OpenClaw ยท Skill
Anydocs
A powerful, reusable skill for indexing and searching ANY documentation site.
Install
Start with the primary install command. Alternate entrypoints are included below for ClawHub and OpenClaw CLI users.
Primary command
clawhub install pektech/anydocsClawHub installer
npx clawhub@latest install pektech/anydocsOpenClaw CLI
openclaw skills install pektech/anydocsDirect OpenClaw install
openclaw install pektech/anydocsWhat this skill does
A powerful, reusable skill for indexing and searching ANY documentation site.
Why it matters
Indexes any documentation website and makes it searchable from the command line. Point it at a sitemap URL, build a local search index, and run keyword, hybrid, or regex queries. Supports multiple doc profiles with local caching.
Typical use cases
- Searching API documentation without leaving the terminal
- Indexing internal company docs for quick lookups
- Building agents that reference documentation on demand
- Querying multiple doc sites from one tool with profile switching
- Fetching a specific docs page by path or URL
Source instructions
anydocs - Generic Documentation Indexing & Search
A powerful, reusable skill for indexing and searching ANY documentation site.
What It Does
anydocs solves a real problem: accessing documentation from code or CLI. Instead of opening a browser every time, you can:
- Index any documentation site (Discord, OpenClaw, internal docs, etc.)
- Search instantly from the command line or Python API
- Cache pages locally to avoid repeated network calls
- Configure multiple profiles for different doc sites
When to Use It
Use anydocs when you need to:
- Quickly look up API documentation without leaving the terminal
- Build agents that need to reference docs
- Extract specific information from documentation
- Search across multiple documentation sites
- Integrate docs into your workflow
Key Features
๐ Multi-Method Search
- Keyword search: Fast, term-based matching with BM25-style scoring
- Hybrid search: Keyword + phrase proximity for better relevance
- Regex search: Advanced pattern matching for power users
๐ Works with Any Docs Site
- Sitemap-based discovery (standard XML sitemap)
- Fallback crawling from base URL
- HTML content extraction with smart selector detection
- Automatic rate limiting to be respectful
๐พ Smart Caching
- Pages cached locally with 7-day TTL (configurable)
- Search indexes cached for instant second searches
- Cache statistics and cleanup commands
- Respects cache invalidation
โ๏ธ Profile-Based Configuration
- Support multiple doc sites simultaneously
- Per-profile search methods and cache TTLs
- Configuration stored in
~/.anydocs/config.json - Examples for Discord, OpenClaw, and custom sites
๐ JavaScript Rendering (Optional)
- Uses Playwright to render client-side SPAs (Single Page Apps)
- Automatically discovers links on JS-heavy sites like Discord docs
- Gracefully falls back to standard HTTP if Playwright unavailable
- Configure per-discovery session or globally per profile
Installation
cd /path/to/skills/anydocs
pip install -r requirements.txt
chmod +x anydocs.py
Optional: Browser-based rendering (for JavaScript-heavy sites)
For sites like Discord that use client-side rendering, install Playwright:
pip install playwright==1.40.0
playwright install # Downloads Chromium
If Playwright is unavailable, anydocs gracefully falls back to standard HTTP fetching.
Quick Start
1. Configure a Documentation Site
python anydocs.py config vuejs \
https://vuejs.org \
https://vuejs.org/sitemap.xml
2. Build the Index
python anydocs.py index vuejs
This discovers all pages via sitemap, scrapes content, and builds a searchable index.
