| allowed-tools | description | ||||||
|---|---|---|---|---|---|---|---|
|
Do the task or fixing tests, commit and push |
Execute tests, fix the failed tests, run all tests to make sure the fixes are successful, commit the changes, and run git push to update the current branch with remote.
| allowed-tools | description | ||||||
|---|---|---|---|---|---|---|---|
|
Do the task or fixing tests, commit and push |
Execute tests, fix the failed tests, run all tests to make sure the fixes are successful, commit the changes, and run git push to update the current branch with remote.
~/.claude/settings.json
{
... your settings ...
"statusLine": {
"type": "command",
"command": "npx -y ccusage@latest statusline"
}An MCP server implementation that provides a tool for dynamic and reflective problem-solving through a structured thinking process.
claude mcp add-json sequential-thinking '{
"type": "stdio",
"command": "npx",
"args": [
"-y",| i386 : iPhone Simulator | |
| x86_64 : iPhone Simulator | |
| arm64 : iPhone Simulator | |
| iPhone1,1 : iPhone | |
| iPhone1,2 : iPhone 3G | |
| iPhone2,1 : iPhone 3GS | |
| iPhone3,1 : iPhone 4 | |
| iPhone3,2 : iPhone 4 GSM Rev A | |
| iPhone3,3 : iPhone 4 CDMA | |
| iPhone4,1 : iPhone 4S |
| https://drive.google.com/file/d/148TyjP4q513ts19mNi6SnB6rNUgJWVo4/view?usp=sharing |
| -- show running queries (pre 9.2) | |
| SELECT procpid, age(clock_timestamp(), query_start), usename, current_query | |
| FROM pg_stat_activity | |
| WHERE current_query != '<IDLE>' AND current_query NOT ILIKE '%pg_stat_activity%' | |
| ORDER BY query_start desc; | |
| -- show running queries (9.2) | |
| SELECT pid, age(clock_timestamp(), query_start), usename, query | |
| FROM pg_stat_activity | |
| WHERE query != '<IDLE>' AND query NOT ILIKE '%pg_stat_activity%' |
| let resp = await fetch('http://wttr.in') | |
| if (resp.ok) { | |
| console.log(await resp.text()) | |
| } |
| . |
| from datetime import datetime | |
| from airflow.models import DAG | |
| from airflow.operators.dummy_operator import DummyOperator | |
| from airflow.operators.python_operator import PythonOperator | |
| DAG_OWNER = '[email protected]' | |
| DAG_ID = 'dag_name' | |
| SCHEDULE_INTERVAL = '@weekly' |
| import logging | |
| import socket | |
| log = logging.getLogger('udp_server') | |
| def udp_server(host='127.0.0.1', port=1234): | |
| s = socket.socket(socket.AF_INET, socket.SOCK_DGRAM) | |
| s.setsockopt(socket.SOL_SOCKET, socket.SO_REUSEADDR, 1) |