agent-team-prd

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Published: Jan 26, 2026 License: MIT

README

Product Requirements Agent Team

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CLI and AI assistant integrations for creating, validating, scoring, and managing Product Requirements Documents.

Features

  • Structured PRDs: JSON-based schema for consistent, machine-readable documents
  • Quality Scoring: Automated rubric-based scoring across 10 categories
  • Multiple Views: PM-focused and Executive summary views
  • AI Integration: Claude Code (MCP) and Kiro IDE (Power) support
  • Validation: Schema validation, ID format checking, traceability verification

Quick Start

# Install
go install github.com/agentplexus/agent-team-prd/cmd/prdtool@latest

# Create a PRD
prdtool init --title "User Authentication" --owner "Jane PM"
prdtool add problem --statement "Users cannot securely access accounts"
prdtool add goal --statement "Reduce password tickets by 50%"
prdtool add req --description "Support OAuth 2.0 login" --priority must

# Validate and score
prdtool validate
prdtool score

AI Assistant Integration

# Claude Code
prdtool deploy --target claude

# Kiro IDE
prdtool deploy --target kiro-power --output ~/.kiro/powers/prdtool

Documentation

Full documentation: https://agentplexus.github.io/agent-team-prd/

Build from Source

git clone https://github.com/agentplexus/agent-team-prd.git
cd agent-team-prd
go build -o bin/prdtool ./cmd/prdtool
go build -o bin/prdtool-mcp ./cmd/prdtool-mcp

License

MIT

Directories

Path Synopsis
cmd
prdtool command
prdtool-mcp command
Package main provides an MCP server that exposes prdtool operations as tools.
Package main provides an MCP server that exposes prdtool operations as tools.
pkg
prd
Package prd provides types and operations for Product Requirements Documents.
Package prd provides types and operations for Product Requirements Documents.
scoring
Package scoring provides PRD quality scoring based on the official rubric.
Package scoring provides PRD quality scoring based on the official rubric.
views
Package views generates human-readable projections from canonical PRDs.
Package views generates human-readable projections from canonical PRDs.

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