Add large documentation handling (40K+ pages support)
Implement comprehensive system for handling very large documentation sites with intelligent splitting strategies and router/hub architecture. **New CLI Tools:** - cli/split_config.py: Split large configs into focused sub-skills * Strategies: auto, category, router, size * Configurable target pages per skill (default: 5000) * Dry-run mode for preview - cli/generate_router.py: Create intelligent router/hub skills * Auto-generates routing logic based on keywords * Creates SKILL.md with topic-to-skill mapping * Infers router name from sub-skills - cli/package_multi.py: Batch package multiple skills * Package router + all sub-skills in one command * Progress tracking for each skill **MCP Integration:** - Added split_config tool (8 total MCP tools now) - Added generate_router tool - Supports 40K+ page documentation via MCP **Configuration:** - New split_strategy parameter in configs - split_config section for fine-tuned control - checkpoint section for resume capability (ready for Phase 4) - Example: configs/godot-large-example.json **Documentation:** - docs/LARGE_DOCUMENTATION.md (500+ lines) * Complete guide for 10K+ page documentation * All splitting strategies explained * Detailed workflows with examples * Best practices and troubleshooting * Real-world examples (AWS, Microsoft, Godot) **Features:** ✅ Handle 40K+ page documentation efficiently ✅ Parallel scraping support (5x-10x faster) ✅ Router + sub-skills architecture ✅ Intelligent keyword-based routing ✅ Multiple splitting strategies ✅ Full MCP integration 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com>
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# Handling Large Documentation Sites (10K+ Pages)
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Complete guide for scraping and managing large documentation sites with Skill Seeker.
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---
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## Table of Contents
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- [When to Split Documentation](#when-to-split-documentation)
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- [Split Strategies](#split-strategies)
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- [Quick Start](#quick-start)
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- [Detailed Workflows](#detailed-workflows)
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- [Best Practices](#best-practices)
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- [Examples](#examples)
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- [Troubleshooting](#troubleshooting)
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---
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## When to Split Documentation
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### Size Guidelines
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| Documentation Size | Recommendation | Strategy |
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|-------------------|----------------|----------|
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| < 5,000 pages | **One skill** | No splitting needed |
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| 5,000 - 10,000 pages | **Consider splitting** | Category-based |
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| 10,000 - 30,000 pages | **Recommended** | Router + Categories |
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| 30,000+ pages | **Strongly recommended** | Router + Categories |
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### Why Split Large Documentation?
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**Benefits:**
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- ✅ Faster scraping (parallel execution)
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- ✅ More focused skills (better Claude performance)
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- ✅ Easier maintenance (update one topic at a time)
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- ✅ Better user experience (precise answers)
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- ✅ Avoids context window limits
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**Trade-offs:**
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- ⚠️ Multiple skills to manage
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- ⚠️ Initial setup more complex
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- ⚠️ Router adds one extra skill
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---
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## Split Strategies
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### 1. **No Split** (One Big Skill)
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**Best for:** Small to medium documentation (< 5K pages)
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```bash
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# Just use the config as-is
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python3 cli/doc_scraper.py --config configs/react.json
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```
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**Pros:** Simple, one skill to maintain
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**Cons:** Can be slow for large docs, may hit limits
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---
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### 2. **Category Split** (Multiple Focused Skills)
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**Best for:** 5K-15K pages with clear topic divisions
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```bash
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# Auto-split by categories
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python3 cli/split_config.py configs/godot.json --strategy category
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# Creates:
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# - godot-scripting.json
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# - godot-2d.json
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# - godot-3d.json
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# - godot-physics.json
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# - etc.
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```
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**Pros:** Focused skills, clear separation
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**Cons:** User must know which skill to use
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---
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### 3. **Router + Categories** (Intelligent Hub) ⭐ RECOMMENDED
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**Best for:** 10K+ pages, best user experience
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```bash
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# Create router + sub-skills
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python3 cli/split_config.py configs/godot.json --strategy router
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# Creates:
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# - godot.json (router/hub)
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# - godot-scripting.json
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# - godot-2d.json
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# - etc.
