Expert in volatility modeling. Knows the arch Python library API deeply (arch_model, GARCH/EGARCH/GJR/FIGARCH/HARCH/APARCH, diagnostics, forecasting, DCC). Use for: GARCH fitting, vol forecasting, sto
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 →Expert in volatility modeling. Knows the arch Python library API deeply (arch_model, GARCH/EGARCH/GJR/FIGARCH/HARCH/APARCH, diagnostics, forecasting, DCC). Use for: GARCH fitting, vol forecasting, sto
Claude tooling configuration and reusable agent definitions under `.claude/`.
Building agents that can intelligently use tools and make decisions is only half the journey; ensuring that these agents are accurate, reliable, and performant is what truly defines their success. [Ll
Display all available BMAD agent personas with their descriptions and primary tasks.
> **Note:** `CLAUDE.md` is a symlink to this file.
Stop. Read this section before doing anything.
This directory contains the source assets that are bridged into Codex skills and related workflows.
Guidelines for updating AGENTS.md while maintaining token optimization and structure.
**버전 0.1.0**
**Name:** `devops-infrastructure-expert`
Instructions for AI coding agents working on this repository.
> **Note:** `CLAUDE.md` is a symlink to this file.
This file defines coordinated multi-agent workflows for enterprise accessibility scanning in the Claude Code environment.
Four AI agent document types stored as JSON inside Mendix MPR files:
**Version:** 2.0.0 | **Astro 5.x** | **Updated:** 2026-03-13
Welcome! This is your command center for working with the Shepherd Church Management System. Think of this as your onboarding guide and quick reference for all AI agents working on this project.
Workflow automation agents using Gemini CLI, Groq API, and Amp CLI.
1. [ToolLoopAgent](#toolloopagent)
Material Design 3 guidelines and Android platform conventions for Jetpack Compose and XML layouts.
CLI entry: `bunx oh-my-opencode`. Interactive installer, doctor diagnostics. Commander.js + @clack/prompts.
Fast reference for Mapbox Maps SDK v11 on Android with Kotlin, Jetpack Compose, and View system.
Spawn multiple parallel coding agents to work on issues simultaneously.
This implementation adds 5 critical agents that fill gaps in the existing agent ecosystem, enabling
Guide for adding or updating model pricing entries in Langfuse. Use this when
Fast reference for Mapbox Maps SDK v11 on iOS with Swift, SwiftUI, and UIKit.
> Usar junto con el skill `angular-component`.
> Best practices for building agents and agentic applications with Plano — the AI-native proxy and dataplane. Covers configuration, routing, agent orchestration, filter chains, observability, CLI oper
<Callout type="warning">
- **Project Name**: {{project_name}}
Agent configurations for Kiro CLI. Tools use Kiro's tool names.
{
Sources: Production evaluation patterns, inspired by anthropics/skills agent architecture
When you have something valuable to teach an AI coding assistant, you face a fundamental choice: package it as a **skill** (a portable SKILL.md file) or build it as an **agent** (a bundle with custom
`★ Insight ─────────────────────────────────────`
Modern Python packaging has converged on `pyproject.toml` as the single source of truth for project metadata, build configuration, and tool settings. A series of PEPs have standardized how Python proj
Data protection spans both compliance requirements and technical controls. Organizations must protect data not only to meet regulatory obligations but also to maintain customer trust and limit busines
The C4 model, created by Simon Brown, is a hierarchical approach to software architecture diagramming. It uses four levels of abstraction — Context, Container, Component, and Code — to describe a soft
- `skills/<skill-name>/SKILL.md` holds each skill. Skill folders use lowercase kebab-case names (e.g., `skills/user-story/SKILL.md`).
D2 is a modern, declarative diagramming language created by Terrastruct. It compiles text into diagrams with support for multiple layout engines, nested containers, scenarios, layers, SQL table shapes
This document compiles all rules from the `nodejs-solid-architecture` skill into a
> **Note:** This document is a compiled reference for AI agents and LLMs. It
Version 1.0.0
General rule of thumb is to follow guidance from [Agents.md](https://agents.md/). At minimum try and provide concise and descriptive examples of what incorrect and correct. Consolidate examples as rea
This document contains detailed explanations, code examples, and implementation guidance for all Inertia Rails best practices.
Software architecture is the set of significant decisions about the organization of a software system -- the selection of structural elements, their interfaces, composition, and the guiding principles
This document compiles all rules from the Structured JSON Logging Best Practices framework, organized by impact priority for comprehensive structured logging implementation guidance.
>-
This file provides guidelines for agents using the **Plugin Integration Development** skill to assist users in creating, developing, and integrating plugins, tools, and commands into OpenClaw.
Headless browser automation server for AI agents. Run locally or deploy to any cloud provider.
Setup guide for using Odoo 18 documentation with AI coding assistants (Cursor, Claude Code, Windsurf, Aider, etc.).