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
- `src/` TypeScript sources for the VS Code extension (entry: `extension.ts`).
When working with the LeanSpec documentation site:
**Install dependencies**: `uv sync`
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)
本文档面向后续 agent-code 与开发者，提供 VSeed 子包的架构、流程与关键模块的一页式上下文。
This repository implements a Flask-based automation platform. The two most
<skills_system priority="1">
React component testing support for Rstest browser mode. Provides `render`, `renderHook`, `cleanup`, and `act` utilities for testing React components in a real browser environment.
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.
- Use TypeScript for all source code.
- The Gradle build expects JVM sources in `src/main/java` and supporting Groovy/utility scripts in `src/main/scripts` and `src/bin`.
This file is specific to the `pern` template.
You are a specialized web development agent for the Monsoft Solutions marketing website.
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
Guidelines for Apify Actors development (Python)
Analyze agent performance, identify capability gaps, and propose improvements using the Evolution System.
purpose: "Dynamic parallel execution with dependency management"
> ## 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
**Analysis of which specialized agents would improve development efficiency**
> Source: https://code.claude.com/docs/en/sub-agents
**Command:** `/utility:trinity-agents`
チーム分割・並行開発のパターン
Specialized agent for optimizing Claude Code sub-agents. Expert in agent frontmatter, tool restrictions, permission modes, and autonomous task design.
Orchestrate FrankX.AI agents for website content creation and strategy
**9 intelligent specialists** with automatic activation for ATDD workflows.
Located in `~/.claude/agents/`:
Policy
This file defines 25 specialized AI agents for Specification Driven Development across all platforms.
<core_challenges>
The architecture specifies 3 AI agents (Buyer, Seller, Admin) hosted on Pinata's OpenClaw platform (agents.pinata.cloud). Currently, these agents are implemented as a self-hosted MCP server in `mcp-ag
**この reference を読むタイミング**: skill を新規作成 / 編集するとき、デプロイ前に pressure 下でも動作するか / rationalization に耐えるか検証するために参照する。
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.