folder called AGENT, open Claude Code inside it, and add a CLAUDE.md with one line: "save every decision, person and project to memory/" > run uv tool install graphifyy, then graphify install, then type /graphify . and the whole folder becomes a map Claude can search in seconds > run npm install -g @googleworkspace/cli, then gws auth setup and gws auth login. Claude can now read your Gmail, Calendar and Drive > run claude mcp add playwright npx @playwright/mcp@latest. it gets its own browser for sites, forms and data > run npm i -g jev-guard, then jev-guard key "...", then jev-guard install claude. Jev checks every action before it runs. rm -rf gets blocked, emails with hidden instructions get flagged, about 4 cents per 1,000 checks > type /schedule and say "every morning at 7:30, send me what came in, what you drafted and what needs my yes" one folder. 15 minutes. and Claude finally knows where everything is. all the repos: -> -> -> -> bookmark this and try graphify first. it's the piece everyone skips.

I can't f*cking believe people still use Claude Code like a chat bot. the ones getting real work out of it gave it a folder, tools and a map of everything it knows. that map is graphify. you point it at a folder and it builds a knowledge graph of everything inside. code, docs, PDFs, images, even video. then your agent searches the graph instead of opening files one by one. 134k stars on GitHub. backed by Y Combinator. and most people still haven't tried it. what makes it different: -> the code part runs fully on your machine. nothing gets uploaded -> no vector database, no embeddings. it's a real graph your agent walks through -> every connection is labeled: read straight from the source, or figured out by graphify. you always know which -> you get 3 files: a clickable map you open in your browser, a report with the key ideas and surprising links, and the full graph your agent queries anytime on a public memory benchmark it found the right answer in its top 10 results about half the time. mem0 managed under 5%. and building the graph cost 0 model credits. here's the full setup around it: > create a folder called AGENT, open Claude Code inside it, and add a CLAUDE.md with one line: "save every decision, person and project to memory/" > run uv tool install graphifyy, then graphify install, then type /graphify . and the whole folder becomes a map Claude can search in seconds > run npm install -g @googleworkspace/cli, then gws auth setup and gws auth login. Claude can now read your Gmail, Calendar and Drive > run claude mcp add playwright npx @playwright/mcp@latest. it gets its own browser for sites, forms and data > run npm i -g jev-guard, then jev-guard key "...", then jev-guard install claude. Jev checks every action before it runs. rm -rf gets blocked, emails with hidden instructions get flagged, about 4 cents per 1,000 checks > type /schedule and say "every morning at 7:30, send me what came in, what you drafted and what needs my yes" one folder. 15 minutes. and Claude finally knows where everything is. all the repos: -> -> -> -> bookmark this and try graphify first. it's the piece everyone skips.

kiosa

31,514 次观看 • 17 天前

Ten months of private Claude Code tuning just went public, free on GitHub. It's called Everything Claude Code: 286 skills and 68 subagents. Basically a dev team in a folder. One skill scans your code for security holes. One keeps your memory clean. One learns from your past sessions. And it isn't locked to Claude Code: it runs on Cursor, Codex, Encode and Gemini too. Like inheriting a toolbox someone spent ten months filling, every tool already sharpened. He won Anthropic's own hackathon with this setup. Everything Claude Code: #everythingclaudecode #claudecode #cursor #codex #aiagents

Ten months of private Claude Code tuning just went public, free on GitHub. It's called Everything Claude Code: 286 skills and 68 subagents. Basically a dev team in a folder. One skill scans your code for security holes. One keeps your memory clean. One learns from your past sessions. And it isn't locked to Claude Code: it runs on Cursor, Codex, Encode and Gemini too. Like inheriting a toolbox someone spent ten months filling, every tool already sharpened. He won Anthropic's own hackathon with this setup. Everything Claude Code: #everythingclaudecode #claudecode #cursor #codex #aiagents

