Workflow·Sales & CRM

Social Graph Ranker

Weighted social-graph ranking for warm intro discovery, bridge scoring, and network gap analysis across X and LinkedIn.

You say
Buy it · $99 Read it before you buy $99 Written by affaan-m · unverified publisher
Context cost
1.1k tokensestimated from the bundle, loaded when it triggers
Bundle
1 file · 4.2 kBtext throughout, nothing executable
Licence
MITpaid listing
Last change
no release on file
Servers it uses
Noneruns standalone

What it does

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.

Installed, it changes the agent in these ways.

What this skill changes about the agent is not written down here yet. The listing was collected from its source, and the description is in its own SKILL.md.

Workflow

Runs a procedure end to end.

marketing
Filed under

Sales & CRM

The skill itself

This is the whole product. A skill is instructions the model reads, so there is nothing behind the listing you cannot see first — the front matter loads with every session, and the body below it loads when the skill triggers.

SKILL.md4.2 kB · 156 lines
--- 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. metadata: origin: ECC ---
8# Social Graph Ranker
9
10Canonical weighted graph-ranking layer for network-aware outreach.
11
12Use this when the user needs to:
13
14- rank existing mutuals or connections by intro value
15- map warm paths to a target list
16- measure bridge value across first- and second-order connections
17- decide which targets deserve warm intros versus direct cold outreach
18- understand the graph math independently from lead-intelligence or connections-optimizer
19
20## When To Use This Standalone
21
22Choose this skill when the user primarily wants the ranking engine:
23
24- "who in my network is best positioned to introduce me?"
25- "rank my mutuals by who can get me to these people"
26- "map my graph against this ICP"
27- "show me the bridge math"
28
29Do not use this by itself when the user really wants:
30
31- full lead generation and outbound sequencing -> use lead-intelligence
32- pruning, rebalancing, and growing the network -> use connections-optimizer
33
34## Inputs
35
36Collect or infer:
37
38- target people, companies, or ICP definition
39- the user's current graph on X, LinkedIn, or both
40- weighting priorities such as role, industry, geography, and responsiveness
41- traversal depth and decay tolerance
42
43## Core Model
44
45Given:
46
47- T = weighted target set
48- M = your current mutuals / direct connections
49- d(m, t) = shortest hop distance from mutual m to target t
50- w(t) = target weight from signal scoring
51
52Base bridge score:
53
54```text
55B(m) = Σ_{t ∈ T} w(t) · λ^(d(m,t) - 1)
56```
57
58Where:
59
60- λ is the decay factor, usually 0.5
61- a direct path contributes full value
62- each extra hop halves the contribution
63
64Second-order expansion:
65
66```text
67B_ext(m) = B(m) + α · Σ_{m' ∈ N(m) \\ M} Σ_{t ∈ T} w(t) · λ^(d(m',t))
68```
69
70Where:
71
72- N(m) \\ M is the set of people the mutual knows that you do not
73- α discounts second-order reach, usually 0.3
74
75Response-adjusted final ranking:
76
77```text
78R(m) = B_ext(m) · (1 + β · engagement(m))
79```
80
81Where:
82
83- engagement(m) is normalized responsiveness or relationship strength
84- β is the engagement bonus, usually 0.2
85
86Interpretation:
87
88- Tier 1: high R(m) and direct bridge paths -> warm intro asks
89- Tier 2: medium R(m) and one-hop bridge paths -> conditional intro asks
90- Tier 3: low R(m) or no viable bridge -> direct outreach or follow-gap fill
91
92## Scoring Signals
93
94Weight targets before graph traversal with whatever matters for the current priority set:
95
96- role or title alignment
97- company or industry fit
98- current activity and recency
99- geographic relevance
100- influence or reach
101- likelihood of response
102
103Weight mutuals after traversal with:
104
105- number of weighted paths into the target set
106- directness of those paths
107- responsiveness or prior interaction history
108- contextual fit for making the intro
109
110## Workflow
111
1121. Build the weighted target set.
1132. Pull the user's graph from X, LinkedIn, or both.
1143. Compute direct bridge scores.
1154. Expand second-order candidates for the highest-value mutuals.
1165. Rank by R(m).
1176. Return:
118 - best warm intro asks
119 - conditional bridge paths
120 - graph gaps where no warm path exists
121
122## Output Shape
123
124```text
125SOCIAL GRAPH RANKING
126====================
127
128Priority Set:
129Platforms:
130Decay Model:
131
132Top Bridges
133- mutual / connection
134 base_score:
135 extended_score:
136 best_targets:
137 path_summary:
138 recommended_action:
139
140Conditional Paths
141- mutual / connection
142 reason:
143 extra hop cost:
144
145No Warm Path
146- target
147 recommendation: direct outreach / fill graph gap
148```
149
150## Related Skills
151
152- lead-intelligence uses this ranking model inside the broader target-discovery and outreach pipeline
153- connections-optimizer uses the same bridge logic when deciding who to keep, prune, or add
154- brand-voice should run before drafting any intro request or direct outreach
155- x-api provides X graph access and optional execution paths
156
In the file
SKILL.md658 words
Files1
LicenceMIT
Why you can read it

Nothing in a skill executes. The client loads the text and the model follows it, so a skill can be audited the way a runbook is — by reading it.

