885cae8e7d
- New script: scripts/extract_exemplar.py Extracts style fingerprints from human-written articles (opening hook, emotional peak, transition/self-correction, closing) with statistical analysis (sentence stddev, vocab temperature, negative ratio, paragraph CV). Auto-detects category, supports batch import. - SKILL.md: Add Step 4.4 exemplar injection Loads matching exemplars by category before writing, injects segments as few-shot style examples in the prompt. - learn_edits.py: Auto-grow exemplar library After user edits, auto-extracts the final version into the exemplar library if humanness_score <= 50. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
44 lines
585 B
Text
44 lines
585 B
Text
# Credentials
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config.yaml
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# User data (generated at runtime, not tracked)
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style.yaml
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history.yaml
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playbook.md
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corpus/
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lessons/
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# Optimized writing parameters (user runs loop to generate their own)
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writing-config.yaml
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optimization-results.tsv
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# Generated output
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output/
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!output/.gitkeep
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# Exemplar library (user-specific content)
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references/exemplars/*.md
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references/exemplars/index.yaml
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# Legacy client directories
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clients/
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# macOS
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.DS_Store
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# Python
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__pycache__/
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*.pyc
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*.pyo
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*.egg-info/
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dist/*
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!dist/openclaw/
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build/
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# Internal dev docs
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docs/
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CLAUDE.md
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# IDE
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.vscode/
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.idea/
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