chore: add root .gitignore, untrack session state files
REMEMBER.md, TODO.md, and ROADMAP.md are local session state files that should not be tracked in git. Untrack the two previously committed ROADMAP.md files (linkedin, ultraplan) and add root .gitignore to prevent future tracking. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
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Kjell Tore Guttormsen
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# LinkedIn Thought Leadership Plugin — Roadmap
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**Current version:** v1.1.0 (April 2026)
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**Scope:** Planned improvements through Q4 2026
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Items organized by quarter and track. Priority = Impact / Effort (High/Medium/Low). Items within each quarter ordered by priority.
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---
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## Q2 2026 (April-June)
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### Onboarding & First-Run Experience
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**Priority: High** | **Effort: Low**
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- [x] First-run welcome flow in session-start hook
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- [x] Condensed getting-started menu for zero-post users in `/linkedin` router
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- [x] Readiness check in `/linkedin:post` and `/linkedin:quick` for unpersonalized state
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- [x] Inline 5x5x5 engagement ritual explanation
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- [x] `/linkedin:onboarding` — dedicated multi-step onboarding command that guides profile → setup → first-post as one flow
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- [x] README Quick Start refinement — 5-minute getting-started path with single `/linkedin:onboarding` entry point
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### Content Quality
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**Priority: High** | **Effort: Medium**
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- [x] Enhanced voice-trainer agent: automatic drift scoring on every post draft (compare against voice samples)
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- [x] Content Matrix improvements: add industry-specific angle variants
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- [x] Carousel post support: structured multi-slide content generation with visual layout guidance
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- [x] `/linkedin:react` enhancement: multi-URL comparison posts (compare 2-3 articles)
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### Analytics Pipeline
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**Priority: Medium** | **Effort: Medium**
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- [x] Automated week-rollover: session-start hook resets `posts_this_week` and updates `current_week` on week change
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- [x] Post-level heatmap generation: day-of-week performance matrix from imported CSV data (time-of-day not available in CSV export)
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- [x] `/linkedin:report` month-over-month comparison view
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### Algorithm Reference Update (April 2026)
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**Priority: High** | **Effort: Low-Medium**
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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.
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- [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
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- [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
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- [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
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- [x] Depth Score concept: added new section to `algorithm-signals-reference.md` — LinkedIn's primary ranking metric measuring actual engagement duration
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- [x] Delayed engagement boost: added 4-6x boost for 24-72h post-publication engagement. Updated distribution model
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- [x] 90-day topic alignment requirement: updated 360Brew validation section with 90-day categorization requirement
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- [x] Organic reach decline context: added "2026 Reach Context" section (-47% YoY overall, -72% video, -34% text)
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- [x] Engagement pod detection hardened: strengthened negative signals and red flags with LinkedIn VP statement and detection mechanisms
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---
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## Q3 2026 (July-September)
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### Claude Code Platform Integration
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**Priority: High** | **Effort: Medium-High**
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- [ ] Hook event expansion: leverage new Claude Code hook events as they become available for richer automation
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- [ ] Subagent improvements: parallel content generation in `/linkedin:batch` using Claude Code's evolving subagent capabilities
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- [ ] MCP server for analytics: expose analytics data as MCP resources for cross-plugin access
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- *Blocked on:* Claude Code MCP server authoring stabilization
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### Analytics & Intelligence
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**Priority: High** | **Effort: Medium**
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- [ ] Trend detection across 4+ weeks of imported data (analytics-interpreter agent)
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- [ ] Benchmark database: anonymized performance baselines by niche and follower count
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- [ ] A/B test auto-analysis: when experiment duration ends, surface winner with statistical confidence
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- [ ] Content fatigue detection: alert when engagement drops on a recurring content pillar
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### Content Strategy
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**Priority: Medium** | **Effort: Medium**
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- [ ] Video-first strategy: LinkedIn prioritizes native video — add video-specific hooks and scheduling guidance
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- [ ] AI-generated image support via MCP image tools for post visuals and carousel slides
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- [ ] Multi-language support: translate posts while preserving voice characteristics
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- *Blocked on:* Voice profile internationalization design
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---
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## Q4 2026 (October-December)
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### Advanced Content
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**Priority: Medium** | **Effort: High**
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- [ ] LinkedIn Newsletter integration: `/linkedin:newsletter` command for long-form content strategy (requires 5K+ followers gate)
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- [ ] LinkedIn Article workflow: `/linkedin:article` with SEO optimization for LinkedIn's article platform
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- [ ] Seasonal content library: pre-built content hooks for recurring Q1-Q4 events and industry moments
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- [ ] Document/PDF carousel generation: create downloadable slide decks from post content
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### Architecture & Reliability
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**Priority: Medium** | **Effort: Medium**
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- [ ] State file schema migration tool: handle breaking changes between plugin versions gracefully
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- [ ] Hook performance audit: measure execution time per hook, identify bottlenecks
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- [ ] E2E test suite for hooks: automated testing beyond the analytics pipeline
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- [ ] Plugin self-update check: compare installed version against marketplace version
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### Growth & Monetization
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**Priority: Low** | **Effort: Medium**
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- [ ] Competitor tracking persistence: store competitive analysis results for trend comparison over time
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- [ ] Lead generation templates: content-to-DM pipeline for consulting/speaking inquiries
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- [ ] Collaboration matching: suggest collaboration partners based on audience overlap analysis
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---
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## Deprioritized (Not in 2026 scope)
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| Item | Reason |
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|------|--------|
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| LinkedIn API direct posting | No official posting API available; copy-paste workflow is intentional and avoids ToS issues |
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| Multi-user / team support | Designed for individual thought leaders; team features would change the architecture fundamentally |
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| Real-time analytics streaming | LinkedIn doesn't expose streaming data; CSV export is the only reliable data source |
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| Automated engagement (auto-like, auto-comment) | Violates LinkedIn Terms of Service; plugin explicitly avoids this |
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| OAuth login for LinkedIn data | LinkedIn's API access is restrictive; manual CSV export is more reliable and privacy-respecting |
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---
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## Dependencies on External Development
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| Dependency | Impacts | Status |
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|------------|---------|--------|
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| Claude Code hook events (new event types) | Q3 automation improvements | Monitor Claude Code changelogs |
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| Claude Code MCP server authoring | Q3 analytics MCP server | In development (as of April 2026) |
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| Claude Code subagent API stability | Q3 batch generation | Available but evolving |
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| LinkedIn CSV export format stability | All analytics features | Stable (no changes since Jan 2026) |
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| MCP image generation tools | Q3 visual content | Available via mcp-image |
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---
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## How to Contribute Ideas
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File an issue at the plugin's marketplace repository. Bug reports and feature requests are welcome.
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