fix(linkedin-studio): propagate reconciled algorithm numbers, cite-not-restate

Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
This commit is contained in:
Kjell Tore Guttormsen 2026-05-29 20:32:17 +02:00
commit 4700248cc4
32 changed files with 133 additions and 113 deletions

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name: linkedin-voice
description: |
LinkedIn voice training, profile optimization, content differentiation, and authenticity
checking. Covers voice profile building, drift detection, 360Brew profile alignment,
checking. Covers voice profile building, drift detection, topic-relevance profile alignment,
originality scoring, and maintaining authentic presence on LinkedIn.
This skill should be used when the user wants to optimize their LinkedIn profile, train their voice,
check content originality, detect voice drift, build a voice profile, or ensure
their content is differentiated from commodity content.
Triggers on: "optimize my LinkedIn profile", "360Brew", "profile optimization",
Triggers on: "optimize my LinkedIn profile", "topic-relevance", "profile optimization",
"analyze my voice", "build voice profile", "voice audit", "does this sound like me",
"voice drift", "is this original", "differentiation check", "originality check",
"commodity content", "unique angle", "am I authentic", "my writing style",
@ -18,7 +18,7 @@ description: |
## Voice and Profile Domain
This skill covers voice identity, profile optimization for the 360Brew algorithm, content differentiation, and authenticity maintenance.
This skill covers voice identity, profile optimization for the topic-relevance ranking, content differentiation, and authenticity maintenance.
---
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| Command | Purpose | When to Use |
|---------|---------|-------------|
| `/linkedin:profile` | 360Brew profile optimization | Profile setup and audit |
| `/linkedin:profile` | profile/topic-relevance optimization | Profile setup and audit |
## Agents
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---
## 360Brew Profile Validation (January 2026)
## Profile/Topic Relevance Validation
**This is the most significant LinkedIn algorithm change since the platform launched.**
### The Fundamental Shift
**Before January 2026:** Post something -> Goes to 10% of your audience -> LinkedIn tracks engagement -> Decides if more people should see it.
**In the older feed model:** Post something -> Goes to 10% of your audience -> LinkedIn tracks engagement -> Decides if more people should see it.
**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.
**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.
### The 360Brew Scoring System
### The Profile/Topic Relevance Factors
LinkedIn's 150B parameter foundation model evaluates **five criteria** before your post reaches anyone:
@ -77,7 +77,7 @@ For detailed algorithm mechanics, see `references/algorithm-signals-reference.md
### About Section (CRITICAL)
Your About section is the **first signal** telling 360Brew what you're qualified to discuss.
Your About section is the **first signal** telling topic-relevance what you're qualified to discuss.
**Structure for optimization:**
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| File | When to Read |
|------|--------------|
| `references/algorithm-signals-reference.md` | Profile optimization, 360Brew |
| `references/algorithm-signals-reference.md` | Profile optimization, topic-relevance |
| `references/linkedin-visual-style.md` | Visual identity consistency |
| `assets/voice-samples/` | Voice reference (always read before content creation) |
| `config/user-profile.template.md` | User personalization setup |