eevmanu

COSMIC DE Numpad Workspace Shortcuts: Handoff & Replication Guide

Snapshot Date: October 1, 2026

Target Environment: COSMIC Desktop Environment (Pop!_OS 24.04+ / Wayland / cosmic-comp)

Scope: Generalized, machine-independent instructions to replicate Numpad workspace navigation on any fresh COSMIC installation.

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eevmanu

#!/usr/bin/env bash
# ==============================================================================
# TOOL: Chrome Bookmarks Interactive Fuzzy Search & Clipboard Tool
# ==============================================================================
#
# USAGE:
#   Run this command directly in your terminal, or bind it to a bash/zsh function.
#
# ------------------------------------------------------------------------------
# PIPELINE ARCHITECTURE BREAKDOWN

eevmanu

#!/usr/bin/env bash
# ==============================================================================
# claude_mem_search.sh
# ==============================================================================
# Dynamic interactive search across Claude memory markdown files using fzf + ripgrep.
#
# Features:
#   1. Automatic discovery of memory directories (~/.claude/**/memory/).
#   2. Dynamic ripgrep search triggered only when query length >= 3 characters.
#   3. Instant clean screen when query length < 3 characters.

eevmanu

Comprehensive Technical Comparison: Pandoc vs. MarkItDown vs. AnyDoc

Executive Summary

Document conversion is a foundational capability across enterprise search, Knowledge Retrieval-Augmented Generation (RAG) pipelines, publishing systems, and multi-modal AI applications. This authoritative technical report presents a deep, source-code grounded architectural evaluation of three premier document transformation technologies:

1. Pandoc (v3.10.1): A pure functional document compiler written in Haskell, built around a universal Abstract Syntax Tree (AST) designed for bidirectional multi-target publishing.
2. MarkItDown: A Python-native object converter pipeline created by Microsoft, designed for flexible, multi-modal ingestion (including LLM vision and audio transcription) targeting Markdown.
3. AnyDoc (v0.1.3): A ultra-fast, zero-dependency document parsing engine written in modern Rust, engineered specifically by Firecrawl for high-throughput LLM-ready Markdown generation in single-digit m

eevmanu

which fff-mcp
/home/user/path/to/.../bin/fff-mcp


cd /path/to/project/


jq .enabledMcpjsonServers .claude/settings.local.json
[

eevmanu

Confirmed against the official man pages (gitignore(5), git-config(1), gitrepository-layout(5)) and cross-checked against your actual machine — both files exist here and are demonstrably active.

What each path means

$HOME/.config/git/ignore — your per-user, all-repositories ignore list. It isn't hardcoded; it's the default value of the config variable core.excludesFile. Verbatim from git-config(1) (your local 2.54.0 man page):

core.excludesFile Specifies the pathname to the file that contains patterns to describe paths that are not meant to be tracked, in addition to .gitignore (per-directory) and .git/info/exclude. Defaults to $XDG_CONFIG_HOME/git/ignore. If $XDG_CONFIG_HOME is either not set or empty, $HOME/.config/git/ignore is used instead. See gitignore(5).

So the path you asked about is the XDG fallback: XDG_CONFIG_HOME is unset on most Linux desktops, so $XDG_CONFIG_HOME resolves to $HOME/.config, hence $HOME/.config/git/ignore. Same fallback r

eevmanu

Technical Research & Implementation Report: Nebius CLI & Kubernetes Exec Plugin OAuth Browser Loop Issue

Document Version: 2.1 (Fully Generalized & Portable Edition)
Target File Path: nebius_auth_browser_loop_research.md
Topics Covered: Nebius Managed Kubernetes (mk8s), OAuth 2.0 PKCE Flow, client-go Exec Plugin Spec, Kubeconfig Hardening (--no-browser, interactiveMode: Never), Dynamic CLI & User Retrieval (which nebius, nebius profile current, jq / grep), Service Account Authorized Keys vs. NEBIUS_IAM_TOKEN Environment Variables.

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Executive Summary

eevmanu

The Rise of LLM Inference and AI Systems Engineering: A Deep Dive into Distributed Serving, Architectural Co-design, and Low-Level Optimizations

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Executive Summary

The transition of artificial intelligence from exploratory training paradigms to high-throughput, low-latency, and cost-efficient production serving has catalyzed the birth of two highly specialized, deeply technical engineering disciplines: AI/ML Systems Engineering and LLM Inference Engineering (often grouped under Inference Systems Engineering).

Historically, machine learning was cleanly partitioned: ML researchers designed model architectures in Python, while software engineers deployed them as monolithic black-box containers behind simple HTTP/gRPC gateways. Today, as Large Language Models (LLMs) scale to hundreds of billions of parameters, and as autoregressive generation imposes severe memory, bandwidth, and compute constraints, this clean separation has collapsed.

eevmanu

Maximizing Residential Water Quality: The Engineering and Biophysical Foundation of the Multi-Stage Gold Standard Purification System

Author: Senior Water Quality Research Specialist
Prepared For: Executive Research Lead
Date: July 21, 2026

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Executive Summary

Maximizing residential water quality to clinical and toxicological "gold standards" requires a multi-stage, barrier-in-series treatment train. No single filtration technology is thermodynamic or kinetic-capable of removing the complete spectrum of modern tap water contaminants—ranging from large suspended particulates to sub-nanometer dissolved heavy metals, synthetic halogenated organics, and microbiological pathogens.

eevmanu

The Sunscreen Dichotomy: Demystifying Mineral Barriers, Chemical Absorption, and the Scientific "Gold Standard"

A Rigorous, Evidence-Based Investigation into Inorganic Photoprotection and Clinical Formulation Safety

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1. Executive Summary & The Verdict

The search for the "holy grail" sunscreen is often guided by a mixture of consumer-focused marketing, dermatological advice, and environmental concerns. Consumers frequently seek out "physical" or "mineral" sunscreens under the belief that they act as inert, mirror-like shields that reflect solar radiation away from the skin.

This academic deep-research report synthesizes peer-reviewed literature from cognitive dermatology, photobiology, and clinical pharmacology to evaluate this paradigm and identify the true, scientifically backed "gold standard" in UV protection.