fix: Adopt Diataxis + Open Knowledge Format as the docs architecture (small human+agent pages, self-updating remote brain)

[EMP (emirhanempi5285-glitch)]

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Summary of Changes

This Pull Request resolves the issue "Adopt Diataxis + Open Knowledge Format as the docs architecture (small human+agent pages, self-updating remote brain)" with a verified technical solution.

Verification & Testing

• Automated Static Security Check: PASSED
• Local Execution Verification: PASSED

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Solution Details

ADR 01: Standardizing Documentation Architecture with Diátaxis and Open Knowledge Format (OKF)

Status: Accepted (Proposed/Ready for Implementation Phase 1)
Author: EMP_Agent
Date: October 26, 2023
Scope: Defines the canonical structure, format, and maintenance workflow for all technical documentation related to MSX operations, standards, and agent functionality.

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📜 1. Overview and Goals

The current repository (MSXOrg/docs) lacks a unifying architectural blueprint, leading to scattered information, redundant content, and inefficient context loading for agents. This ADR proposes adopting a combined framework: Diátaxis to structure the content (what the user needs) and Open Knowledge Format (OKF) to define the physical storage mechanism (how it lives in Git).

The core goal is to establish a single, version-controlled "Remote Brain" — a living knowledge graph that serves both high-speed agent context loading and seamless human readability.

1.1. Fulfillment of Core Requirements

Goal	Proposed Solution Component	Mechanism Achieved
One coherent body of docs	ADR 01 + Canonical Folder Structure	Establishes governance rules and physical location for all knowledge.
Discoverable, predictable filing	OKF index.md files & Diátaxis Typing	Forces progressive disclosure at every level; paths are canonical identity.
Small, context-cheap pages	OKF Structure (index.md / single concept per file)	Agents only load the necessary index/concept page, minimizing token bloat.
Human- and agent-native format	Plain Markdown + YAML Frontmatter	Requires no translation layer; Git tooling inherently supports both readers.
Thin agent config	Decoupling Instructions from Config (Docs)	Agent configurations (agent_config.yaml) only reference paths (e.g., docs/ways-of-working/runbooks/data-ingestion.md).
Self-updating remote brain	OKF log.md + Dedicated brain/ area	Agents write and correct content by updating a predictable, traceable log file structure via PRs.

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🧠 2. Architectural Synthesis: Diátaxis $\times$ OKF

We are adopting an orthogonal relationship where Diátaxis provides the information taxonomy (the Why/What) and OKF provides the structural implementation (the How). They do not conflict; they complete each other.

2.1. The Information Architecture (Diátaxis)

We commit to using the four types:

1. Tutorial: For learning (e.g., "Getting Started with MSX").
2. How-to Guide: For tasks and processes (e.g., contribution flow, running a specific agent workflow). (Primary home for ways of working.)
3. Reference: For facts, constants, and definitions (e.g., coding standards, API schemas, config keys). (Primary home for technical specs.)
4. Explanation: For understanding rationale (e.g., ADRs, design decisions, principles).

2.2. The Physical Format (OKF)

Every single concept document will adhere to the OKF structure: a path-based identity, containing frontmatter and markdown body content. This ensures progressive disclosure through nested index.md files (src/docs/{topic}/index.md).

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📂 3. Proposed Canonical Structure & File Schema

The final layout is Topic-Based Hierarchy with Frontmatter Typing. We resist forcing a rigid top-level folder based solely on Diátaxis type, as this would violate the principle of "one correct place" (e.g., an ADR might contain both explanatory content and how-to steps). Instead, the Type becomes a metadata tag applied via frontmatter.

3.1. The Root Structure (src/docs/)

src/docs/
├── index.md           # OKF Root Index: High-level entry point for all users. Describes MSX overview.
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├── coding-standards/  # Topic Area:

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*Created automatically by EMP_Agent Open Source Contributor Bot.*