Somkiat Puisungnoen up1
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| { | |
| "servers": { | |
| "drawio": { | |
| "command": "npx", | |
| "args": ["@drawio/mcp"] | |
| } | |
| } | |
| } |
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| $npm i -g cline | |
| $cline | |
| @@ | |
| @@@@@@ | |
| @@@@@@@@@@@@@@@@ | |
| @@@@@@@@@@@@@@@@@@@@ | |
| @@@@@@@@@@@@@@@@@@@@@@ | |
| @@@@@ @@@@ @@@@@ | |
| @@@@@@ *@@@ @@@@@@ |
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| $npx skills add testdino-hq/playwright-skill | |
| ███████╗██╗ ██╗██╗██╗ ██╗ ███████╗ | |
| ██╔════╝██║ ██╔╝██║██║ ██║ ██╔════╝ | |
| ███████╗█████╔╝ ██║██║ ██║ ███████╗ | |
| ╚════██║██╔═██╗ ██║██║ ██║ ╚════██║ | |
| ███████║██║ ██╗██║███████╗███████╗███████║ | |
| ╚══════╝╚═╝ ╚═╝╚═╝╚══════╝╚══════╝╚══════╝ |
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| $uvx schemathesis run https://petstore.swagger.io/v2/swagger.json --checks all | |
| Installed 41 packages in 55ms | |
| Schemathesis v4.12.2 | |
| ━━━━━━━━━━━━━━━━━━━━ | |
| ✅ Loaded specification from https://petstore.swagger.io/v2/swagger.json (in | |
| 2.73s) | |
| Base URL: https://petstore.swagger.io/v2 | |
| Specification: Open API 2.0 |
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| // Java 25 | |
| $java -version | |
| openjdk version "25" 2025-09-16 | |
| OpenJDK Runtime Environment (build 25+35-3488) | |
| OpenJDK 64-Bit Server VM (build 25+35-3488, mixed mode, sharing) | |
| $java Hello.java | |
| Hello | |
| Goodbye |
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| package main | |
| import ( | |
| "fmt" | |
| ) | |
| type HeavyService struct{} | |
| func (s *HeavyService) MethodA() { fmt.Println("A") } | |
| func (s *HeavyService) MethodB() { fmt.Println("B") } // This will be stripped if unused |
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| $bash -c "$(curl -fsSL https://qwen-code-assets.oss-cn-hangzhou.aliyuncs.com/installation/install-qwen.sh)" -s --source qwenchat | |
| ========================================== | |
| Qwen Code Installation Script | |
| ========================================== | |
| ℹ️ System: Darwin 25.2.0 | |
| ℹ️ Shell: zsh |
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| from google import genai | |
| from google.genai import types | |
| MODEL_ID = "gemini-embedding-2-preview" | |
| client = genai.Client() # Assumes that the environment variable GOOGLE_API_KEY is set | |
| # This example shows how to embed both text and an image using the Gemini embedding model. | |
| with open("gemini-embedding-2.jpg", "rb") as f: | |
| image_bytes = f.read() |
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| # 1. ติดตั้ง Ollama | |
| $curl -fsSL https://ollama.com/install.sh | sh | |
| # 2. Check version ต้องเป็น v 0.17 ขึ้นไปเท่านั้น | |
| $ollama -v | |
| ollama version is 0.17.7 | |
| # 3. ทำการติดตั้ง OpenClaw ผ่าน Ollama model | |
| # โดยใช้งาน kimi model บน cloud | |
| # https://ollama.com/library/kimi-k2.5 |
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| # ในการใช้งาน ไม่ควรใช้ root user นะครับ | |
| # ดังนั้นให้ทำการสร้าง non-root user เข้ามาก่อนติดตั้ง เพื่อความปลอดภัย | |
| $sudo adduser openclaw | |
| $sudo usermod -aG sudo openclaw | |
| $su openclaw | |
| # NodeJS 22+ | |
| $npm install -g openclaw@latest |