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Model Versioning

Model versioning is practice of tracking and managing different versions

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Model Training

Model training is the process of teaching machine learning models to

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Model Optimization

Model optimization is process of improving machine learning models for

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Label Studio Setup

'Label Studio is an open-source data labeling platform that provides

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Distributed Training

'This skill covers **when and how** to scale training beyond a single

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Data Preprocessing

Data preprocessing is a critical step in machine learning pipelines that

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Algorithmic Self Discovery

Algorithmic Self-Discovery is the God-Mode protocol that enables AI agents

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Technical Debt Management

Technical debt is the implied cost of additional rework caused by choosing

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System Thinking

System thinking is a holistic approach to understanding complex systems

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Swarm Collaboration

Swarm Collaboration enables multiple AI agents with different personas

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Skill Router

The Skill Router is the cognitive orchestrator that dynamically loads

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Skill Generator

The Meta-Skill Generator is the foundational cognitive engine that instructs

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Self Validation Cicd

Self-Validation CI/CD provides an automated pipeline for testing AI-generated

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Risk Assessment

Risk assessment is a systematic process of identifying, analyzing, and

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Problem Framing

Problem framing is the critical first step before any implementation,

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Intelligence Router

The Intelligence Router implements the "Twin-Engine" Intelligence Architecture

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Decision Records

Architecture Decision Records (ADRs) are lightweight documents that capture

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Architectural Reviews

Architectural Reviews is a critical process for evaluating system designs

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Runbooks

Runbooks provide step-by-step procedures for operating and troubleshooting

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Code Commentary Standards

Code commentary (comments) should explain "why" code exists, not "what"

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Changelog Management

Changelogs document changes to software over time, helping users and

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Api Documentation

API documentation is critical for enabling developers to effectively

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Llm Txt Protocol

LLM Text Protocol provides standardized patterns for text-based interactions

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Line Platform Integration

LINE Platform integration enables AI-powered chatbots and services to

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Conversational Ui

Conversational UIs provide natural language interfaces for AI-powered

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Chatbot Integration

AI-powered chatbots use language models to provide conversational interfaces

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Ai Search

'AI-powered search uses language models and vector embeddings to provide

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Ai Agents

AI agents are autonomous systems that use language models to perform

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Technical Seo

Technical SEO is the process of optimizing a website for crawling and

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Service Design

Comprehensive guide to microservice design principles and best practices

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Saga Pattern

The Saga pattern manages distributed transactions by coordinating a series

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Event Sourcing

Event Sourcing stores state changes as an immutable sequence of events.

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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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Cqrs Pattern

'CQRS (Command Query Responsibility Segregation) separates write operations

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Circuit Breaker

Comprehensive guide to circuit breaker pattern implementation for microservices

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Api Gateway

Comprehensive guide to API Gateway patterns using Kong, NGINX, and AWS

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Redis Queue

Comprehensive guide to Redis as a message queue using Bull and BullMQ

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Rabbitmq Patterns

Comprehensive guide to RabbitMQ messaging patterns and best practices

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Queue Monitoring

Comprehensive guide to monitoring message queues including RabbitMQ,

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Mqtt Integration

MQTT (Message Queuing Telemetry Transport) is a lightweight publish/subscribe

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Kafka Streams

Comprehensive guide to Apache Kafka patterns and Kafka Streams for real-time

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Rag Citations Grounding

RAG citations grounding covers systematic process of collecting, managing,

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Rag Chunking Metadata Strategy

RAG chunking metadata strategy covers systematic approach to adding,

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Rag Architecture Patterns

RAG (Retrieval-Augmented Generation) architecture patterns cover system

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Pdf Processing

Comprehensive guide to PDF processing, manipulation, and extraction using

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Ocr Tesseract

Comprehensive guide to Optical Character Recognition (OCR) using Tesseract

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Ocr Paddleocr

PaddleOCR is a powerful, open-source OCR toolkit that supports multi-language

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Image Preprocessing

Comprehensive guide to image preprocessing for OCR and computer vision

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Document Parsing

Comprehensive guide to structured document parsing and information extraction

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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.