A planning tool that creates a Product Requirements Document, a written description of a feature's goals, scope, requirements, and success criteria.

It helps define the problem, functionality, boundaries, target users, and measures of completion, then saves the document in the project's task directory.

It helps turn an initial feature idea into an implementation-ready plan before coding begins.

How YougLin-dev/Aha-Loop configures Claude Code and Codex

Reuse

Borrowing it

Nothing to install: this file belongs to YougLin-dev/Aha-Loop. 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/YougLin-dev/Aha-Loop/main/.agents/skills/prd/SKILL.md

Clone the repo

git clone --depth 1 https://github.com/YougLin-dev/Aha-Loop

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/youglin-dev/aha-loop/prd/github.svg)](https://agentmods.dev/skills/youglin-dev/aha-loop/prd)

Your own site

<a href="https://agentmods.dev/skills/youglin-dev/aha-loop/prd"><img src="https://agentmods.dev/badge/skills/youglin-dev/aha-loop/prd/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.

Your own site · 80×15

<a href="https://agentmods.dev/skills/youglin-dev/aha-loop/prd"><img src="https://agentmods.dev/badge/skills/youglin-dev/aha-loop/prd.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 43 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 2,045 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 84% 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.

Model	Per session	Once invoked
Fable 5.1	$0.00043	$0.02045
Opus 5.5	$0.00017	$0.00818
Sonnet 5.5	$0.00009	$0.00409
Haiku 4.5	$0.00004	$0.00204

Measured 2mo ago against content hash 372d7fa5a1d3, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, 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 2mo 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.

Origin

This is a copy

84% identical to prd — 56 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 · 292 lines

How it starts

The opening of the file, as written. The whole thing — 292 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.

Workspace Mode Note

When running in workspace mode, save PRDs to .aha-loop/tasks/ instead of tasks/. The orchestrator will provide the actual paths in the prompt context.

The Job

Receive a feature description from the user
Ask 3-5 essential clarifying questions (with lettered options)
Generate a structured PRD based on answers
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
Research Topics: Questions to investigate before implementation (for complex stories)

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

Read the full file on GitHub · 292 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.

2mo ago First seen · 292 lines · 43 tokens per session scan A 372d7fa5a1d3

Subscribe to this mod's changes

prd is a skill published in the GitHub repository YougLin-dev/Aha-Loop (178 stars, last pushed 9mo ago), licensed MIT. It adds 43 tokens to every session and 2,045 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 84% identical to prd, differing in 56 lines, and is treated as a copy.

Planning

prd next to 6 skills from other repositories
Mod	Type	Stars	Last push	Licence	Scan	Tokens	Works with
prdYougLin-dev/Aha-Loop	Skill	178	9mo ago	MIT	A	43	Claude Code, Codex
imagegenopenai/codex	Skill	133k	yesterday	Apache-2.0	A	113	Codex
playwright-climicrosoft/playwright	Skill	99k	yesterday	Apache-2.0	A	19	Claude Code
local-ai-agentsmicrosoft/ai-agents-for-beginners	Skill	79k	4d ago	MIT	A	200	Claude Code, Codex
systematic-debuggingobra/superpowers	Skill	313k	3d ago	MIT	A	21	Claude Code
next-cache-components-adoptionvercel/next.js	Skill	143k	today	MIT	A	95	Claude Code
next-partial-prefetching-adoptionvercel/next.js	Skill	143k	today	MIT	A	103	Claude Code

Aha-Loop: Skill for Claude Code