blog-style

# Blog Style - Writing Style Learning Learn an author voice profile from existing posts, then use it as a baseline for VOICE.md, blog-persona, and blog-write. The profile captures measurable style signals so future drafts can preserve the author's cadence, vocabulary, and tone. ## Commands | Command | Purpose | |---------|---------| | `/blog style learn <paths>` | Analyze sample posts and generate a voice profile | ## Learn Workflow Use 5 to 10 representative posts from the same author, brand, or editorial voice. Accept individual markdown files, MDX files, text files, or a directory containing posts. Run the local learner: ```bash python3 scripts/style_learn.py <paths> --format markdown ``` For machine-readable output: ```bash python3 scripts/style_learn.py <paths> --format json --output voice-profile.json ``` For a VOICE.md-ready block: ```bash python3 scripts/style_learn.py <paths> --format markdown --output VOICE.md ``` If fewer than the requested minimum sample count is supplied, warn and continue. The default minimum is 5 posts. ## Profile Fields The learner aggregates the existing blog analyzer across each sample post: - Sentence length mean and median - Sentence length burstiness as corpus variance - Vocabulary richness as type-token ratio - Transition-word sentence rate - Passive-voice sentence rate - AI trigger words per 1,000 words as a baseline to preserve or avoid - Paragraph-length distribution - First-person usage rate - Heading-as-question ratio...