anydocs

name	anydocs
description	Generic Documentation Indexing & Search. Index any documentation site (SPA/static) and search it instantly.
tools	[{"name":"anydocs_search","description":"Search indexed documentation profiles. Returns ranked results with snippets.","parameters":{"type":"object","properties":"[Truncated]","required":"[Truncated]"}},{"name":"anydocs_index","description":"Build or update the search index for a documentation profile.","parameters":{"type":"object","properties":"[Truncated]","required":"[Truncated]"}},{"name":"anydocs_config","description":"Configure a new documentation profile.","parameters":{"type":"object","properties":"[Truncated]","required":"[Truncated]"}}]

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

🔍 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

🌐 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

💾 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

⚙️ 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

🌐 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 --force flag 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.