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our-claude-skills/custom-skills/90-reference-curator/06-markdown-exporter/code/CLAUDE.md
Andrew Yim 6d7a6d7a88 feat(reference-curator): Add portable skill suite for reference documentation curation
6 modular skills for curating, processing, and exporting reference docs:
- reference-discovery: Search and validate authoritative sources
- web-crawler-orchestrator: Multi-backend crawling (Firecrawl/Node/aiohttp/Scrapy)
- content-repository: MySQL storage with version tracking
- content-distiller: Summarization and key concept extraction
- quality-reviewer: QA loop with approve/refactor/research routing
- markdown-exporter: Structured output for Claude Projects or fine-tuning

Cross-machine installation support:
- Environment-based config (~/.reference-curator.env)
- Commands tracked in repo, symlinked during install
- install.sh with --minimal, --check, --uninstall modes
- Firecrawl MCP as default (always available)

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
2026-01-29 00:20:27 +07:00

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# Markdown Exporter
Exports approved reference content as structured markdown files for project knowledge or fine-tuning datasets.
## Trigger Keywords
"export references", "generate project files", "create markdown output", "export for fine-tuning", "build knowledge base"
## Export Types
| Type | Format | Use Case |
|------|--------|----------|
| `project_files` | Nested markdown | Claude Projects knowledge |
| `fine_tuning` | JSONL | Model fine-tuning dataset |
| `knowledge_base` | Flat markdown | Documentation |
## Workflow
### Step 1: Query Approved Content
```bash
python scripts/query_approved.py --min-score 0.80 --output approved.json
```
### Step 2: Organize by Structure
**Nested by Topic (default):**
```
exports/
├── INDEX.md
├── prompt-engineering/
│ ├── _index.md
│ ├── 01-chain-of-thought.md
│ └── 02-few-shot-prompting.md
└── claude-models/
├── _index.md
└── 01-model-comparison.md
```
**Flat Structure:**
```
exports/
├── INDEX.md
├── prompt-engineering-chain-of-thought.md
└── claude-models-comparison.md
```
### Step 3: Generate Files
```bash
python scripts/export_project.py \
--structure nested_by_topic \
--output ~/reference-library/exports/ \
--include-metadata
```
### Step 4: Generate INDEX
```bash
python scripts/generate_index.py --output ~/reference-library/exports/INDEX.md
```
### Step 5: Fine-tuning Export (Optional)
```bash
python scripts/export_finetuning.py \
--output ~/reference-library/exports/fine_tuning.jsonl \
--max-tokens 4096
```
JSONL format:
```json
{
"messages": [
{"role": "system", "content": "You are an expert on AI and prompt engineering."},
{"role": "user", "content": "Explain {title}"},
{"role": "assistant", "content": "{structured_content}"}
],
"metadata": {"source": "{url}", "topic": "{topic_slug}", "quality_score": 0.92}
}
```
### Step 6: Log Export Job
```bash
python scripts/log_export.py --name "January 2025 Export" --type project_files --docs 45
```
## Cross-Reference Generation
```bash
python scripts/add_crossrefs.py --input ~/reference-library/exports/
```
Links related documents based on overlapping key concepts.
## Output Verification
After export, verify:
- [ ] All files readable and valid markdown
- [ ] INDEX.md links resolve correctly
- [ ] No broken cross-references
- [ ] Total token count matches expectation
- [ ] No duplicate content
```bash
python scripts/verify_export.py --path ~/reference-library/exports/
```
## Scripts
- `scripts/query_approved.py` - Get approved content from DB
- `scripts/export_project.py` - Main export for project files
- `scripts/export_finetuning.py` - JSONL export for fine-tuning
- `scripts/generate_index.py` - Generate INDEX.md
- `scripts/add_crossrefs.py` - Add cross-references
- `scripts/log_export.py` - Log export job to DB
- `scripts/verify_export.py` - Verify export integrity
## Configuration
```yaml
# ~/.config/reference-curator/export_config.yaml
output:
base_path: ~/reference-library/exports/
project_files:
structure: nested_by_topic
index_file: INDEX.md
include_metadata: true
fine_tuning:
format: jsonl
max_tokens_per_sample: 4096
quality:
min_score_for_export: 0.80
```
## Integration
| From | To |
|------|-----|
| quality-reviewer (approved) | → |
| → | Project knowledge / Fine-tuning dataset |