GitHub
writing-tests
Writes tests following project conventions. Handles test file organization, runtime vs type tests, table-driven tests with Test module, and type assertions with Assert API.
Skills IA Développement
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Catégories: Développement
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GitHub
syncing-tsconfig-paths
Synchronizes tsconfig.json paths from package.json imports field. Ensures TypeScript resolves subpath imports (#imports) correctly during development.
GitHub
refreshing-docs
Refreshes README.md documentation tables including the packages table and core namespace index. Reads from package.json files and core module JSDoc.
GitHub
auditing-project
Audits the project for consistency issues that may arise from manual editing. Checks package scripts, tsconfig paths, README tables, and other conventions.
GitHub
creating-packages
Creates new packages in the @kitz monorepo with proper structure, configuration, and workspace integration. Handles package.json, tsconfigs, source files, and runs necessary sync scripts.
GitHub
committing-changes
Creates commits following project conventions. Handles Conventional Commits with project-specific scopes, PR title requirements, changesets for releases, and CI validation rules.
GitHub
running-scripts
How to run scripts in this pnpm + turbo monorepo. Covers turbo task filtering, caching, package-local scripts, and common pitfalls.
GitHub
implementing-functions
Implements functions following project conventions. Applies data-first parameter order, currying patterns with *On and *With variants, and consistent universal operation names.
GitHub
authoring-global-scripts
Authors and manages global package scripts using the _: prefix convention. Scripts defined in root package.json are propagated to all packages with the prefix stripped.
GitHub
creating-modules
Creates new modules within existing packages following project conventions. Handles file structure, barrel exports, namespace files, package.json imports/exports, and internal import patterns.
GitHub
python-programming
Python fundamentals, data structures, OOP, and data science libraries (Pandas, NumPy). Use when writing Python code, data manipulation, or algorithm implementation.
GitHub
data-visualization
EDA, dashboards, Matplotlib, Seaborn, Plotly, and BI tools. Use for creating visualizations, exploratory analysis, or dashboards.
GitHub
mlops-deployment
Docker, Kubernetes, CI/CD, model monitoring, and cloud platforms. Use for deploying ML models to production, setting up pipelines, or infrastructure.
GitHub
data-engineering
ETL pipelines, Apache Spark, data warehousing, and big data processing. Use for building data pipelines, processing large datasets, or data infrastructure.
GitHub
deep-learning
Neural networks, CNNs, RNNs, Transformers with TensorFlow and PyTorch. Use for image classification, NLP, sequence modeling, or complex pattern recognition.
GitHub
nlp-processing
Text processing, sentiment analysis, LLMs, and NLP frameworks. Use for text classification, named entity recognition, or language models.
GitHub
time-series
ARIMA, SARIMA, Prophet, trend analysis, seasonality detection, anomaly detection, and forecasting methods. Use for time-based predictions, demand forecasting, or temporal pattern analysis.
GitHub
statistical-analysis
Probability, distributions, hypothesis testing, and statistical inference. Use for A/B testing, experimental design, or statistical validation.
GitHub
machine-learning
Supervised/unsupervised learning, model selection, evaluation, and scikit-learn. Use for building classification, regression, or clustering models.
GitHub
reinforcement-learning
Q-learning, DQN, PPO, A3C, policy gradient methods, multi-agent systems, and Gym environments. Use for training agents, game AI, robotics, or decision-making systems.
GitHub
computer-vision
Image processing, object detection, segmentation, and vision models. Use for image classification, object detection, or visual analysis tasks.
GitHub
model-optimization
Quantization, pruning, AutoML, hyperparameter tuning, and performance optimization. Use for improving model performance, reducing size, or automated ML.
GitHub
screenshot
Capture PNG screenshots of dex TUI commands for debugging UI layout issues. Use when iterating on CLI interface code or debugging rendering problems.
GitHub
video-presentation-skill
Generate interactive HTML presentations for ANY video type (tutorials, comparisons, fact-checks, explainers, etc.). Creates self-contained, screen-recording-optimized slides with various content types including...
Le classement utilise les étoiles du dépôt GitHub indexé. Plusieurs skills peuvent partager ce nombre : ce n’est ni un nombre d’installations ni une note de qualité.