lookup-lc-doc

Looking Up LimaCharlie Documentation

Use this skill proactively whenever a user asks about LimaCharlie features, configuration, or implementation.

When to Use

Invoke this skill when users ask about:

• Platform features: D&R rules, LCQL queries, sensors, events, outputs, extensions
• APIs: REST API usage, authentication, endpoints
• SDKs: Python SDK or Go SDK usage, examples, methods
• Configuration: Setting up integrations, adapters, outputs
• Getting started: Tutorials, quick start guides, installation
• AI capabilities: Skills, agents, commands available in LimaCharlie AI
• Any LimaCharlie topic: General questions about capabilities or how to use features

Documentation Sources

Documentation is fetched from two GitHub repositories using WebFetch:

Repository	Base URL
Platform docs	https://raw.githubusercontent.com/refractionPOINT/documentation/master/
AI skills/agents	https://raw.githubusercontent.com/refractionPOINT/lc-ai/master/

How to Use - DYNAMIC DISCOVERY

Step 1: Discover Available Content

ALWAYS start by fetching index/navigation files to discover the current structure:

# For platform documentation - fetch the main index
WebFetch: https://raw.githubusercontent.com/refractionPOINT/documentation/master/docs/index.md

# For AI skills/agents - fetch the summary files
WebFetch: https://raw.githubusercontent.com/refractionPOINT/lc-ai/master/marketplace/plugins/lc-essentials/README.md
WebFetch: https://raw.githubusercontent.com/refractionPOINT/lc-ai/master/marketplace/plugins/lc-essentials/SKILLS_SUMMARY.md

These index files contain links to all available documentation. Parse the links to discover:

• Available categories and sections
• File paths for specific topics
• Related documentation that may be relevant

Step 2: Follow Links from Index Files

After fetching index files, extract the file paths from links in the markdown content:

• Links appear as [text](path/to/file.md) or [:icon: text](path/to/file.md)
• Construct full URLs by combining base URL + path
• Identify which links are relevant to the user's question

Step 3: Fetch Relevant Documentation

Based on what you discovered in the index files, fetch the specific documentation:

# Construct URLs dynamically from discovered paths
WebFetch: {base_url}/{discovered_path}

Fetch multiple relevant files in parallel - don't stop at one file.

Step 4: Provide Comprehensive Response

• Include information from all files fetched
• Organize content logically (overview -> details -> examples)
• Mention which documentation sources the information came from
• If the answer spans multiple topics, include all relevant documentation

Example Workflow

User: "How do I write D&R rules?"

1. Discover structure:
   WebFetch: https://raw.githubusercontent.com/refractionPOINT/documentation/master/docs/index.md
   -> Parse the markdown to find links related to "Detection", "Response", "D&R", "rules"
   -> Discover paths like: limacharlie/doc/Detection_and_Response/detection-and-response-rules.md

2. Fetch discovered docs (in parallel):
   WebFetch: https://raw.githubusercontent.com/refractionPOINT/documentation/master/docs/{discovered_path_1}
   WebFetch: https://raw.githubusercontent.com/refractionPOINT/documentation/master/docs/{discovered_path_2}
   (paths extracted from index file links)

3. Respond with comprehensive answer combining all sources

Key Principles

• Dynamic discovery: NEVER hardcode file paths - always discover them from index files
• Use WebFetch: All documentation is fetched via raw.githubusercontent.com URLs
• Parse links: Extract file paths from markdown links in index/summary files
• Be thorough: Fetch multiple relevant files, not just one
• Parallel fetches: Use multiple WebFetch calls in parallel for efficiency
• Combine sources: Information may span both repositories