Discover gists
- How to change the background on Firefox to a dark one on new tab / loading screen ?
- Type
about:configin the URL bar - Search
toolkit.legacyUserProfileCustomizations.stylesheetsand double-click the field to set it totrue - Type
about:supportin the URL bar - Look for
Profile folderfield and click on the open button next to it.
New method (contributed by youyoumu)
- Open the browser console with
F12orCtrl + Shift + I. - Enable mobile device emulation with
Ctrl + Shift + M. - Paste the following code into the console and press Enter:
const iframe = document.createElement('iframe');Below is the Effect 4 shape I’d create for a short top-level mlink CLI.
Commands
No links prefix:
mlink health
mlink list [--q] [--status active|tombstoned|all] [--kind alias|generated|all] [--limit] [--cursor] [--all]
mlink get <slug>| #!/usr/bin/env bash | |
| # ============================================================================= | |
| # Docker installation script for Debian/Ubuntu/CentOS/Fedora and derivatives. | |
| # Features: multi-distro support, wget fallback for restricted networks, | |
| # Iranian registry mirrors, log rotation, live-restore, and docker group setup. | |
| # Usage: sudo bash install-docker.sh | |
| # ============================================================================= | |
| set -euo pipefail |
Spice up termux with beautiful themes and productivity plugins to make your life easier!
pkg install zsh git lsd vim
Install Oh-My-Zsh
- 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
- Use subagents liberally to keep main context window clean
Act as a Principal Software Architect and Performance Engineer.
Your task is to perform a comprehensive performance audit and refactor of this entire codebase.
Before making any changes:
-
Thoroughly analyze the architecture, code structure, dependencies, database access patterns, caching strategy, queues, API endpoints, background jobs, asset loading, and deployment configuration.
-
Identify all performance bottlenecks, including but not limited to:
- N+1 database queries
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.
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.
