New: 98,000+ skills indexed from GitHub repos with 100+ stars · every skill safety-checkedBrowse top skillsTop skills
Esc to closeBrowse all skills
Submit a skillBrowse skills
Submit a skillBrowse skills

Agent skill

Social Graph Ranker

by affaan-m in affaan-m/ECC

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

MITAuto-check passed

Install Social Graph Ranker

skills CLI
$ npx skills add affaan-m/ECC --skill social-graph-ranker -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install affaan-m/ECC social-graph-ranker --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/affaan-m/ECC.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/social-graph-ranker .claude/skills/social-graph-ranker && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
social-graph-ranker
GitHub stars
277k
Used in
1 other repo
Token cost
~1k tokens
SKILL.md length
460 words
Files
1
Skills in repo
683
Repo updated
First seen
Licence
MIT

At a glance

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

  • Works in 6 steps: Build the weighted target set. → Pull the user's graph from X, LinkedIn,… → Compute direct bridge scores. → …
  • The user wants the reusable graph-ranking engine itself
  • SKILL.md covers When To Use This Standalone, Inputs, Core Model and Scoring Signals, plus 3 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Social Graph Ranker is an agent skill from affaan-m/ECC. 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.

Its SKILL.md is about 1k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It works with LinkedIn. The repository describes itself as: The agent harness performance optimization system. Skills, instincts, memory, security, and research-first development for Claude Code, Codex, Opencode, Cursor and beyond. The licence is MIT.

When your agent uses it

  • The user wants the reusable graph-ranking engine itself
  • Not the broader outreach
  • Network-maintenance workflow layered on top of it

Example prompts

  • “/social-graph-ranker”

Workflow steps

6 steps, taken from the first numbered list in SKILL.md.

  1. Build the weighted target set.
  2. Pull the user's graph from X, LinkedIn, or both.
  3. Compute direct bridge scores.
  4. Expand second-order candidates for the highest-value mutuals.
  5. Rank by R(m).
  6. Return

What it can do on your machine

Read from SKILL.md and the folder at commit 2d515e4. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Social Graph Ranker loads about 1k tokens when it runs. Until then it costs about 71 tokens; SKILL.md has 460 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~71
When it runs · the whole SKILL.md, loaded when a task matches
~1k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from affaan-m/ECC at commit 2d515e4, republished under its MIT licence (© affaan-m). 460 words, ~1,034 tokens.

Download SKILL.mdSave it as .claude/skills/social-graph-ranker/SKILL.md (or your agent's skills folder).
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

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-intelligence or connections-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:

  • T = weighted target set
  • M = your current mutuals / direct connections
  • d(m, t) = shortest hop distance from mutual m to target t
  • w(t) = target weight from signal scoring

Base bridge score:

text
B(m) = Σ_{t ∈ T} w(t) · λ^(d(m,t) - 1)

Where:

  • λ is the decay factor, usually 0.5
  • a direct path contributes full value
  • each extra hop halves the contribution

Second-order expansion:

text
B_ext(m) = B(m) + α · Σ_{m' ∈ N(m) \\ M} Σ_{t ∈ T} w(t) · λ^(d(m',t))

Where:

  • N(m) \\ M is the set of people the mutual knows that you do not
  • α discounts second-order reach, usually 0.3

Response-adjusted final ranking:

text
R(m) = B_ext(m) · (1 + β · engagement(m))

Where:

  • engagement(m) is normalized responsiveness or relationship strength
  • β is the engagement bonus, usually 0.2

Interpretation:

  • Tier 1: high R(m) and direct bridge paths -> warm intro asks
  • Tier 2: medium R(m) and one-hop bridge paths -> conditional intro asks
  • Tier 3: low R(m) or no viable bridge -> direct outreach or follow-gap fill
Show full SKILL.md (163 more words)Show less

Scoring Signals

Weight targets before graph traversal with whatever matters for the current priority set:

  • role or title alignment
  • company or industry fit
  • current activity and recency
  • geographic relevance
  • influence or reach
  • likelihood of response

Weight mutuals after traversal with:

