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scientific-toolkit-skill

Develop and check research code in MATLAB/Octave or Python for signal processing, image analysis, statistics, and simulations. This skill supports reproducible workflows, checks units and assumptions, and prepares figures for papers and presentations.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

원문원문 설명 보기

Research computing toolkit for optoelectronic information science and engineering, MATLAB/Octave, Python scientific analysis, signal processing, image processing, statistics, simulation, optimization, publication figures, sensor/time-series data, citation lookup, and common scientific libraries. Use when the user asks for MATLAB code, scientific Python, data analysis, plots, simulations, formulas, statistics, machine learning, optical/physical/materials computation, or reproducible research workflows.

설치 방법 보기

이럴 때 유용합니다

  • Debugging MATLAB signal-processing scripts
  • Analyzing sensor time series in Python
  • Checking units and assumptions in optical simulations
  • Exporting figures for papers and presentations

포함된 파일(200)

  • SKILL.md4.7 KB
  • agents/openai.yaml247 B
  • references/scientific-skills/astropy/references/coordinates.md6.9 KB
  • references/scientific-skills/astropy/references/cosmology.md6.3 KB
  • references/scientific-skills/astropy/references/fits.md8.5 KB
  • references/scientific-skills/astropy/references/tables.md9.2 KB
  • references/scientific-skills/astropy/references/time.md8.9 KB
  • references/scientific-skills/astropy/references/units.md3.7 KB
  • references/scientific-skills/astropy/references/wcs_and_other_modules.md8.3 KB
  • references/scientific-skills/astropy/SKILL.md11.3 KB
  • references/scientific-skills/citation-management/assets/bibtex_template.bib9.0 KB
  • references/scientific-skills/citation-management/assets/citation_checklist.md10.1 KB
  • references/scientific-skills/citation-management/references/bibtex_formatting.md18.8 KB
  • references/scientific-skills/citation-management/references/citation_validation.md15.7 KB
  • references/scientific-skills/citation-management/references/google_scholar_search.md16.6 KB
  • references/scientific-skills/citation-management/references/metadata_extraction.md18.7 KB
  • references/scientific-skills/citation-management/references/pubmed_search.md17.3 KB
  • references/scientific-skills/citation-management/scripts/doi_to_bibtex.py6.2 KB
  • references/scientific-skills/citation-management/scripts/extract_metadata.py20.3 KB
  • references/scientific-skills/citation-management/scripts/format_bibtex.py11.2 KB
  • references/scientific-skills/citation-management/scripts/search_google_scholar.py8.8 KB
  • references/scientific-skills/citation-management/scripts/search_pubmed.py12.5 KB
  • references/scientific-skills/citation-management/scripts/validate_citations.py17.1 KB
  • references/scientific-skills/citation-management/SKILL.md31.8 KB
  • references/scientific-skills/exploratory-data-analysis/assets/report_template.md3.4 KB
  • references/scientific-skills/exploratory-data-analysis/references/bioinformatics_genomics_formats.md20.7 KB
  • references/scientific-skills/exploratory-data-analysis/references/chemistry_molecular_formats.md21.5 KB
  • references/scientific-skills/exploratory-data-analysis/references/general_scientific_formats.md14.9 KB
  • references/scientific-skills/exploratory-data-analysis/references/microscopy_imaging_formats.md18.1 KB
  • references/scientific-skills/exploratory-data-analysis/references/proteomics_metabolomics_formats.md15.2 KB
  • references/scientific-skills/exploratory-data-analysis/references/spectroscopy_analytical_formats.md17.6 KB
  • references/scientific-skills/exploratory-data-analysis/scripts/eda_analyzer.py20.8 KB
  • references/scientific-skills/exploratory-data-analysis/SKILL.md14.0 KB
  • references/scientific-skills/literature-review/assets/review_template.md12.7 KB
  • references/scientific-skills/literature-review/references/citation_styles.md6.0 KB
  • references/scientific-skills/literature-review/references/database_strategies.md15.1 KB
  • references/scientific-skills/literature-review/scripts/generate_pdf.py5.3 KB
  • references/scientific-skills/literature-review/scripts/search_databases.py8.8 KB
  • references/scientific-skills/literature-review/scripts/verify_citations.py6.9 KB
