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-sign

By affaan-m · 2,817 installs

npx skills add affaan-m/ecc --skill connections-optimizer

Source repository · Upstream listing

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 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 1. Capture priorities, do not touch constraints, and selected platforms. 2. Pull the current following / connection inventory. 3. Score prune candidates with explicit reasons. 4. Score keep candidates with explicit reasons. 5. Use lead intelligence plus research surfaces to rank expansion candidates. 6. 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 7. Run brand voice before drafting messages. 8. Return a review pack before any apply step. Review Pack Format 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 social graph ranker for the standalone bridge scoring and warm path math 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