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Agent Skills

Agent-Skills.md is a agent skills marketplace, to find the right agent skills for you.

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data-analytics-foundations

Core data analytics concepts, Excel/Google Sheets fundamentals, and data collection techniques

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python-analytics

Python data analysis with pandas, numpy, and analytics libraries

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reporting

Automated reporting and business intelligence delivery

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advanced-analytics

Advanced analytics including machine learning, predictive modeling, and big data techniques

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excel

Advanced Excel and spreadsheet analytics techniques

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data-structures

Master JavaScript objects and arrays including manipulation methods, prototypal inheritance, and complex data structure patterns.

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ecosystem

JavaScript ecosystem including npm, build tools (Webpack, Vite), testing (Jest, Vitest), linting, and CI/CD integration.

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debugging

JavaScript debugging techniques using DevTools, Node.js debugger, and advanced troubleshooting.

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dom-apis

DOM manipulation and browser APIs including element selection, events, storage, fetch, and modern Web APIs.

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modern-javascript

Modern ES6+ JavaScript features including classes, modules, destructuring, iterators, proxies, and latest ECMAScript features.

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performance

JavaScript performance optimization and Web Vitals improvement techniques.

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security

JavaScript security best practices and vulnerability prevention.

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testing

JavaScript testing with Jest, Vitest, and Testing Library for comprehensive test coverage.

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patterns

JavaScript design patterns and architectural best practices.

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fundamentals

Core JavaScript fundamentals including variables, data types, operators, control flow, and basic syntax. Essential foundation for all JavaScript development.

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functions

Advanced function patterns including declaration styles, closures, scope chains, hoisting, and this binding. Master function composition and advanced techniques.

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asynchronous

Master asynchronous JavaScript patterns including callbacks, promises, async/await, event loop mechanics, and real-world async patterns.

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deployments

Master Kubernetes Deployments, StatefulSets, DaemonSets, and workload orchestration. Learn deployment patterns and container orchestration strategies.

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docker-containers

Master Docker containerization, image building, optimization, and container registry management. Learn containerization best practices and image security.

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cluster-admin

Master Kubernetes cluster administration, from initial setup through production management. Learn cluster installation, scaling, upgrades, and HA strategies.

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storage-networking

Master Kubernetes storage management and networking architecture. Learn persistent storage, network policies, service discovery, and ingress routing.

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troubleshooting

Kubernetes debugging, problem diagnosis, and issue resolution

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helm

Helm package management, chart development, and release management

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monitoring

Master Kubernetes observability, monitoring with Prometheus, logging, metrics, and distributed tracing. Learn to implement comprehensive monitoring strategies.

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multi-cluster

Multi-cluster Kubernetes management, federation, and hybrid deployments

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security

Master Kubernetes security, RBAC, network policies, pod security, and compliance. Learn to secure clusters and enforce access control.

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service-mesh

Service mesh implementation with Istio, Linkerd for traffic management

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gitops

Master GitOps practices, CI/CD integration, Helm charts, Kustomize, and ArgoCD. Learn modern deployment patterns and infrastructure as code.

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cost-optimization

Kubernetes cost management, resource optimization, and FinOps practices

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mlops-basics

Master MLOps fundamentals - lifecycle, principles, tools, practices, and organizational adoption

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ml-monitoring

Production-grade ML model monitoring, drift detection, and observability

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training-pipelines

Master training pipelines - orchestration, distributed training, hyperparameter tuning

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model-serving

Master model serving - inference optimization, scaling, deployment, edge serving

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ml-infrastructure

Production-grade ML infrastructure with Kubernetes, auto-scaling, and cost optimization

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feature-stores

Master feature stores - Feast, data validation, versioning, online/offline serving

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experiment-tracking

Master ML experiment tracking - MLflow, W&B, Neptune, versioning, reproducibility

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mongodb-authentication

Master MongoDB authentication methods including SCRAM, X.509 certificates, LDAP, and Kerberos. Learn user creation, role assignment, and securing MongoDB deployments.

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mongodb-security-admin

Master MongoDB security, authentication, authorization, encryption, and backup. Learn role-based access control, TLS/SSL, encryption, and disaster recovery. Use when securing deployments, managing users, or implementing compliance.

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mongodb-app-development

Master MongoDB integration in applications with Node.js, Python, and Java drivers. Learn connections, transactions, error handling, and best practices. Use when building applications with MongoDB.

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mongodb-find-queries

Master MongoDB find queries with filters, projections, sorting, and pagination. Learn query operators, comparison, logical operators, and real-world query patterns. Use when retrieving data from MongoDB collections.

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mongodb-aggregation-pipeline

Master MongoDB aggregation pipeline for complex data transformations. Learn pipeline stages, grouping, filtering, and data transformation. Use when analyzing data, creating reports, or transforming documents.

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mongodb-index-creation

Master MongoDB index creation and types. Learn single-field, compound, unique, text, geospatial, and TTL indexes. Optimize query performance dramatically with proper indexing.

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mongodb-indexing-optimization

Master MongoDB indexing and query optimization. Learn index types, explain plans, performance tuning, and query analysis. Use when optimizing slow queries, analyzing performance, or designing indexes.

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mongodb-crud-operations

Master MongoDB CRUD operations, document insertion, querying, updating, and deletion. Learn BSON format, ObjectId, data types, and basic operations. Use when working with documents, collections, and fundamental MongoDB operations.

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mongodb-schema-design

Master MongoDB schema design and data modeling patterns. Learn embedding vs referencing, relationships, normalization, and schema evolution. Use when designing databases, normalizing data, or optimizing queries.

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mongodb-atlas-setup

Master MongoDB Atlas cloud setup, cluster configuration, security, networking, backups, and monitoring. Get production-ready cloud database in minutes. Use when setting up cloud MongoDB, configuring clusters, or managing Atlas.

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mongodb-replication-sharding

Master MongoDB replication, replica sets, and sharding for distributed deployments. Learn failover, shard keys, and cluster management. Use when setting up high availability or scaling horizontally.

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mongodb-transactions

Master MongoDB ACID transactions for multi-document operations. Learn session management, transaction mechanics, error handling, and production patterns. Guarantee data consistency across multiple operations.

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monitoring

Game server monitoring with metrics, alerting, and performance tracking for production reliability

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message-queues

Message queue systems for game servers including Kafka, RabbitMQ, and actor models

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Adoption

Agent Skills are supported by leading AI development tools.

FAQ

Frequently asked questions about Agent Skills.

01

What are Agent Skills?

Agent Skills are reusable, production-ready capability packs for AI agents. Each skill lives in its own folder and is described by a SKILL.md file with metadata and instructions.

02

What does this agent-skills.md site do?

Agent Skills is a curated directory that indexes skill repositories and lets you browse, preview, and download skills in a consistent format.

03

Where are skills stored in a repo?

By default, the site scans the skills/ folder. You can also submit a URL that points directly to a specific skills folder.

04

What is required inside SKILL.md?

SKILL.md must include YAML frontmatter with at least name and description. The body contains the actual guidance and steps for the agent.

05

How can I submit a repo?

Click Submit in the header and paste a GitHub URL that points to a skills folder. We’ll parse it and add any valid skills to the directory.