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Enrique_Ai

@meteoro780

Soy un investigador del tiempo que busca reconstruir la historia. Estoy capacitado para aplicar métodos y técnicas de investigación arqueológica.

 Costa, France
Joined June 2009
  • Tweets22.1K
  • Following6.4K
  • Followers491
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Photo by Enrique_Ai (@meteoro780)Photo by Enrique_Ai (@meteoro780)Photo by Enrique_Ai (@meteoro780)Photo by Enrique_Ai (@meteoro780)Photo by Enrique_Ai (@meteoro780)Photo by Enrique_Ai (@meteoro780)Photo by Enrique_Ai (@meteoro780)Photo by Enrique_Ai (@meteoro780)Photo by Enrique_Ai (@meteoro780)Photo by Enrique_Ai (@meteoro780)
今週GitHubで急上昇したAIリポジトリ10選： 1. security-audit-skill AIエージェントにコードの安全点検を何段階かに分けて任せられる。見つかった問題は裏取り済みの形で返ってくる。 github.com/cloudflare/securi… 2. astryx 画面デザインの部品をまとめたオープンソースの土台。思いどおりに作り替えられ、AIエージェントからも扱える。 github.com/meta/astryx 3. Agent Skills（anthropics） 新しい手順をAIエージェントに覚えさせる部品を集めた公開セット。必要な力を後から足していける。 github.com/anthropics/skills 4. agent-browser ブラウザ操作そのものをAIエージェントに任せられる道具。ページを開いて入力やクリックを代わりに進める。 github.com/vercel-labs/agent… 5. graphify プログラムや資料のまとまりが、関係をたどれる地図に変わる。AIエージェントがどこに何があるかを問い合わせられる。 github.com/Graphify-Labs/gra… 6. claude-mem AIエージェントとのやり取りの記憶を残し、次の会話へ引き継げる。前回を覚えた状態で続きから始められる。 github.com/thedotmack/claude… 7. Claude-Code-Game-Studios Claude Code をまるごとゲーム開発チームに変えられる。役割の違うエージェントたちが連携して制作を進める。 github.com/Donchitos/Claude-… 8. herdr コードを書くAIエージェントを動かすための土台となる環境。接続が切れても作業中の端末は消えず、再接続すると元の配置に戻る。 github.com/herdrdev/herdr 9. gstack Garry Tan の Claude Code 設定をそのまま取り込める。経営から品質管理まで、役割ごとの道具一式がそろう。 github.com/garrytan/gstack 10. claude-quickstarts Claude を使ったアプリ作りをすぐ始められるサンプル集。動かせる形のひな型から試して形にできる。 github.com/anthropics/claude… 10件の詳細はリプ欄へ👇
Image from そう@『n8nの教科書』マイナビ出版 10/22発売 (@so_ainsight)
Image from そう@『n8nの教科書』マイナビ出版 10/22発売 (@so_ainsight)
Image from そう@『n8nの教科書』マイナビ出版 10/22発売 (@so_ainsight)
Image from そう@『n8nの教科書』マイナビ出版 10/22発売 (@so_ainsight)
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J1.Chelsea (@J1Chelsea225) profile picture
J1.Chelsea@J1Chelsea225Nov 12
Cole Palmer Just Did This…😳 #chelsea #colepalmer
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Sumit Roy (@sumitroy2) profile picture
Sumit Roy
@sumitroy2Nov 13
US intelligence took down Jensen Huang, according to the most respected chip analyst in the world.
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James Li (@5149jamesli) profile picture
James Li
@5149jamesliNov 12
We are under attack.
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Luka Modrić on Harry Kane: "It’s amazing to see where he started and where he has arrived in his career, It’s impressive and I’m really happy for him. He deserves it. He was always very humble, working hard, and deserved everything that is happening to him and I’m really happy for him. “It was very emotional because I remember when I got most-capped player for my country, it’s something special, and with the Ballon d’Or, it must be very emotional for him. What I saw from him, his work ethic was amazing. What he got after, to be the best in the world, it’s amazing" [via @HaytersTV]
Image from Bayern & Germany (@iMiaSanMia)
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Don_t Watch This If You Believe Reality Is Real
🤖 Made with AI
