social-graph-ranker

Rank shared connections by introduction value using weighted graph scoring.

8.4k|1.4k|Updated Apr 24, 2024
One-click install
npx skills add https://github.com/TeamWiseFlow/wiseflow --skill social-graph-ranker-teamwiseflow
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: social-graph-ranker
Source: https://github.com/TeamWiseFlow/wiseflow/tree/main/addons/officials/skills/social-graph-ranker
Command: npx skills add https://github.com/TeamWiseFlow/wiseflow --skill social-graph-ranker-teamwiseflow

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill solves the problem of figuring out which people in your existing network are most likely to introduce you to high-value targets with the best warmth and bridge value.

Core Features & Use Cases

  • Weighted social-graph ranking: Scores shared connections by a weighted, decayed-path model to prioritize “warmest” routes.
  • Direct + second-order expansion: Extends base bridge scores by considering one-hop coverage through people you don’t already know.
  • Action-oriented outputs: Produces a ranked list of top warm introduction candidates, conditional paths, and targets with no warm path (gap-filling vs cold outreach).

Quick Start

Use the social-graph-ranker skill to rank your LinkedIn shared connections by introduction value toward a target company and output the recommended warm-intro candidates.

Frequently Asked Questions about social-graph-ranker

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
What is warm introduction ranking and how does social graph scoring work?

Warm introduction ranking uses weighted social graph scoring to evaluate shared connections, applying decay across path hops to prioritize the warmest routes to target people or ICP profiles. It assesses bridge value to identify the best paths in professional networks.

How do I rank my LinkedIn connections by introduction value to a target company?

To rank LinkedIn connections by introduction value, input your target company or ICP profiles into the social graph ranker. It outputs a ranked list of warm introduction candidates based on weighted connection scores and optional second-order expansion.

What's the best way to find warm paths to target people I don't already know?

The best way to find warm paths to unknown targets is using second-order expansion. This extends base bridge scores by evaluating one-hop coverage through mutual connections, identifying viable introduction routes to people outside your direct network.

Can I use this social graph ranker for BD prioritization and gap-filling?

Yes, you can use the social graph ranker for BD prioritization. It produces engagement-based re-ranking outputs and identifies targets with no warm path, allowing you to separate gap-filling outreach from warm introduction opportunities.

Does the introduction ranking model work without direct connections to the target?

The introduction ranking model works without direct connections by using optional second-order expansion. It calculates bridge value through one-hop coverage via intermediaries, enabling path planning even when you lack direct links to target companies or ICP profiles.

When should I use cold outreach instead of warm introduction path planning?

You should use cold outreach when the social graph ranker identifies targets with no warm path available. These gap-filling scenarios occur when weighted graph scoring and second-order expansion fail to find viable bridge connections to specific ICP profiles.