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AGENTS.md · 58 documents

AGENTS.md

GitHub MCP Server - Configuration Examples

This file contains various configuration examples for using the GitHub MCP Server with different MCP clients.

aipromptmcp
0
0
ampautsc
AGENTS.md

Chapter 4: MCP Protocol Deep Dive

> **MCP is the "USB port" for Agent tools -- it unifies tool discovery, invocation, and authorization, but it doesn't solve the quality problem of tools themselves, and can't turn a bad tool into a good one.**

aiagentmcp
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5
Kocoro-lab
AGENTS.md

Implementation Plan Breakdown

The provided code implements a flexible framework for creating Gymnasium environments powered by state machines and integrates a language model (like GPT-4) to enable an agent to perform reasoning and actions in a ReAct (Reasoning and Acting) paradigm. Below is a detailed explanation of each component in the code:

aiagentrag
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0
OhadRubin
AGENTS.md

Skill Catalog

Complete index of all Claude Code skills in this package for Blender, IfcOpenShell, Bonsai, Sverchok, and Cross-Technology AEC workflows.

aiagentclaude
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0
OpenAEC-Foundation
AGENTS.md

Exception Catching

These examples should be used as guidance when configuring Sentry functionality within a project.

ai
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0
Flexx-R-D
AGENTS.md

Exception Catching

These examples should be used as guidance when configuring Sentry functionality within a project.

ai
0
0
aldhaifani
AGENTS.md

Global Coding Rules

**MUST** use strict TypeScript configuration as defined in tsconfig.json:

ai
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0
bmarguerite
AGENTS.md

Deplayer Agent Guidelines

This document provides build commands and code style guidelines for agentic coding agents working in the Deplayer repository.

aiagentrag
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0
deplayer
AGENTS.md

Backend Project Structure

This document describes the structure of the backend codebase with all modules and their purposes.

aiagenteval
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0
Iemelianov
AGENTS.md

Agents

Agents are AI-powered components that execute tasks within GraphBit workflows. This guide covers how to create, configure, and optimize agents for different use cases.

aiagentllm
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0
InfinitiBit
AGENTS.md

AGENTS.md

Project guidance for AI coding assistants.

aiagent
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0
MichaelHatherly
AGENTS.md

PyRFA - API

**TABLE OF CONTENTS**

0
0
devcartel
AGENTS.md

Usage

zai is a unified Zig library for interacting with various AI provider APIs. It provides a consistent interface for chat completions, text completions, embeddings, and more across multiple providers.

aiopenai
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0
allisoneer
AGENTS.md

power

`int power.ischarging()`

ai
0
0
Pinoccio
AGENTS.md

txova-go-core Usage Guide

This guide provides examples for using the txova-go-core library packages.

ai
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0
Dorico-Dynamics
AGENTS.md

Submail System

![Next.js](https://img.shields.io/badge/Next.js-14-black)

ai
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0
minseo0388
AGENTS.md

Surge Newsroom MCP Server

An MCP (Model Context Protocol) server that exposes Surge (浪潮) newsroom timeline editing tools, allowing LLM clients like Claude Desktop to directly manage event timelines.

aillmmcp
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0
surgefm
AGENTS.md

AGENTS.md

This file provides guidance to AI coding assistants when working with dictionary data in this directory.

aiagentcopilot
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4
openvanilla
AGENTS.md

Browser-only development

This document provides guidance for AI assistants working on the Image MetaHub codebase.

airagprompt
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3
LuqP2
AGENTS.md

Setting Up Windsurf Editor with Neovim Integration

This guide walks you through the process of setting up Windsurf Editor (a VSCode fork by Codeium) with Neovim integration on Linux. Learn how to install necessary components, configure essential extensions, and customise your development environment.

ai
0
0
Pinaki82
AGENTS.md

WARP.md

This file provides guidance to WARP (warp.dev) when working with code in this repository.

airageval
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0
mohammed-Thameem-ansari
AGENTS.md

LibreSpeed Android template

The LibreSpeed Android template allows you to configure and distribute an Android app that performs a speedtest using your existing [LibreSpeed](https://github.com/librespeed/speedtest) server(s).

ai
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1
librespeed
AGENTS.md

Splendor

**To Kepler and beyond**

aiagentrag
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1
0xdbff
AGENTS.md

Comprehensive Agentic AI Learning Plan for ML Engineers

*8-Week Structured Program (6-7 hours/week)*

aiagentllm
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2
girishg-dh
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