Expert Django developer mastering Django 4+ with modern Python practices. Specializes in scalable web applications, REST API development, async views, and enterprise patt — from…
Expert .NET Core specialist mastering .NET 8 with modern C# features. Specializes in cross-platform development, minimal APIs, cloud-native applications, and microservices with…
Multi-agent orchestration enforcement for /team command. Validates session directory paths and ensures /team Tasks use a valid agent from the routing whitelist.
Use when designing or evaluating a production AI agent system, choosing a multi-agent coordination pattern (orchestrator/worker, fan-out, consensus, sequential chain,…
Expert error detective specializing in complex error pattern analysis, correlation, and root cause discovery.
Use when designing evaluations for AI agents, skills, routers, prompts, tool-use policies, or multi-step workflows: task sets, rubrics, graders, hard negatives, regression cases,…
Design and implement evaluation frameworks for AI agents. Use when testing agent reasoning quality, building graders, doing error analysis, or establishing regression protection.
Evaluate and improve Claude Code commands, skills, and agents. Use when testing prompt effectiveness, validating context engineering choices, or measuring improvement quality.
Testing and benchmarking LLM agents including behavioral testing, capability assessment, reliability metrics, and production monitoring—where even top agents achieve less — from…
Exposes Hermes self-learning architecture to allow CEO Kit agents to autonomously build new scripts (SKILL.md) and fine-tune their base model weights.
Execute Miyabi Agents (Coordinator, CodeGen, Review, Deployment, PR, Issue) with Git Worktree isolation for parallel processing.
Expert Flutter specialist mastering Flutter 3+ with modern architecture patterns. Specializes in cross-platform development, custom animations, native integrations, and…
Build persistent agents on Azure AI Foundry using the Microsoft Agent Framework Python SDK.
Internal taw-kit-codex agent role — general software builder for web, backend, CLI, automation, data, docs, and repo tooling.
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…
Generate an agent across the host AI tools a project uses. Use when the user wants to create, scaffold, or refactor an agent, subagent or specialized role.
Advanced repository analysis and refactoring guide. Identifies technical debt and architectural anti-patterns using AI reasoning.
Expert Go developer specializing in high-performance systems, concurrent programming, and cloud-native microservices.
GraphQL schema architect designing efficient, scalable API graphs. Masters federation, subscriptions, and query optimization while ensuring type safety and developer experience.
Stop AI agents from secretly bypassing your rules. Mechanical enforcement with git hooks, secret detection, deployment verification, and import registries.
Use when the agent is stuck in a loop, repeated failures occur, or context seems overwhelming — triggers on 3+ consecutive failures, circular retry patterns, and unproductive…
Structured self-debugging workflow for AI agent failures using capture, diagnosis, contained recovery, and introspection reports.
Expert IoT engineer specializing in connected device architectures, edge computing, and IoT platform development.
Senior Java architect specializing in enterprise-grade applications, Spring ecosystem, and cloud-native development.
Expert JavaScript developer specializing in modern ES2023+ features, asynchronous programming, and full-stack development.
Expert Kotlin developer specializing in coroutines, multiplatform development, and Android applications.
Expert Kubernetes specialist mastering container orchestration, cluster management, and cloud-native architectures.
Expert Laravel specialist mastering Laravel 10+ with modern PHP practices. Specializes in elegant syntax, Eloquent ORM, queue systems, and enterprise features with focus on…
Expert legacy system modernizer specializing in incremental migration strategies and risk-free modernization.
Expert LLM architect specializing in large language model architecture, deployment, and optimization.
Expert ML engineer specializing in production model deployment, serving infrastructure, and scalable ML systems.
Refactor bloated AGENTS.md, CLAUDE.md, or similar agent instruction files to follow progressive disclosure principles. Splits monolithic files into organized, linked documentation.
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
Self-improving agent architecture using ChromaDB for continuous learning, self-evaluation, and improvement storage.
Observability for Agentforce: adoption, deflection, latency, cost, quality. NOT for agent evaluation/testing (see agentforce-eval-harness) or raw platform-event monitoring.
Distributed systems architect designing scalable microservice ecosystems. Masters service boundaries, communication patterns, and operational excellence in cloud-native…
Expert ML engineer specializing in machine learning model lifecycle, production deployment, and ML system optimization.
Production deployment and operationalization of AI agents on Databricks. Use when deploying agents to Model Serving, setting up MLflow logging and tracing for agents, implementing…
Mobile app E2E testing CLI for AI agents with semantic locators and element references
Cross-platform mobile specialist building performant native experiences. Creates optimized mobile applications with React Native and Flutter, focusing on platform-specific…
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。
Monitoring et observabilité pour agents IA en production. Traces, métriques, alertes. Se déclenche avec "monitoring agent", "observabilité agent", "LangSmith", "traces ag — from…
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…
Expert Next.js developer mastering Next.js 14+ with App Router and full-stack features. Specializes in server components, server actions, performance optimization, and production…
Use when implementing, reviewing, refactoring, simplifying, debugging, or planning code changes that need explicit assumptions, minimal scope, surgical edits, and verifiable…
Create or refactor AGENTS.md and linked instruction docs using progressive disclosure. Use when the user wants repo-specific agent guidance organized, deduplicated, or routed…
Interactive code review for agent iterations. Captures comments, tracks resolution status, and integrates with git diffs.
Create a plan and issues for implementation of a production-ready Python project with proper structure, tooling, and best practices.
Systematic debugging approaches for isolating and fixing software defects. Use when something isn't working and the cause is unclear.
Docker image reviews, optimization, and step-building guidance. Analyzes Dockerfiles for best practices, security issues, and anti-patterns.
Implement only after a validated/approved plan. Use for coding: small diffs, frequent tests, no refactors, stop on ambiguity.
Identify and map different sections of a software project (API, frontend, database, CLI, domain). Use for context scoping and architecture documentation.
Test strategy, execution, and coverage analysis. Use when designing tests, running test suites, or analyzing test results beyond baseline checks.
Test strategy, execution, and coverage analysis. Use when designing tests, running test suites, or analyzing test results beyond baseline checks.
Provides best practices for AI agent orchestration including MCP servers, A2A protocol, multi-agent coordination, and swarm architectures.
Use this agent as the GAS Personal Agent system doctor: an outside systems engineer for diagnosing, strengthening, and improving the PA.
Select and implement the right agentic architecture pattern for a task. Use when designing a multi-step AI workflow, choosing between…
Expert performance engineer specializing in system optimization, bottleneck identification, and scalability engineering.