Claude Code skill for publication-quality scientific visualisations: chart, architecture, flowchart, comparison, pipeline. Bundles matplotlib publication defaults (300 DPI, serif font, colorblind palette), NADEZHDA project palette, Mermaid conventions, and ready-to-use templates. Contents: - SKILL.md — behaviour spec (5 types, generation pipeline) - README.md — human-facing entry: when, install, examples - reference/chart_patterns.md — Pareto/bar/radar/heatmap snippets - templates/architecture_nadezhda.md — Mermaid templates for Teacher-Student / LUPI / fusion Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
59 lines
572 B
Plaintext
59 lines
572 B
Plaintext
# Python build artifacts
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__pycache__/
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*.py[cod]
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*$py.class
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*.egg-info/
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*.egg
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.eggs/
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build/
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dist/
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# Virtual environments
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.venv/
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venv/
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env/
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ENV/
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.python-version
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# Coverage / testing
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.coverage
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.coverage.*
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htmlcov/
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.tox/
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.nox/
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.pytest_cache/
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.mypy_cache/
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.ruff_cache/
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.dmypy.json
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# IDE / OS
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.idea/
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.vscode/
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!.vscode/settings.json
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!.vscode/launch.json
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!.vscode/extensions.json
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*.swp
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*.swo
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*~
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.DS_Store
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Thumbs.db
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desktop.ini
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# Jupyter
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.ipynb_checkpoints/
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# Secrets — never commit
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.env
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.env.local
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*.key
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*.pem
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credentials.json
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# Temp
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*.log
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*.tmp
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*.bak
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*.backup
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*.orig
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~$*
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