jackroberts____

1,000,000 次观看 • 1 个月前

STOP BURNING YOUR OPUS 5.5 LIMIT FOR NOTHING these 8 repos cut what Claude reads, writes and re-reads. copy the list before your next long session: headroom: shrinks tool output, logs and files before they reach the model, and keeps the originals so Claude can pull them back when it needs them. 75k stars claude-context: semantic search over your whole codebase, so Claude fetches the relevant snippets and doesn’t read whole files to find them. 12k stars lean-ctx: a local layer that compresses file reads and shell output. a file Claude already read costs about 13 tokens the second time. 3.8k stars openwolf: hooks that keep a project index and session notes, so Claude skips files it already read and doesn’t lose its work at compaction. 2.1k stars claude-token-efficient: one CLAUDE.md that keeps answers short. nothing to install, and output is the $20-per-million side of Opus 5.5. 6.1k stars jcodemunch-mcp: indexes the repo once, then Claude asks for one function and gets just that. it claims 95% less code reading. 2.5k stars ccusage: reads your local Claude Code logs and shows tokens and cost by day and by session. 19k stars Claude-Code-Usage-Monitor: live usage bars and a forecast of when you’ll hit your limit. 8.6k stars none of them makes Opus better. each one just stops it from paying for tokens it didn’t need start with the last two: see where your limit actually goes, then pick two tools from the top. the full setup with scripts is in the article

STOP BURNING YOUR OPUS 5.5 LIMIT FOR NOTHING these 8 repos cut what Claude reads, writes and re-reads. copy the list before your next long session: headroom: shrinks tool output, logs and files before they reach the model, and keeps the originals so Claude can pull them back when it needs them. 75k stars claude-context: semantic search over your whole codebase, so Claude fetches the relevant snippets and doesn’t read whole files to find them. 12k stars lean-ctx: a local layer that compresses file reads and shell output. a file Claude already read costs about 13 tokens the second time. 3.8k stars openwolf: hooks that keep a project index and session notes, so Claude skips files it already read and doesn’t lose its work at compaction. 2.1k stars claude-token-efficient: one CLAUDE.md that keeps answers short. nothing to install, and output is the $20-per-million side of Opus 5.5. 6.1k stars jcodemunch-mcp: indexes the repo once, then Claude asks for one function and gets just that. it claims 95% less code reading. 2.5k stars ccusage: reads your local Claude Code logs and shows tokens and cost by day and by session. 19k stars Claude-Code-Usage-Monitor: live usage bars and a forecast of when you’ll hit your limit. 8.6k stars none of them makes Opus better. each one just stops it from paying for tokens it didn’t need start with the last two: see where your limit actually goes, then pick two tools from the top. the full setup with scripts is in the article

rvaniaaa

12,381 次观看 • 27 天前

Graphify might be the most powerful OpenClaw plugin yet 🤯 It makes OpenClaw and Claude Code up to 70x more efficient, dramatically faster, and massively cheaper to run. People are saying it can cut token costs by 70x while making your AI agents much smarter at the same time. This free tool could save you thousands. 🚀 #OpenClaw #ClaudeCode #Graphify #AI #ArtificialIntelligence

Graphify might be the most powerful OpenClaw plugin yet 🤯 It makes OpenClaw and Claude Code up to 70x more efficient, dramatically faster, and massively cheaper to run. People are saying it can cut token costs by 70x while making your AI agents much smarter at the same time. This free tool could save you thousands. 🚀 #OpenClaw #ClaudeCode #Graphify #AI #ArtificialIntelligence

Future Ai With Julian

15,800 次观看 • 7 个月前

What if you could use Claude Code without paying for tokens? free-claude-code is an open source CLI that lets you run Claude Code, Codex, OpenCode and more on free token sources. Terminal. IDE. Desktop app. Even your phone. Perfect for learning the tools before you pay for them. Check which models it routes to before you trust it with real work. Repo below 👇

What if you could use Claude Code without paying for tokens? free-claude-code is an open source CLI that lets you run Claude Code, Codex, OpenCode and more on free token sources. Terminal. IDE. Desktop app. Even your phone. Perfect for learning the tools before you pay for them. Check which models it routes to before you trust it with real work. Repo below 👇

