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Helm Charts

Helm is a package manager for Kubernetes that helps you manage Kubernetes

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Integration Testing

Integration testing verifies that different parts of your application

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Gitops Argocd

ArgoCD implements GitOps for Kubernetes by continuously reconciling cluster

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Docker Patterns

Docker containerization provides consistent environments across development,

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Docker Compose

Docker Compose is a tool for defining and running multi-container Docker

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Ci Cd Github Actions

GitHub Actions is a CI/CD platform that automates your build, test, and

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Prometheus Metrics

Prometheus is an open-source monitoring and alerting toolkit that collects

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Performance Monitoring

Application Performance Monitoring (APM) helps you understand how your

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Data Augmentation

Data augmentation is a technique used to artificially increase size and

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Vector Database

Vector databases are specialized databases designed to store, index,

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Timescaledb

TimescaleDB is a time-series database optimized for fast ingest and real-time

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Supabase Patterns

Supabase is an open-source Firebase alternative that uses PostgreSQL

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Redis Caching

Redis is an in-memory data structure store that can be used as a database,

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Prisma Guide

Prisma is a next-generation TypeScript ORM for Node.js and TypeScript

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Mongodb Patterns

MongoDB is a document-oriented NoSQL database that provides high performance,

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Database Transactions

Database transactions are fundamental to maintaining data integrity and

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Database Optimization

'Database optimization involves improving query performance, reducing

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Database Migrations

Database migrations are versioned scripts that modify database schema

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Database Locking

Database locking is a mechanism used to manage concurrent access to shared

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Connection Pooling

Connection pooling is a technique used to maintain a cache of database

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Cache Invalidation

'> "There are only two hard things in Computer Science: cache invalidation

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Jest Patterns

Jest is a JavaScript testing framework that focuses on simplicity. This

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Load Testing

Load testing evaluates system performance under expected and peak load

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Alphago Architecture

AlphaGo Architecture is the God-Mode protocol that applies Monte Carlo

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Cognitive Governance

Cognitive Governance is the God-Mode protocol that implements deep, unblockable

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Liquid Architecture

Liquid Architecture enables the AI system to modify and optimize its

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Service Orchestration

'Patterns for orchestrating multiple microservices in Docker Compose

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Structured Data

Structured data (Schema.org) is a standardized format for providing information

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Ml Model Testing

ML model testing ensures machine learning models perform correctly and

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Sitemap Robots

Sitemaps and robots.txt are essential files for search engine optimization.

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Page Speed

Page speed is a critical ranking factor and user experience metric. This

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Nextjs Seo

Next.js provides excellent SEO capabilities out of the box. This guide

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Meta Tags

Meta tags are HTML elements that provide metadata about your webpage.

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Core Web Vitals

Core Web Vitals are a set of metrics that measure real-world user experience.

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User Stories

User stories are short, simple descriptions of a feature told from the

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Technical Specifications

Technical specifications (tech specs) are detailed documents that describe

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Api Design

RESTful API design is an architectural style and set of constraints for

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Prompt Engineering

Comprehensive guide for LLM prompt engineering techniques and best practices.

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Yolo Integration

YOLO (You Only Look Once) is a state-of-the-art object detection model

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Agent Patterns

AI agents are autonomous systems that use Large Language Models (LLMs)

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Ai Observability

Comprehensive guide to monitoring AI/ML systems in production, including

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Embedding Models

Comprehensive guide for text embedding models and usage. This skill covers

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Langchain Patterns

LangChain is a framework for building applications powered by LLMs. It

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Llm Function Calling

LLM function calling (also known as tool use) enables Large Language

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Llm Guardrails

This skill provides comprehensive guidance on implementing guardrails

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Llm Routing Orchestration

As LLM apps scale, you need to route requests intelligently across multiple

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Llm Integration

Comprehensive guide for LLM API integration covering OpenAI, Anthropic,

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Llm Local Deployment

Comprehensive guide for deploying LLMs locally using Ollama, vLLM, and

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Event Driven

Comprehensive guide to event-driven microservices patterns for building

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Escrow Workflow

Patterns for implementing escrow and milestone-based payment systems

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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.