Agent skills
Skills you can use with AI coding agents, indexed from public GitHub repositories.
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deep-learning
PyTorch, TensorFlow, neural networks, CNNs, transformers, and deep learning for production
pluginagentmarketplace/custom-plugin-data-engineer 4
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nosql-databases
MongoDB, Redis, Cassandra, DynamoDB, and distributed database patterns for scalable applications
pluginagentmarketplace/custom-plugin-data-engineer 4
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iac-automation
Terraform, Pulumi, CloudFormation, and infrastructure as code for data platforms
pluginagentmarketplace/custom-plugin-data-engineer 4
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statistics-math
Statistics, probability, linear algebra, and mathematical foundations for data science
pluginagentmarketplace/custom-plugin-data-engineer 4
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api-development
FastAPI, REST APIs, GraphQL, data service design, and API best practices
pluginagentmarketplace/custom-plugin-data-engineer 4
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monitoring-observability
Prometheus, Grafana, logging, alerting, and data pipeline observability
pluginagentmarketplace/custom-plugin-data-engineer 4
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sql-databases
SQL query optimization, schema design, indexing strategies, and relational database mastery for production data systems
pluginagentmarketplace/custom-plugin-data-engineer 4
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mlops
MLflow, model versioning, experiment tracking, model registry, and production ML systems
pluginagentmarketplace/custom-plugin-data-engineer 4
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python-programming
Master Python fundamentals, OOP, data structures, async programming, and production-grade scripting for data engineering
pluginagentmarketplace/custom-plugin-data-engineer 4
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data-engineering
Data pipeline architecture, ETL/ELT patterns, data modeling, and production data platform design
pluginagentmarketplace/custom-plugin-data-engineer 4
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etl-tools
Apache Airflow, dbt, Prefect, Dagster, and modern data orchestration for production data pipelines
pluginagentmarketplace/custom-plugin-data-engineer 4
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testing-quality
pytest, data validation, Great Expectations, and quality assurance for data systems
pluginagentmarketplace/custom-plugin-data-engineer 4
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machine-learning
Supervised & unsupervised learning, scikit-learn, XGBoost, model evaluation, feature engineering for production ML
pluginagentmarketplace/custom-plugin-data-engineer 4
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llms-generative-ai
LLMs, prompt engineering, RAG systems, LangChain, and AI application development
pluginagentmarketplace/custom-plugin-data-engineer 4
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cloud-platforms
AWS, GCP, Azure data platforms, infrastructure as code, and cloud-native data solutions
pluginagentmarketplace/custom-plugin-data-engineer 4
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big-data
Apache Spark, Hadoop, distributed computing, and large-scale data processing for petabyte-scale workloads
pluginagentmarketplace/custom-plugin-data-engineer 4
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git-version-control
Git workflows, branching strategies, collaboration, and code management
pluginagentmarketplace/custom-plugin-data-engineer 4
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data-warehousing
Snowflake, BigQuery, Redshift, dimensional modeling, and modern data warehouse architecture
pluginagentmarketplace/custom-plugin-data-engineer 4
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career-growth
Portfolio building, technical interviews, job search strategies, and continuous learning
pluginagentmarketplace/custom-plugin-data-engineer 4
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containerization
Docker, Kubernetes, container orchestration, and cloud-native deployment for data applications
pluginagentmarketplace/custom-plugin-data-engineer 4
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cicd-pipelines
GitHub Actions, GitLab CI, Jenkins, and automated deployment pipelines
pluginagentmarketplace/custom-plugin-data-engineer 4
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assumption-mapping
Surface, prioritize, and track risky assumptions before investing significant effort. Use when starting a new project, before major feature work, when feeling uncertain about direction, when the user says "I think users want...", "we assume...", "probably...", or before any build decision that hasn't been validated with real users.
Abhsin/DesignSkills 4
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heuristic-evaluation
Systematic usability evaluation using established heuristics (Nielsen's 10, Shneiderman's 8, or custom rubrics). Use when reviewing UI designs, screenshots, prototypes, or live products for usability issues. Triggers on "review this design", "what's wrong with this UI", "usability check", "evaluate this interface", or when user shares screenshots/mockups asking for feedback.
Abhsin/DesignSkills 4
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prompt-export
Convert structured UX specs and product context into a sequenced prompts.md file for Claude Code. Use when a user has completed upstream design thinking (problem framing, PRD, UX spec) and needs to translate that into step-by-step prompts that coding agents can execute incrementally. This skill bridges design artifacts to code generation.
Abhsin/DesignSkills 4