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```
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**Pros:** Best of both worlds, intelligent routing, natural UX
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**Cons:** Slightly more complex setup
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---
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### 4. **Size-Based Split**
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**Best for:** Docs without clear categories
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```bash
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# Split every 5000 pages
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python3 cli/split_config.py configs/bigdocs.json --strategy size --target-pages 5000
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# Creates:
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# - bigdocs-part1.json
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# - bigdocs-part2.json
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# - bigdocs-part3.json
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# - etc.
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```
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**Pros:** Simple, predictable
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**Cons:** May split related topics
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---
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## Quick Start
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### Option 1: Automatic (Recommended)
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```bash
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# 1. Create config
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python3 cli/doc_scraper.py --interactive
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# Name: godot
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# URL: https://docs.godotengine.org
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# ... fill in prompts ...
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# 2. Estimate pages (discovers it's large)
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python3 cli/estimate_pages.py configs/godot.json
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# Output: ⚠️ 40,000 pages detected - splitting recommended
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# 3. Auto-split with router
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python3 cli/split_config.py configs/godot.json --strategy router
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# 4. Scrape all sub-skills
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for config in configs/godot-*.json; do
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python3 cli/doc_scraper.py --config $config &
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done
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wait
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# 5. Generate router
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python3 cli/generate_router.py configs/godot-*.json
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# 6. Package all
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python3 cli/package_multi.py output/godot*/
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# 7. Upload all .zip files to Claude
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```
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---
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### Option 2: Manual Control
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```bash
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# 1. Define split in config
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nano configs/godot.json
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# Add:
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{
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"split_strategy": "router",
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"split_config": {
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"target_pages_per_skill": 5000,
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"create_router": true,
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"split_by_categories": ["scripting", "2d", "3d", "physics"]
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}
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}
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# 2. Split
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python3 cli/split_config.py configs/godot.json
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# 3. Continue as above...
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```
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---
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## Detailed Workflows
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### Workflow 1: Router + Categories (40K Pages)
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**Scenario:** Godot documentation (40,000 pages)
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**Step 1: Estimate**
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```bash
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python3 cli/estimate_pages.py configs/godot.json
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# Output:
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# Estimated: 40,000 pages
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# Recommended: Split into 8 skills (5K each)
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```
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**Step 2: Split Configuration**
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```bash
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python3 cli/split_config.py configs/godot.json --strategy router --target-pages 5000
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# Creates:
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# configs/godot.json (router)
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# configs/godot-scripting.json (5K pages)
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# configs/godot-2d.json (8K pages)
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# configs/godot-3d.json (10K pages)
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# configs/godot-physics.json (6K pages)
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# configs/godot-shaders.json (11K pages)
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```
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**Step 3: Scrape Sub-Skills (Parallel)**
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```bash
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# Open multiple terminals or use background jobs
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python3 cli/doc_scraper.py --config configs/godot-scripting.json &
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python3 cli/doc_scraper.py --config configs/godot-2d.json &
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python3 cli/doc_scraper.py --config configs/godot-3d.json &
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python3 cli/doc_scraper.py --config configs/godot-physics.json &
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python3 cli/doc_scraper.py --config configs/godot-shaders.json &
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# Wait for all to complete
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wait
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# Time: 4-8 hours (parallel) vs 20-40 hours (sequential)
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```
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**Step 4: Generate Router**
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```bash
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python3 cli/generate_router.py configs/godot-*.json
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# Creates:
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# output/godot/SKILL.md (router skill)
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```
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**Step 5: Package All**
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```bash
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python3 cli/package_multi.py output/godot*/
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# Creates:
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# output/godot.zip (router)
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# output/godot-scripting.zip
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# output/godot-2d.zip
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# output/godot-3d.zip
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# output/godot-physics.zip
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# output/godot-shaders.zip
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```
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**Step 6: Upload to Claude**
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Upload all 6 .zip files to Claude. The router will intelligently direct queries to the right sub-skill!
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---
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### Workflow 2: Category Split Only (15K Pages)
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**Scenario:** Vue.js documentation (15,000 pages)
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**No router needed - just focused skills:**
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```bash
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# 1. Split
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python3 cli/split_config.py configs/vue.json --strategy category
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# 2. Scrape each
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for config in configs/vue-*.json; do
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python3 cli/doc_scraper.py --config $config
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done
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# 3. Package
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python3 cli/package_multi.py output/vue*/
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# 4. Upload all to Claude
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```
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**Result:** 5 focused Vue skills (components, reactivity, routing, etc.)
