connections-optimizer

# 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 ```text 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