Browse 699 Specialized Subagents — Specialized Subagents & Slash Commands
.claude/agents/*.md, .github/agents/*.md, BMAD orchestrators 699 free and paid blueprints with pre-filled examples.
Specialized Subagents blueprints
Subagent Directive: SuperClaude Subagent: Repo Index
Repository indexing and codebase briefing assistant
Subagent Directive: Subagent: Microservices Architect
Use when designing distributed system architecture, decomposing monolithic applications into independent microservices, or establishing communication patterns between services at scale.
Subagent Directive: Orchestrator Agent: Sisyphus
Main orchestrator agent that plans, delegates, and coordinates multi-step development workflows. (Sisyphus - Lead Developer, Gemini Optimized)
Subagent Directive: Subagent: Comprehensive Review Security Auditor
Expert security auditor specializing in DevSecOps, comprehensive cybersecurity, and compliance frameworks. Masters vulnerability assessment, threat modeling, secure authentication (OAuth2/OIDC), OWASP standards, cloud security, and security automation. Handles DevSecOps integration, compliance (GDPR/HIPAA/SOC2), and incident response. Use PROACTIVELY for security audits, DevSecOps, or compliance implementation.
Subagent Directive: Subagent: Nlp Engineer
Use when building production NLP systems, implementing text processing pipelines, developing language models, or solving domain-specific NLP tasks like named entity recognition, sentiment analysis, or machine translation.
Subagent Directive: Copilot Subagent: React19 Commander
Master orchestrator for React 19 migration. Invokes specialist subagents in sequence - auditor, dep-surgeon, migrator, test-guardian - and gates advancement between steps. Uses memory to track migration state across the pipeline. Zero tolerance for incomplete migrations.
Subagent Directive: Subagent: Visual Asset Generator
Use this agent when you need to generate production-ready visual assets for a project — app icons, favicons, OG images, logos, wordmarks, or social media images. Invokes the prompt-to-asset MCP server to route generation requests across 30+ image models.
Subagent Directive: SuperClaude Subagent: Performance Engineer
Optimize system performance through measurement-driven analysis and bottleneck elimination
Subagent Directive: Orchestrator Agent: Atlas
Orchestrates work via invoke_subagent to complete ALL tasks in a todo list/plan until fully done. (Atlas - Master Orchestrator, Gemini Optimized)
Subagent Directive: Subagent: Rust Pro
Master Rust 1.75+ with modern async patterns, advanced type system features, and production-ready systems programming. Expert in the latest Rust ecosystem including Tokio, axum, and cutting-edge crates. Use PROACTIVELY for Rust development, performance optimization, or systems programming.
Subagent Directive: Orchestrator Agent: Planner
Create dependency-aware execution plans with explicit acceptance criteria.
Subagent Directive: Copilot Subagent: Tdd Refactor Phase Improve Quality & Security
Improve code quality, apply security best practices, and enhance design whilst maintaining green tests and GitHub issue compliance.
Subagent Directive: Subagent: Vue Expert
Use this agent when building Vue 3 applications that require Composition API mastery, reactivity optimization, or Nuxt 3 development with enterprise-scale performance concerns.
Subagent Directive: Copilot Subagent: Caveman Mode
Terse, low-token responses. Minimal words, no fluff. Full capabilities preserved. Use when: optimize token usage, low-token mode, concise output, caveman mode, reduce verbosity, token-efficient, brief responses.
Subagent Directive: Copilot Subagent: Shopify Expert
Expert Shopify development assistant specializing in theme development, Liquid templating, app development, and Shopify APIs
Subagent Directive: Orchestrator Agent: Qa Tester
Run interactive runtime checks and report reproducible validation evidence.
Subagent Directive: SuperClaude Subagent: Root Cause Analyst
Systematically investigate complex problems to identify underlying causes through evidence-based analysis and hypothesis testing
Subagent Directive: Subagent: Windows Infra Admin
Use when managing Windows Server infrastructure, Active Directory, DNS, DHCP, and Group Policy configurations, especially for enterprise-scale deployments requiring safe automation and compliance validation.
Subagent Directive: Subagent: Ml Engineer
Build production ML systems with PyTorch 2.x, TensorFlow, and modern ML frameworks. Implements model serving, feature engineering, A/B testing, and monitoring. Use PROACTIVELY for ML model deployment, inference optimization, or production ML infrastructure.
Subagent Directive: Copilot Subagent: Accessibility Runtime Tester
Runtime accessibility specialist for keyboard flows, focus management, dialog behavior, form errors, and evidence-backed WCAG validation in the browser.
Subagent Directive: Copilot Subagent: Expert React Frontend Engineer
Expert React 19.2 frontend engineer specializing in modern hooks, Server Components, Actions, TypeScript, and performance optimization
Subagent Directive: Subagent: Terraform Engineer
Use when building, refactoring, or scaling infrastructure as code using Terraform with focus on multi-cloud deployments, module architecture, and enterprise-grade state management.
Subagent Directive: Copilot Subagent: React18 Commander
Master orchestrator for React 16/17 → 18.3.1 migration. Designed for class-component-heavy codebases. Coordinates audit, dependency upgrade, class component surgery, automatic batching fixes, and test verification. Uses memory to gate each phase and resume interrupted sessions. 18.3.1 is the target - it surface-exposes every deprecation that React 19 will remove, so the output is a codebase ready for the React 19 orchestra next.
Subagent Directive: Antigravity Subagent: Conversation Analyzer
Use this agent when analyzing conversation transcripts to find behaviors worth preventing with hooks. Typical triggers include the /hookify command being invoked without arguments, or the user explicitly asking to look back at the current conversation and surface mistakes that should be prevented in the future. See "When to invoke" in the agent body for worked scenarios.