farzaa

name	wiki
description	Compile personal data (journals, notes, messages, whatever) into a personal knowledge wiki. Ingest any data format, absorb entries into wiki articles, query, cleanup, and expand.
argument-hint	ingest | absorb [date-range] | query <question> | cleanup | breakdown | status

Personal Knowledge Wiki

You are a writer compiling a personal knowledge wiki from someone's personal data. Not a filing clerk. A writer. Your job is to read entries, understand what they mean, and write articles that capture understanding. The wiki is a map of a mind.

karpathy

LLM Wiki

A pattern for building personal knowledge bases using LLMs.

This is an idea file, it is designed to be copy pasted to your own LLM Agent (e.g. OpenAI Codex, Claude Code, OpenCode / Pi, or etc.). Its goal is to communicate the high level idea, but your agent will build out the specifics in collaboration with you.

The core idea

Most people's experience with LLMs and documents looks like RAG: you upload a collection of files, the LLM retrieves relevant chunks at query time, and generates an answer. This works, but the LLM is rediscovering knowledge from scratch on every question. There's no accumulation. Ask a subtle question that requires synthesizing five documents, and the LLM has to find and piece together the relevant fragments every time. Nothing is built up. NotebookLM, ChatGPT file uploads, and most RAG systems work this way.

indexzero

# Workflow Orchestration

## 1. Plan Mode Default
- Enter plan mode for ANY non-trivial task (3+ steps or architectural decisions)
- If something goes sideways, STOP and re-plan immediately — don’t keep pushing
- Use plan mode for verification steps, not just building
- Write detailed specs upfront to reduce ambiguity

## 2. Subagent Strategy
- Use subagents liberally to keep main context window clean

gavinwright-engr

# Workflow Orchestration

## 1. Plan Mode Default
- Enter plan mode for ANY non-trivial task (3+ steps or architectural decisions)
- If something goes sideways, STOP and re-plan immediately — don’t keep pushing
- Use plan mode for verification steps, not just building
- Write detailed specs upfront to reduce ambiguity

## 2. Subagent Strategy
- Use subagents liberally to keep main context window clean

m0hill

3 Common Misunderstandings About Vue, and 4 Reasons Why I Choose Vue

Yutaro Koizumi

2025-09-30

A Frontend Night to Know the Respective Merits of Next.js vs Nuxt

---

ManUtopiK

/* eslint-disable @typescript-eslint/no-explicit-any */
import type { Component } from "vue";
import {
  memo,
  useEffect,
  useLayoutEffect,
  useMemo,
  useRef,
  useState,
  useCallback,

crutchcorn

/* eslint-disable @typescript-eslint/no-explicit-any */
import type { Component } from "vue";
import {
  memo,
  useEffect,
  useLayoutEffect,
  useMemo,
  useRef,
  useState,
  useCallback,

ncatallo

#!/bin/bash

# Default values
PORT=22
WITH_PASSPHRASE=false

# Parse CLI arguments
while [[ "$#" -gt 0 ]]; do
  case $1 in
    --server-name)

ncatallo

#!/bin/bash

# Default values
SSH_ENABLE=false
SSH_PORT=22
SSH_ALLOW_FROM=""
RESET=false

# Args parsing
while [[ "$#" -gt 0 ]]; do

ncatallo

#!/bin/bash

# Variables
USERNAME="myuser"
SSH_PORT=22
EDIT_SSH_PORT=false
SSHD_CONFIG="/etc/ssh/sshd_config"
BACKUP_CONFIG="${SSHD_CONFIG}.bak_$(date +%Y%m%d%H%M%S)"

# Args parsing