# LinkedIn Thought Leadership Plugin — Roadmap **Current version:** v1.1.0 (April 2026) **Scope:** Planned improvements through Q4 2026 Items organized by quarter and track. Priority = Impact / Effort (High/Medium/Low). Items within each quarter ordered by priority. --- ## Q2 2026 (April-June) ### Onboarding & First-Run Experience **Priority: High** | **Effort: Low** - [x] First-run welcome flow in session-start hook - [x] Condensed getting-started menu for zero-post users in `/linkedin` router - [x] Readiness check in `/linkedin:post` and `/linkedin:quick` for unpersonalized state - [x] Inline 5x5x5 engagement ritual explanation - [x] `/linkedin:onboarding` — dedicated multi-step onboarding command that guides profile → setup → first-post as one flow - [x] README Quick Start refinement — 5-minute getting-started path with single `/linkedin:onboarding` entry point ### Content Quality **Priority: High** | **Effort: Medium** - [x] Enhanced voice-trainer agent: automatic drift scoring on every post draft (compare against voice samples) - [x] Content Matrix improvements: add industry-specific angle variants - [x] Carousel post support: structured multi-slide content generation with visual layout guidance - [x] `/linkedin:react` enhancement: multi-URL comparison posts (compare 2-3 articles) ### Analytics Pipeline **Priority: Medium** | **Effort: Medium** - [x] Automated week-rollover: session-start hook resets `posts_this_week` and updates `current_week` on week change - [x] Post-level heatmap generation: day-of-week performance matrix from imported CSV data (time-of-day not available in CSV export) - [x] `/linkedin:report` month-over-month comparison view ### Algorithm Reference Update (April 2026) **Priority: High** | **Effort: Low-Medium** LinkedIn's 2026 algorithm introduced significant changes since the January 360Brew update. The plugin's reference documents and commands need updating to reflect current data. - [x] Carousel optimal slide count: update from 12 to 7 slides (18% better performance). Updated `algorithm-signals-reference.md`, `carousel-templates.md`, `carousel.md` quality checklist - [x] Carousel reach multiplier: update from 1.6x to 3.4x vs single-image. Clarified engagement rate (24.42% was PDF-specific, carousel-specific is 1.92%). Added 35% click-through threshold penalty - [x] Video format overhaul: vertical 9:16 gets distribution boost (3-4x watch duration vs landscape). Updated recommended max from 90s to 60s. Added 30% completion rate gate. Updated 12 files - [x] Depth Score concept: added new section to `algorithm-signals-reference.md` — LinkedIn's primary ranking metric measuring actual engagement duration - [x] Delayed engagement boost: added 4-6x boost for 24-72h post-publication engagement. Updated distribution model - [x] 90-day topic alignment requirement: updated 360Brew validation section with 90-day categorization requirement - [x] Organic reach decline context: added "2026 Reach Context" section (-47% YoY overall, -72% video, -34% text) - [x] Engagement pod detection hardened: strengthened negative signals and red flags with LinkedIn VP statement and detection mechanisms --- ## Q3 2026 (July-September) ### Claude Code Platform Integration **Priority: High** | **Effort: Medium-High** - [ ] Hook event expansion: leverage new Claude Code hook events as they become available for richer automation - [ ] Subagent improvements: parallel content generation in `/linkedin:batch` using Claude Code's evolving subagent capabilities - [ ] MCP server for analytics: expose analytics data as MCP resources for cross-plugin access - *Blocked on:* Claude Code MCP server authoring stabilization ### Analytics & Intelligence **Priority: High** | **Effort: Medium** - [ ] Trend detection across 4+ weeks of imported data (analytics-interpreter agent) - [ ] Benchmark database: anonymized performance baselines by niche and follower count - [ ] A/B test auto-analysis: when experiment duration ends, surface winner with statistical confidence - [ ] Content fatigue detection: alert when engagement drops on a recurring content pillar ### Content Strategy **Priority: Medium** | **Effort: Medium** - [ ] Video-first strategy: LinkedIn prioritizes native video — add video-specific hooks and scheduling guidance - [ ] AI-generated image support via MCP image tools for post visuals and carousel slides - [ ] Multi-language support: translate posts while preserving voice characteristics - *Blocked on:* Voice profile internationalization design --- ## Q4 2026 (October-December) ### Advanced Content **Priority: Medium** | **Effort: High** - [ ] LinkedIn Newsletter integration: `/linkedin:newsletter` command for long-form content strategy (requires 5K+ followers gate) - [ ] LinkedIn Article workflow: `/linkedin:article` with SEO optimization for LinkedIn's article platform - [ ] Seasonal content library: pre-built content hooks for recurring Q1-Q4 events and industry moments - [ ] Document/PDF carousel generation: create downloadable slide decks from post content ### Architecture & Reliability **Priority: Medium** | **Effort: Medium** - [ ] State file schema migration tool: handle breaking changes between plugin versions gracefully - [ ] Hook performance audit: measure execution time per hook, identify bottlenecks - [ ] E2E test suite for hooks: automated testing beyond the analytics pipeline - [ ] Plugin self-update check: compare installed version against marketplace version ### Growth & Monetization **Priority: Low** | **Effort: Medium** - [ ] Competitor tracking persistence: store competitive analysis results for trend comparison over time - [ ] Lead generation templates: content-to-DM pipeline for consulting/speaking inquiries - [ ] Collaboration matching: suggest collaboration partners based on audience overlap analysis --- ## Deprioritized (Not in 2026 scope) | Item | Reason | |------|--------| | LinkedIn API direct posting | No official posting API available; copy-paste workflow is intentional and avoids ToS issues | | Multi-user / team support | Designed for individual thought leaders; team features would change the architecture fundamentally | | Real-time analytics streaming | LinkedIn doesn't expose streaming data; CSV export is the only reliable data source | | Automated engagement (auto-like, auto-comment) | Violates LinkedIn Terms of Service; plugin explicitly avoids this | | OAuth login for LinkedIn data | LinkedIn's API access is restrictive; manual CSV export is more reliable and privacy-respecting | --- ## Dependencies on External Development | Dependency | Impacts | Status | |------------|---------|--------| | Claude Code hook events (new event types) | Q3 automation improvements | Monitor Claude Code changelogs | | Claude Code MCP server authoring | Q3 analytics MCP server | In development (as of April 2026) | | Claude Code subagent API stability | Q3 batch generation | Available but evolving | | LinkedIn CSV export format stability | All analytics features | Stable (no changes since Jan 2026) | | MCP image generation tools | Q3 visual content | Available via mcp-image | --- ## How to Contribute Ideas File an issue at the plugin's marketplace repository. Bug reports and feature requests are welcome.