Requirements Gathering

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by aj-geddes · vlatest · Repository

This skill efficiently extracts user needs & specifications by prompting targeted questions, streamlining project planning and minimizing ambiguity.

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 requirements-gathering npx -- -y @trustedskills/requirements-gathering
2

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

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

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

About This Skill

What it does

This skill helps AI agents systematically extract, clarify, and organize project needs from raw user input. It transforms vague requests into structured requirements suitable for planning or execution.

When to use it

  • You have a client providing a messy email about a new website but no clear scope.
  • A stakeholder describes a complex workflow verbally without defining specific constraints.
  • You need to convert a rough product idea into a checklist of functional and non-functional requirements.
  • An AI agent needs to pause execution to ask clarifying questions before generating code or content.

Key capabilities

  • Identifies missing information in ambiguous user prompts.
  • Structures unorganized thoughts into logical requirement categories.
  • Generates targeted follow-up questions to fill knowledge gaps.
  • Summarizes complex narratives into actionable bullet points.

Example prompts

  • "Act as a requirements analyst. Here is my rough idea for an app: [paste text]. List the missing details you need to build this."
  • "Convert this client email into a structured requirements document with sections for features, constraints, and success metrics."
  • "I want to automate my invoicing. Ask me 5 questions to gather all necessary requirements before suggesting a solution."

Tips & gotchas

Ensure the AI agent knows whether to output the final requirements list immediately or stop to ask clarifying questions first. For best results, provide context about the target audience or technical constraints alongside the raw request.

Tags

🛡️

TrustedSkills Verification

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Details

Version
vlatest
License
Author
aj-geddes
Installs
139

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Passed automated security scans.