docs-ai-prd

Generate AI-friendly PRDs by using agent-oriented templates that structure functional and technical requirements in formats Claude and other coding agents can parse and act on directly. This Skill provides PRD templates designed specifically for agentic workflows, reducing context overhead and improving agent comprehension of project goals.

A CLAUDE.md context file documents architecture, coding conventions, and tribal knowledge that helps AI assistants understand your project's structure and patterns. This Skill generates CLAUDE.md scaffolding that captures these conventions, enabling faster agent onboarding and more consistent code generation aligned with your codebase style.

Use agentic-session planning templates to map out agent responsibilities, input/output formats, and success criteria before execution. This Skill provides planning templates that help you design agent workflows upfront, reducing iteration cycles and clarifying handoffs between planning and implementation phases.

These templates are format-agnostic and designed to integrate into your workflow—whether you're working with markdown, docs platforms, or AI-native tools. The Skill focuses on generating machine-readable specs and CLAUDE.md context that complement your existing processes without requiring tool switches.

AI-friendly PRDs explicitly structure requirements, context, and constraints in formats agents can reliably parse and reason about. Unlike traditional specs written for human readers, these prioritize clarity of functional and technical boundaries, reducing ambiguity that causes agent hallucination or misaligned implementations.

No—the templates guide you through structuring requirements and context in agent-compatible ways. This Skill works whether you're new to agentic workflows or scaling existing ones; the templates handle the formatting and structure, so you focus on capturing accurate project details.