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pluginagentmarketplace

pluginagentmarketplace

601 Skills published on GitHub.

analytics-metrics-kpi

Master metrics definition, KPI tracking, dashboarding, A/B testing, and data-driven decision making. Use data to guide product decisions.

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competitive-analysis

Competitive intelligence, market analysis, and strategic positioning for product differentiation.

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user-discovery-research

Master user research methodologies, customer interviews, persona development, and journey mapping. Understand customer problems deeply before building.

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launch-gtm-execution

Master go-to-market strategy, launch planning and execution, sales enablement, and marketing campaigns. Execute successful product launches.

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leadership-stakeholder-management

Master stakeholder management, executive communication, cross-functional alignment, and product advocacy. Lead effectively across your organization.

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pricing

Product pricing strategies, monetization models, and revenue optimization for SaaS and digital products.

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roadmap-prioritization-planning

Master prioritization frameworks, roadmap planning, timeline estimation, and resource allocation. Create executable roadmaps that drive focus and alignment.

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stakeholder-communication

Stakeholder management, executive communication, and organizational alignment for product leaders.

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product-strategy

Master product strategy, market analysis, competitive positioning, and long-term product vision. Define business models and craft go-to-market strategies that drive success.

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api-development

FastAPI, REST APIs, GraphQL, data service design, and API best practices

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big-data

Apache Spark, Hadoop, distributed computing, and large-scale data processing for petabyte-scale workloads

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career-growth

Portfolio building, technical interviews, job search strategies, and continuous learning

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cicd-pipelines

GitHub Actions, GitLab CI, Jenkins, and automated deployment pipelines

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cloud-platforms

AWS, GCP, Azure data platforms, infrastructure as code, and cloud-native data solutions

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containerization

Docker, Kubernetes, container orchestration, and cloud-native deployment for data applications

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data-engineering

Data pipeline architecture, ETL/ELT patterns, data modeling, and production data platform design

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data-warehousing

Snowflake, BigQuery, Redshift, dimensional modeling, and modern data warehouse architecture

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deep-learning

PyTorch, TensorFlow, neural networks, CNNs, transformers, and deep learning for production

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etl-tools

Apache Airflow, dbt, Prefect, Dagster, and modern data orchestration for production data pipelines

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git-version-control

Git workflows, branching strategies, collaboration, and code management

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iac-automation

Terraform, Pulumi, CloudFormation, and infrastructure as code for data platforms

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llms-generative-ai

LLMs, prompt engineering, RAG systems, LangChain, and AI application development

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machine-learning

Supervised & unsupervised learning, scikit-learn, XGBoost, model evaluation, feature engineering for production ML

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mlops

MLflow, model versioning, experiment tracking, model registry, and production ML systems

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monitoring-observability

Prometheus, Grafana, logging, alerting, and data pipeline observability

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nosql-databases

MongoDB, Redis, Cassandra, DynamoDB, and distributed database patterns for scalable applications

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python-programming

Master Python fundamentals, OOP, data structures, async programming, and production-grade scripting for data engineering

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sql-databases

SQL query optimization, schema design, indexing strategies, and relational database mastery for production data systems

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statistics-math

Statistics, probability, linear algebra, and mathematical foundations for data science

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testing-quality

pytest, data validation, Great Expectations, and quality assurance for data systems

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css-sass

Use Sass/SCSS for advanced CSS preprocessing with modern @use/@forward syntax

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css-tailwind

Build with Tailwind CSS utility-first framework - configuration, customization, best practices

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artifact-management

Artifact repositories with Nexus, Artifactory, and container registries for build artifact storage

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cicd-skill

CI/CD pipelines with Git, GitHub Actions, GitLab CI, Jenkins, and deployment strategies.

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cloud-skill

Cloud infrastructure with AWS, Azure, GCP - architecture, services, security, and cost optimization.

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configuration-management

Infrastructure configuration with Ansible, Chef, Puppet, and SaltStack for automated server management

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containers-skill

Docker and Kubernetes - containerization, orchestration, and production deployment.

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gitops

GitOps practices with ArgoCD, FluxCD, and declarative infrastructure management

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linux-fundamentals-skill

Complete Linux administration skill covering process management, filesystem, permissions, package management, users, bash scripting, and system monitoring.

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logging

Centralized logging with ELK Stack, Loki, Fluentd, and log analysis for distributed systems

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networking-skill

Network protocols and troubleshooting - TCP/IP, DNS, HTTP/HTTPS, SSH, firewalls.

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scripting

DevOps scripting with Bash, Python, and Go for automation, tooling, and infrastructure management

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security

DevSecOps practices including secrets management, SSL/TLS, vulnerability scanning, and compliance

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serverless

Serverless computing with AWS Lambda, Azure Functions, Google Cloud Functions, and edge computing

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service-mesh

Service mesh technologies including Istio, Linkerd, Consul, and Envoy for microservices communication

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version-control

Git version control, branching strategies, GitHub/GitLab workflows, and collaborative development

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mlops-deployment

Docker, Kubernetes, CI/CD, model monitoring, and cloud platforms. Use for deploying ML models to production, setting up pipelines, or infrastructure.

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nlp-processing

Text processing, sentiment analysis, LLMs, and NLP frameworks. Use for text classification, named entity recognition, or language models.

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python-programming

Python fundamentals, data structures, OOP, and data science libraries (Pandas, NumPy). Use when writing Python code, data manipulation, or algorithm implementation.

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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.

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pluginagentmarketplace | Agent Skills