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Skills IA documentation architecture patterns

Découvrez les skills documentation architecture patterns, comparez leurs dépôts et consultez leurs instructions.

Catégories: documentation architecture patterns

1,417–1,440 sur 6,626

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GitHub

tech-lead

anton-abyzov

Technical Lead that implements code ONE FILE AT A TIME to prevent crashes. Handles code review, best practices, mentorship, implementation planning. **CRITICAL CHUNKING RULE - Large implementations (auth system...

GitHub

experiment-tracker

anton-abyzov

Manages ML experiment tracking with MLflow, Weights & Biases, or SpecWeave's built-in tracking. Activates for "track experiments", "MLflow", "wandb", "experiment logging", "compare experiments", "hyperparameter...

GitHub

kafka-streams-topology

anton-abyzov

Kafka Streams topology design expert. Covers KStream vs KTable vs GlobalKTable, topology patterns, stream operations (filter, map, flatMap, branch), joins, windowing strategies, and exactly-once semantics. Acti...

GitHub

umbrella-repo-detector

anton-abyzov

Detects multi-repo architecture from user prompts and guides setup. Activates for: multiple repos, 3 repos, frontend repo, backend repo, shared library repo, monorepo services, microservices, separate repos, FE...

GitHub

feature-engineer

anton-abyzov

Comprehensive feature engineering for ML pipelines: data quality assessment, feature creation, selection, transformation, and encoding. Activates for "feature engineering", "create features", "feature selection...

GitHub

cv-pipeline-builder

anton-abyzov

Computer vision ML pipelines for image classification, object detection, semantic segmentation, and image generation. Activates for "computer vision", "image classification", "object detection", "CNN", "ResNet"...

GitHub

design-system-architect

anton-abyzov

Expert in building scalable design systems with Atomic Design, design tokens, theming, and component libraries. Activates for design system, design tokens, atomic design, component library, design patterns, the...

GitHub

release-strategy-advisor

anton-abyzov

Expert in analyzing and recommending release strategies for software projects. Detects existing release patterns in brownfield projects (git tags, CI/CD workflows, changelogs, version files). Suggests optimal s...

GitHub

anomaly-detector

anton-abyzov

Anomaly and outlier detection using Isolation Forest, One-Class SVM, autoencoders, and statistical methods. Activates for "anomaly detection", "outlier detection", "fraud detection", "intrusion detection", "abn...

GitHub

model-explainer

anton-abyzov

Model interpretability and explainability using SHAP, LIME, feature importance, and partial dependence plots. Activates for "explain model", "model interpretability", "SHAP", "LIME", "feature importance", "why...

GitHub

automl-optimizer

anton-abyzov

Automated machine learning with hyperparameter optimization using Optuna, Hyperopt, or AutoML libraries. Activates for "automl", "hyperparameter tuning", "optimize hyperparameters", "auto tune model", "neural a...

GitHub

nlp-pipeline-builder

anton-abyzov

Natural language processing ML pipelines for text classification, NER, sentiment analysis, text generation, and embeddings. Activates for "nlp", "text classification", "sentiment analysis", "named entity recogn...

GitHub

increment-work-router

anton-abyzov

Smart work continuation system that detects implementation intent and routes to active increment or creates new one. Activates for implement, complete, build, add, develop, work on, continue, resume, finish, fi...

GitHub

smart-reopen-detector

anton-abyzov

Detects when user reports issues with recently completed work and suggests reopening relevant tasks, user stories, or increments. Auto-activates on keywords: not working, broken, bug, issue, problem, failing, e...

GitHub

ml-deployment-helper

anton-abyzov

Prepares ML models for production deployment with containerization, API creation, monitoring setup, and A/B testing. Activates for "deploy model", "production deployment", "model API", "containerize model", "do...

GitHub

kafka-architecture

anton-abyzov

Expert knowledge of Apache Kafka architecture, cluster design, capacity planning, partitioning strategies, replication, and high availability. Auto-activates on keywords kafka architecture, cluster sizing, part...

GitHub

time-series-forecaster

anton-abyzov

Time series forecasting with ARIMA, Prophet, LSTM, and statistical methods. Activates for "time series", "forecasting", "predict future", "trend analysis", "seasonality", "ARIMA", "Prophet", "sales forecast", "...

GitHub

data-visualizer

anton-abyzov

Automated data visualization for EDA, model performance, and business reporting. Activates for "visualize data", "create plots", "EDA", "exploratory analysis", "confusion matrix", "ROC curve", "feature distribu...

GitHub

ml-pipeline-orchestrator

anton-abyzov

Orchestrates complete machine learning pipelines within SpecWeave increments. Activates when users request "ML pipeline", "train model", "build ML system", "end-to-end ML", "ML workflow", "model training pipeli...

GitHub

model-registry

anton-abyzov

Centralized model versioning, staging, and lifecycle management. Activates for "model registry", "model versioning", "model staging", "deploy to production", "rollback model", "model metadata", "model lineage",...

GitHub

diagrams-architect

anton-abyzov

Expert in creating Mermaid diagrams following C4 Model and SpecWeave conventions. Specializes in system architecture, sequence diagrams, ER diagrams, and deployment diagrams. Activates for diagram creation, arc...

GitHub

architect

anton-abyzov

System Architect and technical design expert. Creates system architecture, technical specifications, Architecture Decision Records (ADRs), component designs, API contracts, data models, and deployment architect...

GitHub

role-orchestrator

anton-abyzov

Multi-agent orchestration system that coordinates specialized agents (PM, Architect, DevOps, QA, Tech Lead, Security) to work together on complex tasks. Implements hierarchical orchestrator-worker pattern. Acti...

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.

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