5.5 KiB
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:
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Parsing & Structuring Convert markdown into machine-interpretable representations
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Validation Enforce schemas and structural constraints
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Transformation Modify and compose documents programmatically
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Templating Generate markdown from structured input + rules/templates
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Querying Extract information from documents and collections
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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:
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.