WCAG 2.2 AA compliance, ARIA patterns, keyboard navigation, screen reader optimization
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Multi-page deep crawling - documentation sites, wikis, knowledge bases
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Review the instructions the agent will receive before you install.
Crawl multi-page websites following internal links to a specified depth. Ideal for building complete knowledge bases from documentation sites, wikis, and reference materials.
/crawl <url> --depth <N>
# Crawl docs site 3 levels deep
/crawl https://docs.example.com --depth 3
# Crawl a specific section
/crawl https://docs.example.com/api --depth 2
# Crawl with page limit
/crawl https://wiki.example.com --depth 5 --max-pages 50
| Param | Default | Description |
|---|---|---|
--depth | 2 | Max link-following depth |
--max-pages | 100 | Max pages to crawl |
--same-domain | true | Stay on same domain |
--include | * | URL pattern to include |
--exclude | - | URL pattern to exclude |
.claude/cache/agents/harvest/crawl-{domain}/crawl-{domain}-{timestamp}/
index.md # Table of contents + summary
page-001.md # First page content
page-002.md # Second page content
...
metadata.json # Crawl stats, URLs, timings
curl -s http://localhost:11235/crawl \
-H "Content-Type: application/json" \
-d '{
"urls": ["https://docs.example.com"],
"max_depth": 3,
"same_domain": true,
"word_count_threshold": 50
}'
When Docker unavailable:
| Scenario | Depth | Max Pages |
|---|---|---|
| API reference | 2-3 | 50 |
| Full documentation site | 3-5 | 100 |
| Wiki section | 2 | 30 |
| Changelog history | 1-2 | 20 |
| Tutorial series | 2-3 | 30 |
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WCAG 2.2 AA compliance, ARIA patterns, keyboard navigation, screen reader optimization
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axe-core integration, WCAG 2.2 AA checklist, keyboard navigation testing, screen reader testing, and ARIA pattern validation.
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Steam-style achievement system with XP, levels, streaks, and skill trees. Gamifies the development workflow. 25 achievements across 5 categories.
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Framework for measuring and tracking agent response quality over time. Detects regressions before they reach production. Use when evaluating agent changes, auditing quality, or establishing performance baselines.
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Agent Context Isolation
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Agent ve skill dosyalarinin yapisal dogrulamasi. Frontmatter kontrol, naming convention, zorunlu bolum kontrolu, tutarlilik denetimi. Yeni agent/skill eklendiginde veya mevcut dosyalar duzenlediginde otomatik calistirilir.
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