This document outlines the custom GitHub Copilot agents available in this repository.
Skills(SKILL.md)は、AIエージェント(Claude Code、Cursor、Codexなど)に特定の能力を追加するための設定ファイルです。
詳しく見る →This document outlines the custom GitHub Copilot agents available in this repository.
**Version**: v0.1.0 | **Status**: Active | **Last Updated**: March 2026
This is a comprehensive GPS tracking binding that integrates Traccar server with openHAB. The binding supports real-time position updates via webhooks, extensive channel support, and handles multiple
This is a web application written using the Phoenix web framework.
This file is the single source of truth for how automation agents (LLMs, scripts, CI bots) should work with this codebase.
> AI-specific documentation and rules. Main AGENTS.md: [../AGENTS.md](../AGENTS.md)
MainTrack is a singleton (master output track) with special behavior:
This repository implements a Flask-based automation platform. The two most
<skills_system priority="1">
This document describes the multi-agent architecture powering the burnout prevention system. The system uses **LangChain4j's Supervisor Pattern** (`langchain4j-agentic`) with Azure OpenAI to orchestra
* Files inside `./src` are considered user-owned target source code.
- The Gradle build expects JVM sources in `src/main/java` and supporting Groovy/utility scripts in `src/main/scripts` and `src/bin`.
Evidence Base Mode should:
**Version**: v1.2.3 | **Status**: Active | **Last Updated**: March 2026
This document provides operational guidance for agentic coding agents working in this repository. It covers build, lint, test workflows, code style conventions, error handling, and how to interact wit
This file serves as:
1. Tous les tests passent (ne rien casser).
Execute the implementation plan by processing and executing all tasks defined in tasks.md
Building AI agents with the Convex Agent component including thread management, tool integration, streaming responses, RAG patterns, and workflow orchestration
> AI agent configuration following the [AGENTS.md standard](https://agents.md)
Guidelines for Apify Actors development (Python)
Specialized AIs orchestrated by the main agent for context management and parallelization.
Analyze agent performance, identify capability gaps, and propose improvements using the Evolution System.
Run this command to automatically spawn parallel subagents to fix skipped/failing tests.
Run this command to automatically spawn parallel subagents to optimize the slowest validators.
List all agents in a plan with their status, features, and clickable links. Helps you find and select which specific agent to run.
> ## Documentation Index
This guide explains how to create new agents in the agent system that handle full workflow execution and artifact creation.
Dynamic agent instantiation based on task requirements with role assignment, context isolation, permission scoping, and resource allocation
This project implements a sophisticated 3-tier agentic framework specifically designed for Claude Code, providing hierarchical specialization and intelligent task delegation across full-stack developm
You can generate agents using a specialized agent that acts as a generator. This agent will help you scaffold new agents.
Subagents are specialized AI assistants with their own context window, custom system prompts, and configurable tool access. They're invoked automatically or explicitly for task-specific workflows.
**Analysis of which specialized agents would improve development efficiency**
<file_format>
> Source: https://code.claude.com/docs/en/sub-agents
loadout has three agents for automated workflows:
**Command:** `/utility:trinity-agents`
Generate specialized agent prompts for the new workflow (Step 4).
Orchestrate FrankX.AI agents for website content creation and strategy
**ALWAYS** use the appropriate specialized sub-agent for the task at hand.
**9 intelligent specialists** with automatic activation for ATDD workflows.
Policy
<core_challenges>
When working with AI agents in the `agents/` directory:
Agent delegation system for Claude Code GoDev framework using native Task tool integration.
These notes orient future agents working on this repository—especially ongoing multi-tenancy hardening—so changes stay consistent and low-disruption.
- In all interactions and commit messages, be extremely concise and sacrifice grammar for the sake of concision.
Agents are specialized subprocesses that handle specific tasks with isolation and tool restrictions.
**Portfolio Project:** omer-akben AI-powered portfolio
This directory contains **extended documentation** for specialized agents. The actual executable agents are in `.claude/agents/`.