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goofansu / alfred-section-symbol.CGeT3B.md
Created July 1, 2026 09:52
Set up the § section sign in Alfred Snippets

Typing the § section sign with Alfred Snippets on macOS

On macOS, § is normally typed with Option+6 on many keyboard layouts. If that key combo is captured by tmux, your terminal, or another app shortcut, an Alfred Snippet is a reliable workaround.

Setup

  1. Open Alfred Preferences.
  2. Go to Features → Snippets.
  3. Create or choose a snippet collection.
  4. Add a new snippet:
@goofansu
goofansu / worktrunk.ts
Created June 19, 2026 14:12
Backup of pi-stuff worktrunk extension before removal
/**
* Worktrunk status marker extension
*
* Updates the wt list activity marker to reflect Pi's current state:
* 🤖 — Pi is working
* 💬 — Pi is waiting for input
*
* Requires the worktrunk CLI (https://worktrunk.dev).
* Markers appear in `wt list` alongside the current branch.
*/
@goofansu
goofansu / gist:f53fcb98bb87840964e9fd9d730456b7
Created June 8, 2026 02:57
QA Test Plan — OA-28608 Contact Form (feat-contact-form)

QA Test Plan — Contact Form (OA-28608 / feat-contact-form)

Staging target: CA stage-04 (make deploy-stage-04) — use a school with CRM/Leads enabled.


Area 1 — Form Editor: Create a new Contact Form

# Step Expected
@goofansu
goofansu / llm-wiki.md
Created April 8, 2026 03:14 — forked from karpathy/llm-wiki.md
llm-wiki

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.

@goofansu
goofansu / client_with_guardrails.py
Last active December 9, 2024 06:39
Use Guardrails AI with OpenRouter (you need to set OPENAI_API_KEY environment variable to the OpenRouter API key)
import os
from openai import OpenAI
client = OpenAI(
base_url='http://127.0.0.1:8000/guards/my-first-guard/openai/v1',
)
response = client.chat.completions.create(
model="openrouter/anthropic/claude-3-5-haiku",
messages=[{
@goofansu
goofansu / app.js
Last active August 5, 2023 04:05
LiveView upload directly to AWS China S3
let Uploaders = {}
Uploaders.S3 = function (entries, onViewError) {
entries.forEach(entry => {
let xhr = new XMLHttpRequest()
onViewError(() => xhr.abort())
xhr.onload = () => (xhr.status === 200 ? entry.done() : entry.error())
xhr.onerror = () => entry.error()
xhr.upload.addEventListener("progress", event => {
if (event.lengthComputable) {