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connections-optimizer

★ 220K repotoolsN/AIntermediateClaude
🤖 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
Sourceaffaan-m/ECC
SKILL.mdView on GitHub →
Repo Stars★ 220.5K
Est. per SkillN/A (shared across 121 skills from this repo)
DifficultyIntermediate
Risk LevelN/A

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