coulomb/markitect-main - Forgejo: Beyond coding. We Forge.

coulomb/markitect-main

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feat(examples): add content-generator example demonstrating Prompt Dependency Resolution This example demonstrates the full workflow of generating InfoTech primers using MarkiTect's Prompt Dependency Resolution infrastructure. Features demonstrated: - Artifact creation and storage with content-based addressing - PromptTemplate with @{macro} resolution across multiple spaces - Automatic dependency tracking and graph construction - Provenance tracing from outputs back to inputs - Visualization export (Mermaid format) - Incremental execution with change detection Files added: - generate_primers.py: Complete working example - README.md: Quick start guide and architecture overview - TUTORIAL.md: Comprehensive 500+ line tutorial - templates/generate-primer.md: Template with macros - artifacts/topics/: ETL and Microservices topic definitions - artifacts/guidelines/: Authoring rules and research protocol - prepdr/: Original manual system (preserved for reference) Example output: - Generates 2 primers (ETL, Microservices) - Creates 8 artifacts across 4 information spaces - Records 8 dependency edges in SQLite database - Exports dependency graph visualization Run with: cd examples/content-generator && python generate_primers.py Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>

2026-02-09 23:50:07 +01:00

I used these files to generate infotech primers for topics like ETL in a consistent way before formalizing the concept of prompt-dependence-resolution.