social-graph-ranker
Weighted social-graph ranking for warm intro discovery, bridge scoring, and network gap analysis across X and LinkedIn. Use when the user wants the reusable graph-ranking engine itself, not the broader outreach or network-maintenance workflow layered on top of it.
Best for Network-aware outreach plan…Works with GitHubLow risk
⌘source
- author
@affaan-m- language
- JavaScript
★159kstars
25kforks
Apr 17, 2026
✦overview.md
Key Features
- ·Rank existing connections by intro value
- ·Map warm paths to target lists
- ·Measure bridge value across connections
- ·Decide warm intros vs. cold outreach
- ·Understand graph math independently
Use Cases
- →Ranking mutual connections by who can provide the best introductions
- →Mapping your social graph against a specific target company or ICP
- →Identifying which connections serve as bridges to reach desired contacts
- →Determining whether to use warm introductions or direct outreach for specific targets
Best for
- ✓Network-aware outreach planning
- ✓Warm introduction discovery
- ✓Social graph analysis
Not ideal for
- !Full lead generation and outbound sequencing
- !Network pruning and growth management
FAQs
name
social-graph-ranker
description
Weighted social-graph ranking for warm intro discovery, bridge scoring, and network gap analysis across X and LinkedIn. Use when the user wants the reusable graph-ranking engine itself, not the broader outreach or network-maintenance workflow layered on top of it.
origin:ECC
Social Graph Ranker
Canonical weighted graph-ranking layer for network-aware outreach.
Use this when the user needs to:
- rank existing mutuals or connections by intro value
- map warm paths to a target list
- measure bridge value across first- and second-order connections
- decide which targets deserve warm intros versus direct cold outreach
- understand the graph math independently from
lead-intelligenceorconnections-optimizer
When To Use This Standalone
Choose this skill when the user primarily wants the ranking engine:
- "who in my network is best positioned to introduce me?"
- "rank my mutuals by who can get me to these people"
- "map my graph against this ICP"
- "show me the bridge math"
Do not use this by itself when the user really wants:
- full lead generation and outbound sequencing -> use
lead-intelligence - pruning, rebalancing, and growing the network -> use
connections-optimizer
Inputs
Collect or infer:
- target people, companies, or ICP definition
- the user's current graph on X, LinkedIn, or both
- weighting priorities such as role, industry, geography, and responsiveness
- traversal depth and decay tolerance
Core Model
Given:
$install
1-click copynpx skills add affaan-m/everything-claude-code --skill social-graph-rankerSafety assessment
★
Clarity score
How clear and easy to understand the SKILL.md instructions are, rated from 1 to 5.
3/ 5
goodMostly clear, but there are still a few confusing or poorly structured parts.
◎
Actionability score
How directly an agent can act on the SKILL.md instructions, rated from 1 to 5.
3/ 5
mediumPartially actionable with several concrete steps, but still missing important details.