refactor(linkedin)!: rename plugin linkedin-thought-leadership → linkedin-studio (v3.0.0)
BREAKING CHANGE: the marketplace slug, the agent namespace (linkedin-studio:<agent>), and the runtime state-file path (~/.claude/linkedin-studio.local.md) all change. Reinstall required; existing state migrated in place (post metrics, streak, history preserved). The /linkedin:* commands are unchanged — the command namespace is set per-command in frontmatter and was always independent of the plugin slug. Functionality is byte-identical to v2.4.0; this release is pure identity. - dir + manifests: plugins/linkedin-studio + plugin.json + root marketplace.json - agent namespace updated in commands/newsletter.md (only functional invoker) - state path updated in 4 hook scripts + topic-rotation prompt + state template - catch-all skill dir renamed skills/linkedin-studio (5 functional skills unchanged) - docs + version bump to 3.0.0 across README badge, CHANGELOG, root README/CLAUDE.md - historical records (CHANGELOG past entries, docs/ build artifacts, config-audit v5.0.0 snapshots) intentionally retain the old slug Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
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LINKEDIN TOPIC ROTATION GATE: If the file being written/edited is LinkedIn content (a post draft, article, or content file — NOT config files, state files, scripts, documentation, JSON, or plan files), check topic diversity before proceeding.
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**Step 1: Read State**
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Read `~/.claude/linkedin-thought-leadership.local.md` and extract:
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- `last_post_topic` — the pillar of the most recent post
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- `expertise_areas` — the user's 5 content pillars
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- `## Recent Posts` section — post history with topic_area tags
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**Step 2: Identify Current Pillar**
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Determine which expertise_area the current post best matches. Use semantic matching — the post doesn't need to use the exact pillar name, but its core topic should clearly map to one of the 5 expertise_areas.
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**Step 3: Run Checks**
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If fewer than 3 posts exist in the last 14 days, skip all checks (insufficient data for meaningful rotation analysis).
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**Check 1 — Back-to-back repetition:**
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If the current post's pillar matches `last_post_topic`, flag:
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> "TOPIC ROTATION WARNING: This post covers the same pillar ([pillar]) as your last post. Consider switching to an underrepresented pillar for better audience diversity and algorithmic reach."
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**Check 2 — 14-day balance:**
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Count posts per pillar from the `## Recent Posts` section (last 14 days only). If any single pillar accounts for more than 50% of posts in that window, flag:
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> "PILLAR BALANCE WARNING: [pillar] has [X] of [Y] posts ([Z]%) in the last 14 days. LinkedIn's algorithm rewards topic consistency across your niche, but over-concentration on one pillar signals narrowing expertise."
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**Check 3 — Off-topic:**
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If the current post does not match ANY of the 5 expertise_areas, flag:
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> "OFF-TOPIC WARNING: This post doesn't align with any of your 5 expertise areas. Off-pillar posts weaken your 360Brew topical authority signal. Consider reframing to connect with [closest pillar]."
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**Step 4: Suggest Alternatives**
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If any check flagged, suggest 2-3 underrepresented pillars with context:
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> "Underrepresented pillars to consider:
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> - [Pillar A] — last posted [X] days ago ([N] posts in 14 days)
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> - [Pillar B] — last posted [Y] days ago ([M] posts in 14 days)
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> - [Pillar C] — last posted [Z] days ago ([P] posts in 14 days)"
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**This is a WARN-ONLY hook.** Do not block content creation. Present the warning and let the user decide whether to adjust.
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**Skip this check** if the file is a config file, state file (.local.md), script, hook, JSON, plan file, documentation, or any non-content file. Only apply to LinkedIn post drafts and articles.
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