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RedM Knowledge Base

This repository is organized for AI retrieval first:

  • one topic per file
  • small files with predictable paths
  • consistent YAML front matter
  • separate docs, datasets, and rules

What is here

  • docs/ contains explanation pages and implementation guidance
  • ai/ contains operating rules for coding agents
  • datasets/ contains structured source inventories and reference records
  • templates/ contains reusable page and resource templates

How to use it

  1. All you have to do is just add this link to your project's context
https://forzayt.github.io/RedM-Knowledge-Base
  1. Start with docs/getting-started/overview.md
  2. Read ai/optimization-rules.md and ai/do-not-do.md
  3. Use datasets/sources.json for source discovery and filtering
  4. Drill into framework, native, and tooling pages as needed

Design goals

  • predictable filenames for indexing
  • shallow folder depth where possible
  • machine-readable metadata on every page
  • documentation and reference data kept separate

Curated source groups

  • Lua: official reference manual and Programming in Lua
  • Cfx: resource manifests and RedM scripting docs
  • Frameworks: VORP, RSG, RedEM, and Native Scripts ns-lib
  • Natives: alloc8or, femga, nativewrappers, VORP RDR3 natives
  • Tooling: OpenIV, Lenny's Mod Loader, and CodeWalker

Next step

If you want this expanded, the next high-value pass is to add:

  • per-native pages under docs/natives/
  • per-framework subpages under docs/frameworks/
  • JSON datasets for peds, horses, weapons, items, prompts, blips, and hashes

About

RedM AI Knowledge Base This repository is organized for AI retrieval first: one topic per file small files with predictable paths consistent YAML front matter separate docs, datasets, and rules

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