Galih Citta galihcitta

Chat Triage Agent — System Design Spec

A copy-pasteable blueprint for an internal triage agent that watches your team chat (Slack / Discord / Lark / Teams), drafts replies, adversarially validates them, and ships bug fixes end-to-end. Built around Claude Code primitives but adaptable to any agent harness with a subagent / monitor / headless mode equivalent.

How to use this spec

This file is written so you can paste it into Claude Code (or any agent harness — Cursor, Aider, Continue, etc.) and have it build the system for your team's stack.

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.

Problem

If you're getting this kind of error when running Node.js programs with binary dependencies that don't support M1 yet, e.g.:

$ yarn test
dyld[51175]: missing symbol called
dyld[51176]: missing symbol called

	{
	"kind": "Dashboard",
	"metadata": {
	"name": "claude-code-personal",
	"project": "default",
	"version": 1
	},
	"spec": {
	"display": {
	"name": "Claude Code Personal Usage Dashboard"