docs(linkedin-studio): M0-14 — D3 path-convention + voice-readers prototype
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@ -54,7 +54,7 @@ Provide reminders naturally based on what was done in the session. If no LinkedI
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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 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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- Check if `${LINKEDIN_STUDIO_DATA:-$HOME/.claude/linkedin-studio}/voice-samples/authentic-voice-samples.md` exists
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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] — [post type] ([char count] chars)
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@ -28,7 +28,7 @@ If two or more of these are missing, flag it alongside the AI-pattern alert: the
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## 2. Six-Dimension Voice Drift Scoring
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Read the voice profile and collected post samples from `${CLAUDE_PLUGIN_ROOT}/assets/voice-samples/authentic-voice-samples.md`.
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Read the voice profile and collected post samples from `${LINKEDIN_STUDIO_DATA:-$HOME/.claude/linkedin-studio}/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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