  • references/scientific-skills/literature-review/SKILL.md27.4 KB
  • references/scientific-skills/matlab/references/data-import-export.md10.4 KB
  • references/scientific-skills/matlab/references/executing-scripts.md9.3 KB
  • references/scientific-skills/matlab/references/graphics-visualization.md12.5 KB
  • references/scientific-skills/matlab/references/mathematics.md14.9 KB
  • references/scientific-skills/matlab/references/matrices-arrays.md10.7 KB
  • references/scientific-skills/matlab/references/octave-compatibility.md9.7 KB
  • references/scientific-skills/matlab/references/programming.md11.6 KB
  • references/scientific-skills/matlab/references/python-integration.md9.3 KB
  • references/scientific-skills/matlab/SKILL.md9.0 KB
  • references/scientific-skills/matplotlib/references/api_reference.md11.0 KB
  • references/scientific-skills/matplotlib/references/common_issues.md12.5 KB
  • references/scientific-skills/matplotlib/references/plot_types.md11.6 KB
  • references/scientific-skills/matplotlib/references/styling_guide.md13.3 KB
  • references/scientific-skills/matplotlib/scripts/plot_template.py11.8 KB
  • references/scientific-skills/matplotlib/scripts/style_configurator.py12.9 KB
  • references/scientific-skills/matplotlib/SKILL.md11.2 KB
  • references/scientific-skills/networkx/references/algorithms.md9.0 KB
  • references/scientific-skills/networkx/references/generators.md8.0 KB
  • references/scientific-skills/networkx/references/graph-basics.md6.1 KB
  • references/scientific-skills/networkx/references/io.md9.2 KB
  • references/scientific-skills/networkx/references/visualization.md12.1 KB
  • references/scientific-skills/networkx/SKILL.md12.4 KB
  • references/scientific-skills/paper-lookup/references/arxiv.md5.1 KB
  • references/scientific-skills/paper-lookup/references/biorxiv.md3.5 KB
  • references/scientific-skills/paper-lookup/references/core.md3.9 KB
  • references/scientific-skills/paper-lookup/references/crossref.md5.0 KB
  • references/scientific-skills/paper-lookup/references/medrxiv.md3.5 KB
  • references/scientific-skills/paper-lookup/references/openalex.md5.0 KB
  • references/scientific-skills/paper-lookup/references/pmc.md3.8 KB
  • references/scientific-skills/paper-lookup/references/pubmed.md3.8 KB
  • references/scientific-skills/paper-lookup/references/semantic-scholar.md6.0 KB
  • references/scientific-skills/paper-lookup/references/unpaywall.md3.7 KB
  • references/scientific-skills/paper-lookup/SKILL.md9.4 KB
  • references/scientific-skills/pdf/forms.md11.6 KB
  • references/scientific-skills/pdf/LICENSE.txt1.4 KB
  • references/scientific-skills/pdf/reference.md16.3 KB
  • references/scientific-skills/pdf/scripts/check_bounding_boxes.py2.7 KB
  • references/scientific-skills/pdf/scripts/check_fillable_fields.py268 B
  • references/scientific-skills/pdf/scripts/convert_pdf_to_images.py1008 B
  • references/scientific-skills/pdf/scripts/create_validation_image.py1.2 KB
  • references/scientific-skills/pdf/scripts/extract_form_field_info.py4.2 KB
  • references/scientific-skills/pdf/scripts/extract_form_structure.py3.9 KB
  • references/scientific-skills/pdf/scripts/fill_fillable_fields.py3.7 KB
  • references/scientific-skills/pdf/scripts/fill_pdf_form_with_annotations.py3.2 KB
  • references/scientific-skills/pdf/SKILL.md7.9 KB
  • references/scientific-skills/pymatgen/references/analysis_modules.md12.6 KB
  • references/scientific-skills/pymatgen/references/core_classes.md9.2 KB
  • references/scientific-skills/pymatgen/references/io_formats.md10.3 KB
  • references/scientific-skills/pymatgen/references/materials_project_api.md12.5 KB
  • references/scientific-skills/pymatgen/references/transformations_workflows.md16.4 KB
  • references/scientific-skills/pymatgen/scripts/phase_diagram_generator.py7.2 KB
  • references/scientific-skills/pymatgen/scripts/structure_analyzer.py8.3 KB
  • references/scientific-skills/pymatgen/scripts/structure_converter.py5.1 KB
  • references/scientific-skills/pymatgen/SKILL.md19.6 KB
  • references/scientific-skills/pymoo/references/algorithms.md6.0 KB
  • references/scientific-skills/pymoo/references/constraints_mcdm.md10.6 KB
  • references/scientific-skills/pymoo/references/operators.md8.6 KB
  • references/scientific-skills/pymoo/references/problems.md6.9 KB
  • references/scientific-skills/pymoo/references/visualization.md9.0 KB
  • references/scientific-skills/pymoo/scripts/custom_problem_example.py4.7 KB
