prd

A generator for Product Requirements Documents, or PRDs: written specifications that describe what a new feature should do and how its success will be judged.

In plain words
What is it for?
Use it when planning a feature or project to create a PRD in the specified tasks directory; it does not implement the feature.
Why use it?
It turns an initial idea into a clear implementation brief by resolving essential questions about goals, users, scope, and success criteria.

Skill for Claude CodeCodex

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 skills/reflexioai/reflexio/prd
Any agent
npx skills add ReflexioAI/reflexio --skill prd
Clone the repo
git clone --depth 1 https://github.com/ReflexioAI/reflexio

Made for: Claude Code, Codex.

Per session 60 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,671 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin 92% copy Near-identical to another mod 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 $0.00060 $0.01671
Opus 5 $0.00030 $0.00835
Sonnet 5 $0.00012 $0.00334
Haiku 4.5 $0.00006 $0.00167

Measured yesterday against content hash 7b9193cd12b6, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

prd 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.

Origin

This is a copy

92% identical to prd — 13 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

.agents/skills/prd/SKILL.md · 241 lines

How it starts

The opening of the file, as written. The whole thing — 241 lines — stays where its author put it; the contents beside it link to each section on GitHub.

PRD Generator

Create detailed Product Requirements Documents that are clear, actionable, and suitable for implementation.


The Job

  1. Receive a feature description from the user
  2. Ask 3-5 essential clarifying questions (with lettered options)
  3. Generate a structured PRD based on answers
  4. Save to tasks/prd-[feature-name].md

Important: Do NOT start implementing. Just create the PRD.


Step 1: Clarifying Questions

Ask only critical questions where the initial prompt is ambiguous. Focus on:

  • Problem/Goal: What problem does this solve?
  • Core Functionality: What are the key actions?
  • Scope/Boundaries: What should it NOT do?
  • Success Criteria: How do we know it's done?

Format Questions Like This:

1. What is the primary goal of this feature?
   A. Improve user onboarding experience
   B. Increase user retention
   C. Reduce support burden
   D. Other: [please specify]

2. Who is the target user?
   A. New users only
   B. Existing users only
   C. All users
   D. Admin users only

3. What is the scope?
   A. Minimal viable version
   B. Full-featured implementation
   C. Just the backend/API
   D. Just the UI

This lets users respond with "1A, 2C, 3B" for quick iteration.


Step 2: PRD Structure

Generate the PRD with these sections:

1. Introduction/Overview

Brief description of the feature and the problem it solves.

2. Goals

Specific, measurable objectives (bullet list).

3. User Stories

Each story needs:

  • Title: Short descriptive name
  • Description: "As a [user], I want [feature] so that [benefit]"
  • Acceptance Criteria: Verifiable checklist of what "done" means

Each story should be small enough to implement in one focused session.

Format:

### US-001: [Title]
**Description:** As a [user], I want [feature] so that [benefit].

**Acceptance Criteria:**
- [ ] Specific verifiable criterion
- [ ] Another criterion
- [ ] Typecheck/lint passes
- [ ] **[UI stories only]** Verify in browser using agent-browser skill

Read the full file on GitHub · 241 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 · 241 lines · 60 tokens per session scan A 7b9193cd12b6

Subscribe to this mod's changes

prd is a skill published in the GitHub repository ReflexioAI/reflexio (338 stars, last pushed 2d ago), licensed Apache-2.0. It adds 60 tokens to every session and 1,671 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. It is 92% identical to prd, differing in 13 lines, and is treated as a copy.

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