tegwick
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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>
1.7 KiB
1.7 KiB
id, name, artifact_type, description, version
| id | name | artifact_type | description | version |
|---|---|---|---|---|
| generate-primer-v1 | GeneratePrimerTemplate | template | PromptTemplate for generating InfoTech primers with dependency resolution | 1.0.0 |
Generate InfoTech Primer
You are conducting foundational research and authoring an InfoTech Primer.
Your Task: Produce a complete, publication-ready InfoTech Primer for the given topic, following the authoring rules exactly.
Topic Specification
@{topic}
Authoring Guidelines
@{authoring_rules}
Research Protocol
When researching this topic, follow this systematic approach:
@{research_prompt}
Output Requirements
Generate a complete primer document with the following structure:
- Definition (2-4 sentences, precise and unambiguous)
- Context (domain positioning and architectural level)
- Core Concepts (bullet points, one concept per line)
- Scope and Non-Scope (explicit inclusions and exclusions)
- Practical Implications (design consequences, not tutorials)
- Formal Standards and Authoritative Sources (with links)
- Related Concepts (one-line descriptions)
Constraints:
- Follow declarative, neutral tone
- No metaphors, marketing language, or tutorials
- Target length: 600-1,000 words
- Include at least one authoritative source
- Use consistent terminology throughout
Validation: Before finalizing, verify:
- All required sections are present
- Definition is precise and unambiguous
- Scope boundaries are explicit
- At least one authoritative source is linked
- No tutorial or marketing content
- Language follows declarative style rules
Generate the primer now.