Social Graph Tracking

Build and maintain a social graph of ATProtocol relationships and interactions.

23|1|Updated Jan 24, 2026
One-click install
npx skills add https://github.com/cpfiffer/central --skill social-graph-tracking
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: Social Graph Tracking
Source: https://github.com/cpfiffer/central/tree/main/.skills/social-graph-tracking
Command: npx skills add https://github.com/cpfiffer/central --skill social-graph-tracking

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Tracking relationships and interactions on ATProtocol to reveal engagement insights across a network of follows, followers, and exchanges.

Core Features & Use Cases

  • Build and maintain a social graph of handles with DID, display names, and relationship types (i_follow, follows_me, mutuals).
  • Analyze engagement through interaction counts and identify high-value connections.
  • Query and inspect individuals to inform outreach, growth experiments, or collaboration opportunities.

Quick Start

Update the social graph data by running uv run python -m tools.social update.

Frequently Asked Questions about Social Graph Tracking

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

FAQPage Schema
How do I track ATProtocol follows and followers for engagement analytics?

A social graph maps ATProtocol relationships by linking handles, DIDs, and relationship types such as i_follow, follows_me, and mutuals. This structure allows you to compute interaction counts and identify high-value connections across the network.

How do I build a social graph of ATProtocol relationships in Python?

You can build an ATProtocol social graph in Python by running the provided update module to compute and store relationship data. The implementation processes handles, DIDs, and interaction counts to present a structured view of your network growth.

How do I update my social graph data for network growth monitoring?

You update your social graph data for network growth monitoring by running the provided Python module command. This action computes the latest ATProtocol follows, followers, and interaction data to refresh your relationship insights.

Does this social graph tracking require any external dependencies?

No external dependencies are required to run this social graph tracking. It operates independently through internal Python modules to compute, store, and present ATProtocol relationship data without needing additional packages.