skill_template_skill

Overview

This skill codifies a PRD-driven context engineering workflow for building AI-powered products. It guides teams through progressive documentation, structured output templates, and quality gates to produce validated context artifacts for downstream development.

How this skill works

The skill walks users through three core steps: define and capture product requirements, populate a reusable output template, and run quality gates and testability checks. It produces a structured output template (field definitions, evidence, and validation steps) and a pass/fail checklist that can be consumed by implementation and handoff workflows.

When to use it

• Starting a new AI product or feature to ensure requirements translate into usable context
• Preparing contextual artifacts for model prompting, fine-tuning, or retrieval augmentation
• Aligning cross-functional teams (product, engineering, design) on concrete deliverables
• Auditing existing product docs to find gaps before development
• Handoff from product discovery to implementation and testing

Best practices

• Keep the core output template concise and machine-readable for downstream automation
• Capture validation evidence and IDs that map to specs or tests
• Use the quality gate checklist as acceptance criteria for sprints or PRs
• Avoid embedding implementation details inside the PRD-level context; keep it product-focused
• Iterate the template based on feedback from engineers and model evaluations

Example use cases

• Create a context package for a new conversational agent including intent definitions and test prompts
• Generate validated feature specs that feed into prompt engineering and retrieval layers
• Audit an existing feature to produce missing evidence and test cases before deployment
• Standardize handoff artifacts between product and developer teams for faster implementation