A clean, opinionated, power‑user‑grade list of KernelSU / Magisk / Zygisk / LSPosed modules. Think: stability first, stealth where needed, quality‑of‑life everywhere. Emojis included. Whistles enabled. 🚀
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harashvaradhan
/ Android.txt
Last active
August 19, 2026 10:44
Steps to publish Android and iOS apps to respective stores
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| Steps to Submit app to Google Play Store | |
| 1. Prepare your developer account. | |
| 1.1 Register for a Google Play Developer account using your Google Account (https://play.google.com/console/u/0/signup) | |
| 1.2 Once you have a Developer account, you can use the Play Console to publish and manage your apps | |
| 1.3 During the signup process, you'll need to review and accept the Google Play Developer Distribution Agreement | |
| 1.4 Pay registration fee. There is a $25 USD one-time registration fee that you can pay with credit or debit cards | |
| 1.5 Type your account details. Your "Developer name" is displayed to customers on Google Play. | |
| 1.6 You can add more account information after you've created your account. |
supermarsx
/ curated-list-android-ksu-lsposed-module.md
Created
January 18, 2026 17:36
Curated list of Essential Root Modules
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.
nolanlawson
/ SKILL.md
Last active
August 19, 2026 10:34
"Triple agent" code review Claude skill (context: https://nolanlawson.com/2026/05/25/using-ai-to-write-better-code-more-slowly/)
| name | code-review-turbo | ||||
|---|---|---|---|---|---|
| description | Run a triple-agent code review on the current branch's PR. Waits for Cursor Bugbot, runs a Claude sub-agent and Codex in parallel, then cross-references all findings to filter out hallucinations. Use when you want a thorough, multi-perspective code review before merging. | ||||
| metadata |
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| allowed-tools | Bash(gh:*) Bash(codex:*) Bash(cat:*) Bash(tee:*) Bash(sleep:*) Agent Read Grep Glob Write(/tmp/*) |
This setup can reach the title screen, character selection, orbit, the Director, destinations, and real gameplay on Apple Silicon.
It is not stable: startup, activity transitions, returning to orbit, minimizing, and fullscreen changes can crash or freeze the game. Expect to relaunch it.
Sunrise does not officially support macOS, and this is not an upstream-supported configuration.
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