rohansx/build-discipline — explained in plain English
Analysis updated 2026-05-18
Install SKILL.md as a Claude Agent Skill so it triggers automatically during coding tasks.
Paste the file into a CLAUDE.md or .cursorrules file to guide any AI coding agent.
Use the nine principles as a personal checklist before starting a non-trivial build.
Keep the file open while reviewing a pull request to catch fragile shortcuts.
| rohansx/build-discipline | 000madz000/payload-test-api-route-handler | 0marildo/imago | |
|---|---|---|---|
| Stars | 3 | 3 | 3 |
| Language | — | TypeScript | Python |
| Setup difficulty | easy | easy | easy |
| Complexity | 1/5 | 2/5 | 2/5 |
| Audience | developer | developer | general |
Figures from each repo's GitHub metadata at analysis time.
build-discipline is a single file you add to an AI coding assistant so that it builds software the way a careful senior engineer would, instead of producing a demo that looks fine at first but breaks under real use. The whole project is one Markdown file called SKILL.md, meant to be dropped into Claude Code, Cursor, or any other coding agent that can read a skills or rules file. The idea behind it is that AI models are already good at writing code that looks plausible, but they tend to skip the habits that make code reliable: measuring the numbers they would otherwise guess, keeping different kinds of state separate so nothing goes stale, checking correctness against invariants rather than just hoping the output looks right, and building things in small, checked stages instead of all at once. The author is clear that this file does not make a model smarter, it just gets the model to actually follow the same discipline a careful engineer would apply on their own. Inside SKILL.md are nine principles, each one tied to a real mistake the author made while building two different projects, a self improving knowledge system and a multi agent simulation. The principles cover things like separating source of truth data from data that can be recalculated, keeping a core piece of logic pure and reproducible so it can be tested, always calibrating constants from printed data rather than guesswork, preferring rules that combine cleanly over special cases, and designing for the worst case state so the system stays coherent even when something goes wrong. There are three ways to use it. You can install it as a Claude Agent Skill so it triggers automatically during coding tasks, paste or reference it inside another agent's rules file such as CLAUDE.md or .cursorrules, or simply read it yourself as a checklist before starting a non trivial build and keep it open while reviewing a pull request. The project has no code, dependencies, or setup beyond copying the file, and it is released under the MIT License.
A single Markdown file of nine engineering principles you drop into an AI coding assistant so it builds reliable software instead of a fragile demo.
Use freely for any purpose, including commercial use, as long as you keep the copyright notice.
Setup difficulty is rated easy, with roughly 5min to a first successful run.
Mainly developer.
This repo across BitVibe Labs
double-check against the repo, no cap.