A workflow for creating a Product Requirements Document, or PRD: a written description of a feature, its requirements, boundaries, and success measures.

Asking key clarification questions, writing a Markdown PRD, and saving it under a named task file without implementing the feature.

It turns an early feature idea into clear instructions that developers can understand and implement.

How adawalli/nexus configures Claude Code

Reuse

Borrowing it

Nothing to install: this file belongs to adawalli/nexus. 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/adawalli/nexus/main/.claude/skills/prd/SKILL.md

Clone the repo

git clone --depth 1 https://github.com/adawalli/nexus

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.

README.md

[![agentmods](https://agentmods.dev/badge/skills/adawalli/nexus/prd/github.svg)](https://agentmods.dev/skills/adawalli/nexus/prd)

Your own site

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

Per session 66 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 575 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. Third-party audits

NVIDIA SkillSpector pass 7 Sept 2026

How audits are shown

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	$0.00066	$0.00575
Opus 5.5	$0.00026	$0.00230
Sonnet 5.5	$0.00013	$0.00115
Haiku 4.5	$0.00007	$0.00057

Measured 2mo ago against content hash 0790f235ae90, 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.

.claude/skills/prd/SKILL.md · 75 lines

How it starts

The opening of the file, as written. The whole thing — 75 lines — stays where its author put it; the contents beside it link to each section on GitHub.

PRD Generator

Create clear, actionable Product Requirements Documents suitable for junior developers to understand and implement.

Workflow

Receive feature request - User describes a feature or functionality
Ask clarifying questions - 3-5 essential questions with lettered options
Generate PRD - Create structured document based on answers
Save PRD - Write to /tasks/prd-[feature-name].md

Important: Do NOT implement the feature. Only create the PRD document.

Step 1: Clarifying Questions

Ask only critical questions where the initial prompt is ambiguous. Skip questions when answers are reasonably inferable.

Question areas:

Problem/Goal - "What problem does this solve?"
Core Functionality - "What key actions should users perform?"
Scope/Boundaries - "What should this NOT do?"
Success Criteria - "How will we know it's successful?"

Format requirements:

Number questions (1, 2, 3)
Letter options (A, B, C, D) for each question
Enable responses like "1A, 2C, 3B"

Example:

1. What is the primary goal of this feature?
   A. Improve user onboarding experience
   B. Increase user retention
   C. Reduce support burden
   D. Generate additional revenue

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 expected scope?
   A. MVP - minimal viable implementation
   B. Full feature - complete functionality
   C. Iteration - enhance existing feature

Step 2: Generate PRD

After receiving answers, generate the PRD using the structure in references/prd-template.md.

Writing guidelines:

Write for junior developers - explicit, unambiguous, avoid jargon
Focus on "what" and "why", not "how"
Number all functional requirements
Keep requirements specific and testable

Step 3: Save PRD

Save to /tasks/prd-[feature-name].md

Use kebab-case for feature name (e.g., prd-user-authentication.md, prd-export-dashboard.md).

Read the full file on GitHub · 75 lines

Files

What ships with it

1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

references/prd-template.md 1.4 KB

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 · 75 lines · 66 tokens per session scan A 0790f235ae90

Subscribe to this mod's changes

prd is a skill published in the GitHub repository adawalli/nexus (21 stars, last pushed 16d ago), licensed MIT. It adds 66 tokens to every session and 575 once invoked, about $0.0003 per session on Opus 5.5. 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.

Planning Writing and docs

prd next to 6 skills from other repositories
Mod	Type	Stars	Last push	Licence	Scan	Tokens	Works with
prdadawalli/nexus	Skill	21	16d ago	MIT	A	66	Claude Code
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	yesterday	MIT	A	95	Claude Code
next-partial-prefetching-adoptionvercel/next.js	Skill	143k	yesterday	MIT	A	103	Claude Code

nexus: Skill for Claude Code