A process for turning an unclear product idea or project request into a structured product requirements document. A product requirements document records users, goals, scope, requirements, exclusions, and acceptance criteria.

Use it to clarify product goals and constraints, ask necessary questions, and create or refine docs/PRD.md.

It gives the team a shared description of what should be built before design or implementation begins.

prd — Skill for Claude Code and Codex by AlanHuang168

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.

Any agent

npx skills add AlanHuang168/AI-Project-Workflow --skill prd

Clone the repo

git clone --depth 1 https://github.com/AlanHuang168/AI-Project-Workflow

Made for: Claude Code, Codex.

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.

README.md

[![agentmods](https://agentmods.dev/badge/skills/alanhuang168/ai-project-workflow/prd.svg)](https://agentmods.dev/skills/alanhuang168/ai-project-workflow/prd)

Your own site

<a href="https://agentmods.dev/skills/alanhuang168/ai-project-workflow/prd"><img src="https://agentmods.dev/badge/skills/alanhuang168/ai-project-workflow/prd.svg" alt="Measured on agentmods" height="20"></a>

Per session 0 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 696 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.

Model	Per session	Once invoked
Fable 5.1	$0.00000	$0.00696
Opus 5	$0.00000	$0.00348
Sonnet 5	$0.00000	$0.00139
Haiku 4.5	$0.00000	$0.00070

Measured 8d ago against content hash e747f0797235, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-07, 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 8d 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.

adapters/catpaw/.catpaw/skills/prd/SKILL.md · 85 lines

How it starts

The opening of the file, as written. The whole thing — 85 lines — stays where its author put it; the contents beside it link to each section on GitHub.

name: prd description: Clarify users, context, goals, scope, non-goals, requirements, and acceptance criteria, then produce docs/PRD.md. Use when the user asks for product requirements or invokes /prd. version: 1.0.0 stage: prd

Goal

Turn unclear product or project input into a structured PRD that can be reviewed and accepted.

Use Cases

The user invokes /prd.
The user provides business context, a product idea, or a requirements draft.
The user asks to create or refine product requirements.

Preconditions

.ai-workflow/state.json exists.
init is complete unless the user explicitly approves a skip and the reason is recorded.
Do not move directly into architecture or implementation.

Required Context

AGENTS.md
.ai-workflow/state.json
core/rules/document-priority.md
core/templates/PRD.template.md
Existing docs/PRD.md, if present
User-provided requirement materials

Inputs

Project background, target users, use cases, feature ideas, and constraints.
If information is insufficient, ask up to five required clarification questions and wait for the user.

Allowed Changes

docs/PRD.md
.ai-workflow/state.json
Do not modify code.

Steps

Check workflow state and confirm that init is complete.
Read user input and existing docs/PRD.md, if present.
Clarify goals, users, use cases, scope, non-goals, acceptance criteria, and risks.
Rewrite requirements into a structured PRD. Do not copy raw notes without synthesis.
Assign P0/P1/P2 priority and map each P0 feature to a user story.
Cover performance, security, compatibility, maintainability, and usability requirements.
Write docs/PRD.md.
Update workflow state: documents.prd = "complete", add prd to completedStages, set currentStage = "hld", and update the timestamp.
If state update fails, do not report the stage as complete.

Outputs

Read the full file on GitHub · 85 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.

8d ago First seen · 85 lines · 0 tokens per session scan A e747f0797235

Subscribe to this mod's changes

prd is a skill published in the GitHub repository AlanHuang168/AI-Project-Workflow (28 stars, last pushed 1mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 696 tokens. 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.

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