Results for “multi-service”

Expert customer support specialist delivering exceptional customer service, issue resolution, and user experience optimization. Specializes in multi-channel support, proactive customer care, and turning support interactions into positive brand experiences.

Designs distributed system architectures, decomposes monoliths into bounded-context services, recommends communication patterns, and produces service boundary diagrams and resilience strategies.

Map the end-to-end service delivery system including frontstage actions, backstage processes, and supporting infrastructure.

Builds multi-tenant Laravel SaaS applications with stancl/tenancy v3, covering tenant identification, data isolation, bootstrappers, queues, and production patterns.

Run a genuinely-parallel multiagent implementation with detailed guidance - plan, gate on environment, spawn subagents concurrently, aggregate, and debug/retry

Design system architecture, evaluate microservices vs monolith, create architecture diagrams, analyze dependencies, choose databases, and make technical decisions with architecture decision records.

Architects, reviews, and scales backend systems with structured blueprints, trade-off analysis, and audit reports.

Use when provisioning multi-tenant infrastructure, setting up tenant isolation, managing tenant lifecycles, or handling tenant-specific resource allocation. This skill provides standardized patterns for multi-tenant SaaS operations.

Multiplayer game development principles. Architecture, networking, synchronization.

对两家及以上上市公司或股票进行横向研究，覆盖大盘与板块、外围市场、供应链、重要新闻与监管、商业模式、经营财务、成长、预期、估值、股价、组合以及 A/H 股与跨上市地相对价值。适用于公司比较、选股、财报或估值对比、股价与事件复盘、供应链或监管分析、组合适配、配对交易、H 股相对价值，以及需要飞书文档、高级金融图表或可复核多维报告的任务。

MONOPOLY is a Senior System Design Engineer skill for architecting, reviewing, and scaling systems. Triggers on requests involving architecture, databases, scaling, microservices, or infrastructure de

Coordinate multiple agents for complex tasks. Use for multi-perspective analysis, comprehensive reviews, or tasks requiring different domain expertise.

Guides the creation of high-quality MCP servers that enable LLMs to interact with external services through well-designed tools, covering planning, implementation, testing, and evaluation across multiple programming languages.

Master Test Architect and Quality Advisor. Use when the user asks to talk to Murat or requests the Test Architect.

Orchestrate multi-bot trading swarms on Pump.fun with persona-driven agents

Multimodal Learning with Transformers: A Survey

Use for writing, reviewing, debugging, or testing Python Streamlit apps, especially rerun behavior, widget identity and callbacks, session_state, cache_data/cache_resource, forms, fragments, containers, multipage navigation, uploads/downloads, and Streamlit-hosted chart/table interaction. Do not use for standalone Plotly/Altair figure design, generic backend services, Dash apps, or deployment configuration without app code.

Build a compact, validation-gated implementation plan for multi-step, risky, or ambiguous work — typically when phases need explicit checkpoints, the change touches multiple files/services, or the user wants alignment before execution. Output goes to `.claude/plans/<topic>.md` (or `.agents/plans/`) with goal, in/out-of-scope, phased steps, validation per phase, and replanning triggers. Skip for trivial single-file fixes, bug investigations (use `tracer`), or open-ended exploration (use `explore`). Pair with `ship` once the plan ends and merge work begins.

A complete tour of the intelli-verse-x 5-layer stack — Leantime/GitHub at the top, Beads/Bernstein/Claude-Squad in the middle, Gas Town as the multi-project fabric, and LiteLLM/Infisical/Langfuse/n8n/GH-Actions underneath. Use whenever the user asks "what does X service do", "where does Y data live", "how do I get to Z", or you need to understand which tool to reach for. This is the architecture map.