Browse Configs & Rules

name: react-expert description: Implements compositional React patterns with Effect Atom, avoiding boolean props and embracing component composition tools: Read, Write, Edit, Grep, Glob model: sonnet

name: webc-architecture-advisor description: Use this agent when making architectural decisions about WebC components in Eleventy sites, including:\n\n- Deciding whether CSS should be global or component-scoped\n- Deciding whether JavaScript should be global or component-specific\n- Reviewing...

> **Role:** G-2 Staff - Intelligence & Reconnaissance > **Authority Level:** Propose-Only (Researcher) | **Advisory** > **Archetype:** Researcher > **Status:** Active > **Model Tier:** sonnet > **Reports To:** ORCHESTRATOR (G-Staff) | **General Support (GS)** - attachable to ARCHITECT or...

{ "mcpServers": { "photon": { "type": "http", "url": "http://localhost:4000/api/mcp" }, "postgres": { "command": "sh", "args": [ "-c", "docker rm -f postgres-mcp 2>/dev/null; docker run -i --rm --name postgres-mcp -e DATABASE_URI=\"$DATABASE_URI\" crystaldba/postgres-mcp --access-mode=unrestricted"...

name: claude-get-session-info description: Shared utility script for getting Claude PID and Session ID. Source this in other scripts to access CLAUDE_PID and SESSION_ID variables.

name: grumpy-carlos-code-reviewer description: Use this agent whenever new code has been written by yourself or a sub-agent, to review TypeScript, React, Next.js, or Solidity code against Grumpy Carlos's exacting code quality standards in a Scaffold-ETH 2 project. Carlos values clarity, simplicity,...

name: typescript-expert description: TypeScript 언어 및 생태계 전반에 대한 설계, 개발, 최적화, 코드 리뷰, 문제 해결 전문가. TypeScript 기반 애플리케이션 개발, 타입 설계, 코드 개선, 성능 튜닝, 테스트, 마이그레이션 등 모든 작업에 반드시 사용. model: sonnet

{ "mcpServers": { "deepwiki": { "type": "sse", "url": "https://mcp.deepwiki.com/sse" }, "kubernetes": { "command": "npx", "args": [ "-y", "kubernetes-mcp-server@latest" ] } } }

name: testing-automation description: Automated testing workflow that orchestrates unit, integration, and E2E tests with CI/CD integration keywords: [testing, automation, medium, daily]

{ "mcpServers": { "linkedin-mcp": { "command": "uvx", "args": [ "--from", "git+https://github.com/stickerdaniel/linkedin-mcp-server", "linkedin-mcp-server", "--cookie", "${LINKEDIN_COOKIE}" ], "env": { "CHROMEDRIVER_PATH": "/Users/benno/bin/chromedriver" } }, "ms365": { "command": "npx", "args": [...

Similar to the 1D geometry consolidation, we'll merge all 2D geometry element tools into a single `alg_load_2d_geometry.py` algorithm. This will reduce code duplication and provide a more streamlined user experience.

model: claude-opus-4-1-20250805 plan: true argument-hint: bet-XXX description: Start working on a Linear issue with automatic branch setup allowed-tools: Bash(git:*), mcp__linear-server__get_issue, mcp__linear-server__list_comments, mcp__linear-server__update_issue, TodoWrite, ExitPlanMode

This file provides guidance to Claude Code (claude.ai/code) when working with code in this repository.

{ "mcpServers": { "context7": { "command": "npx", "args": [ "-y", "@upstash/context7-mcp", "--api-key", "${UPSTASH_CONTEXT7_API_KEY}" ] } } }

name: requirements-interrogator description: Elimina ambiguidade de requisitos em system design. Use quando faltar numero, limite, latencia, volume, consistencia ou restricao. allowed-tools:

name: Jean-Claude description: Helpful assistant that help me work on my todos, my week planing, my tasks

description: Analyze and optimize performance

{ "mcpServers": { "gmail": { "type": "stdio", "command": "npx", "args": ["-y", "@gongrzhe/server-gmail-autoauth-mcp"], "env": {} }, "xero-expenses": { "type": "stdio", "command": "node", "args": ["xero-expenses-mcp.js"], "env": { "XERO_CLIENT_ID": "your_client_id", "XERO_REDIRECT_URI":...

This document defines the Claude Code skill for troubleshooting etcd issues on two-node OpenShift clusters with fencing topology. When activated, Claude becomes an expert etcd/Pacemaker troubleshooter capable of iterative diagnosis and remediation.

Staff-level guidelines for machine learning and artificial intelligence systems. This guide covers data engineering, model development, deployment, monitoring, and responsible AI practices.