What it costs in context

Skills are not billed by the call. They are paid for in context: every token the instructions occupy is a token your code, your diff and your conversation cannot use. Here is what this one takes and when it takes it.

≈80
always loaded
The name and description, so the model knows the skill exists and when to reach for it.
970
on trigger
The instruction body, read only when the skill fires.
0.53%
of a 200k window
Ten skills this size would take about 5% of the window before you open a file.
050k100k150k200k context window

1.1k tokens, estimated from the bundle at four bytes to the token, held for the rest of the session once it triggers. Small enough to keep loaded permanently without thinking about it.

Servers bill, skills cost

A server charges by the month. A skill charges once per session, in context, and then keeps charging it for as long as the session lives.

Before and after

The same question, put to the same model twice: once as it comes, and once with these instructions loaded.

No worked example has been published for this skill yet.

Adoption
Installsnone yet
Ratingno reviews yet

The procedure it runs

The procedure has not been published here. It is in the skill’s own SKILL.md, which its author has not sent to the marketplace yet.

Prose, not code

These steps are written for a model to follow, not executed by a runtime. It can still be told to skip one, and it will say so when it does.

Servers it uses

None. This skill calls no MCP servers at all.

Everything it needs is in the instructions, so it works in a project with nothing connected — the model reads the file and changes how it works with what it can already reach.

It writes no files and reaches no network. All it changes is how the model reasons and writes.

What it asks for
Writes filesno
Network accessno

Read from the allowed-tools line of this skill’s own SKILL.md. A skill grants no permissions of its own — it can only ask for tools your client already has.

What it will not do

Every skill is narrow, and the useful ones say where they stop. These are the jobs this one is the wrong tool for.

What this skill is not for has not been published here. Nothing is implied by that: it is a section the author has not filled in.

What is in the bundle

1 file, 4.2 kB on disk. A bundle is text throughout: the instructions the model reads, plus the templates it fills in.

  • SKILL.md4.2 kB
What is not in it

No dependencies and nothing executable: a skill is text the agent reads, so the bundle is 1 file you can review in full before installing. The MIT licence covers the templates and examples as well as the instructions.

Install

Installing copies the bundle into your project. Nothing runs at install time — the files sit on disk until the model reads them.

$99 once
Social Graph Ranker · MIT · affaan-m
one-time
Price$99 once
LicenceMIT — the author’s, unchanged by this purchase
Paid throughStripe, once, on the card you add at the checkout
Keeps workingfor good — the files are yours once they are on disk
Updatesevery update its author ships, delivered through this account

You can read the whole bundle before paying — the SKILL.md above is the product, not a preview of it. What the money buys is the delivery: the folder packaged and handed to your machine by key, every update its author ships, and our support if it does not do what this listing says. The terms of use are MIT, set by the author and unchanged by buying it here.

Payment runs through Stripe, on a page like this one rather than a redirect. Once there is an account it joins the same mcprush invoice as everything else you run, so there is never a second card to enter.

Which clients pick it up on their own

A skill is a folder of text. A client with a skills folder reads it without being told; everywhere else the same text works, it is just handed to the model rather than found.

Claude Code.claude/skills/
Claude Desktop
ChatGPT
Cursor.cursor/skills/
VS Code.github/skills/
Codex CLI.agents/skills/
Gemini CLI.gemini/skills/
Grok.grok/skills/
Zed.agents/skills/
Windsurf.windsurf/skills/
Agent SDK.claude/skills/
HTTP / API
This release
Versionnot versioned
Publishedno release date on file
Price$99
Referenceaffaan-m/social-graph-ranker

Versions

Its author publishes no version number, so there is nothing here to pin to: what you install is the folder as it stands today. Instructions change more often than APIs do — a skill can be rewritten entirely without anything it depends on moving.

v
  • No earlier releases have been published to the marketplace.
Pinning

Nothing to pin to: this skill carries no version number of its own. What you install is what the folder holds on the day you install it.

Reviews

no reviews yet · no installs yet

Nobody has reviewed this skill yet. The rating is the mean of the reviews written here, so there is none until somebody writes the first.

Who can post

Only accounts that have had the skill installed for fourteen days, so a review is written after living with it rather than after reading it. Publishers may reply once.

Publisher
Servers0