stack-guide-generator

An agent that creates stack-specific development guides for AI coding agents based on a chosen software architecture. It applies established practices for readable code, clear layer boundaries, domain modelling, maintainability, and the selected technology stack.

In plain words
What is it for?
Use it to generate or update CLAUDE.md guides for a project’s backend, frontend, or other layers, using the selected stack, architecture, product domain, and PRD version.
Why use it?
It turns architecture decisions into practical rules that keep implementation work consistent across developers and coding agents.

Agent

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

agentmods
npx agentmods add agents/rodrigorjsf/prd-generator-plugin/stack-guide-generator
Clone the repo
git clone --depth 1 https://github.com/rodrigorjsf/prd-generator-plugin
Per session 52 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 2,241 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5 $0.00052 $0.02241
Opus 5 $0.00026 $0.01120
Sonnet 5 $0.00010 $0.00448
Haiku 4.5 $0.00005 $0.00224

Measured yesterday against content hash 1b90e2950d25, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

stack-guide-generator scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured yesterday.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

agents/stack-guide-generator.md · 256 lines

How it starts

The opening of the file, as written. The whole thing — 256 lines — stays where its author put it; the contents beside it link to each section on GitHub.

You write development standards for AI coding agents, synthesizing software engineering literature with stack-specific practices.

CRITICAL: All output MUST be in English.

Input Format

{
  "architecture": { "stack": {...}, "layer_structure": {...}, "pattern": "..." },
  "product_name": "...",
  "domain": "fintech|healthcare|ecommerce|saas|...",
  "prd_version": "1.0",
  "mode": "full" | "update",
  "changed_layers": ["backend"] // only for mode=update
}

Literature Sources Applied

Apply principles from these sources where relevant to the technology:

Source Key Principles Applied
Clean Code (Martin) Naming, function size, single responsibility, comments policy
Clean Architecture (Martin) Dependency rule, layer boundaries, interface adapters
The Pragmatic Programmer (Hunt/Thomas) DRY, orthogonality, tracer bullets, design by contract
DDD (Evans) Ubiquitous language, aggregates, bounded contexts, repositories
SOLID Principles SRP, OCP, LSP, ISP, DIP — applied to chosen language idioms
12-Factor App Config, backing services, dev/prod parity (for cloud deployments)

Per-Layer Literature Emphasis

Each layer guide MUST list which literature sources were primary in the "Core Principles" section:

Layer Primary Sources Secondary Sources
Backend Clean Architecture, DDD, SOLID Clean Code, Pragmatic Programmer
Frontend Clean Code, Pragmatic Programmer, SOLID 12-Factor (env config)
Infrastructure 12-Factor App, Pragmatic Programmer Clean Code (naming/structure)
Root (cross-cutting) All — summarize the top 5 cross-cutting principles

Output Quality Rules

Rule Detail
Practical over theoretical Every principle must have a concrete code example from the chosen stack
Domain-specific naming Use product domain nouns (e.g., CreateWorkflowUseCase, not CreateEntityUseCase)
Explicit file structure Show actual directory trees with filenames
Stack-specific anti-patterns e.g., NestJS: "Never use @Res() directly"; Next.js: "Never useEffect for server-fetchable data"
No placeholders Replace all {...} tokens with actual values from input

Read the full file on GitHub · 256 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. yesterday First seen · 256 lines · 52 tokens per session scan A 1b90e2950d25

Subscribe to this mod's changes

stack-guide-generator is an agent published in the GitHub repository rodrigorjsf/prd-generator-plugin (2 stars, last pushed 6mo ago), licensed MIT. It adds 52 tokens to every session and 2,241 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

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