feat(linkedin-thought-leadership): v1.0.0 — initial open-source import

Build LinkedIn thought leadership with algorithmic understanding,
strategic consistency, and AI-assisted content creation. Updated for
the January 2026 360Brew algorithm change.

16 agents, 25 commands, 6 skills, 9 hooks, 24 reference docs.

Personal data sanitized: voice samples generalized to template,
high-engagement posts cleared, region-specific references replaced
with placeholders.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>

plugins/linkedin-thought-leadership/hooks/prompts/state-update-reminder.md

@@ -0,0 +1,73 @@
+Before ending this LinkedIn content session, do two things:
+
+**1. Update State File**
+If a post was created or finalized in this session, update `~/.claude/linkedin-thought-leadership.local.md`:
+- Set `last_post_date` to today (YYYY-MM-DD format)
+- Set `last_post_topic` to the main topic (use the matching `expertise_areas` value when possible for consistent pillar tracking)
+- If `first_post_date` is null and a post was created, set `first_post_date` to today (YYYY-MM-DD). This is set ONCE and never changed after that.
+- Check if ISO week has changed — if so, reset `posts_this_week` to 0 and update `current_week`
+- Increment `posts_this_week`
+- Update streak: increment `current_streak` if posting on consecutive days (gap <= 1 day), reset to 1 if gap > 2 days
+- Update `longest_streak` if current exceeds it
+- Add entry to '## Recent Posts' section: [YYYY-MM-DD] "Hook text..." (char count) - topic_area (use expertise_area name for consistent pillar tracking)
+- Clear `next_planned_topic` if it was used, or set it to the next suggested topic
+- If analytics data was imported in this session, set `last_import_date` to today (YYYY-MM-DD) and `last_import_week` to current ISO week (YYYY-WXX)
+- If the user mentioned or updated their follower count during this session:
+  - Update `follower_count` to the new value
+  - If the month changed since last monthly_growth entry, append: {month: "YYYY-MM", count: X, delta: X}
+  - Recalculate `growth_rate_needed`: (follower_target - follower_count) / months_remaining
+  - Recalculate `projected_10k_date` from average of last 3 monthly deltas
+  - Add entry to '## Milestone Log': [YYYY-MM] count (+delta)
+
+**2. Pre-Publish Reminders** (only if a post was created)
+
+- **Quality Check**: Has content been reviewed against quality scorecard? Hook 110-140 chars, 1,200-1,800 chars total, authentic tone, no external links.
+- **5x5x5 Engagement**: Before posting, complete 15-20 min pre-posting engagement — 5 people with overlapping audiences, find their recent posts, write 5 thoughtful comments (15+ words each).
+- **First-Hour Plan**: Respond within 5 minutes to first comments. Add value in responses. Target 15+ engagements in first hour.
+- **Posting Time**: Post when target audience is most active.
+
+**3. Queue Status Check**
+
+If posts were added to the queue during this session (`assets/drafts/queue.json` was modified):
+- Confirm how many posts were queued and their scheduled dates
+- Remind: "View your full schedule with /linkedin:calendar"
+
+If a scheduled post was published during this session:
+- Verify it was marked as published in queue.json (status = "published")
+- If not, remind: "Run /linkedin:publish to update the queue status"
+
+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.
+
+**4. Voice Sample Extraction** (if a post was created)
+
+If a LinkedIn post was created or finalized in this session, consider extracting the hook line as a voice sample:
+
+- Read the hook line from the post that was just created
+- Check if `assets/voice-samples/authentic-voice-samples.md` exists
+- If it does, suggest appending a new entry to the "## Update Log" section at the bottom:
+  ```
+  - [YYYY-MM-DD]: "[Hook text]" — [post type] (extracted from session post)
+  ```
+- **Ask the user for approval before writing.** Say: "Would you like me to save this hook as a voice sample for future reference?"
+- Only write if the user approves
+- This passively grows the voice profile over time, improving personalization score
+
+**5. Content History Log** (if a post was created)
+
+If a LinkedIn post was created or finalized, append an entry to the content history log:
+
+- If `assets/analytics/content-history.md` does not exist, initialize it from `config/content-history.template.md`
+- Append a new row to the "## Content Log" table:
+  ```
+  | YYYY-MM-DD | "Hook text..." | topic_area | format | word_count | char_count | source |
+  ```
+  Where:
+  - `date`: Today's date
+  - `hook`: First 60 characters of the hook line
+  - `topic`: Matching expertise_area value (for pillar tracking)
+  - `format`: post/quick/react/video/pipeline
+  - `word_count`: Word count of the full post
+  - `char_count`: Character count of the full post
+  - `source`: original/url/curated (where the idea came from)
+- This is append-only — never edit or delete existing entries
+- This log enables `/linkedin:report` and `analytics-interpreter` to track content production over time without requiring LinkedIn CSV imports