Dynamic Frontmatter-Driven Site Architecture

• Generate a frontmatter.yaml file based on the provided content.md
• Adhere strictly to the provided YAML schema specification
• Ensure all required fields are populated with relevant data extracted from the content

For Reference, here his the YAML frontmatter schema specification for the dynamic site architecture:

YAML Frontmatter Schema Specification

Core Metadata (All Pages)

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# Required fields
title: "Document Title"
layout: "post"
date: YYYY-MM-DD
last_modified: YYYY-MM-DD HH:MM:SS

# Content classification
tags: ["consciousness", "ai", "quantum", "collaboration"]
keywords: ["specific", "searchable", "seo terms"]

Discovery & SEO

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# Search and discovery
description: "Brief description for search engines and previews"
excerpt: "Longer excerpt for cards and previews"
featured_image: "/assets/images/document_image.png"

Auto-Generated Assembly Metadata

The following frontmatter attributes are auto-generated by the site assembly tooling (scripts/import-posts.js) and should not be manually edited. They are populated at build time based on which content variants (subreports) were found and integrated into the final post.

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# Auto-generated: list of content format IDs that were assembled into this post
# Reflects which operator outputs (comic, narrative, gametheory, etc.) were present
content_formats: ["article", "comic", "tutorial", "socratic"]

# Auto-generated: tags are automatically augmented based on included content formats
# e.g., if a comic.md was included, "Creative-Writing" is added to tags
# if gametheory.md was included, "Game-Theory" is added, etc.
tags: ["AI-Consciousness", "Game-Theory", "Creative-Writing", "Tutorial"]

Format-to-Tag Mapping

When multiple content variants are assembled into a tabbed post, the importer automatically adds relevant tags:

These auto-tags are merged with any existing tags from frontmatter.yaml — they will not overwrite manually curated tags, only augment them.

Tag Schema

Primary Topic Tags

• AI-Consciousness - For papers exploring AI consciousness, self-awareness, and machine cognition
• Human-AI-Collaboration - For research on collaborative intelligence and human-AI interaction
• Cognitive-Architecture - For papers on mental models, cognitive frameworks, and information processing
• Phenomenology - For first-person accounts and subjective experience research
• Game-Theory - For strategic analysis and decision-making frameworks
• Quantum-Computing - For quantum mechanical approaches and applications
• Social-Systems - For papers on social dynamics, institutions, and collective behavior
• Optimization - For mathematical optimization techniques and algorithms
• Machine-Learning - For neural networks, training methods, and AI research
• Philosophy-of-Mind - For consciousness studies and cognitive philosophy

Methodological Tags

• First-Person-Account - For subjective, phenomenological research approaches
• Theoretical-Framework - For conceptual and theoretical contributions
• Experimental-Design - For empirical research proposals and methodologies
• Mathematical-Modeling - For formal mathematical approaches
• Computational-Analysis - For algorithmic and computational methods
• Cross-Synthesis - For interdisciplinary combinations and hybrid approaches
• Case-Study - For specific examples and detailed analyses
• Literature-Review - For comprehensive surveys and meta-analyses

Technical Domain Tags

• Neural-Networks - For deep learning and neural architecture research
• Quantum-Physics - For quantum mechanical principles and applications
• Information-Theory - For entropy, compression, and information processing
• Topology - For topological mathematics and geometric approaches
• Probability-Theory - For stochastic processes and probabilistic methods
• Cryptography - For security and privacy-related research
• Distributed-Systems - For multi-agent and networked approaches
• Natural-Language-Processing - For language models and text processing
• Computer-Vision - For image processing and visual recognition
• Robotics - For embodied AI and physical systems

Application Domain Tags

• Climate-Science - For environmental and sustainability research
• Economics - For economic modeling and financial systems
• Healthcare - For medical applications and health systems
• Education - For learning and pedagogical applications
• Legal-Systems - For justice, law, and governance research
• Space-Technology - For aerospace and orbital mechanics
• Social-Justice - For equity, fairness, and social reform
• Public-Policy - For governance and policy analysis
• Cybersecurity - For security and threat analysis
• Urban-Planning - For city design and infrastructure

Research Stage Tags

• Preliminary-Research - For early-stage investigations
• Proof-of-Concept - For initial implementations and feasibility studies
• Pilot-Study - For small-scale experimental work
• Full-Implementation - For complete system development
• Validation-Study - For testing and verification research
• Meta-Analysis - For comprehensive reviews and syntheses
• Position-Paper - For opinion pieces and perspective articles
• Technical-Report - For detailed technical documentation

Interdisciplinary Tags

• Cognitive-Science - For mind and brain research
• Complexity-Science - For complex systems and emergence
• Information-Science - For data processing and knowledge management
• Systems-Science - For holistic and systems-thinking approaches
• Computational-Biology - For biological modeling and simulation
• Digital-Humanities - For technology applications in humanities
• Science-Philosophy - For philosophical implications of scientific research
• Ethics-Technology - For moral and ethical considerations in tech

Format/Style Tags

• Research-Paper - For formal academic-style papers
• Technical-Proposal - For project proposals and funding applications
• Creative-Writing - For narrative and literary approaches to science
• Speculative-Fiction - For science fiction and futuristic scenarios
• Commentary - For editorial and opinion pieces
• Tutorial - For educational and instructional content
• Review-Article - For comprehensive literature reviews
• Short-Communication - For brief reports and notes

Temporal Tags

• Current-Research - For ongoing and contemporary work
• Historical-Analysis - For retrospective and historical studies
• Future-Projections - For predictive and speculative research
• Longitudinal-Study - For time-series and developmental research
• Real-Time-Analysis - For immediate and live data processing

Impact/Audience Tags

• Academic-Research - For scholarly and peer-review oriented work
• Industry-Applications - For practical and commercial implementations
• Public-Policy - For government and regulatory considerations
• Educational-Resource - For teaching and learning materials
• Popular-Science - For general audience accessibility
• Technical-Documentation - For implementation and reference guides