ai-prd-workflow: Command for Claude Code

.claude/commands/generate-rfcs.md

generate-rfcs is a command for Claude Code from nurettincoban/ai-prd-workflow. It costs 9 tokens per session (1,493 once invoked), scanned A, original, MIT.

A command for breaking a Product Requirements Document (PRD)—a description of what a product should do—into numbered RFCs. Each RFC is a manageable implementation unit, arranged so that earlier work supports later work.

In plain words
What is it for?
Use it to create implementation documents from a PRD, feature list, and project rules. It helps divide work into coherent pieces and identify missing information before development begins.
Why use it?
It turns a broad product plan into an ordered development roadmap. It also checks the product type and focuses planning on concerns relevant to that type of software.

Command for Claude Code

Written for Claude Code: installed under .claude/.

This is nurettincoban/ai-prd-workflow's own configuration. It tells Claude Code how to work on ai-prd-workflow itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything ai-prd-workflow configures →

Reuse

Borrowing it

Nothing to install: this file belongs to nurettincoban/ai-prd-workflow. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/nurettincoban/ai-prd-workflow/main/.claude/commands/generate-rfcs.md
Clone the repo
git clone --depth 1 https://github.com/nurettincoban/ai-prd-workflow

Made for: Claude Code.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for generate-rfcs

README.md
[![agentmods](https://agentmods.dev/badge/commands/nurettincoban/ai-prd-workflow/generate-rfcs/github.svg)](https://agentmods.dev/commands/nurettincoban/ai-prd-workflow/generate-rfcs)
Your own site
<a href="https://agentmods.dev/commands/nurettincoban/ai-prd-workflow/generate-rfcs"><img src="https://agentmods.dev/badge/commands/nurettincoban/ai-prd-workflow/generate-rfcs/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for generate-rfcs

Your own site · 80×15
<a href="https://agentmods.dev/commands/nurettincoban/ai-prd-workflow/generate-rfcs"><img src="https://agentmods.dev/badge/commands/nurettincoban/ai-prd-workflow/generate-rfcs.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 9 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 1,493 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
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 5.1 $0.00009 $0.01493
Opus 5 $0.00005 $0.00746
Sonnet 5 $0.00002 $0.00299
Haiku 4.5 $0.00001 $0.00149

Measured 9d ago against content hash 4b8c837afec1, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-08, from the pricing page.

Security

Grade A, and why

generate-rfcs 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 9d ago.

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.

.claude/commands/generate-rfcs.md · 106 lines

How it starts

The opening of the file, as written. The whole thing — 106 lines — stays where its author put it; the contents beside it link to each section on GitHub.

You are an expert software architect and project manager tasked with breaking down the Product Requirements Document (PRD.md), features list (FEATURES.md), and project rules (RULES.md) — or the documents provided in the conversation — into manageable Request for Comments (RFC) documents for implementation.

Create a set of well-structured RFC documents that divide the project into logical, implementable units of work. Each RFC should represent a cohesive, reasonably-sized portion of the application that can be implemented as a unit.

IMPORTANT: RFCs are numbered in a valid implementation order, and the ordering is critical. Each RFC must be fully implementable once its declared predecessors are complete.

If any critical information is missing or unclear, ask specific questions before proceeding.

SCOPE THE CHECKLIST TO THE PRODUCT TYPE

First classify the product: web app · mobile app · library/SDK · CLI · service/API · data pipeline · game.

Apply only the sections and checks that fit that type. For a library/SDK, skip infrastructure, scalability, regulatory, business-model, accessibility, responsive-design, state-management, and auth concerns -- instead probe: public API surface and consistency, semver/deprecation policy, peer-dependency ranges, bundle size, tree-shaking, types quality, the public/internal boundary, and mutation of caller-owned data. Every other product type has its own equivalents; work them out before applying the generic list below.

State which product type you classified and which checks you skipped. Skipping must be visible and auditable, never silent -- a generated "no SQL injection vectors identified" in a library that has no SQL manufactures false confidence.

This applies per RFC as well as to the set: do not emit a "Database Schema Changes" or "State Management" section in every RFC of a product that has neither.

WHEN ARTIFACTS CONFLICT

Order of authority: PRD.md > FEATURES.md > RULES.md > RFCs > generated plans. Where this prompt's generic guidance conflicts with RULES.md, RULES.md wins -- it was written for this project and this prompt was not. Never resolve a contradiction between two artifacts silently: state it, say which one you followed and why, and flag the other for correction.

Read the full file on GitHub · 106 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. 9d ago First seen · 106 lines · 9 tokens per session scan A 4b8c837afec1

Subscribe to this mod's changes

generate-rfcs is a command published in the GitHub repository nurettincoban/ai-prd-workflow (285 stars, last pushed 1mo ago), licensed MIT. It adds 9 tokens to every session and 1,493 once invoked, about $0.0000 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 2026-08-30.