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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
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commands/firsthour.md
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@ -25,7 +25,7 @@ worked plan: who to engage, what to say, and exactly when — persisted to state
## Step 0: Load Context
- Read `~/.claude/linkedin-studio.local.md` for posting state (streak, weekly progress, recent posts, follower phase).
- Read `assets/voice-samples/authentic-voice-samples.md` so every draft comment is in the user's voice.
- Read `${LINKEDIN_STUDIO_DATA:-$HOME/.claude/linkedin-studio}/voice-samples/authentic-voice-samples.md` so every draft comment is in the user's voice.
- Note the user's growth phase (follower count) — it sets daily comment volume and target split.
## Step 1: Identify the Post
@ -113,6 +113,6 @@ delayed spike) with the post-feedback monitor — invoke it via `Task` with
## Reference Files
- `assets/voice-samples/authentic-voice-samples.md` — voice matching for the draft comments
- `${LINKEDIN_STUDIO_DATA:-$HOME/.claude/linkedin-studio}/voice-samples/authentic-voice-samples.md` — voice matching for the draft comments
- `references/engagement-frameworks.md` — hook types, CEA, engagement hierarchy
- `references/algorithm-signals-reference.md` — first-hour weighting, signal order, timing data