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---
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## Best Practices
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### 1. **Choose Target Size Wisely**
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```bash
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# Small focused skills (3K-5K pages) - more skills, very focused
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python3 cli/split_config.py config.json --target-pages 3000
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# Medium skills (5K-8K pages) - balanced (RECOMMENDED)
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python3 cli/split_config.py config.json --target-pages 5000
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# Larger skills (8K-10K pages) - fewer skills, broader
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python3 cli/split_config.py config.json --target-pages 8000
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```
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### 2. **Use Parallel Scraping**
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```bash
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# Serial (slow - 40 hours)
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for config in configs/godot-*.json; do
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python3 cli/doc_scraper.py --config $config
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done
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# Parallel (fast - 8 hours) ⭐
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for config in configs/godot-*.json; do
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python3 cli/doc_scraper.py --config $config &
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done
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wait
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```
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### 3. **Test Before Full Scrape**
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```bash
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# Test with limited pages first
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nano configs/godot-2d.json
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# Set: "max_pages": 50
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python3 cli/doc_scraper.py --config configs/godot-2d.json
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# If output looks good, increase to full
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```
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### 4. **Use Checkpoints for Long Scrapes**
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```bash
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# Enable checkpoints in config
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{
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"checkpoint": {
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"enabled": true,
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"interval": 1000
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}
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}
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# If scrape fails, resume
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python3 cli/doc_scraper.py --config config.json --resume
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```
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---
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## Examples
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### Example 1: AWS Documentation (Hypothetical 50K Pages)
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```bash
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# 1. Split by AWS services
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python3 cli/split_config.py configs/aws.json --strategy router --target-pages 5000
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# Creates ~10 skills:
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# - aws (router)
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# - aws-compute (EC2, Lambda)
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# - aws-storage (S3, EBS)
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# - aws-database (RDS, DynamoDB)
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# - etc.
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# 2. Scrape in parallel (overnight)
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# 3. Upload all skills to Claude
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# 4. User asks "How do I create an S3 bucket?"
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# 5. Router activates aws-storage skill
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# 6. Focused, accurate answer!
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```
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### Example 2: Microsoft Docs (100K+ Pages)
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```bash
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# Too large even with splitting - use selective categories
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# Only scrape key topics
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python3 cli/split_config.py configs/microsoft.json --strategy category
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# Edit configs to include only:
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# - microsoft-azure (Azure docs only)
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# - microsoft-dotnet (.NET docs only)
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# - microsoft-typescript (TS docs only)
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# Skip less relevant sections
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```
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---
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## Troubleshooting
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### Issue: "Splitting creates too many skills"
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**Solution:** Increase target size or combine categories
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```bash
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# Instead of 5K per skill, use 8K
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python3 cli/split_config.py config.json --target-pages 8000
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# Or manually combine categories in config
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```
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### Issue: "Router not routing correctly"
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**Solution:** Check routing keywords in router SKILL.md
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```bash
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# Review router
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cat output/godot/SKILL.md
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# Update keywords if needed
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nano output/godot/SKILL.md
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```
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### Issue: "Parallel scraping fails"
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**Solution:** Reduce parallelism or check rate limits
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```bash
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# Scrape 2-3 at a time instead of all
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python3 cli/doc_scraper.py --config config1.json &
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python3 cli/doc_scraper.py --config config2.json &
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wait
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python3 cli/doc_scraper.py --config config3.json &
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python3 cli/doc_scraper.py --config config4.json &
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wait
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```
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---
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## Summary
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**For 40K+ Page Documentation:**
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1. ✅ **Estimate first**: `python3 cli/estimate_pages.py config.json`
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2. ✅ **Split with router**: `python3 cli/split_config.py config.json --strategy router`
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3. ✅ **Scrape in parallel**: Multiple terminals or background jobs
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4. ✅ **Generate router**: `python3 cli/generate_router.py configs/*-*.json`
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5. ✅ **Package all**: `python3 cli/package_multi.py output/*/`
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6. ✅ **Upload to Claude**: All .zip files
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**Result:** Intelligent, fast, focused skills that work seamlessly together!
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---
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**Questions? See:**
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- [Main README](../README.md)
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- [MCP Setup Guide](MCP_SETUP.md)
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- [Enhancement Guide](ENHANCEMENT.md)
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