fix(linkedin-studio): propagate reconciled algorithm numbers, cite-not-restate
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
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@ -2,14 +2,14 @@
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name: linkedin-voice
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description: |
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LinkedIn voice training, profile optimization, content differentiation, and authenticity
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checking. Covers voice profile building, drift detection, 360Brew profile alignment,
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checking. Covers voice profile building, drift detection, topic-relevance profile alignment,
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originality scoring, and maintaining authentic presence on LinkedIn.
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This skill should be used when the user wants to optimize their LinkedIn profile, train their voice,
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check content originality, detect voice drift, build a voice profile, or ensure
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their content is differentiated from commodity content.
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Triggers on: "optimize my LinkedIn profile", "360Brew", "profile optimization",
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Triggers on: "optimize my LinkedIn profile", "topic-relevance", "profile optimization",
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"analyze my voice", "build voice profile", "voice audit", "does this sound like me",
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"voice drift", "is this original", "differentiation check", "originality check",
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"commodity content", "unique angle", "am I authentic", "my writing style",
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@ -18,7 +18,7 @@ description: |
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## Voice and Profile Domain
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This skill covers voice identity, profile optimization for the 360Brew algorithm, content differentiation, and authenticity maintenance.
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This skill covers voice identity, profile optimization for the topic-relevance ranking, content differentiation, and authenticity maintenance.
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---
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@ -26,7 +26,7 @@ This skill covers voice identity, profile optimization for the 360Brew algorithm
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| Command | Purpose | When to Use |
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|---------|---------|-------------|
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| `/linkedin:profile` | 360Brew profile optimization | Profile setup and audit |
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| `/linkedin:profile` | profile/topic-relevance optimization | Profile setup and audit |
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## Agents
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@ -37,17 +37,17 @@ This skill covers voice identity, profile optimization for the 360Brew algorithm
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---
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## 360Brew Profile Validation (January 2026)
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## Profile/Topic Relevance Validation
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**This is the most significant LinkedIn algorithm change since the platform launched.**
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### The Fundamental Shift
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**Before January 2026:** Post something -> Goes to 10% of your audience -> LinkedIn tracks engagement -> Decides if more people should see it.
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**In the older feed model:** Post something -> Goes to 10% of your audience -> LinkedIn tracks engagement -> Decides if more people should see it.
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**After January 2026:** LinkedIn auditions you FIRST. Before your post goes anywhere, the algorithm scans your profile to determine if you're actually qualified to talk about the topic.
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**In the 2026 relevance model:** profile/topic relevance is weighed alongside engagement — content matched to your demonstrated expertise is distributed more widely (including beyond your network), so an off-topic post from a misaligned profile tends to underperform.
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### The 360Brew Scoring System
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### The Profile/Topic Relevance Factors
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LinkedIn's 150B parameter foundation model evaluates **five criteria** before your post reaches anyone:
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@ -77,7 +77,7 @@ For detailed algorithm mechanics, see `references/algorithm-signals-reference.md
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### About Section (CRITICAL)
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Your About section is the **first signal** telling 360Brew what you're qualified to discuss.
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Your About section is the **first signal** telling topic-relevance what you're qualified to discuss.
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**Structure for optimization:**
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@ -197,7 +197,7 @@ The differentiation-checker agent evaluates content across five dimensions:
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| File | When to Read |
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|------|--------------|
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| `references/algorithm-signals-reference.md` | Profile optimization, 360Brew |
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| `references/algorithm-signals-reference.md` | Profile optimization, topic-relevance |
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| `references/linkedin-visual-style.md` | Visual identity consistency |
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| `assets/voice-samples/` | Voice reference (always read before content creation) |
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| `config/user-profile.template.md` | User personalization setup |
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