Subagents for Claude Code

Expert Rust developer for RTK - CLI proxy patterns, filter design, performance optimization

RTK testing expert - snapshot tests, token accuracy, cross-platform validation

Use this agent when you need comprehensive code quality assurance, security vulnerability detection, or performance optimization analysis. This agent should be invoked PROACTIVELY after completing logical chunks of code implementation, before committing changes, or when preparing pull requests. Examples:\n\n<example>\nContext: User has just implemented a new filter for RTK.\nuser: "I've finished implementing the cargo test filter"\nassistant: "Great work on the cargo test filter! Let me use the code-reviewer agent to ensure it follows Rust best practices and token savings claims."\n<uses code-reviewer agent via Task tool>\n</example>\n\n<example>\nContext: User has completed a performance optimization.\nuser: "Here's the optimized lazy_static regex compilation"\nassistant: "Excellent! Now let me invoke the code-reviewer agent to analyze this for potential memory leaks and startup time impact."\n<uses code-reviewer agent via Task tool>\n</example>\n\n<example>\nContext: User has written a new cross-platform shell escaping function.\nuser: "I've created the escape_for_shell function with Windows support"\nassistant: "Perfect! I'm going to use the code-reviewer agent to check for shell injection vulnerabilities and cross-platform compatibility."\n<uses code-reviewer agent via Task tool>\n</example>\n\n<example>\nContext: User has modified RTK hooks for Claude Code integration.\nuser: "Updated the rtk-rewrite.sh hook"\nassistant: "Important changes! Let me immediately use the code-reviewer agent to verify hook integration security and command routing correctness."\n<uses code-reviewer agent via Task tool>\n</example>\n\n<example>\nContext: User mentions they're done with a filter implementation.\nuser: "The git log filter is complete"\nassistant: "Excellent progress! Since filters are core to RTK's value, I'm going to proactively use the code-reviewer agent to verify token savings and regex patterns."\n<uses code-reviewer agent via Task tool>\n</example>

Create clear, comprehensive CLI documentation for RTK with focus on usability, performance claims, and practical examples

Use this agent when making architectural decisions for RTK — adding new filter modules, evaluating command routing changes, designing cross-cutting features (config, tracking, tee), or assessing performance impact of structural changes. Examples: designing a new filter family, evaluating TOML DSL extensions, planning a new tracking metric, assessing module dependency changes.

Use this agent when encountering errors, test failures, unexpected behavior, or when RTK doesn't work as expected. This agent should be used proactively whenever you encounter issues during development or testing.\n\nExamples:\n\n<example>\nContext: User encounters filter parsing error.\nuser: "The git log filter is crashing on certain commit messages"\nassistant: "I'm going to use the debugger agent to investigate this parsing error."\n<commentary>\nSince there's an error in filter logic, use the debugger agent to perform root cause analysis and provide a fix.\n</commentary>\n</example>\n\n<example>\nContext: Tests fail after filter modification.\nuser: "Token savings tests are failing after I updated the cargo test filter"\nassistant: "Let me use the debugger agent to analyze these test failures and identify the regression."\n<commentary>\nTest failures require systematic debugging to identify the root cause and fix the issue.\n</commentary>\n</example>\n\n<example>\nContext: Performance regression detected.\nuser: "RTK startup time increased to 25ms after adding lazy_static regex"\nassistant: "I'm going to use the debugger agent to profile the performance regression."\n<commentary>\nPerformance problems require systematic debugging with profiling tools (flamegraph, hyperfine).\n</commentary>\n</example>\n\n<example>\nContext: Shell escaping bug on Windows.\nuser: "Git commands work on macOS but fail on Windows with shell escaping errors"\nassistant: "Let me launch the debugger agent to investigate this cross-platform shell escaping issue."\n<commentary>\nCross-platform bugs require platform-specific debugging and testing.\n</commentary>\n</example>

E2B sandbox deployment and management specialist. Creates, configures, and manages isolated execution environments for code development and testing.

AI swarm orchestration and management specialist. Deploys, coordinates, and scales multi-agent swarms in the Flow Nexus cloud platform for complex task execution.

Comprehensive GitHub integration modes for workflow orchestration, PR management, and repository coordination with batch optimization

Intelligent agent coordination and dynamic spawning specialist

SPARC methodology orchestrator with hierarchical coordination and self-learning

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Expert agent for creating OpenAPI documentation with pattern learning

Credit management and billing specialist. Handles payment processing, credit systems, tier management, and financial operations within Flow Nexus.

