📝 Design doc template & examples for machine learning systems (requirements, methodology, implementation, etc.)

A lean product design process in markdown that enables cross-functional teams to take an idea from napkin to scale by prioritizing learnings to produce customer-centered solutions.

Reverse-engineered design documents for Anthropic Claude Code CLI - implementation-ready specifications

An AI thinking partner that pushes back — Claude Code plugin port of Microsoft's Clarity Agent (MIT)

A curated collection of complete, decision-driven design documents for software project ideas. Each document is a full architectural plan — written before any code exists — covering the problem, the system, every technology decision with its reasoning, security posture, failure modes, scalability ceiling, and honest limitations.

Opiniated CouchDB databases initializer

Spec-driven development for Claude Code. Design docs before code, structured pipeline with quality gates, zero infrastructure.

Claude Code plugin: a PRD/TDD/ADR design-doc pipeline with phase-gate PRs, an independent design-critique gate, toolchain bootstrap, and gated unattended implementation (failing-test-first + verify + cross-model review, one PR per TDD).

My draw.io Repository

Valuable Ideas — 开源设计想法、架构方案与技术栈探索（ASR / PPTWork / Agent Harness）

Docs-only case study: scalable system architecture blueprint with clear boundaries, deterministic data flow, and production-grade operations.

SNIN V5 — Architecture & specification hub. Umbrella repo for the SNIN protocol: NIPs, RFCs, design docs, integration specs. Code lives in relay-mesh.

Design Docs を作成するためのツールとサンプル・テンプレートとなるDocs

Turn RAG system evolution into solution packages you can review, port - and reject. Two independently adoptable design packages (knowledge compilation / governed improvement), 40 claims with evidence coordinates, contracts, governance gates, D0-D5 handoff. Docs only: no runtime code, no unverified benefit numbers.

Detailed engineering design templates and worked examples — the layer between spec-kit's plan.md and tasks.md

Agent skill for turning product ideas into structured design plans, staged visual drafts, and formal design documents.

AI-driven universal manufacturing system concept — from user idea to mass production, fully automated.

Living documents for humans and coding agents: versioned Markdown, deterministic HTML, visual diffs, and anchored review comments.

Architecture, safety charter, quickstart, and philosophy for Starshard — a substrate for multi-agent personal AI where user-owned memory is the primary layer and agents are peripherals.

Platform architecture and design-document backup with paid review links for Kubernetes, cloud, OPC/WinCC, monitoring, and handoff risk.