  • references/scientific-skills/pymoo/scripts/decision_making_example.py4.5 KB
  • references/scientific-skills/pymoo/scripts/many_objective_example.py2.1 KB
  • references/scientific-skills/pymoo/scripts/multi_objective_example.py1.7 KB
  • references/scientific-skills/pymoo/scripts/single_objective_example.py1.6 KB
  • references/scientific-skills/pymoo/SKILL.md16.4 KB
  • references/scientific-skills/qutip/references/advanced.md11.4 KB
  • references/scientific-skills/qutip/references/analysis.md9.2 KB
  • references/scientific-skills/qutip/references/core_concepts.md5.5 KB
  • references/scientific-skills/qutip/references/time_evolution.md7.7 KB
  • references/scientific-skills/qutip/references/visualization.md8.1 KB
  • references/scientific-skills/qutip/SKILL.md8.8 KB
  • references/scientific-skills/scientific-visualization/assets/color_palettes.py5.6 KB
  • references/scientific-skills/scientific-visualization/assets/nature.mplstyle1.4 KB
  • references/scientific-skills/scientific-visualization/assets/presentation.mplstyle1.3 KB
  • references/scientific-skills/scientific-visualization/assets/publication.mplstyle1.4 KB
  • references/scientific-skills/scientific-visualization/references/color_palettes.md9.6 KB
  • references/scientific-skills/scientific-visualization/references/journal_requirements.md9.3 KB
  • references/scientific-skills/scientific-visualization/references/matplotlib_examples.md17.7 KB
  • references/scientific-skills/scientific-visualization/references/publication_guidelines.md8.4 KB
  • references/scientific-skills/scientific-visualization/scripts/figure_export.py10.6 KB
  • references/scientific-skills/scientific-visualization/scripts/style_presets.py11.9 KB
  • references/scientific-skills/scientific-visualization/SKILL.md24.9 KB
  • references/scientific-skills/scikit-learn/references/model_evaluation.md15.1 KB
  • references/scientific-skills/scikit-learn/references/pipelines_and_composition.md14.4 KB
  • references/scientific-skills/scikit-learn/references/preprocessing.md15.2 KB
  • references/scientific-skills/scikit-learn/references/quick_reference.md11.2 KB
  • references/scientific-skills/scikit-learn/references/supervised_learning.md10.8 KB
  • references/scientific-skills/scikit-learn/references/unsupervised_learning.md14.1 KB
  • references/scientific-skills/scikit-learn/scripts/classification_pipeline.py7.9 KB
  • references/scientific-skills/scikit-learn/scripts/clustering_analysis.py11.1 KB
  • references/scientific-skills/scikit-learn/SKILL.md15.2 KB
  • references/scientific-skills/seaborn/references/examples.md17.2 KB
  • references/scientific-skills/seaborn/references/function_reference.md24.0 KB
  • references/scientific-skills/seaborn/references/objects_interface.md20.3 KB
  • references/scientific-skills/seaborn/SKILL.md19.1 KB
  • references/scientific-skills/simpy/references/events.md8.4 KB
  • references/scientific-skills/simpy/references/monitoring.md12.6 KB
  • references/scientific-skills/simpy/references/process-interaction.md11.3 KB
  • references/scientific-skills/simpy/references/real-time.md10.5 KB
  • references/scientific-skills/simpy/references/resources.md7.2 KB
  • references/scientific-skills/simpy/scripts/basic_simulation_template.py5.4 KB
  • references/scientific-skills/simpy/scripts/resource_monitor.py11.4 KB
  • references/scientific-skills/simpy/SKILL.md11.9 KB
  • references/scientific-skills/statistical-analysis/references/assumptions_and_diagnostics.md10.9 KB
  • references/scientific-skills/statistical-analysis/references/bayesian_statistics.md17.1 KB
  • references/scientific-skills/statistical-analysis/references/effect_sizes_and_power.md14.6 KB
  • references/scientific-skills/statistical-analysis/references/reporting_standards.md19.0 KB
  • references/scientific-skills/statistical-analysis/references/test_selection_guide.md5.0 KB
  • references/scientific-skills/statistical-analysis/scripts/assumption_checks.py15.5 KB
  • references/scientific-skills/statistical-analysis/SKILL.md19.3 KB
  • references/scientific-skills/statsmodels/references/discrete_choice.md16.8 KB
  • references/scientific-skills/statsmodels/references/glm.md16.2 KB
  • references/scientific-skills/statsmodels/references/linear_models.md12.7 KB
  • references/scientific-skills/statsmodels/references/stats_diagnostics.md20.0 KB
  • references/scientific-skills/statsmodels/references/time_series.md18.5 KB
