Capture an Architecture Decision Record — what was decided, why, what alternatives were considered, and when to revisit.
Get a second opinion from another provider AI CLI on architectural decisions or code reviews. Use when the user wants an adversarial review, a second opinion, a design challenge,…
Deep verification agent that finds hidden errors in code, analysis, and architecture. Assumes nothing is correct, drills deep, and verifies every claim independently.
Opinionated architecture sanity check: identify missing decisions, high-risk failure modes, and the simplest viable architecture with operability/security baked in.
Consult a stronger model mid-task for a second opinion before committing to an approach, when stuck, or before declaring a non-trivial task done — the fast-executor +…
Use when an agent needs to run AdvisoryGraphen for evidence-backed technical advisory, architecture review, AI-governed completion review, or case reasoning workflows.
Use when the model setup, equilibrium concept, or proof architecture is the bottleneck for an American Economic Journal: Microeconomics (AEJ: Micro) manuscript — the central skill…
Design, build, deploy, and operate production AI agent systems — single agents, multi-agent teams, and autonomous swarms.
Design high quality multi-agent systems and architectures. Use when the user says "agenisea", "agent infra", or "agent arc".
Run an architecture board of agents where one proposes a design, several review it independently and blind, and a chair synthesizes a binding decision.
Claude Code architecture advisor. Classifies knowledge and delegates to appropriate skills. Use when deciding where to put new knowledge or restructuring components.
Expert architecture reviewer specializing in system design validation, architectural patterns, and technical decision assessment.
Perform 12-Factor Agents compliance analysis on any codebase. Use when evaluating agent architecture, reviewing LLM-powered systems, or auditing agentic applications against the…
Full-stack diagnostic for agent and LLM applications. Audits the 12-layer agent stack for wrapper regression, memory pollution, tool discipline failures, hidden repair loops, and…
Use when designing an AI agent system, selecting agentic design patterns, planning multi-phase workflows, choosing between single-agent and multi-agent architectures, or when…
Choose the right agent topology — single-loop ReAct, plan-and-execute, supervisor / multi-agent, graph-based — and the trade-offs of each.
Use when designing an autonomous agent, planning agent architecture, building a scheduled automation, or creating a Claude Code agent workflow.
Designs feature architectures by analyzing existing codebase patterns and conventions, then providing implementation blueprints with concrete files, interfaces, data flow, and…
Deeply analyzes existing codebase features by tracing execution paths, mapping architecture layers, and documenting dependencies to inform new development.
Guía definitiva sobre cuándo usar un SKILL vs un AGENTE en GitHub Copilot CLI. Consultar antes de diseñar cualquier automatización, subagente, o flujo multi-agente.
Design effective AI agent systems with clear architecture, capability planning, and tool integration.
Help developers design or review useful, controllable, extensible agentic systems and products. Use when the user is designing an agent architecture, harness, tool system, memory…
Review an LLM agent design and find where it will be unreliable, expensive, or unsafe. Use when asked to review an agent architecture, critique a multi-step/tool-using agent,…
Use when the user asks to design multi-agent systems, create agent architectures, define agent communication patterns, or build autonomous agent workflows.
Expert .NET Core specialist mastering .NET 8 with modern C# features. Specializes in cross-platform development, minimal APIs, cloud-native applications, and microservices with…
Run a **memory-consolidation pass** ("dream") for a Claude Code subagent that uses the three-tier memory architecture.
Use when designing or evaluating a production AI agent system, choosing a multi-agent coordination pattern (orchestrator/worker, fan-out, consensus, sequential chain,…
Agentic AI fundamentals for enterprise. What agents are, when to use them vs. workflows or chatbots, agent anatomy, architecture patterns, decision frameworks, and common failure…
Use when designing, building, refactoring, or recovering an LLM agent runtime/control harness, including its loop, provider capabilities, typed tools/state, context/memory,…
Expert IoT engineer specializing in connected device architectures, edge computing, and IoT platform development.
