🔧 Schema Management System:
- schema-ingest: Store JSON schema files in database with metadata parsing
- schema-list: List all stored schemas with --format and --names-only options
- schema-get: Retrieve stored schemas to stdout or file
- schema-delete: Remove schemas with confirmation prompts
- Full database integration with schemas table
📊 Enhanced Format Control:
- MARKITECT_DEFAULT_FORMAT environment variable for global format defaults
- Consistent --format options across all CLI commands (table|json|yaml|simple)
- get_default_format() function with fallback logic for invalid values
- Applied format control to query, schema, metadata, list, and ast-stats commands
🛠️ Bug Fixes:
- Fixed ast-stats command empty output by adding 'simple' format handler
- Created missing schema_summary.py for schema visualization tests
- All 394 tests now passing
✨ Usability Improvements:
- Unified format handling across the entire CLI interface
- Environment-based configuration for user preferences
- Enhanced schema management workflow with comprehensive CRUD operations
🧪 Generated with [Claude Code](https://claude.ai/code)
Co-Authored-By: Claude <noreply@anthropic.com>
MarkiTect transforms markdown from plain text into intelligent, structured data with performance optimization, schema validation, and relational querying capabilities. Stop treating documentation as text files—start managing it as a database.
Key Features:
Lightning Performance: 60-85% faster document processing through intelligent AST caching
Schema Validation: Enforce document structure and consistency
Database Integration: Query markdown content with SQL-like operations
CLI Tools: Complete command-line interface for automation and workflows
tegwick
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