connections-optimizer
OfficialReorganize 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.
What this skill does
When applied, it prepends a system prompt before your request is sent — no extra calls and no change to how you are billed beyond the added tokens.
--- 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. 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, ne
Use this skill
Add a "skill" field with the skill’s ID to your chat completion request. It is applied server-side before your prompt is sent — no extra calls.
{
"model": "gpt-4o-mini",
"skill": "imp-858f1655-2800-4087-ad5d-167f8078dda2",
"messages": [{ "role": "user", "content": "…" }]
}Install the skill, enable it in your dashboard and (optionally) limit it to specific models. It then applies automatically to every matching request — with no "skill" field to send each time.
Set it up in your dashboardMore skills
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