CyrilXBT

17,665 次观看 • 24 天前

Karpathy sketched the second brain. these 7 open-source repos already built it for Obsidian + Claude Code 250,000+ GitHub stars between them, and every one is free to clone sorted by stars: 1. graphify - 134k stars turns your codebase, docs, SQL schemas and PDFs into one knowledge graph you can query ↳ 2. Understand-Anything - 88k stars maps any codebase into an interactive knowledge graph you can click through ↳ 3. claude-obsidian - 15.8k stars a second brain that organizes itself: drop in a source, Claude Code files it ↳ 4. obsidian-second-brain - 4.9k stars long-term memory for Claude Code, stored as plain markdown in your vault ↳ 5. mcp-obsidian - 4.5k stars one MCP server and Claude can read, search and write your whole vault ↳ 6. claudesidian - 2.6k stars a starter vault designed around Claude Code from the first note ↳ 7. second-brain - 756 stars an Obsidian wiki the model keeps up to date, built on Karpathy's LLM Wiki pattern ↳ where to start: > your knowledge lives in code -> graphify > your knowledge lives in Obsidian -> claude-obsidian > you just want Claude to remember -> obsidian-second-brain > you live in Claude Desktop -> mcp-obsidian the skills that sit on top of all seven are in the full map below ↓

Karpathy sketched the second brain. these 7 open-source repos already built it for Obsidian + Claude Code 250,000+ GitHub stars between them, and every one is free to clone sorted by stars: 1. graphify - 134k stars turns your codebase, docs, SQL schemas and PDFs into one knowledge graph you can query ↳ 2. Understand-Anything - 88k stars maps any codebase into an interactive knowledge graph you can click through ↳ 3. claude-obsidian - 15.8k stars a second brain that organizes itself: drop in a source, Claude Code files it ↳ 4. obsidian-second-brain - 4.9k stars long-term memory for Claude Code, stored as plain markdown in your vault ↳ 5. mcp-obsidian - 4.5k stars one MCP server and Claude can read, search and write your whole vault ↳ 6. claudesidian - 2.6k stars a starter vault designed around Claude Code from the first note ↳ 7. second-brain - 756 stars an Obsidian wiki the model keeps up to date, built on Karpathy's LLM Wiki pattern ↳ where to start: > your knowledge lives in code -> graphify > your knowledge lives in Obsidian -> claude-obsidian > you just want Claude to remember -> obsidian-second-brain > you live in Claude Desktop -> mcp-obsidian the skills that sit on top of all seven are in the full map below ↓

Mr. Buzzoni

30,515 次观看 • 17 天前

graphify is a cheat code

graphify is a cheat code

Chase AI

53,400 次观看 • 5 个月前

A single Claude skill just passed 164,000 stars on GitHub. It's called Ponytail. And it makes your agent code like that senior dev who never writes a line more than needed. The one who looks at your 50 lines and replaces them with one. Version 5 just dropped: → 53% less code → 41% less time → 26% lower cost → 45% fewer tokens And the crazy part: It writes half the code, but doesn't skip the testing. 98% of critical code ships with a test to make sure it works. Without the skill, only 68%. Real example: You ask it to add a date picker. Without the skill → builds one from scratch in 335 lines With Ponytail → uses the browser's built-in one in 10 lines Why it matters to you: If you code with agents, you pay for every line they write. Less code = fewer tokens, fewer bugs and less to maintain. Works with Claude Code, Codex, Cursor, Copilot and 15+ other agents. 164K stars. MIT license. Free. Link below :)

A single Claude skill just passed 164,000 stars on GitHub. It's called Ponytail. And it makes your agent code like that senior dev who never writes a line more than needed. The one who looks at your 50 lines and replaces them with one. Version 5 just dropped: → 53% less code → 41% less time → 26% lower cost → 45% fewer tokens And the crazy part: It writes half the code, but doesn't skip the testing. 98% of critical code ships with a test to make sure it works. Without the skill, only 68%. Real example: You ask it to add a date picker. Without the skill → builds one from scratch in 335 lines With Ponytail → uses the browser's built-in one in 10 lines Why it matters to you: If you code with agents, you pay for every line they write. Less code = fewer tokens, fewer bugs and less to maintain. Works with Claude Code, Codex, Cursor, Copilot and 15+ other agents. 164K stars. MIT license. Free. Link below :)

Bruce Radley

249,574 次观看 • 26 天前

We've added a new command to Claude Code called /insights When you run it, Claude Code will read your message history from the past month. It'll summarize your projects, how you use Claude Code, and give suggestions on how to improve your workflow.