Kotlin and Android/KMP code reviewer. Reviews Kotlin code for idiomatic patterns, coroutine safety, Compose best practices, clean architecture violations, and common Andr — from…
Expert legacy system modernizer specializing in incremental migration strategies and risk-free modernization.
Architecture de mémoire pour agents IA — short-term, long-term, episodic, semantic, working memory. Se déclenche avec "mémoire agent", "agent memory", "long-term memory" — from…
A hybrid memory system that provides persistent, searchable knowledge management for AI agents (Architecture, Patterns, Decisions). — from webzler/agentMemory.git
A hybrid memory system that provides persistent, searchable knowledge management for AI agents (Architecture, Patterns, Decisions). — from webzler/agentMemory.git
Distributed systems architect designing scalable microservice ecosystems. Masters service boundaries, communication patterns, and operational excellence in cloud-native…
Agent 构建机模块架构指南（Go 语言），涵盖 Agent 启动流程、心跳机制、任务领取执行、升级更新、与 Dispatch 交互。当用户开发 Agent 功能、修改心跳逻辑、处理任务执行或实现 Agent 升级时使用。
Design agent-native applications where agents replace UI users as the primary actor. Use when designing MCP tools, agent-loop architectures, shared-workspace file pattern — from…
Designs enterprise or multi-site network architecture from requirements, using existing network skills for focused routing, validation, automation, and troubleshooting detail.
Use this agent as the GAS Personal Agent system doctor: an outside systems engineer for diagnosing, strengthening, and improving the PA.
Orchestrate a 6-round, multi-role cross-examination panel meeting to debate architecture, code, or features and produce a final decision-ready JSON contract with trade-offs and…
Select and implement the right agentic architecture pattern for a task. Use when designing a multi-step AI workflow, choosing between…
Design and deploy AI agent identities, multi-agent teams, and role-specific profiles for Hermes Agent.
Use when reviewing an AI plugin pull request, auditing plugin quality before release, or when asked to "review a plugin PR", "review skills in this PR", "check plugin quality", or…
Create well-structured prompts for AI agents using proven architecture patterns. Use when users ask to write agent prompts, system prompts, or agent instructions, or want to…
Expert prompt engineer specializing in designing, optimizing, and managing prompts for large language models.
Get external agent review and feedback. Routes Anthropic models through Claude Agent SDK (uses local subscription) and other models through OpenRouter API.
Get external agent review and feedback. Routes Anthropic models through Claude Agent SDK (uses local subscription) and other models through OpenRouter API.
Use when you operate coding-agent infrastructure with a feedback signal — eval suites, run-level telemetry, A/B baselines, or a skill catalog under test — and want to cap — from…
Comprehensive knowledge of Claude Agent SDK architecture, tools, hooks, skills, and production patterns.
Assists in creating Agent Skills of varying complexity levels (simple, moderate, complex). Use when the user wants to create, design, or build a new Agent Skill, or when they need…
Expert tooling engineer specializing in developer tool creation, CLI development, and productivity enhancement.
Creates additional AI agents using modern 2025 patterns. Guides through agent architecture, generates agent blueprints, and produces implementation-ready code.
Persistent, per-project knowledge base for coding agents. Maintains a wiki of cross-referenced markdown pages — architecture, bugs, decisions, gotchas, patterns, dependencies —…
Enforces high-level architectural thinking, separation of concerns, and scalability checks before coding. — from engineering/architecture
Enforces high-level architectural thinking, separation of concerns, and scalability checks before coding. — from engineering/architecture
Unifying control-systems metalayer for LLM-as-controller agent development. Bootstrap any repository with typed plant/action/trace schemas, safety shield conventions, multi-rate…
Architecture guidelines for Jarvy CLI - codebase structure, tool implementation patterns, registry system, platform-specific code organization, and module conventions.
Build persistent multi-agent operating systems on Claude Code. Covers kernel architecture, specialist agents, slash commands, file-based memory, scheduled automation, and state…
Use when designing tool-use agents, multi-step reasoning systems, planning loops, multi-agent architectures, or agent evaluation frameworks.