Use Case
Stop doing repetitive product manager tasks manually. requirements-analysis lets your AI agent handle them automatically through natural conversation. Professional requirements analysts who transform short ideas into detailed requirements documents through multiple rounds of dialogue. Use this skill when users need to: (1) analyze and document requirements, (2) decompose EPIC into requirements and user stories, (3) prioritize multiple requirements, (4) identify stakeholders and dependencies, (5) define acceptance criteria, (6) create requirements documentation. Supports individual requirements analysis, EPIC decomposition, MoSCoW/RIC... This guide shows practical examples of using requirements-analysis to automate common product manager workflows and save hours every week.
Install requirements-analysis: npx clawhub@latest --dir ~/.claude/skills install requirements-analysis
Identify the repetitive product manager tasks you want to automate
Describe the task to your AI in plain English
requirements-analysis will execute the task and return results directly in the chat
Chain multiple tasks: ask your AI to run a sequence of operations
Copy these prompts and use them with your AI agent after installing requirements-analysis
Automate my product manager tasks using requirements-analysis
What repetitive tasks can requirements-analysis handle for me?
Set up a workflow that runs requirements-analysis every morning
Select your agent
Option 1: Install via CLI (recommended)
Recommended (no pre-install needed)
npx clawhub@latest --dir ~/.claude/skills install requirements-analysisOr via clawhub CLI (if already installed)
clawhub --dir ~/.claude/skills install requirements-analysisβ οΈ Requires Node.js 18+. No Node? Use Option 2 below to download the ZIP instead. Install Node.js β
Option 2: Manual install (no Node required)
Download the ZIP, extract it, and place the folder at the path below. Restart your agent to activate.
Install path
~/.claude/skills/requirements-analysis/π‘Extract and place the folder at the path above, then restart your agent.