PRD Driven Context Engineering — DevOps skill for Claude Code
PRD-Led Context Engineering — Memory as Infrastructure.
How to install PRD Driven Context Engineering
This entry records only its repository, not the path inside it, so there is no
exact command to give. Open Ogawa540/PRD-driven-context-engineering and copy the folder into
~/.claude/skills/, or the file into ~/.claude/agents/.
What PRD Driven Context Engineering does
PRD-Led Context Engineering — Memory as Infrastructure. An ontology layer for product teams building products that solve real problems — with AI agents that remember. Gated PRD, typed IDs, markdown knowledge graph, Claude Code skills & hooks.
Alternatives in DevOps
- Kubeshark — Cluster-wide network observability for Kubernetes 11.8k ★
- Claudable — Claudable is an open-source web builder that leverages local CLI agents, such as Claude Code, Codex, Gemini CL 4k ★
- Datachain — The Context Layer for unstructured data: typed, versioned datasets over S3, GCS, Azure 2.8k ★
README
PRD-Led Context Engineering
Memory as Infrastructure — an operating system for building products with AI agents
[](https://github.com/mattgierhart/PRD-driven-context-engineering/stargazers) [](LICENSE) [](#contributing) [](.claude/)
*Your AI partner is brilliant in one session and amnesiac by the next. This repository is the fix: a fork-ready methodology that turns documentation into a knowledge graph humans and AI navigate together — so the 50th session is smarter than the 1st.*
[**Quick Start**](#-quick-start) · [**The Idea**](#the-idea-memory-as-infrastructure) · [**The Lifecycle**](#-feature-the-progressive-prd) · [**The Skills**](#-feature-47-skills-one-for-every-decision) · [**Live Demo Views**](#-feature-the-human-review-layer)
**⭐ If this changes how you build with AI, [star the repo](https://github.com/mattgierhart/PRD-driven-context-engineering/stargazers) — stars put this method in front of the next team drowning in context drift.**
The Problem: AI forgets. Teams drift.
Every era of software solved memory its own way — and broke it its own way:
- Waterfall had Static Memory. Write everything down upfront: certainty, at the cost of change.
- Agile moved fast and created Fragmented Memory. Knowledge scattered across tickets, wikis, and chats; shared understanding evaporated.
- AI-assisted building adds a third failure: Amnesiac Memory. The model that architected your system y
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