  • number of weighted paths into the target set
  • directness of those paths
  • responsiveness or prior interaction history
  • contextual fit for making the intro

Workflow

  1. Build the weighted target set.
  2. Pull the user's graph from X, LinkedIn, or both.
  3. Compute direct bridge scores.
  4. Expand second-order candidates for the highest-value mutuals.
  5. Rank by R(m).
  6. Return:
    • best warm intro asks
    • conditional bridge paths
    • graph gaps where no warm path exists

Output Shape

text
SOCIAL GRAPH RANKING
====================

Priority Set:
Platforms:
Decay Model:

Top Bridges
- mutual / connection
  base_score:
  extended_score:
  best_targets:
  path_summary:
  recommended_action:

Conditional Paths
- mutual / connection
  reason:
  extra hop cost:

No Warm Path
- target
  recommendation: direct outreach / fill graph gap
  • lead-intelligence uses this ranking model inside the broader target-discovery and outreach pipeline
  • connections-optimizer uses the same bridge logic when deciding who to keep, prune, or add
  • brand-voice should run before drafting any intro request or direct outreach
  • x-api provides X graph access and optional execution paths

© affaan-m, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in skills/social-graph-ranker of affaan-m/ECC.

Open the folder on GitHubat commit 2d515e4

Used in 1 other repository

We found 1 copy of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in affaan-m/ECC, which our catalogue first saw on October 7, 2026.

Compare with similar skills

Social Graph Ranker next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Social Graph Ranker compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Social Graph Ranker this skillaffaan-m/ECC277k1 repos~1kAutomated safety check: PassMIT
Socialcoreyhaines31/marketingskills54k4 repos~4.5kAutomated safety check: PassMIT
Banner Design Systemnextlevelbuilder/ui-ux-pro-max-skill135k1 repos~1.8kAutomated safety check: PassMIT
Agent ReachPanniantong/Agent-Reach95k—~1.4kAutomated safety check: PassMIT
Ad CreativeLeoYeAI/openclaw-marketing-skills1k8 repos~3.4kAutomated safety check: PassCustom licence
Social Contentfreekmurze/dotfiles1k23 repos~2.1kAutomated safety check: PassNone

Similar skills

  • Social

    coreyhaines31/marketingskills

    When the user wants help creating, scheduling, or optimizing social media content for LinkedIn, Twitter/X, Instagram, TikTok, or Facebook, or wants to do social listening and engagement triage.

    54k GitHub starsUsed in 4 repos~4.5k tokens
    Writing & ContentAuto-check passed

  • Banner Design System

    nextlevelbuilder/ui-ux-pro-max-skill

    Walks through designing a banner for social media, ads, a website hero or print, from gathering requirements to building 2 or 3 art-direction options in HTML and CSS.

    135k GitHub starsUsed in 1 repo~1.8k tokens
    Frontend & DesignAuto-check passed

  • Agent Reach

    Panniantong/Agent-Reach

    Routes web research and platform lookups across 16 sites, including Twitter, Reddit, YouTube, Bilibili, Xiaohongshu and GitHub, through one command-line tool.

    95k GitHub stars~1.4k tokensUpdated 3 days ago
    Productivity & AutomationAuto-check passed

  • Ad Creative

    LeoYeAI/openclaw-marketing-skills

    When the user wants to generate, iterate, or scale ad creative — headlines, descriptions, primary text, or full ad variations — for any paid advertising platform.

    1k GitHub starsUsed in 8 repos~3.4k tokens
    Marketing & SEOAuto-check passed

  • Social Content

    freekmurze/dotfiles

    When the user wants help creating, scheduling, or optimizing social media content for LinkedIn, Twitter/X, Instagram, TikTok, Facebook, or other platforms.

    1k GitHub starsUsed in 23 repos~2.1k tokens
    Writing & ContentAuto-check passed

  • Linkedin Marketing

    sergebulaev/linkedin-skills

    Plan, draft, audit, and publish LinkedIn posts and comments.

