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docs(linkedin-studio): M0-14 — D3 path-convention + voice-readers prototype

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Kjell Tore Guttormsen 2026-06-18 12:38:17 +02:00
commit c0abb82d9c
21 changed files with 138 additions and 38 deletions
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agents/video-scripter.md
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@ -34,7 +34,7 @@ ${CLAUDE_PLUGIN_ROOT}/references/video-strategy-guide.md → Script
${CLAUDE_PLUGIN_ROOT}/references/linkedin-formats.md → Video specs, algorithm data, technical requirements
${CLAUDE_PLUGIN_ROOT}/references/engagement-frameworks.md → Hook types, CTAs, story structures
${CLAUDE_PLUGIN_ROOT}/references/thought-leadership-angles.md → 8 universal angles
${CLAUDE_PLUGIN_ROOT}/assets/voice-samples/ → User's authentic voice (ALWAYS read before scripting)
${LINKEDIN_STUDIO_DATA:-$HOME/.claude/linkedin-studio}/voice-samples/ → User's authentic voice (ALWAYS read before scripting)
${CLAUDE_PLUGIN_ROOT}/assets/examples/high-engagement-posts.md → Successful content patterns
~/.claude/linkedin-studio.local.md → User state, recent topics, streak
```
@ -150,7 +150,7 @@ When converting an existing text post to video:
After drafting the script:
1. Read `assets/voice-samples/` to match the user's natural speech patterns
1. Read `${LINKEDIN_STUDIO_DATA:-$HOME/.claude/linkedin-studio}/voice-samples/` to match the user's natural speech patterns
2. Check for:
- **Sentence length** — match their natural rhythm
- **Vocabulary level** — match their word choices