3. Search
python anydocs.py search "composition api" --profile vuejs
python anydocs.py search "reactivity" --profile vuejs --limit 5
4. Fetch a Specific Page
python anydocs.py fetch "guide/introduction" --profile vuejs
CLI Commands
Configuration
# Add or update a profile
anydocs config <profile> <base_url> <sitemap_url> [--search-method hybrid] [--ttl-days 7]
# List configured profiles
anydocs list-profiles
Indexing
# Build index for a profile
anydocs index <profile>
# Force re-index (skip cache)
anydocs index <profile> --force
Search
# Basic keyword search
anydocs search "query" --profile discord
# Limit results
anydocs search "query" --profile discord --limit 5
# Regex search
anydocs search "^API" --profile discord --regex
Fetch
# Fetch a specific page (URL or path)
anydocs fetch "https://discord.com/developers/docs/resources/webhook"
anydocs fetch "resources/webhook" --profile discord
Cache Management
# Show cache statistics
anydocs cache status
# Clear all cache
anydocs cache clear
# Clear specific profile's cache
anydocs cache clear --profile discord
Python API
For use in agents and scripts:
from lib.config import ConfigManager
from lib.scraper import DiscoveryEngine
from lib.indexer import SearchIndex
# Load configuration
config_mgr = ConfigManager()
config = config_mgr.get_profile("discord")
# Scrape documentation
scraper = DiscoveryEngine(config["base_url"], config["sitemap_url"])
pages = scraper.fetch_all()
# Build search index
index = SearchIndex()
index.build(pages)
# Search
results = index.search("webhooks", limit=10)
for result in results:
print(f"{result['title']} ({result['relevance_score']})")
print(f" {result['url']}")
Configuration File Format
Configuration is stored in ~/.anydocs/config.json:
{
"discord": {
"name": "discord",
"base_url": "https://discord.com/developers/docs",
"sitemap_url": "https://discord.com/developers/docs/sitemap.xml",
"search_method": "hybrid",
"cache_ttl_days": 7
},
"openclaw": {
"name": "openclaw",
"base_url": "https://docs.openclaw.ai",
"sitemap_url": "https://docs.openclaw.ai/sitemap.xml",
"search_method": "hybrid",
"cache_ttl_days": 7
}
}
Search Methods
Keyword Search
- Speed: Fast
- Best for: Common terms, exact matches
- How it works: Term matching with position weighting (title > tags > content)
- Example:
anydocs search "webhooks"
Hybrid Search (Default)
- Speed: Fast
- Best for: Natural language queries
- How it works: Keyword search + phrase proximity scoring
- Example:
anydocs search "how to set up webhooks"
Regex Search
- Speed: Medium
- Best for: Complex patterns
- How it works: Compiled regex pattern matching across all content
- Example:
anydocs search "^(GET|POST)" --regex
Caching Behavior
- Pages: Cached as JSON with 7-day TTL (configurable)
- Indexes: Cached after indexing, invalidated on TTL expiry
- Cache location:
~/.anydocs/cache/ - Manual refresh: Use
--forceflag or clear cache
Performance Notes
- First index build takes 2-10 minutes depending on site size
- Subsequent searches are instant (cached indexes)
- Rate limit: 0.5s per page to be respectful
- Typical search returns ~100 results in <100ms
Troubleshooting
"No index for 'profile'" error
Run anydocs index <profile> first to build the index.
Sitemap not found
Check the sitemap URL. Falls back to crawling from base_url if unavailable.
Slow indexing
This is normal for large sites. Rate limiting prevents overwhelming servers.
Cache grows too large
Run anydocs cache clear or set --ttl-days to a smaller value.
Examples
Vue.js Framework Docs (SPA Example)
anydocs config vuejs \
https://vuejs.org \
https://vuejs.org/sitemap.xml
anydocs index vuejs
anydocs search "composition api"
Next.js API Docs
anydocs config nextjs \
https://nextjs.org \
https://nextjs.org/sitemap.xml
anydocs index nextjs
anydocs search "app router" --profile nextjs
Internal Company Documentation
anydocs config internal \
https://docs.company.local \
https://docs.company.local/sitemap.xml
anydocs index internal --force
anydocs search "deployment" --profile internal
Architecture
- scraper.py: Discovers URLs via sitemap, fetches and parses HTML
- indexer.py: Builds searchable indexes, implements multiple search strategies
- config.py: Manages configuration profiles
- cache.py: TTL-based file caching for pages and indexes
- cli.py: Click-based command-line interface
Contributing
To add new documentation sites, run:
anydocs config <profile> <base_url> <sitemap_url>
To extend search functionality, modify lib/indexer.py.
License
Part of the OpenClaw system.