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connect-users

@MLAI-AUS-Inc/roo
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Find community members with relevant expertise using vector search

Install Skill

1Download skill
2Enable skills in Claude

Open claude.ai/settings/capabilities and find the "Skills" section

3Upload to Claude

Click "Upload skill" and select the downloaded ZIP file

Note: Please verify skill by going through its instructions before using it.

SKILL.md

name connect-users
description Find community members with relevant expertise using vector search

Connect Users Skill

This skill enables Claude to find and recommend MLAI community members based on their expertise, interests, and what they're working on.

Capabilities

  • Search for users with specific expertise using vector similarity
  • Match users based on topics, skills, and interests
  • Provide warm introductions and connection suggestions

Parameters

  • query: The expertise or topic the user is looking for (required)
  • exclude_user_id: Slack user ID to exclude from results (optional - usually the requester)
  • limit: Maximum number of users to suggest (default: 5)

Workflow

Step 1: Extract Topics

Parse the user's query to identify the specific expertise areas they're looking for.

Common patterns to recognize:

  • "who knows about X" → extract X
  • "anyone working on Y" → extract Y
  • "expert in Z" → extract Z
  • "looking for someone in [field]" → extract field
  • "recommend someone for [topic]" → extract topic

Step 2: Vector Search

Use the vector_search function to find users with matching expertise.

The search uses cosine similarity on embeddings stored in the user_expertise table.

SELECT u.id, u.name, u.slack_id, e.topic, e.relationship,
       1 - (e.embedding <=> $query_embedding) as similarity
FROM users u
JOIN user_expertise e ON u.id = e.user_id
WHERE 1 - (e.embedding <=> $query_embedding) > 0.7
ORDER BY similarity DESC
LIMIT 5;

Step 3: Format Response

Generate a warm, friendly response suggesting the matched users.

Include for each user:

  • Their name (with Slack mention if available)
  • Their expertise area that matched
  • The relationship type (expert, working on, interested)

Response Style

  • Start with an acknowledgment of what they're looking for
  • Use casual Australian language occasionally (mate, no worries, legend, etc.)
  • Be encouraging about making connections
  • If no users found, offer alternative suggestions or ask for clarification

Example Responses

Successful Match

G'day! Looking for folks in AI research, eh? Here are some legends who might help:

• **@sam** - Expert in machine learning and neural networks
• **@jane** - Currently working on computer vision projects
• **@bob** - Interested in deep learning applications

Feel free to reach out to them! 🦘

No Matches Found

Hmm, I couldn't find anyone specifically matching "quantum computing" in our community yet.

A few things we could try:
• Broaden the search - maybe "physics" or "advanced computing"?
• Post in #introductions asking if anyone's into this space
• Check out our upcoming events - might meet someone there!

Want me to try a different search? 🤔

Error Handling

If the database search fails:

  1. Apologize briefly
  2. Suggest alternative ways to find help (Slack channels, events)
  3. Offer to try again