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PRUEBA 7 CÓDIGOS SECRETOS DE GEMINI PARA ANUNCIAR PRODUCTOS O NEGOCIOS Sígueme, comparte y comenta, que para eso está Twitter X #ia #ai #inteligenciaartificial #chatgpt #bigdata #data #bilbao #gemini
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Peter Shilton on Harry Kane overtaking him to become England's record appearance maker: "I've held the record for quite a few years now, but if anyone deserves to overtake me, it's Harry. I couldn't think of anyone better. He's been an incredible servant and leader for so long now, and has scored plenty of goals along the way. I think I will be going on to the pitch to present him with something" 🏴󠁧󠁢󠁥󠁮󠁧󠁿 [FIFA]
Image from Bayern & Germany (@iMiaSanMia)
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Faizu Zen (@Faizu_Coder) profile picture
Faizu Zen
@Faizu_CoderNov 12
🚨STUDENTS! Stop reading PDFs manually. Use Gemini Notebook to summarize, take notes, and learn faster.
Image from Faizu Zen (@Faizu_Coder)
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ROMsDEX 🎮 (@RomsDex) profile picture
ROMsDEX 🎮@RomsDexNov 11
No digas nada solo mira...👇🏼 Es un secreto
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Decko. (@Frankzm) profile picture
Decko.
@FrankzmNov 10
Por fin descubrí cómo usar el GIF Resulta que es súper fácil🥵🥵🥵 En resumen 1- Mantén pulsado el GIF 2- Pulsa en "Copiar enlace del vídeo" y pégalo donde quieras Y eso es todo😁 🥵
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Alejo (@ecommartinez) profile picture
Alejo
@ecommartinezNov 8
2. github.com/unclecode/crawl4a… El scraper número uno de GitHub. Convierte cualquier web en markdown limpio y listo para LLM, más rápido que los servicios de pago. Olvídate de API keys, cuentas o pagos por página. Un desarrollador lo montó en unos días después de hartarse de un scraper de pago de 16 dólares. 51 mil estrellas. Apache 2.0.
Image from Alejo (@ecommartinez)
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Alejo (@ecommartinez) profile picture
Alejo
@ecommartinezNov 8
Gracias por llegar hasta aquí 🙏 Espero que este hilo te haya sido útil. Si quieres que haga más contenido como este, házmelo saber con un ❤️ o un RT
Alejo (@ecommartinez) profile pictureAlejo
@ecommartinezNov 8
10 repositorios de GitHub para scrapear todo internet Guárdalos todos. Cada uno extrae datos limpios de cualquier web. Ese nivel de acceso normalmente exige llamadas de ventas y contratos.
Image from Alejo (@ecommartinez)
Image from Alejo (@ecommartinez)
Image from Alejo (@ecommartinez)
Image from Alejo (@ecommartinez)
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Alejo (@ecommartinez) profile picture
Alejo
@ecommartinezNov 8
10 repositorios de GitHub para scrapear todo internet Guárdalos todos. Cada uno extrae datos limpios de cualquier web. Ese nivel de acceso normalmente exige llamadas de ventas y contratos.
Image from Alejo (@ecommartinez)
Image from Alejo (@ecommartinez)
Image from Alejo (@ecommartinez)
Image from Alejo (@ecommartinez)
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beamnxw ./ (@beamnxw) profile picture
beamnxw ./
@beamnxwNov 9
Your agent can spend all night repeating the same mistake Prompt, Context, Loop, and Harness Engineering Find the failing layer and learn exactly what to fix The four-layer playbook for agents that finish the job ↓
Context vs Prompt vs Loop vs Harness Engineering: The Four-Layer Agent Stack