We've added a new command to Claude Code called /insights When you run it, Claude Code will read your message history from the past month. It'll summarize your projects, how you use Claude Code, and give suggestions on how to improve your workflow.

Thariq

1,241,363 次观看 • 9 个月前

Holy sh*t I spent weeks turning Claude Code into a design studio. no Figma license. no agency. no plugins I had to pay for. here's the stack I used and it's embarrassingly simple: -> graphify: teach Claude your brand dump your guidelines, logos, PDFs and old projects into one folder. graphify turns it into a knowledge graph, so every design Claude makes follows your rules instead of guessing. 134k stars, Y Combinator. uv tool install graphifyy -> graphify install -> /graphify . -> Figma-Context-MCP: Figma straight to code it hands your actual Figma file to the agent. the README says it builds designs in one shot, and does it better than pasting screenshots. -> Penpot: the open-source Figma free, open source, and its MCP server lets AI read and edit your designs, then hand them to code and back. -> React Bits: the "expensive" look, for free the biggest open-source library of animated React components. those smooth hover effects and text animations you see on high-end sites? copy, paste, done. -> HyperFrames: designs that move write HTML, get a finished video. made by HeyGen for AI agents. your landing page can now have its own launch video by tonight. claude plugin marketplace add heygen-com/hyperframes -> claude plugin install hyperframes@hyperframes -> MCP for Blender: 3D without learning Blender connects Claude to Blender. describe a scene, the agent builds and edits it in real 3D. the order that works: brand into graphify -> design in Figma or Penpot -> Claude builds it with React Bits -> HyperFrames makes the promo -> Blender adds the 3D hero shot the uncomfortable part: tools used to be the moat. now everyone has them for free. the only thing that still separates good design from AI slop is taste. and taste is the one thing you can't install. bookmark this. your next client will ask why you're suddenly so fast.

kiosa

73,242 次观看 • 16 天前

you think you're working while Claude Code runs you're not you're its notification handler every approval yanks, you back from whatever you were doing, just to type yes again that context-switch tax is the real cost, not the clicks draw the rules once the interruptions stop you get your focus back, Claude keeps moving without you

you think you're working while Claude Code runs you're not you're its notification handler every approval yanks, you back from whatever you were doing, just to type yes again that context-switch tax is the real cost, not the clicks draw the rules once the interruptions stop you get your focus back, Claude keeps moving without you

Lagosaur

39,908 次观看 • 4 个月前

Arena (GitHub): One Claude gives you one answer. A hundred Claudes have to earn it. Arena is a free Claude Code skill. Type /arena with your task. 100 copies get the same job. Each one thinks about it differently. They pair off. They attack each other's answers. A judge knocks out each loser. 100, then 50, then 25, down to one. Like a cooking show with 100 chefs. Only one dish makes it to the table. You get the winner. Plus every attack it survived. It burns through a lot of Claude usage. So save it for the questions that matter. #claude #claudecode #claudeskills #arena #aiagents

Arena (GitHub): One Claude gives you one answer. A hundred Claudes have to earn it. Arena is a free Claude Code skill. Type /arena with your task. 100 copies get the same job. Each one thinks about it differently. They pair off. They attack each other's answers. A judge knocks out each loser. 100, then 50, then 25, down to one. Like a cooking show with 100 chefs. Only one dish makes it to the table. You get the winner. Plus every attack it survived. It burns through a lot of Claude usage. So save it for the questions that matter. #claude #claudecode #claudeskills #arena #aiagents

