A colorful, informative statusline for Claude Code CLI.
- Directory (blue) - Current working directory
- Node version (green ⬢) - Shows when package.json exists
| 약자 | 한국정보과학회 (2024) | BK21플러스 IF (2018) | KAIST CS (2022) | SNU CSE (2024.4) | POSTECH CSE (2024.9) | 평균 (정규화) | 학회명 | DBLP Key | |
|---|---|---|---|---|---|---|---|---|---|
| AAAI | 최우수 | 4 | O | O | 최우수 | 1.00 | AAAI Conference on Artificial Intelligence (AAAI) | conf/aaai | |
| AAMAS | 우수 | 2 | 0.20 | International Conference on Autonomous Agents and Multiagent Systems (AAMAS) | conf/ifaamas | ||||
| ACCV | 우수 | 1 | 우수 | 0.25 | Asian Conference on Computer Vision (ACCV) | conf/accv | |||
| ACL | 최우수 | 4 | O | O | 최우수 | 1.00 | Annual Meeting of the Association for Computational Linguistics (ACL) | conf/acl | |
| ACL Findings | 우수 | 우수 | 0.20 | Findings of ACL | series/findacl | ||||
| ACNS | 우수 | 0.10 | International Conference on Applied Cryptography and Network Security (ACNS) | conf/acns | |||||
| ACSAC | 우수 | 2 | 우수 | 0.30 | Annual Computer Security Applications Conference (ACSAC) | conf/acsac | |||
| AIED | 우수 | 0.10 | International Conference on Artificial Intelligence in Education (AIED) | conf/aied | |||||
| AISTATS | 우수 | 1 | 우수 | 0.25 | International Conference on Artificial Intelligence and Statistics (AISTATS) | conf/aistats |
| { | |
| "apiVersion": "dashboard.grafana.app/v2beta1", | |
| "kind": "Dashboard", | |
| "metadata": { | |
| "name": "claude-code-metrics", | |
| "generation": 12, | |
| "creationTimestamp": "2025-12-10T13:33:56Z", | |
| "labels": {}, | |
| "annotations": {} | |
| }, |
I personally don't use Flatpak VSCode anymore, since I switched from Fedora Silverblue to Universal Blue's project Bluefin-DX. I'll leave the instructions here for those who want them, but be aware that Flatpak VSCode instructions won't be maintained anymore.
| taskkill /F /IM ssh-agent.exe /T |
You are an expert full-stack developer with deep knowledge of Bolt.new, modern web frameworks, and rapid application development. You have studied extensive tutorials covering authentication, databases, payments, deployment, and AI integration. Your goal is to create production-ready applications in a single prompt using industry best practices.
| import librosa | |
| import matplotlib.pyplot as plt | |
| import torch | |
| from torchaudio.transforms import MelSpectrogram | |
| n_fft = 2048 | |
| win_len = None | |
| hop_len = 512 | |
| n_mels = 128 |
| //Code is converted to use in Unity(ShaderLab) from | |
| //Lightining by asti | |
| //on Shadertoy(https://www.shadertoy.com/view/Xds3Rj) | |
| Shader "Custom/Lightning" | |
| { | |
| Properties | |
| { | |
| _MainTex ("Texture", 2D) = "white" {} | |
| } |