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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

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

python scripts/export_project.py \
  --structure nested_by_topic \
  --output ~/reference-library/exports/ \
  --include-metadata

Step 4: Generate INDEX

python scripts/generate_index.py --output ~/reference-library/exports/INDEX.md

Step 5: Fine-tuning Export (Optional)

python scripts/export_finetuning.py \
  --output ~/reference-library/exports/fine_tuning.jsonl \
  --max-tokens 4096

JSONL format:

{
  "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

python scripts/log_export.py --name "January 2025 Export" --type project_files --docs 45

Cross-Reference Generation

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

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

# ~/.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

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