Context vs Prompt vs Loop vs Harness Engineering: The Four-Layer Agent Stack

Article · @beamnxw
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Enrique_Ai retweeted
hayato (@hayatomaruu) profile picture
hayato
@hayatomaruuNov 9
THIS IS AN ACTUAL F*CKING GOLDMINE Opus 5.5 users: learn these 15 official Anthropic commands before writing another mega-prompt and blaming Claude Code 15 essentials to get more out of Opus 5.5: less busywork → parallel agents → faster iteration steal the entire map ↓ 01 /goal code.claude.com/docs/en/goal 02 /batch code.claude.com/docs/en/agen… 03 /subtask code.claude.com/docs/en/sub-… 04 /deep-research code.claude.com/docs/en/work… 05 /design code.claude.com/docs/en/comm… 06 /plan code.claude.com/docs/en/perm… 07 /memory code.claude.com/docs/en/memo… 08 /compact code.claude.com/docs/en/cont… 09 /branch code.claude.com/docs/en/comm… 10 /rewind code.claude.com/docs/en/chec… 11 /mcp code.claude.com/docs/en/mcp 12 /loop code.claude.com/docs/en/sche… 13 /schedule code.claude.com/docs/en/rout… 14 /simplify code.claude.com/docs/en/comm… 15 /remote-control code.claude.com/docs/en/remo… start here: /plan → /goal → /simplify Save this, then read the full Opus 5.5 "Context, Harness, Loops, Prompts" guide below ↓
beamnxw ./ (@beamnxw) profile picturebeamnxw ./
@beamnxwNov 9
Your agent can spend all night repeating the same mistake Prompt, Context, Loop, and Harness Engineering Find the failing layer and learn exactly what to fix The four-layer playbook for agents that finish the job ↓
Context vs Prompt vs Loop vs Harness Engineering: The Four-Layer Agent Stack

Context vs Prompt vs Loop vs Harness Engineering: The Four-Layer Agent Stack

Article · @beamnxw
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Steven A Young - PhD in nuclear physics has something to tell you about nuclear weapons... #nuke #Nuclear #radiation #Iran #war #fear
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Enrique_Ai retweeted
Python Coding (@clcoding) profile picture
Python Coding
@clcodingNov 9
Anatomy of an AI Agent: Understanding the 5 Key Components An AI Agent is more than just an LLM. It's a combination of intelligence, knowledge, tools, and execution. Here's how the main components work together: 1️⃣ LLM = The Brain Reads, writes, reasons, and makes decisions. 2️⃣ RAG = Brain + Library Retrieves relevant information from external knowledge sources before generating answers. 3️⃣ MCP = The Nervous System Connects AI models with external tools, applications, and data through a standardized protocol. 4️⃣ Skills = Muscle Memory Reusable instructions and workflows that help an agent perform tasks consistently. 5️⃣ AI Agent = Brain + Hands Combines reasoning, planning, and tools to execute tasks autonomously. The Big Picture: LLM provides intelligence. RAG provides knowledge. MCP provides connectivity. Skills provide reusable capabilities. AI Agents bring everything together to get work done. Want to Learn More? Explore These AI Courses from CLCODING: 1. IBM RAG and Agentic AI Professional Certificate Learn RAG, LangChain, LangGraph, CrewAI, MCP, vector databases, and multi-agent systems. clcoding.com/2026/06/ibm-rag… 2. Agentic AI Foundations: Build RAG & MCP Chatbots Learn AI agents, embeddings, RAG pipelines, MCP, tool calling, and chatbot development. clcoding.com/2026/09/agentic… Explore more AI, Python, and Data Science learning resources:
Image from Python Coding (@clcoding)
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Isabella (@Isabell2987) profile picture
Isabella
@Isabell2987Nov 9
5. Travel planning system Give it your dates and the kind of trip you want, and it builds a real itinerary, not a copy and paste top 10 list. Setup: Project + web search + a fixed itinerary template
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