product-knowledge

Name: product-knowledge
Availability: InStock
Author: vivekmano27

Generate a Markdown product knowledge base with YAML frontmatter.

Updated Mar 14, 2026

Search Tags:#template #architecture #documentation #onboarding #product #knowledge-base

Ready to run

npx skills add https://github.com/Vivekmano27/agent-orchestrator --skill product-knowledge

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: product-knowledge
Source: https://github.com/Vivekmano27/agent-orchestrator/tree/main/plugins/project-orchestrator/skills/product-knowledge
Command: npx skills add https://github.com/Vivekmano27/agent-orchestrator --skill product-knowledge

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Centralizes domain knowledge for agents building the product, reducing miscommunication and ensuring a single source of truth for features, architecture, and business rules.

Core Features & Use Cases

Template-based knowledge base: Provides a ready-to-fill structure for project-specific product details, architecture decisions, and user flows.
Reference for all agents: Ensures consistent context by publishing a single source of truth that agents consult during development and debugging.
Lifecycle guidelines: Includes instructions for updating product knowledge as rules, features, and flows evolve.

Quick Start

Copy this template to .claude/specs/product-knowledge.md and fill in project-specific content.

Frequently Asked Questions about product-knowledge

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I create a product knowledge base that AI agents can reference during development?▼

You can create a product knowledge base by copying a template into .claude/specs/product-knowledge.md, filling in project-specific details like architecture decisions and user flows, and letting agents reference this single source of truth during development and debugging.

What is the best way to maintain a living knowledge base as product features and business rules evolve?▼

Maintain a living knowledge base by following lifecycle guidelines that instruct you to update the Markdown file as rules, features, and flows evolve, keeping the agent reference document current.

How do I ensure all my AI agents share consistent context about product architecture and user flows?▼

Ensure consistent agent context by publishing a single source of truth knowledge base that centralizes product architecture, user flows, and business rules, which all agents consult during development and debugging tasks.

Does this product knowledge template require any specific dependencies or framework setup?▼

No dependencies are required to use the product knowledge template; you simply copy the template structure into a Markdown file with YAML frontmatter containing name and description fields, and fill in your project-specific content.

When do I need to generate a Markdown knowledge base for my product context?▼

You need to generate a Markdown knowledge base when multiple agents require shared domain context for features, architecture, and business logic, reducing miscommunication by providing a ready-to-fill structure for project-specific product details.