connections-optimizer

Original：🇺🇸 English

Translated

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.

2installs

Sourceaffaan-m/everything-claude-code

Added on2026-04-02

NPX Install

npx skill4agent add affaan-m/everything-claude-code connections-optimizer

SKILL.md Content

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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
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

X

mutuals are stickier than one-way follows
non-follow-backs can be pruned more aggressively
heavily inactive or disappeared accounts should surface quickly
engagement, signal quality, and bridge value matter more than raw follower count

LinkedIn

API-first if the user actually has LinkedIn API access
browser workflow must work when API access is missing
distinguish outbound follows from accepted 1st-degree connections
outbound follows can be pruned more freely
accepted 1st-degree connections should default to review, not auto-remove

Modes

light-pass

prune only high-confidence low-value one-way follows
surface the rest for review
generate a small add/follow list

default

balanced prune queue
balanced keep list
ranked add/follow queue
draft warm intros or direct outreach where useful

aggressive

larger prune queue
lower tolerance for stale non-follow-backs
still review-gated before apply

Scoring Model

Use these positive signals:

reciprocity
recent activity
alignment to current priorities
network bridge value
role relevance
real engagement history
recent presence and responsiveness

Use these negative signals:

disappeared or abandoned account
stale one-way follow
off-priority topic cluster
low-value noise
repeated non-response
no follow-back when many better replacements exist

Mutuals and real warm-path bridges should be penalized less aggressively than one-way follows.

Workflow

Capture priorities, do-not-touch constraints, and selected platforms.
Pull the current following / connection inventory.
Score prune candidates with explicit reasons.
Score keep candidates with explicit reasons.
Use
```
lead-intelligence
```
plus research surfaces to rank expansion candidates.
Match the right channel:
- X DM for warm, fast social touch points
- LinkedIn message for professional graph adjacency
- Apple Mail draft for higher-context intros or outreach
Run
```
brand-voice
```
before drafting messages.
Return a review pack before any apply step.

Review Pack Format

text

CONNECTIONS OPTIMIZER REPORT
============================

Mode:
Platforms:
Priority Set:

Prune Queue
- handle / profile
  reason:
  confidence:
  action:

Review Queue
- handle / profile
  reason:
  risk:

Keep / Protect
- handle / profile
  bridge value:

Add / Follow Targets
- person
  why now:
  warm path:
  preferred channel:

Drafts
- X DM:
- LinkedIn:
- Apple Mail:

Outbound Rules

Default email path is Apple Mail / Mail.app draft creation.
Do not send automatically.
Choose the channel based on warmth, relevance, and context depth.
Do not force a DM when an email or no outreach is the right move.
Drafts should sound like the user, not like automated sales copy.

Related Skills

```
brand-voice
```
for the reusable voice profile
```
lead-intelligence
```
for weighted target and warm-path discovery
```
x-api
```
for X graph access, drafting, and optional apply flows
```
content-engine
```
when the user also wants public launch content around network moves