Breakdown Feature Prd

🏢Official
by github · vlatest · Repository

This tool dissects complex product features into manageable tasks, boosting productivity and clarity for prioritization & execution.

Install on your platform

We auto-selected Claude Code based on this skill’s supported platforms.

1

Run in terminal (recommended)

terminal
claude mcp add breakdown-feature-prd npx -- -y @trustedskills/breakdown-feature-prd
2

Or manually add to ~/.claude/settings.json

~/.claude/settings.json
{
  "mcpServers": {
    "breakdown-feature-prd": {
      "command": "npx",
      "args": [
        "-y",
        "@trustedskills/breakdown-feature-prd"
      ]
    }
  }
}

Requires Claude Code (claude CLI). Run claude --version to verify your install.

About This Skill

What it does

The breakdown-feature-prd skill enables AI agents to analyze and break down feature requirements from product documentation (PRD) into structured, actionable components. It identifies key elements such as user stories, acceptance criteria, and technical specifications, making it easier for teams to understand and implement features.

When to use it

  • When parsing a new PRD document to extract clear feature definitions
  • During sprint planning to translate product requirements into development tasks
  • When onboarding new team members to quickly grasp the scope of a feature

Key capabilities

  • Parses PRD content for user stories and acceptance criteria
  • Identifies technical specifications and dependencies
  • Structures output in a format suitable for task management or documentation

Example prompts

  • "Break down this PRD into user stories and acceptance criteria"
  • "Extract the technical requirements from the feature description"
  • "Generate a structured summary of this product document"

Tips & gotchas

  • Ensure the input is a well-formatted PRD for best results.
  • The skill may struggle with ambiguous or incomplete documentation, so review its output carefully.

Tags

🛡️

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Details

Version
vlatest
License
Author
github
Installs
4.1k

🏢 Official

Published by the company or team that built the technology.