connections-optimizer

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. metadata {"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, 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 Capture priorities, do-not-touch constraints, and selected platforms. Pull the current following / connection inventory. Score prune candidates with explicit reasons. Score keep candidates with explicit reasons. Use lead-intelligence plus research surfaces to rank expansion candidates. 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 Run brand-voice before drafting messages. Return a review pack before any apply step. Review Pack Format CONNECTIONS OPTIMIZER REPORT ============================ Mode: Platforms: Priority Set: Prune Queue - handle / profile reason: confidence: action: Review Queue - handle / profile reason: risk: Keep / Protect - handle / profile bridge value: Add / Follow Targets - person why now: warm path: preferred channel: Drafts - X DM: - LinkedIn: - Apple Mail: 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