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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
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commands/video.md
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@ -39,7 +39,7 @@ Load video-specific references:
- Read `references/linkedin-formats.md` (Video Content Deep Dive section) for algorithm data and technical specs
Check for existing assets:
- `assets/voice-samples/` — Match the user's natural voice (REQUIRED before scripting)
- `${LINKEDIN_STUDIO_DATA:-$HOME/.claude/linkedin-studio}/voice-samples/` — Match the user's natural voice (REQUIRED before scripting)
- `assets/examples/high-engagement-posts.md` — Study successful patterns
## Step 1: Choose Video Type
@ -87,7 +87,7 @@ Delegate script generation to the `video-scripter` agent — invoke it via `Task
- Visual cues (`[CAM:]`, `[SCREEN:]`, `[SLIDE:]`, `[TEXT:]`)
- Energy cues (`[ENERGY: up]`, `[PAUSE: 1s]`)
- Transition markers (`[CUT]`, `[TRANSITION:]`)
4. Match voice against `assets/voice-samples/`
4. Match voice against `${LINKEDIN_STUDIO_DATA:-$HOME/.claude/linkedin-studio}/voice-samples/`
5. Generate captions, thumbnail suggestion, post caption, and first comment
## Step 5: Quality Check