Intent and specification files

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# Markitect Tool Product Requirements Document V0.1
## markitect-tool
---
## 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.
---
## 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.
---
### 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**
---
### 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
---
## 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
---
### 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
---
### 3.3 Boundary Clarification
markitect-tool provides **primitives**, not systems.
* System-level orchestration → `kontextual-engine`
* Project-level knowledge application → `infospace-bench`
---
## 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
---
### 4.2 Interaction Modes
* CLI-first interaction (`mkt`)
* Library/API integration
* Automation/agent execution
---
## 5. Non-Functional Expectations
### 5.1 Performance
* Efficient handling of large document sets (hundreds to thousands)
* Incremental updates and caching to avoid redundant work
---
### 5.2 Reliability
* Deterministic behavior for core operations
* Explicit failure modes for invalid input or schema violations
---
### 5.3 Extensibility
* Plugin/adaptor model for extending functionality
* Ability to integrate LLM capabilities without coupling core logic
---
### 5.4 Usability
* Clear CLI interface with composable commands
* Predictable behavior across workflows
* Minimal required configuration for common use cases
---
## 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
---
### 6.2 Dependencies
* LLM capabilities (optional, via `llm-connect`)
* File system as primary storage medium
* Downstream systems for persistence and orchestration
---
## 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**
---
## 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
---
## 9. Related Systems
* **kontextual-engine** system layer (persistence, orchestration)
* **infospace-bench** application layer (knowledge projects)
* **llm-connect** provider abstraction for LLM integration
---
## 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
---
## 11. PRD Type
**Hybrid / Boundary PRD**
This PRD defines stable product intent and boundaries while allowing flexibility in implementation and evolution.