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    using System;
    using System.Diagnostics;
    using System.Linq;
    using System.Web;
    using System.Web.Http.Filters;

    public class RouteDiagnosticsFilter : ActionFilterAttribute
    {
        public override void OnActionExecuted(HttpActionExecutedContext pActionContext)
        {

diegohb

//Run this from your twitter account's following page: https://twitter.com/following
//if you have more than a scroll-page worth of following, keep scrolling so they load... 
//but I wouldn't attempt to process more than a few hundreds at a time.
//load up the console (F12), and execute the following:
jQuery("div.GridTimeline").find("button.user-actions-follow-button span.following-text:visible").click()

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<template>
    <ul class.bind="ContainerCssClass">
        <li role="presentation" repeat.for="navItem of BoundRouter.navigation" class="${navItem.isActive ? ActiveItemCssClass : ''}">
            <a data-toggle="${IsCollapseEnabled ? 'collapse' : ''}" data-target="${IsCollapseEnabled ? CollapseTarget : ''}"
               href.bind="navItem.href">
                <span class.bind="navItem.settings.cssClass">
                    ${navItem.settings.isIcon ? '' : navItem.title}
                </span>
            </a>
        </li>

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<?xml version="1.0" encoding="UTF-8"?>
<meta-runner name="Deploy: Azure App Service - FTP">
  <description>Deploy to Azure app service via FTP.</description>
  <settings>
    <parameters>
      <param name="app-service.deployUsername" value="" />
      <param name="app-service.name" value="" />
      <param name="deploy.source.dir" value="**" />
      <param name="app-service.resource-group" value="" />
      <param name="app-service.slotName" value="" spec="select data_5='qa' label_5='QA' label_3='UAT' data_7='production-2' display='normal' label_7='Production' data_1='dev' label_1='Development' data_3='uat'" />

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# PowerShell script to import LMStudio GGUF models into Ollama
param(
    [string]$LMStudioPath = "E:\Development\aigpt\lmstudio-models",
    [int]$MaxConcurrency = 4
)

function Write-Status {
    param([string]$Message, [string]$Color = "White")
    Write-Host $Message -ForegroundColor $Color
}

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#Requires -Modules Pester

Describe "Model Parsing Tests" {
    BeforeAll {
        # Import the main script functions
        . $PSScriptRoot\..\Test-OpenCodeProviders.ps1
    }

    Context "Array Indexing with Where-Object" {
        It "Should return array even with single match" {

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<#
.SYNOPSIS
    Consolidated management for UVCS GitServer and GitSync bridges.
#>

function Set-UvcsGitGlobalConfig {
    [CmdletBinding()]
    param (
        [Parameter(Mandatory=$true)]
        [string]$RootPath

diegohb

name	deepwiki-research
description	Forces the agent to use deepwiki.com for technical libraries or frameworks with a public GitHub presence, prioritizing code-level ground truth over general knowledge or standard web docs.
license	MIT
compatibility	opencode
metadata	purpose priority target documentation-enforcement high github-repositories

diegohb

Aurelia v2 Application Guidelines

Last Updated: 2026-02-11
Purpose: Architectural patterns and conventions for Aurelia v2 applications

---

1. Global Architecture & Project Structure

Feature-First Architecture

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description	Refactors markdown files to be highly optimized for LLM/Agent consumption using dense XML macro-structures and progressive discovery.
agent	build
subtask	true

You are an elite AI Prompt and Context Engineer. Your strict mandate is to translate human-readable markdown documentation into high-density, agent-optimized instruction files. You do not write for humans; you optimize strictly for machine attention mechanisms, token efficiency, and progressive context loading.