feat(skills): add brand voice and network ops lanes

skills/connections-optimizer/SKILL.md

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+---
+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
+- 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
+- `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