    4.4k GitHub starsUsed in 1 repo~3.2k tokens
    Writing & ContentAuto-check: notes

More from affaan-m/ECC

All 682 skills in this repo

  • Skill Stocktake

    affaan-m/ECC

    Audits your installed Claude skills and commands for quality, with a quick mode for recently changed skills and a full mode that evaluates all of them through subagents.

    277k GitHub starsUsed in 5 repos~3.1k tokens
    Auto-check passed

  • VideoDB Video Search and Editing

    affaan-m/ECC

    Ingests, indexes, searches, edits and monitors video, audio and live streams through the VideoDB Python SDK, returning stream links, clips and timestamps.

    277k GitHub starsUsed in 3 repos~3.5k tokens
    Auto-check: notes

  • Docs Governance

    affaan-m/ECC

    Route broad documentation-governance requests to existing ECC skills and run an opt-in, read-only audit of mapped documentation roles, links, ADR indexes, and evidence references.

    277k GitHub stars~1.1k tokensUpdated today
    Auto-check passed

  • Rules Distillation

    affaan-m/ECC

    Scans installed skills for principles that recur across them and proposes rule-file changes: append, revise, add a section, create a file or leave as covered.

    277k GitHub starsUsed in 2 repos~2.3k tokens
    Auto-check passed

  • Master Agreement Generator

    affaan-m/ECC

    Builds DRAFT counterparty agreements from one markdown template and a small JSON spec per party, with clauses picked by the party's role.

    277k GitHub stars~2.9k tokensUpdated today
    Auto-check passed

  • Frontend Design Direction

    affaan-m/ECC

    Set an ECC-specific frontend design direction for production UI work.

    277k GitHub starsUsed in 1 repo~2.2k tokens
    Auto-check passed

Works with

Questions about Social Graph Ranker

What does Social Graph Ranker do?

Weighted social-graph ranking for warm intro discovery, bridge scoring, and network gap analysis across X and LinkedIn. Social Graph Ranker is an agent skill from affaan-m/ECC. Weighted social-graph ranking for warm intro discovery, bridge scoring, and network gap analysis across X and LinkedIn.

When should I use Social Graph Ranker?

Social Graph Ranker fits situations like: the user wants the reusable graph-ranking engine itself; not the broader outreach; network-maintenance workflow layered on top of it.

How do I install Social Graph Ranker in Claude Code?

Run `npx skills add affaan-m/ECC --skill social-graph-ranker -a claude-code`. Or copy the skill folder (skills/social-graph-ranker in affaan-m/ECC) into .claude/skills/social-graph-ranker in your project. Claude Code loads it when a task matches its description.

How do I install Social Graph Ranker in Codex?

Run `npx skills add affaan-m/ECC --skill social-graph-ranker -a codex`. Or copy the skill folder (skills/social-graph-ranker in affaan-m/ECC) into .agents/skills/social-graph-ranker in your project. Codex loads it when a task matches its description.

Can I use Social Graph Ranker in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add affaan-m/ECC --skill social-graph-ranker -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/social-graph-ranker, .gemini/skills/social-graph-ranker, .github/skills/social-graph-ranker and .opencode/skills/social-graph-ranker in your project.

What does Social Graph Ranker need to run?

SKILL.md names no scripts, command-line tools or credentials: Social Graph Ranker is instructions for the agent only.

Does Social Graph Ranker access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Social Graph Ranker safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Social Graph Ranker use?

Social Graph Ranker is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Social Graph Ranker use?

About 1k tokens (SKILL.md is roughly 4.1k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Social Graph Ranker?

Skills that share tags, products or a category with Social Graph Ranker: Social (coreyhaines31/marketingskills, 54k stars), Banner Design System (nextlevelbuilder/ui-ux-pro-max-skill, 135k stars), Agent Reach (Panniantong/Agent-Reach, 95k stars) and Ad Creative (LeoYeAI/openclaw-marketing-skills, 1k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Social Graph Ranker?

affaan-m (a GitHub user) maintains it in affaan-m/ECC, which has 276,673 GitHub stars. The repository holds 683 skills in this directory. The repository was last updated on October 11, 2026.

Source: affaan-m/ECC on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.