connections-optimizer
🤖 AI Summary
This skill analyzes a user’s social and professional network (X, LinkedIn) to prune low-value connections, identify high-value targets, and generate personalized drafts for warm outreach—turning a static follow list into an actionable, relationship-driven pipeline.
How to Install
Claude Code:
git clone --depth 1 https://github.com/affaan-m/ECC.git && cp ECC/skills/connections-optimizer ~/.claude/skills/connections-optimizer -r# 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
### 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 bridg
Details
| Category | Productivity → tools |
| Source | affaan-m/ECC |
| SKILL.md | View on GitHub → |
| Repo Stars | ★ 220.5K |
| Est. per Skill | N/A (shared across 121 skills from this repo) |
| Difficulty | Intermediate |
| Risk Level | N/A |
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