feat(linkedin-thought-leadership): v1.1.0 — Q2 2026 feature release
9 improvements across 3 tracks: Onboarding: /linkedin:onboarding wizard, README Quick Start rewrite Content Quality: voice drift scoring, industry angle variants, /linkedin:carousel, /linkedin:react multi-URL comparison Analytics: automated week-rollover, day-of-week heatmap, month-over-month reports 25→27 commands. All Q2 ROADMAP items completed. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
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Kjell Tore Guttormsen
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33 changed files with 1726 additions and 236 deletions
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@ -16,14 +16,7 @@ Based on the day of the week, suggest the next optimal posting window:
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- Weekend: 10-11 AM CET (lower reach but less competition)
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**3. 5x5x5 Engagement Reminder**
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Remind the user about the 5x5x5 engagement ritual:
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> **5x5x5 Engagement Ritual** (15-20 min before AND in the first hour after posting):
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> - **5 comments** — find 5 people with overlapping audiences and leave thoughtful comments on their recent posts
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> - **5 connection requests** — send personalized requests to people who engaged with your niche today
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> - **5 replies** — reply to every comment on YOUR post within the first hour
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>
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> This signals active participation to LinkedIn's algorithm and boosts your post's initial distribution.
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Remind: 'Before posting, spend 15-20 minutes on 5x5x5 pre-engagement: find 5 people with overlapping audiences, comment thoughtfully on their recent posts.'
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**4. Content Logging**
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Note: The post topic and hook should be logged to the state file when the session ends (handled by Stop hook).
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@ -38,19 +38,20 @@ If a scheduled post was published during this session:
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Provide reminders naturally based on what was done in the session. If no LinkedIn content was created, skip the reminders and just ensure state is consistent.
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**4. Voice Sample Extraction** (if a post was created)
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**4. Voice Sample Collection** (if a post was created)
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If a LinkedIn post was created or finalized in this session, consider extracting the hook line as a voice sample:
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If a LinkedIn post was created or finalized in this session, save the full post text as a voice sample:
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- Read the hook line from the post that was just created
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- Read the full post text from the draft that was just created
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- Check if `assets/voice-samples/authentic-voice-samples.md` exists
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- If it does, suggest appending a new entry to the "## Update Log" section at the bottom:
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- Append the full post to the `## Collected Post Samples` section:
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```
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- [YYYY-MM-DD]: "[Hook text]" — [post type] (extracted from session post)
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### [YYYY-MM-DD] — [post type] ([char count] chars)
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[Full post text exactly as written]
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```
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- **Ask the user for approval before writing.** Say: "Would you like me to save this hook as a voice sample for future reference?"
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- Only write if the user approves
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- This passively grows the voice profile over time, improving personalization score
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- **Ask the user for confirmation** before writing: "I'll save this post as a voice sample for drift detection. OK?"
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- This builds the voice sample library that enables automatic drift scoring (needs 5+ samples for reliable scoring)
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- The more samples collected, the more accurate the voice-trainer's drift detection becomes
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**5. Content History Log** (if a post was created)
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@ -1,6 +1,7 @@
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VOICE GUARDIAN — AI AUTHENTICITY CHECK: If the file being written/edited is LinkedIn content (post draft, article, or content file — NOT config, state, scripts, docs), check for AI-sounding patterns:
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VOICE GUARDIAN — DRIFT SCORING & AI AUTHENTICITY CHECK: If the file being written/edited is LinkedIn content (post draft, article, or content file — NOT config, state, scripts, docs), perform both AI detection and voice drift scoring:
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## 1. AI Pattern Detection
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**AI Pattern Detection:**
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Scan for these common AI writing patterns:
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- Generic openings: 'In today's rapidly evolving...', 'As we navigate...', 'In the ever-changing landscape...'
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- Filler phrases: 'It's worth noting that', 'It goes without saying', 'At the end of the day'
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@ -10,13 +11,42 @@ Scan for these common AI writing patterns:
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- Hedging language: 'It could be argued', 'One might say', 'Perhaps'
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- Perfect structure: Every paragraph exactly the same length
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**Authenticity Score:**
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If 3+ AI patterns detected, flag: 'Voice Guardian Alert: This content scores below authenticity threshold. AI patterns found: [list specific patterns]. Suggested fixes: [specific rewrites using natural language].'
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**Voice Matching:**
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If voice samples exist at `${CLAUDE_PLUGIN_ROOT}/assets/voice-samples/`, compare the writing style against the user's authentic voice patterns. Flag deviations.
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## 2. Six-Dimension Voice Drift Scoring
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Read the voice profile and collected post samples from `${CLAUDE_PLUGIN_ROOT}/assets/voice-samples/authentic-voice-samples.md`.
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Score the draft against these 6 dimensions (0 = perfect match, 1 = minor drift per dimension):
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| Dimension | What to Compare |
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|-----------|----------------|
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| **Sentence structure** | Average length, complexity, use of fragments vs. compound sentences |
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| **Word choice** | Vocabulary level, preferred/avoided words from voice profile |
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| **Opening patterns** | Hook style — does it match the user's signature openers? |
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| **Storytelling** | Anecdote usage, narrative arc, concrete vs. abstract |
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| **Tone markers** | Humor, directness, formality level, empathy signals |
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| **Formatting** | Paragraph length, whitespace, emoji usage, punctuation habits |
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**Sum the 6 scores (0-6 total) and output a verdict:**
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| Score | Verdict | Action |
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|-------|---------|--------|
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| 0-1 | AUTHENTIC | No changes needed |
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| 2-3 | CAUTION | Flag specific dimensions that drifted, suggest fixes |
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| 4-5 | ALERT | Significant drift — list all deviating dimensions with rewrites |
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| 6 | REWRITE | Content doesn't sound like the user — recommend starting over |
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**Confidence gate:** If `## Collected Post Samples` has fewer than 5 posts, output: "Voice drift: LOW CONFIDENCE (X/5 samples). Scoring based on voice profile only." and score only against the profile description (dimensions 1-2 and 4-6), skipping opening patterns (dimension 3) which needs real samples.
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**Output format (always include at end of system message):**
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```
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Voice Drift: [VERDICT] ([score]/6) [confidence: HIGH/LOW]
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[If CAUTION+: list dimensions that scored 1 with brief fix suggestion]
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```
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## 3. Humanization Tips (for CAUTION or higher)
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**Humanization Tips:**
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- Add specific personal anecdotes or observations
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- Use conversational contractions (I've, don't, it's)
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- Include imperfect/real-world examples
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