  • references/scientific-skills/statsmodels/SKILL.md19.2 KB
  • references/scientific-skills/sympy/references/advanced-topics.md12.8 KB
  • references/scientific-skills/sympy/references/code-generation-printing.md12.1 KB
  • references/scientific-skills/sympy/references/core-capabilities.md7.6 KB
  • references/scientific-skills/sympy/references/matrices-linear-algebra.md9.4 KB
  • references/scientific-skills/sympy/references/physics-mechanics.md11.8 KB
  • references/scientific-skills/sympy/SKILL.md13.2 KB
  • references/scientific-skills/timesfm-forecasting/examples/anomaly-detection/detect_anomalies.py16.6 KB
  • references/scientific-skills/timesfm-forecasting/examples/anomaly-detection/output/anomaly_detection.json8.8 KB
  • references/scientific-skills/timesfm-forecasting/examples/anomaly-detection/output/anomaly_detection.png211.9 KB
  • references/scientific-skills/timesfm-forecasting/examples/covariates-forecasting/demo_covariates.py19.2 KB
  • references/scientific-skills/timesfm-forecasting/examples/covariates-forecasting/output/covariates_data.png447.8 KB
  • references/scientific-skills/timesfm-forecasting/examples/covariates-forecasting/output/covariates_metadata.json1.5 KB
  • references/scientific-skills/timesfm-forecasting/examples/covariates-forecasting/output/sales_with_covariates.csv7.2 KB
  • references/scientific-skills/timesfm-forecasting/examples/global-temperature/generate_animation_data.py4.9 KB
  • references/scientific-skills/timesfm-forecasting/examples/global-temperature/generate_gif.py6.5 KB
  • references/scientific-skills/timesfm-forecasting/examples/global-temperature/generate_html.py20.7 KB
  • references/scientific-skills/timesfm-forecasting/examples/global-temperature/output/animation_data.json130.1 KB
  • references/scientific-skills/timesfm-forecasting/examples/global-temperature/output/forecast_animation.gif775.6 KB
  • references/scientific-skills/timesfm-forecasting/examples/global-temperature/output/forecast_output.csv1.5 KB
  • references/scientific-skills/timesfm-forecasting/examples/global-temperature/output/forecast_output.json4.4 KB
  • references/scientific-skills/timesfm-forecasting/examples/global-temperature/output/forecast_visualization.png152.9 KB
  • references/scientific-skills/timesfm-forecasting/examples/global-temperature/output/interactive_forecast.html149.5 KB
  • references/scientific-skills/timesfm-forecasting/examples/global-temperature/README.md5.6 KB
  • references/scientific-skills/timesfm-forecasting/examples/global-temperature/run_example.sh1.5 KB
  • references/scientific-skills/timesfm-forecasting/examples/global-temperature/run_forecast.py5.4 KB
  • references/scientific-skills/timesfm-forecasting/examples/global-temperature/temperature_anomaly.csv591 B
  • references/scientific-skills/timesfm-forecasting/examples/global-temperature/visualize_forecast.py3.2 KB
  • references/scientific-skills/timesfm-forecasting/references/api_reference.md7.8 KB
  • references/scientific-skills/timesfm-forecasting/references/data_preparation.md7.0 KB
  • references/scientific-skills/timesfm-forecasting/references/system_requirements.md5.7 KB
  • references/scientific-skills/timesfm-forecasting/scripts/check_system.py16.4 KB
  • references/scientific-skills/timesfm-forecasting/scripts/forecast_csv.py8.5 KB
  • references/scientific-skills/timesfm-forecasting/SKILL.md29.4 KB
  • references/scientific-skills/xlsx/LICENSE.txt1.4 KB
  • references/scientific-skills/xlsx/scripts/office/helpers/__init__.py0 B
  • references/scientific-skills/xlsx/scripts/office/helpers/merge_runs.py5.4 KB
  • references/scientific-skills/xlsx/scripts/office/helpers/simplify_redlines.py5.6 KB
  • references/scientific-skills/xlsx/scripts/office/pack.py4.9 KB
  • references/scientific-skills/xlsx/scripts/office/schemas/ecma/fouth-edition/opc-contentTypes.xsd1.9 KB
  • references/scientific-skills/xlsx/scripts/office/schemas/ecma/fouth-edition/opc-coreProperties.xsd2.5 KB
  • references/scientific-skills/xlsx/scripts/office/schemas/ecma/fouth-edition/opc-digSig.xsd2.8 KB
  • references/scientific-skills/xlsx/scripts/office/schemas/ecma/fouth-edition/opc-relationships.xsd1.3 KB
  • references/scientific-skills/xlsx/scripts/office/schemas/ISO-IEC29500-4_2016/dml-chart.xsd73.2 KB
  • references/scientific-skills/xlsx/scripts/office/schemas/ISO-IEC29500-4_2016/dml-chartDrawing.xsd6.8 KB

