# Markitect Tool Product Requirements Document V0.1

## markitect-tool

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## 1. Product Overview

### 1.1 Product Name

**markitect-tool** (`markitect`, CLI alias: `mkt`)

### 1.2 Product Definition

markitect-tool is a **markdown-native toolkit and CLI** that transforms semi-structured markdown into **structured, queryable, and reusable knowledge artifacts**.

It provides a **contract layer between markdown and structured knowledge operations**, enabling deterministic and LLM-assisted workflows without binding consumers to specific tools, formats, or providers.

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## 2. Product Intent

### 2.1 Problem Statement

Markdown is widely used but suffers from:

* Lack of enforced structure and consistency
* Limited automation and transformation capabilities
* Weak support for large-scale knowledge management
* Tight coupling to manual workflows or ad-hoc tooling

This results in fragmented, hard-to-maintain knowledge systems.

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### 2.2 Intended Outcomes

markitect-tool enables:

* Treating markdown as **structured data rather than plain text**
* Reliable **validation, transformation, and composition** of documents
* Efficient **automation and reuse of knowledge artifacts**
* A stable interface for **human and AI interaction with knowledge**

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### 2.3 Success Criteria

The product is successful when:

* Users can **operate on large markdown corpora** with consistency and automation
* Applications can depend on **provider-neutral, stable primitives**
* LLM agents can interact with markdown as a **predictable, structured protocol**
* Higher-layer systems (e.g. kontextual-engine) can use markitect without workarounds

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## 3. Scope Definition

### 3.1 In Scope

* Markdown parsing into structured representations
* Schema definition, validation, and enforcement
* Transformation and composition (including transclusion-like mechanisms)
* Querying and extraction of structured content
* Templating and generation (deterministic and optionally LLM-assisted)
* CLI-based workflows (`mkt`)
* Programmatic API for integration
* Caching and incremental processing for efficiency

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### 3.2 Out of Scope

* Persistent knowledge system or ECM functionality
* Multi-format content management beyond markdown-native handling
* User management, permissions, or service orchestration
* Domain-specific knowledge models or workflows
* Full application frameworks or agent systems
* Secret management or infrastructure concerns

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### 3.3 Boundary Clarification

markitect-tool provides **primitives**, not systems.

* System-level orchestration → `kontextual-engine`
* Project-level knowledge application → `infospace-bench`

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## 4. Functional Expectations

### 4.1 Core Capabilities

The product must support:

* **Parsing & Structuring**
  Convert markdown into machine-interpretable representations

* **Validation**
  Enforce schemas and structural constraints

* **Transformation**
  Modify and compose documents programmatically

* **Templating**
  Generate markdown from structured input + rules/templates

* **Querying**
  Extract information from documents and collections

* **Automation Support**
  Enable repeatable workflows via CLI and API

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### 4.2 Interaction Modes

* CLI-first interaction (`mkt`)
* Library/API integration
* Automation/agent execution

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## 5. Non-Functional Expectations

### 5.1 Performance

* Efficient handling of large document sets (hundreds to thousands)
* Incremental updates and caching to avoid redundant work

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### 5.2 Reliability

* Deterministic behavior for core operations
* Explicit failure modes for invalid input or schema violations

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### 5.3 Extensibility

* Plugin/adaptor model for extending functionality
* Ability to integrate LLM capabilities without coupling core logic

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### 5.4 Usability

* Clear CLI interface with composable commands
* Predictable behavior across workflows
* Minimal required configuration for common use cases

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## 6. Assumptions and Dependencies

### 6.1 Assumptions

* Markdown remains the primary human/agent interaction format
* Users are comfortable with CLI-based workflows
* Structured knowledge benefits from schema-driven approaches

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### 6.2 Dependencies

* LLM capabilities (optional, via `llm-connect`)
* File system as primary storage medium
* Downstream systems for persistence and orchestration

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## 7. Constraints

* Must remain **implementation-agnostic at the interface level**
* Must not introduce coupling to specific providers or platforms
* Must maintain **clear separation from higher-layer systems**
* Must keep core primitives **small, stable, and composable**

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## 8. Risks

* Scope creep toward full platform/ECM functionality
* Over-reliance on LLMs reducing determinism
* Complexity growth reducing usability
* Fragmentation if primitives are not well-defined

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## 9. Related Systems

* **kontextual-engine** – system layer (persistence, orchestration)
* **infospace-bench** – application layer (knowledge projects)
* **llm-connect** – provider abstraction for LLM integration

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## 10. Ecosystem Context

This product is part of a layered knowledge system:

```text
markitect-tool     → makes markdown structured and manipulable
kontextual-engine  → makes knowledge persistent and operable
infospace-bench    → makes knowledge concrete and meaningful
```

Layers:

* **Syntax layer** → markitect-tool
* **System layer** → kontextual-engine
* **Application layer** → infospace-bench

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## 11. PRD Type

**Hybrid / Boundary PRD**

This PRD defines stable product intent and boundaries while allowing flexibility in implementation and evolution.