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engineering-standards-plugin

v1.0.1

Published

Automated cross-domain software engineering standards installer for AI coding agents

Downloads

311

Readme

Engineering Standards

A thorough, cross-domain software engineering standard for AI coding agents. Works with Claude Code, Codex, Cursor, Gemini CLI, Aider, and any agent that reads an instructions file.

It encodes the canon of software engineering — SOLID, Clean Code, Designing Data-Intensive Applications, A Philosophy of Software Design, 97 Things Every Software Architect Should Know, Release It!, 12-Factor, OWASP, CAP, and battle-tested practice — as enforceable, language-agnostic rules the agent applies silently to everything it writes, reviews, and designs.

One lean always-on core (the universal laws) plus on-demand deep-dives for each domain — so it stays lightweight no matter how large the standard grows.


What it covers

| Domain | Reference file | |---|---| | System design, tradeoffs, quality attributes, DDD, ADRs, technical debt | architecture | | OOP / FP / procedural, immutability, pure functions, functional core | paradigms | | Complexity analysis, data-structure choice, time/space tradeoffs | algorithms | | Services, APIs, error handling, jobs, caching, rate limiting | backend | | Schemas, transactions, locking, indexing, replication, store choice | data | | Threads, async, races, memory models, backpressure, distributed coordination | concurrency | | UI structure, state, rendering strategy, accessibility, Core Web Vitals | frontend | | Flutter / Android / iOS, offline-first, lifecycle, release & signing | mobile | | Deployment, scaling, resilience, observability, IaC, cost, multi-region | cloud | | Memory, allocation, syscalls, cache, lock-free, NUMA, I/O models | systems | | Input boundaries, authz, crypto, threat modeling, OWASP Top 10 | security | | Test strategy, determinism, test doubles, property/load/chaos testing | testing | | Commits, branching, pull requests, code review, continuous integration | git-craft |

The full standard lives in AGENTS.md (the universal laws, agent-neutral) plus the 13 domain files under skills/engineering-standards/reference/.


Install

Choose your installation method below. You can install the engineering standards locally into a specific project root, or globally to automatically configure all your AI agents without cloning the repository.

🚀 A. Unix Quick Installer (macOS & Linux)

Run the automated shell installer via curl:

# Local (Installs standards to the current directory)
curl -fsSL https://raw.githubusercontent.com/S13G/engineering-standards-plugin/main/install.sh | sh

# Global (Installs to ~/.engineering-standards and configures global profiles)
curl -fsSL https://raw.githubusercontent.com/S13G/engineering-standards-plugin/main/install.sh | sh -s -- --global

💻 B. Windows PowerShell Installer (Windows)

Run the automated PowerShell installer via irm (Invoke-RestMethod):

# Local (Installs standards to the current directory)
irm https://raw.githubusercontent.com/S13G/engineering-standards-plugin/main/install.ps1 | iex

# Global (Installs to ~/.engineering-standards and configures global profiles)
irm https://raw.githubusercontent.com/S13G/engineering-standards-plugin/main/install.ps1 | iex -Arguments "-Global"

📦 C. Node.js & npm/npx Installer (Cross-platform)

You can run the installer instantly with npx, or install it globally with npm:

Option 1: Run instantly using npx

# Local (Installs standards to the current directory)
npx engineering-standards-plugin

# Global (Installs to ~/.engineering-standards and configures global profiles)
npx engineering-standards-plugin --global

Option 2: Install globally using npm

# Install globally on your system
npm install -g engineering-standards-plugin

# Run the installer in any project directory
engineering-standards

# Run globally to configure system-wide agent profiles
engineering-standards --global

Agent Compatibility Matrix

Once installed, standard files map directly to agent inputs:

| Agent | Entry point | Setup | |---|---|---| | Codex | AGENTS.md | Read automatically. Just have AGENTS.md + skills/ in the project. | | Cursor | .cursorrules | Read automatically once present in the project root. | | Gemini CLI | GEMINI.md | Read automatically; it points to AGENTS.md. | | Aider | AGENTS.md | Run with aider --read AGENTS.md. | | Claude Code | plugin (recommended) or CLAUDE.md | See below — the plugin adds automatic, progressive loading. | | Any other | AGENTS.md | Include it in the agent's context and ensure it can open reference/*.md on demand. |

Each root file (CLAUDE.md, GEMINI.md, .cursorrules) is a thin pointer to the single source of truth, AGENTS.md — edit AGENTS.md and every agent stays in sync.

Claude Code — install as a plugin (best experience)

Claude Code can load this as a true skill with progressive disclosure — it triggers itself on coding tasks and pulls in only the relevant domain file (no manual file copying):

/plugin marketplace add https://github.com/S13G/engineering-standards-plugin /plugin install engineering-standards@engineering-standards-marketplace

If you've already set up SSH access to GitHub on your machine, the shorthand S13G/engineering-standards-plugin also works in place of the full HTTPS URL.To make it an always-on default across every workspace, also reference it from your global ~/.claude/CLAUDE.md.


How it loads (and why it won't eat your context window)

The standard is built for progressive disclosure — it does not dump everything into context at once:

  • Always present: just the entry pointer / skill description (~150 tokens).
  • When a coding task is in play: the core universal laws load (~3k tokens).
  • Only when relevant: the agent opens a single domain reference file (~1.5–3k tokens each).

A typical backend task costs roughly 5–6k tokens total — a few percent of a 200k context window. The per-domain split means writing a database migration never loads the mobile or kernel docs.

On Claude Code this happens automatically via the skill engine. On other agents, the agent reads AGENTS.md (the laws) up front and opens a reference/<domain>.md file when the task calls for it — same lightweight, load-on-demand behavior, as long as the agent can read files.


Structure

engineering-standards-plugin/
├── AGENTS.md                 # source of truth: universal laws + review gate (agent-neutral)
├── CLAUDE.md                 # pointer → AGENTS.md (Claude Code fallback)
├── GEMINI.md                 # pointer → AGENTS.md (Gemini CLI)
├── .cursorrules              # pointer → AGENTS.md (Cursor)
├── .claude-plugin/
│   ├── plugin.json           # Claude Code plugin manifest
│   └── marketplace.json      # Claude Code marketplace entry
└── skills/
    └── engineering-standards/
        ├── SKILL.md          # Claude Code skill core (laws + auto-routing)
        └── reference/        # 13 on-demand per-domain deep-dives (shared by all agents)

AGENTS.md and skills/engineering-standards/SKILL.md carry the same universal laws; both route to the same reference/ files. Keeping the laws in two entry files (one agent-neutral, one Claude-skill) is the small, deliberate cost of supporting every agent — the 13 domain references are shared, never duplicated.


License

MIT — see LICENSE. Contributions and new domain references welcome.