SKILL.md(원문)

설치하기 전에 에이전트에게 전달되는 지시 내용을 확인할 수 있습니다.

Scientific Toolkit Skill

Scope

Use this skill for科研计算 and software-assisted research:

  • MATLAB/Octave scripts, debugging, refactoring, signal/image processing, FFT, filtering, matrix computation, simulation, and figure export.
  • Python scientific workflows with NumPy, SciPy, pandas, matplotlib, seaborn, scikit-learn, statsmodels, SymPy, and related tools.
  • Statistics, exploratory data analysis, sensor/time-series forecasting, optimization, discrete-event simulation, quantum optics/open quantum systems, materials data, and graph/network analysis.
  • Literature lookup, citation metadata, BibTeX, and reference verification when it supports coding or research analysis.

Use research-writing-skill for manuscript prose. Use office-academic-skill for Word/PPT deliverables.

Domain Defaults

The user's field is光电信息科学与工程. Prefer examples and checks relevant to:

  • Optics, optoelectronics, optical communication, optical sensing, fiber sensing, BOTDR/BOTDA, BGS, SPM, dispersion, noise, and deconvolution.
  • Signal processing, image processing, spectroscopy, detector data, sensor time series, calibration, and uncertainty.
  • MATLAB simulation and reproducible figure generation for论文/答辩.

Do not fabricate physical parameters, material constants, software menu operations, experimental results, or paper conclusions. When uncertain, ask for the source file or mark the assumption.

General Workflow

  1. Read the provided code, data, README, docs, and project instructions before changing anything.
  2. Identify variables, dimensions, units, input/output paths, random seeds, and expected figures.
  3. Make small, verifiable changes and avoid unrelated refactors.
  4. Prefer mature libraries over hand-rolled numerical methods.
  5. Run a script-level or test-level verification when possible.
  6. Report environment, commands, output paths, generated figures, and known limitations.

MATLAB And Figures

  • Preserve the original code structure when possible.
  • Add concise comments for physical meaning, units, assumptions, or formula sources.
  • Centralize key parameters and avoid hardcoded absolute paths.
  • Add rng for stochastic simulations when reproducibility matters.
  • For publication figures, export both high-resolution .png and vector .svg when feasible.
  • Check axes, units, legends, sampling rate, line width, font, color, and image resolution.

For MATLAB/Octave details, use references/scientific-skills/matlab/SKILL.md.

