Andrew Yim
6d7a6d7a88
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>
76 lines
2.3 KiB
Markdown
76 lines
2.3 KiB
Markdown
# Reference Discovery
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Search and identify authoritative sources for reference materials. Validates source credibility, prioritizes by relevance, and outputs curated URL lists with metadata.
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## Trigger Keywords
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"find references", "search documentation", "discover sources", "find authoritative materials", "research topic sources"
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## Source Priority Hierarchy
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| Tier | Source Type | Examples |
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|------|-------------|----------|
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| **Tier 1** | Official documentation | docs.anthropic.com, docs.claude.com, platform.openai.com/docs |
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| **Tier 1** | Engineering blogs (official) | anthropic.com/news, openai.com/blog |
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| **Tier 1** | Official GitHub repos | github.com/anthropics/*, github.com/openai/* |
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| **Tier 2** | Research papers | arxiv.org, papers with citations |
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| **Tier 2** | Verified community guides | Cookbook examples, official tutorials |
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| **Tier 3** | Community content | Blog posts, tutorials, Stack Overflow |
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## Workflow
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### Step 1: Define Search Scope
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Gather topic, target vendors, and freshness requirements from user input.
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### Step 2: Execute Web Search
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Use WebSearch tool with targeted queries:
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```
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site:docs.anthropic.com {topic}
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site:github.com/anthropics {topic}
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site:arxiv.org {topic}
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```
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### Step 3: Score and Validate Sources
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Apply credibility scoring:
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- Domain credibility (0.10 - 0.40)
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- Freshness signals (0.10 - 0.20)
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- Relevance signals (0.15)
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### Step 4: Output URL Manifest
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Generate JSON manifest for the crawler skill:
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```json
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{
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"discovery_date": "2025-01-28T10:30:00",
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"topic": "prompt engineering",
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"total_urls": 15,
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"urls": [
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{
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"url": "https://docs.anthropic.com/en/docs/prompt-engineering",
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"title": "Prompt Engineering Guide",
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"credibility_tier": "tier1_official",
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"credibility_score": 0.85,
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"source_type": "official_docs",
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"vendor": "anthropic"
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}
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]
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}
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```
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## Scripts
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### `discover_sources.py`
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Main discovery script. Usage:
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```bash
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python scripts/discover_sources.py --topic "prompt engineering" --vendors anthropic,openai --output manifest.json
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```
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## Output
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- `manifest.json` → Handoff to `02-web-crawler-orchestrator`
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- Register new sources in `sources` table via `03-content-repository`
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## Deduplication
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Before outputting:
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- Normalize URLs (remove trailing slashes, query params)
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- Check against existing `documents` table
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- Merge duplicates, keeping highest credibility score
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