Cacher is the code snippet organizer for pro developers

Here are five distinct iterations of the Chicano tattoo-style theme, each expanding the narrative and scenery while maintaining the fineline black-and-grey aesthetic on vintage parchment.

### 1. The Boulevard Cruise
This scene shifts focus to a late-night cruise down Whittier Boulevard. The **Chevrolet lowrider** is depicted in motion, its front end hopped high in a "three-wheel motion" stance, captured with dynamic motion lines and blurred stippling. The **two skeleton figures** are seated 

/**
 * Definition for singly-linked list.
 * function ListNode(val, next) {
 *     this.val = (val===undefined ? 0 : val)
 *     this.next = (next===undefined ? null : next)
 * }
 */
/**
 * @param {ListNode} head
 * @return {number}
 */
var pairSum = function(head) {
    // 1. Find middle using slow/fast pointers
    let slow = head, fast = head;
    while (fast && fast.next) {
        slow = slow.next;
        fast = fast.next.next;
    }

    // 2. Reverse second half
    let prev = null, curr

{
  "outputStyle": "Explanatory",
  "enableAllProjectMcpServers": true,
  "permissions": {
    "defaultMode": "acceptEdits",
    "allow": ["Read", "Skill", "Bash", "Ide*", "WebSearch", "WebFetch", "mcp__*"]
  }
}

# RTK — Rust Token Killer

## What is it?

RTK is a standalone Rust CLI that sits between your shell and Claude Code, intercepting verbose command output (git logs, test failures, build errors, `find`, `ls -la`, etc.) and filtering, grouping, deduping, and truncating it before the LLM ever sees it. Claimed savings: **60–90% tokens** across ~100 supported dev commands.

It is **not a Claude Code plugin** — there is no marketplace ID and it never appears in `enabledPlugins`. Integration happens vi

/**
 * @param {string[]} words
 * @param {number[]} weights
 * @return {string}
 */
var mapWordWeights = function(words, weights) {
    let out = "";

    for (const w of words) {
        let sum = 0;

        // Sum weights of characters
        for (const ch of w) {
            sum += weights[ch.charCodeAt(0) - 97]; // 'a' = 97
        }

        // Modulo 26
        const v = sum % 26;

        // Reverse alphabetical mapping: 0→'z', 1→'y', ..., 25→'a'
        const mapped = String.fromCharCo

Je veux comprendre Fabric en profondeur.

Mon niveau : développeur Python/Django.

Explique-moi d’abord le problème que cette technologie résout, 

Puis les concepts clés, puis un exemple simple, puis un cas réel professionnel. 

Pose-moi des questions pour vérifier ma compréhension.

export PS1="\n\
\[\033[38;2;255;249;143m\] \w\n\
\[\033[38;2;255;90;91m\] ⏹\
\[\033[38;2;250;190;36m\]⏹\
\[\033[38;2;42;197;67m\]⏹\
\[\033[0m\] \
\[\033[38;2;120;150;255m\]ubuntu-clean \
\[\033[38;2;140;170;255m\]❱ \
\[\033[0m\] "

SUDO() {
    if [ "$(id -u)" -ne 0 ] && command -v sudo >/dev/null 2>&1; then
        sudo "$@"
    else
        "$@"
    fi
}

cc() {
    if command -v tput >/dev/null 2>&1 && [ -n "${TERM:-}" ] && tput reset 2>/dev/null; then
        return
    fi

    clear
}

alias apti='SUDO apt install -y'
alias aptu='SUDO apt update'
alias aptcc='SUDO apt autoremove -y && SUDO apt-get autoclean'
alias aptc='SUDO apt clean'
alias aptup='SUDO apt update && SUDO apt upgrade -y'

alias mkdir='mkdir -p'

alias

/**
 * @param {number[][]} edges
 * @param {number[][]} queries
 * @return {number[]}
 */
var assignEdgeWeights = function(edges, queries) {
    const n = edges.length + 1;
    const g = Array.from({ length: n + 1 }, () => []);

    for (const [u, v] of edges) {
        g[u].push(v);
        g[v].push(u);
    }

    // --- 1) BFS to compute depth + parent[0] ---
    const LOG = 17; // since n <= 1e5, log2(1e5) < 17
    const parent = Array.from({ length: LOG }, () => Array(n + 1).fill(0));
    c

@media (min-width: 320px) and (max-width: 767px) {
  
  .e-con-full.e-flex.e-con.e-child {
    position: relative;
}
  
}

{
  // ============================================================
  // Settings VS Code — poste corporate
  // Périmètre : core VS Code + GitHub Copilot uniquement.
  // Exclus : settings liés aux extensions tierces (Ruff, Pylance,
  // YAML, TOML, Terraform, Material Icons, Gemini) — à réintégrer
  // au fil des approbations du circuit d'allowlisting interne.
  // ============================================================

  // --- UI & Affichage (core) ---
  "window.zoomLevel": 0,
  "workb

/**
 * @param {number[][]} edges
 * @return {number}
 */
var assignEdgeWeights = function(edges) {
    const n = edges.length + 1;
    const g = Array.from({ length: n + 1 }, () => []);

    for (const [u, v] of edges) {
        g[u].push(v);
        g[v].push(u);
    }

    // BFS to compute depths from node 1
    const depth = Array(n + 1).fill(-1);
    const queue = [1];
    depth[1] = 0;

    while (queue.length) {
        const u = queue.shift();
        for (const v of g[u]) {
            

/**
 * @param {number[]} nums
 * @param {number} k
 * @return {number}
 */
var maxTotalValue = function(nums, k) {
    const n = nums.length;

    // -----------------------------
    // 1. Build Sparse Tables for RMQ
    // -----------------------------
    const LOG = Math.floor(Math.log2(n)) + 1;
    const stMax = Array.from({ length: LOG }, () => Array(n).fill(0));
    const stMin = Array.from({ length: LOG }, () => Array(n).fill(0));

    // level 0 is the array itself
    for (let i = 0; i

ayuda:   git config pull.rebase false  # fusionar
ayuda:   git config pull.rebase true   # rebasar
ayuda:   git config pull.ff only       # solo avance rápido

when that appears I allways select the first one: fusionar

In the vast ocean of the internet, where connections are made and conversations spark, there’s a unique platform that has captivated millions: Omegle. For those unfamiliar, Omegle is a free online chat website that allows users to socialize with others without the need to register. It’s a fascinating, sometimes chaotic, and often surprising experience, and today, we're going to explore how to navigate its intriguing waters.
What is [Omegle](https://omezy.io)? And How Does it Work?
At its core,

i want to create a project manager for my ai agency, using mastra.ai and mongodb for observeable memory and vector store as well. the agent needs to have acees to the web with exa.ai web search. it needs to keep linear and github in sync, as well as monday.com. it is to delagate work, not complete work,  after it breaks down the task into pieces , it then passes the work outto its teammates.  from then it monitors the  the progress of the other agents. if they get stuck he is  too assist and