connections-optimizer
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.
npx skills add mturac/everything-openai-codex --skill connections-optimizer --agent codex
Same command for any agent — swap --agent for claude-code, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# 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 sc
- When to Activate
- Required Inputs
- Tool Requirements
- Preferred
- Fallbacks
- Safety Defaults
- Platform Rules
- X
- Modes
- light-pass
- default
- aggressive
- Scoring Model
What does the connections-optimizer skill do?
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.
How do I install it?
Run `npx skills add mturac/everything-openai-codex --skill connections-optimizer --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From mturac/everything-openai-codex, a repository with 84 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.