docs(linkedin-studio): M0-14 — D3 path-convention + voice-readers prototype
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@ -133,7 +133,7 @@ Architecture: [prose/sectioned/framework]
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### Analysis Process
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1. **Gather** — Read all files in `${CLAUDE_PLUGIN_ROOT}/assets/voice-samples/`, existing profile from `config/user-profile.local.md`, and template from `config/user-profile.template.md`
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1. **Gather** — Read all files in `${LINKEDIN_STUDIO_DATA:-$HOME/.claude/linkedin-studio}/voice-samples/`, existing profile from `config/user-profile.local.md`, and template from `config/user-profile.template.md`
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2. **Analyze** — Apply all six dimensions to each sample. Note dates for temporal analysis. Flag inconsistent samples as outliers or evolution.
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3. **Synthesize** — Patterns in 70%+ of samples = core traits. 40-70% = situational traits (note context). <40% = experimental traits. Track temporal trends.
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4. **Build** — Compile into Voice Profile Document format. Include confidence levels (high/medium/low) and concrete examples for every trait.
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@ -323,7 +323,7 @@ Fixes: [specific corrections with baseline examples]
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## References
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Read these files for context and methodology:
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- `${CLAUDE_PLUGIN_ROOT}/assets/voice-samples/` — Source samples for analysis
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- `${LINKEDIN_STUDIO_DATA:-$HOME/.claude/linkedin-studio}/voice-samples/` — Source samples for analysis
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- `${CLAUDE_PLUGIN_ROOT}/config/user-profile.template.md` — Profile structure template
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- `${CLAUDE_PLUGIN_ROOT}/config/user-profile.local.md` — Current voice profile (if exists)
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- `${CLAUDE_PLUGIN_ROOT}/references/ai-content-framework.md` — AI content anti-patterns and quality checklist
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