jackroberts____

447,300 次观看 • 15 天前

I truly don't understand why nobody is using this setup graphify, a tool that turns any folder into a knowledge graph your agent can query, just passed 126k stars on github and got into Y Combinator. people stopped asking ai questions. they're giving it a desk, a memory and a job. you give Claude Code one folder, plug in your email, calendar and a browser, and it turns into an agent. it reads, remembers, acts, and checks itself before it does anything stupid. doesn't matter if you're a founder, a marketer or a student, you need this the full setup: > create a folder called AGENT, open Claude Code inside it and add a CLAUDE.md with one rule: "save every decision, person and project to memory/" > run npm install -g @googleworkspace/cli, then gws auth setup. now it reads your Gmail, Calendar and Drive > run claude mcp add playwright npx @playwright/mcp@latest. it gets its own browser to open sites, fill forms and pull data for you > run uv tool install graphifyy, then graphify install, then type /graphify .. everything in the folder becomes a knowledge graph it queries in seconds instead of digging file by file > run npm i -g jev-guard, jev-guard key "...", jev-guard install claude. a tiny model called Jev scores every action before it runs. rm -rf gets blocked, a poisoned email gets flagged, for about 4 cents per 1,000 checks > type /schedule and tell it "every morning at 7:30, send me what came in, what you drafted and what waits for my yes". from now on it works on a routine 15 minutes to set up, and you never start from a blank chat again. every repo is below: -> -> -> -> bookmark this

I truly don't understand why nobody is using this setup graphify, a tool that turns any folder into a knowledge graph your agent can query, just passed 126k stars on github and got into Y Combinator. people stopped asking ai questions. they're giving it a desk, a memory and a job. you give Claude Code one folder, plug in your email, calendar and a browser, and it turns into an agent. it reads, remembers, acts, and checks itself before it does anything stupid. doesn't matter if you're a founder, a marketer or a student, you need this the full setup: > create a folder called AGENT, open Claude Code inside it and add a CLAUDE.md with one rule: "save every decision, person and project to memory/" > run npm install -g @googleworkspace/cli, then gws auth setup. now it reads your Gmail, Calendar and Drive > run claude mcp add playwright npx @playwright/mcp@latest. it gets its own browser to open sites, fill forms and pull data for you > run uv tool install graphifyy, then graphify install, then type /graphify .. everything in the folder becomes a knowledge graph it queries in seconds instead of digging file by file > run npm i -g jev-guard, jev-guard key "...", jev-guard install claude. a tiny model called Jev scores every action before it runs. rm -rf gets blocked, a poisoned email gets flagged, for about 4 cents per 1,000 checks > type /schedule and tell it "every morning at 7:30, send me what came in, what you drafted and what waits for my yes". from now on it works on a routine 15 minutes to set up, and you never start from a blank chat again. every repo is below: -> -> -> -> bookmark this

kiosa

110,560 次观看 • 26 天前

Você desperdiça tokens toda sessão do Claude Code e nem percebe. Cada nova sessão = reler tudo do zero = 15k–20k tokens jogados fora. O Graphify resolve isso. 71x menos tokens nas próximas sessões. 👉 Comenta "Vault" para receber o guia.

Você desperdiça tokens toda sessão do Claude Code e nem percebe. Cada nova sessão = reler tudo do zero = 15k–20k tokens jogados fora. O Graphify resolve isso. 71x menos tokens nas próximas sessões. 👉 Comenta "Vault" para receber o guia.

Gabriel Adamuchi - kairogen.ai

14,864 次观看 • 6 个月前

You can now run Claude Code tasks from the Claude Android app, in research preview. Kick off cloud-based tasks from your phone, let Claude run, then pick them up later to review and merge work. Download Claude for Android:

You can now run Claude Code tasks from the Claude Android app, in research preview. Kick off cloud-based tasks from your phone, let Claude run, then pick them up later to review and merge work. Download Claude for Android:

Claude

51,409 次观看 • 11 个月前

Claude Code vs Agent Zero, same model: Claude Opus 5 High, released yesterday. Build a working Web OS from scratch. Terminal, apps, two games. Claude Code: 9:58, 80.3k tokens Agent Zero: 11:34, 59.7k tokens That's 26% fewer tokens for the same result. Full test at the end

Claude Code vs Agent Zero, same model: Claude Opus 5 High, released yesterday. Build a working Web OS from scratch. Terminal, apps, two games. Claude Code: 9:58, 80.3k tokens Agent Zero: 11:34, 59.7k tokens That's 26% fewer tokens for the same result. Full test at the end

Agent Zero

847,203 次观看 • 3 个月前