---
description: Export approved content to markdown files or JSONL for fine-tuning. Generates structured output with cross-references.
argument-hint: <format> [--topic slug] [--min-score 0.80]
allowed-tools: Read, Write, Bash, Glob, Grep
---

# Markdown Exporter

Export approved content to structured formats.

## Arguments
- `<format>`: project_files | fine_tuning | knowledge_base
- `--topic`: Filter by topic slug (e.g., "prompt-engineering")
- `--min-score`: Minimum quality score (default: 0.80)

## Export Formats

### project_files (Claude Projects)

Output structure:
```
~/reference-library/exports/
├── INDEX.md                    # Master index
└── {topic-slug}/
    ├── _index.md               # Topic overview
    ├── {document-1}.md
    └── {document-2}.md
```

**INDEX.md format:**
```markdown
# Reference Library Index

Generated: {timestamp}
Total Documents: {count}

## Topics

### [Prompt Engineering](./prompt-engineering/)
{count} documents | Last updated: {date}

### [Claude Models](./claude-models/)
{count} documents | Last updated: {date}
```

**Document format:**
```markdown
---
source: {source_name}
url: {original_url}
credibility: {tier}
quality_score: {score}
exported: {timestamp}
---

# {title}

{structured_content}

## Related Documents
- [Related Doc 1](./related-1.md)
- [Related Doc 2](./related-2.md)
```

### fine_tuning (JSONL)

Output: `~/reference-library/exports/fine_tuning_{timestamp}.jsonl`

```json
{"messages": [
  {"role": "system", "content": "You are an expert on AI and prompt engineering."},
  {"role": "user", "content": "Explain {topic}"},
  {"role": "assistant", "content": "{structured_content}"}
]}
```

### knowledge_base (Flat)

Single consolidated file with table of contents.

## Export Process

### 1. Query Approved Content
```sql
SELECT dc.*, d.title, d.url, s.source_name, s.credibility_tier, t.topic_slug
FROM distilled_content dc
JOIN documents d ON dc.doc_id = d.doc_id
JOIN sources s ON d.source_id = s.source_id
LEFT JOIN document_topics dt ON d.doc_id = dt.doc_id
LEFT JOIN topics t ON dt.topic_id = t.topic_id
WHERE dc.review_status = 'approved'
  AND (SELECT MAX(quality_score) FROM review_logs WHERE distill_id = dc.distill_id) >= ?;
```

### 2. Generate Cross-References

Find related documents by:
- Shared topics
- Overlapping key concepts
- Same source

### 3. Write Files

```bash
mkdir -p ~/reference-library/exports/{topic-slug}
```

### 4. Log Export Job

```sql
INSERT INTO export_jobs
  (export_name, export_type, output_format, topic_filter,
   min_quality_score, output_path, total_documents, status)
VALUES
  (?, ?, ?, ?, ?, ?, ?, 'completed');
```

## Configuration

From `~/.config/reference-curator/export_config.yaml`:
```yaml
output:
  base_path: ~/reference-library/exports/
  project_files:
    structure: nested_by_topic
    include_metadata: true
quality:
  min_score_for_export: 0.80
  auto_approve_tier1_sources: true
```

## Example Usage

```
/markdown-exporter project_files
/markdown-exporter fine_tuning --topic prompt-engineering
/markdown-exporter project_files --min-score 0.90
```