| Simplify: Code Review and Cleanup | |
| Review all changed files for reuse, quality, and efficiency. Fix any issues found. | |
| Phase 1: Identify Changes | |
| Run git diff (or git diff HEAD if there are staged changes) to see what changed. If there are no git changes, review the most recently modified files that the user mentioned or that you edited earlier in this | |
| conversation. | |
| Phase 2: Launch Three Review Agents in Parallel |
THIS IS ABOUT YOU
You are not the monomaniacal monster rationalism imagines you as.
You are almost perfectly dissimilar to "an intelligent agent."
What you want is nebulous and context-dependent.
You know better than to go on a quest in search of an ultimate goal.
Discovering what you like is a never-ending path of opening to possibility.
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.
| // Derived from this Gist by Richard Gale: | |
| // https://gist.github.com/RichardGale/6e2b74bc42b3005e08397236e4be0fd0 | |
| // ImGui BFFX binding | |
| // In this binding, ImTextureID is used to store an OpenGL 'GLuint' texture | |
| // identifier. Read the FAQ about ImTextureID in imgui.cpp. | |
| // You can copy and use unmodified imgui_impl_* files in your project. See | |
| // main.cpp for an example of using this. If you use this binding you'll need to | |
| // call 4 functions: ImGui_ImplXXXX_Init(), ImGui_ImplXXXX_NewFrame(), |
name: codex-researcher description: > Use this agent when you need to conduct research on any topic using OpenAI's Codex CLI. This includes gathering information about technologies, companies, market trends, scientific topics, historical events, or any subject requiring in-depth analysis. The agent leverages the codex exec command with web search to perform comprehensive research. model: inherit color: green
| [ | |
| // Navigation | |
| { | |
| "key": "ctrl-h", | |
| "command": "workbench.action.navigateLeft" | |
| }, | |
| { | |
| "key": "ctrl-l", | |
| "command": "workbench.action.navigateRight" | |
| }, |
Write copy that converts. Landing pages, emails, sales copy, headlines, CTAs, social posts — anything persuasive.
This is an AI skill file. It turns any AI into a direct response copywriter trained on the frameworks of Schwartz, Hopkins, Ogilvy, Halbert, Caples, Sugarman, and Collier. Instead of getting generic AI copy, you get internet-native writing that sounds like a smart friend explaining something — while quietly deploying every persuasion principle in the book.