Python Scientific Modules

Load only the relevant bundled reference:

  • Plotting and publication figures: matplotlib, seaborn, scientific-visualization.
  • Statistics and time series: statistical-analysis, statsmodels, timesfm-forecasting.
  • Machine learning: scikit-learn.
  • Symbolic math and formulas: sympy.
  • Exploratory data analysis: exploratory-data-analysis.
  • Optimization: pymoo.
  • Simulation: simpy.
  • Quantum optics/open quantum systems: qutip.
  • Materials/crystal/band/DOS workflows: pymatgen.
  • Graphs/networks/citation graphs: networkx.
  • FITS or astronomical/optical imaging style data: astropy.
  • Spreadsheet/PDF utilities: xlsx, pdf.
  • Literature/citation support: paper-lookup, citation-management, literature-review.

Some bundled references mention optional installs such as uv pip install ... or optional API keys for higher rate limits. Do not install packages, use cloud APIs, or send user data to external services unless the current task requires it and the user agrees.

Safety Rules

  • Never expose or commit API keys, tokens, private data, or unpublished paper content.
  • Do not overwrite original data, code, Word/PPT, or figures. Write versioned outputs.
  • Do not delete or recursively clean user files without explicit confirmation.
  • For external lookups, prefer open APIs and official documentation; clearly distinguish live lookup results from local inference.

Verification

For code:

  • Run the relevant script or a minimal example.
  • Check generated files exist and are readable.
  • Inspect plots for axes, units, legends, and plausible dimensions.

For research analysis:

  • State software versions when known.
  • List input files and commands.
  • Mark assumptions and uncertain parameters.

리뷰

아직 리뷰가 없습니다. 사용해 본 소감을 남겨 주세요.

댓글

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같은 저장소의 스킬

astropy

무료

Process astronomical data in Python with Astropy. This skill covers celestial coordinate, unit, and time conversions; reading and editing FITS astronomy files; matching object catalogs; and calculating cosmic distances using cosmological models.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

  • Converting celestial coordinates for an observing time and location
  • Reading FITS images and inspecting their headers
  • Matching objects across astronomical catalogs
zLanqing/codex-claude-academic-skills5.2천2026년 5월 14일 업데이트

Find academic papers through Google Scholar and PubMed, retrieve publication details from identifiers, and build BibTeX reference files. Check author and publication information, detect duplicates, and standardize formatting before using references in a manuscript.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

  • Finding papers on a research topic
  • Converting DOI lists into BibTeX references
  • Checking reference details before manuscript submission
zLanqing/codex-claude-academic-skills5.2천2026년 5월 14일 업데이트

Inspect scientific data files to understand their format, structure, and quality. Covering over 200 formats, this skill produces Markdown reports with statistical summaries, potential issues, and recommendations for preprocessing, visualization, and further analysis.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

  • Inspecting an unfamiliar scientific data file
  • Checking missing values and duplicates in experimental tables
  • Reviewing sequence lengths and quality scores in FASTQ files
zLanqing/codex-claude-academic-skills5.2천2026년 5월 14일 업데이트

Search multiple academic databases, screen studies against documented criteria, and compare findings by theme. Produce literature reviews in Markdown and PDF with study quality assessments, verified citation details, and diagrams explaining the review process or findings.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

  • Conduct a systematic literature review
  • Prepare a literature review section for a thesis
  • Compare findings and disagreements across studies
zLanqing/codex-claude-academic-skills5.2천2026년 5월 14일 업데이트

matlab

무료

Write MATLAB or GNU Octave scripts for matrix calculations, data analysis, signal processing, and scientific plots. The skill also helps explain syntax and functions, convert code between MATLAB and Python, and run scripts when an interpreter is installed.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

  • Analyzing experimental CSV data and saving plots
  • Solving matrix equations and differential equations
  • Analyzing signal frequencies and applying filters
zLanqing/codex-claude-academic-skills5.2천2026년 5월 14일 업데이트

Create charts in Python with detailed control over colors, axes, labels, legends, and layouts. Use it to build scientific figures, arrange multiple plots, and export results as PNG, PDF, or SVG files for papers and presentations.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

  • Creating figures for papers and presentations
  • Arranging multiple charts in one figure
  • Adjusting colors, axes, labels, and legends
zLanqing/codex-claude-academic-skills5.2천2026년 5월 14일 업데이트

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