Headless Codex background worker for parallel task execution with self-learning

Manage persistent memory across sessions and facilitate cross-agent memory sharing

Specialized agent for GitHub Actions CI/CD pipeline creation and optimization

Implements comprehensive performance benchmarking for distributed consensus protocols

Application marketplace and template management specialist. Handles app publishing, discovery, deployment, and marketplace operations within Flow Nexus.

Orchestrates Claude Code (interactive) + Codex (headless) for hybrid workflows

Intelligent issue management and project coordination with automated tracking, progress monitoring, and team coordination

Deploy specialized AI agents to perform comprehensive, intelligent code reviews that go beyond traditional static analysis

Advanced financial trading agent that leverages temporal advantage calculations to predict and execute trades before market data arrives. Specializes in using sublinear algorithms for real-time market analysis, risk assessment, and high-frequency trading strategies with computational lead advantages.

V3 Domain-Driven Design specialist for bounded context identification, aggregate design, domain modeling, and ubiquitous language enforcement

TypeScript development specialist

Database design and optimization specialist

Transform specifications into working code with TDD practices

Implements dynamic quorum adjustment and intelligent membership management

Swarm initialization and topology optimization specialist

SPARC Refinement phase specialist for iterative improvement with self-learning

Peer-to-peer mesh network swarm with distributed decision making and fault tolerance

Implementation specialist for writing clean, efficient code

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Automated release coordination and deployment with ruv-swarm orchestration for seamless version management, testing, and deployment across multiple packages

Testing and quality assurance specialist

Specialized agent for backend API development with self-learning and pattern recognition

Test agent that can run for 30+ minutes on complex tasks

Implements comprehensive security mechanisms for distributed consensus protocols

Code review and quality assurance specialist

Expert agent for graph analysis and PageRank calculations using sublinear algorithms. Specializes in network optimization, influence analysis, swarm topology optimization, and large-scale graph computations. Use for social network analysis, web graph analysis, recommendation systems, and distributed system topology design.

Pull request swarm management agent that coordinates multi-agent code review, validation, and integration workflows with automated PR lifecycle management

Python development specialist

SPARC Pseudocode phase specialist for algorithm design with self-learning

Comprehensive performance benchmarking, regression detection and performance validation

V3 Performance Engineering Agent specialized in Flash Attention optimization (2.49x-7.47x speedup), WASM SIMD acceleration, token usage optimization (50-75% reduction), and comprehensive performance profiling with SONA integration.

Expert agent for React Native mobile application development across iOS and Android

Distributed consensus agent that uses sublinear solvers for fast agreement protocols in multi-agent systems. Specializes in Byzantine fault tolerance, voting mechanisms, distributed coordination, and consensus optimization using advanced mathematical algorithms for large-scale distributed systems.

Dynamic topology switching coordinator with self-organizing swarm patterns and real-time optimization

Cross-repository swarm orchestration for organization-wide automation and intelligent collaboration

SPARC Specification phase specialist for requirements analysis with self-learning

Repository structure optimization and multi-repo management with ruv-swarm coordination for scalable project architecture and development workflows

Adaptive resource allocation, predictive scaling and intelligent capacity planning

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Production validation specialist ensuring applications are fully implemented and deployment-ready

Code-centric Goal-Oriented Action Planning specialist that creates intelligent plans for software development objectives. Excels at breaking down complex coding tasks into achievable milestones with clear success criteria. Examples: <example>Context: User needs to implement a new authentication system. user: 'I need to add OAuth2 authentication to our API' assistant: 'I'll use the code-goal-planner agent to create a comprehensive implementation plan with milestones for OAuth2 integration, including provider setup, token management, and security considerations.' <commentary>Since this is a complex feature implementation, the code-goal-planner will break it down into testable milestones.</commentary></example> <example>Context: User wants to improve application performance. user: 'Our app is slow, we need to optimize database queries' assistant: 'I'll use the code-goal-planner agent to develop a performance optimization plan with measurable targets for query optimization, including profiling, indexing strategies, and caching implementation.' <commentary>Performance optimization requires systematic planning with clear metrics, perfect for code-goal-planner.</commentary></example>

Performance bottleneck analyzer for identifying and resolving workflow inefficiencies

Real-time metrics collection, bottleneck analysis, SLA monitoring and anomaly detection

Manages Raft consensus algorithm with leader election and log replication

Security audit and hardening specialist

Advanced code quality analysis agent for comprehensive code reviews and improvements