eevmanu

Yes, this is a very common problem with putting API calls in prompts! If you run it synchronously, your terminal freezes for a half-second every time you press Enter.

To fix this, we can create a smart wrapper script. The script will:

1. Immediately read from a /tmp/ cache file so your prompt is instantaneous (zero lag).
2. Fetch from GitHub in the background if the cache is missing or older than 24 hours.
3. Provide a --refresh flag so you can manually update it right after opening a new PR.

Here is the complete setup to get this working perfectly:

eevmanu

Google Cloud Platform — Gemini for Google Cloud (cloudaicompanion.googleapis.com) Quota & System Limit Reference

Focus: Gemini Code Assist Standard + Gemini CLI

Report scope: Every quota and system-limit row visible in the Cloud Console for the cloudaicompanion.googleapis.com API (the Gemini for Google Cloud / Code Assist backend), interpreted in the context of a user running Gemini Code Assist Standard tier via Gemini CLI. Sources are official Google documentation and the open-source Gemini CLI repository unless otherwise noted.

eevmanu

#!/bin/bash
# ==============================================================================
# Script:      monitor-keyboard.sh
# Description: Monitors for specific USB keyboards and triggers custom scripts
#              on plug/unplug events. Uses debouncing to handle event bursts.
# Tags:        linux, udev, usb, automation, hotplug, debounce, bash
# ==============================================================================

# Minimal PoC for USB Keyboard Detection using udevadm
# Does not require sudo.

eevmanu

https://developers.google.com/workspace/gmail/api/guides/filtering

Caution: All dates used in the search query are interpreted as midnight
on that date in the PST timezone. To specify accurate dates for other
timezones pass the value in seconds instead:


https://developers.google.com/workspace/gmail/api/reference/rest/v1/users.messages/list

eevmanu

#!/usr/bin/env bash

iperf3_us_cities() {
  local url='https://export.iperf3serverlist.net/listed_iperf3_servers.json'
  local sites='los angeles|miami|new york city'

  printf '  last-modified: '
  curl -sI "$url" | grep -i '^last-modified:' | cut -d' ' -f2- | tr -d '\r'
  printf '\n'

eevmanu

{
    "$schema": "https://raw.githubusercontent.com/google-gemini/gemini-cli/main/schemas/settings.schema.json",
    // 1. GLOBAL DEFAULT
    "model": {
        "name": "gemini-3.1-pro-preview"
    },
    // 2. PLAN MODE ROUTING (Prevents swapping models during planning)
    "general": {
        "plan": {
            "modelRouting": false

eevmanu

Translate the provided Spanish text into fluent, idiomatic American English—prioritizing clarity, natural phrasing, and cultural appropriateness for native US speakers. Unless specified otherwise, default to standard American English conventions.

If the input includes sections already in English, focus first on improving, translating, and explaining the parts written in Spanish. Only rework or refine the existing English portions if doing so clearly enhances context, cohesion, or the overall output quality—particularly in cases where mixing English and Spanish in the source text meaningfully enriches the final English result. Apply this in a nuanced way: prioritize Spanish-to-English translation, but apply careful judgment when integrating or rewriting English and Spanish segments together based on semantic intent. This approach should remain narrowly scoped to this use case to avoid reducing the output's precision or quality.

When explaining optimizations or improvements made, provide a precise account of 

eevmanu

{"always_show_progress_bar":false,"analyzer_activation":true,"channel_default_tab":"/videos","channel_trailer_autoplay":false,"comments":"normal","comments_sidebar":false,"comments_sidebar_simple":false,"day_of_week":true,"description":"expanded","disable_likes_animation":true,"forced_theater_mode":true,"hide_author_avatars":true,"hide_comments_count":true,"hide_playlist":false,"hide_sidebar":false,"hide_sponsored_videos_home":true,"hide_views_count":true,"language":"en","lastDarkTheme":"night","livechat":"hidden","player_hide_progress_preview":true,"popup_ad":true,"redirect_shorts_to_watch":true,"related_videos":"hidden","remove_history_shorts":true,"remove_home_page_shorts":true,"remove_subscriptions_shorts":true,"remove_trending_shorts":true,"schedule":"system_peference_dark","squared_user_images":false,"theme":"night","thumbnails_hide":false,"undo_the_new_sidebar":false,"up_next_autoplay":false,"youtube_home_page":"/feed/subscriptions","youtube_language":"en-US"}

eevmanu

markdown syntax

<details>
<summary> <code> click here to see logs 👇 </code> </summary>

```  
[INFO] [launch]: Default logging verbosity is set to INFO
...

eevmanu

ROLE

You are an expert performance review coach specializing in the STAR framework. Your primary skill is transforming raw notes and statements into compelling, concise, and impactful evidence claims suitable for a formal performance review.

GOAL

Your goal is to help me polish a list of my achievements into well-structured evidence claims using the STAR framework. You will guide me through the process by asking clarifying questions to fill in any missing details and will help consolidate similar points to create a strong, clear narrative for my reviewer.

CONTEXT: THE STAR FRAMEWORK