Reorganize the user's X and LinkedIn network with review-first pruning, add/follow recommendations, and channel-specific warm outreach drafted in the user's real voice. Use when the user wants to clean up following lists, grow toward current priorities, or rebalance a social graph around higher-signal relationships.
Scanned 9/19/2026
Install to Claude Code
npx -y skills add majinmagros/magros.ai-skills --skill connections-optimizer --agent claude-codeInstalls into .claude/skills of the current project.
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---
name: connections-optimizer
description: Reorganize the user's X and LinkedIn network with review-first pruning, add/follow recommendations, and channel-specific warm outreach drafted in the user's real voice. Use when the user wants to clean up following lists, grow toward current priorities, or rebalance a social graph around higher-signal relationships.
metadata:
origin: ECC
---
# Connections Optimizer
Reorganize the user's network instead of treating outbound as a one-way prospecting list.
This skill handles:
- X following cleanup and expansion
- LinkedIn follow and connection analysis
- review-first prune queues
- add and follow recommendations
- warm-path identification
- Apple Mail, X DM, and LinkedIn draft generation in the user's real voice
## When to Activate
- the user wants to prune their X following
- the user wants to rebalance who they follow or stay connected to
- the user says "clean up my network", "who should I unfollow", "who should I follow", "who should I reconnect with"
- outreach quality depends on network structure, not just cold list generation
## Required Inputs
Collect or infer:
- current priorities and active work
- target roles, industries, geos, or ecosystems
- platform selection: X, LinkedIn, or both
- do-not-touch list
- mode: `light-pass`, `default`, or `aggressive`
If the user does not specify a mode, use `default`.
## Tool Requirements
### Preferred
- `x-api` for X graph inspection and recent activity
- `lead-intelligence` for target discovery and warm-path ranking
- `social-graph-ranker` when the user wants bridge value scored independently of the broader lead workflow
- Exa / deep research for person and company enrichment
- `brand-voice` before drafting outbound
### Fallbacks
- browser control for LinkedIn analysis and drafting
- browser control for X if API coverage is constrained
- Apple Mail or Mail.app drafting via desktop automation when email is the right channel
## Safety Defaults
- default is review-first, never blind auto-pruning
- X: prune only accounts the user follows, never followers
- LinkedIn: treat 1st-degree connection removal as manual-review-first
- do not auto-send DMs, invites, or emails
- emit a ranked action plan and drafts before any apply step
## Platform Rules
## Exemplo
```text
Pedido: "limpa meu X, quero mais sinal de IA aplicada"
Modo default: fila review-first — 40 unfollows propostos, 15 follows novos, 5 reconexões
Drafts na voz do usuário via brand-voice; nada enviado sem aprovar
Regra: poda só quem segue; LinkedIn 1º grau sempre revisão manual
```
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