Claude Code Subagents · page 4

Use this agent when you need to run the Ralph orchestrator end-to-end test suite, analyze diagnostic outputs, and generate comprehensive reports of findings. This includes validating backend connectivity, orchestration loop behavior, event parsing, hat collections, memory systems, and error handling. Invoke this agent after making changes to core orchestration logic, before releases, or when debugging integration issues.\\n\\nExamples:\\n\\n<example>\\nContext: User has made changes to the event parsing logic and wants to verify nothing is broken.\\nuser: \"I just modified the event parsing in ralph-core, can you verify everything still works?\"\\nassistant: \"I'll use the ralph-e2e-verifier agent to run the full E2E test suite and analyze the results.\"\\n<Task tool invocation to launch ralph-e2e-verifier>\\n</example>\\n\\n<example>\\nContext: User is preparing a release and needs validation.\\nuser: \"We're preparing to release v0.5.0, please run the E2E tests\"\\nassistant: \"I'll launch the ralph-e2e-verifier agent to run comprehensive E2E tests across all backends and generate a release readiness report.\"\\n<Task tool invocation to launch ralph-e2e-verifier>\\n</example>\\n\\n<example>\\nContext: User notices orchestration issues and wants diagnostics analyzed.\\nuser: \"Ralph seems to be selecting the wrong hats, can you investigate?\"\\nassistant: \"I'll use the ralph-e2e-verifier agent to run E2E tests with diagnostics enabled and analyze the hat selection decisions.\"\\n<Task tool invocation to launch ralph-e2e-verifier>\\n</example>

Use this agent when you need to execute a Ralph orchestration loop end-to-end and verify its completion. This includes testing prompts against the Ralph system, validating that orchestration completes successfully, and capturing both results and any runtime issues. Examples:\\n\\n<example>\\nContext: User wants to test if a prompt works correctly with Ralph orchestration.\\nuser: \"Test if Ralph can handle the prompt 'create a hello world function'\"\\nassistant: \"I'll use the ralph-loop-runner agent to execute this prompt through Ralph and verify completion.\"\\n<Task tool call to ralph-loop-runner agent>\\n</example>\\n\\n<example>\\nContext: User is debugging why a Ralph run failed.\\nuser: \"Run this spec through Ralph and tell me what went wrong\"\\nassistant: \"Let me use the ralph-loop-runner agent to execute this and capture any runtime problems.\"\\n<Task tool call to ralph-loop-runner agent>\\n</example>\\n\\n<example>\\nContext: User wants to validate Ralph behavior after code changes.\\nuser: \"I just modified the event parser, can you run a test loop?\"\\nassistant: \"I'll use the ralph-loop-runner agent to run a complete orchestration loop and verify the changes work correctly.\"\\n<Task tool call to ralph-loop-runner agent>\\n</example>

executor が返した advisor-request.v1 に対して方針だけ返す非実行 advisor

sprint-contract と review artifact を基準に verdict を返す read-only reviewer

実装、preflight 自己点検、検証、commit 準備を 1 タスク単位で進める統合ワーカー

Email inbox search specialist, takes in appropriate context for the email and a goal of what to search for. Return the answer to the question.

Use this agent for comprehensive codebase analysis, forensic examination, and detailed code mapping with optional Chain of Draft (CoD) methodology. Excels at locating specific functions, classes, and logic, security vulnerability analysis, pattern detection, architectural consistency verification, and creating navigable code reference documentation with exact line numbers. Examples: <example>Context: User needs to find authentication-related code in the project. user: "Where is the user authentication logic implemented?" assistant: "I'll use the code-searcher agent to locate authentication-related code in the codebase" <commentary>Since the user is asking about locating specific code, use the code-searcher agent to efficiently find and summarize authentication logic.</commentary></example> <example>Context: User wants to understand how a specific feature is implemented. user: "How does the license validation work in this system?" assistant: "Let me use the code-searcher agent to find and analyze the license validation implementation" <commentary>The user is asking about understanding specific functionality, so use the code-searcher agent to locate and summarize the relevant code.</commentary></example> <example>Context: User needs to find where a bug might be occurring. user: "I'm getting an error with the payment processing, can you help me find where that code is?" assistant: "I'll use the code-searcher agent to locate the payment processing code and identify potential issues" <commentary>Since the user needs to locate specific code related to an error, use the code-searcher agent to find and analyze the relevant files.</commentary></example> <example>Context: User requests comprehensive security analysis using Chain of Draft methodology. user: "Analyze the entire authentication system using CoD methodology for comprehensive security mapping" assistant: "I'll use the code-searcher agent with Chain of Draft mode for ultra-concise security analysis" <commentary>The user explicitly requests CoD methodology for comprehensive analysis, so use the code-searcher agent's Chain of Draft mode for efficient token usage.</commentary></example> <example>Context: User wants rapid codebase pattern analysis. user: "Use CoD to examine error handling patterns across the codebase" assistant: "I'll use the code-searcher agent in Chain of Draft mode to rapidly analyze error handling patterns" <commentary>Chain of Draft mode is ideal for rapid pattern analysis across large codebases with minimal token usage.</commentary></example>

Execute OpenAI Codex CLI (GPT-5.2) for code analysis. Use when you need Codex's GPT-5.2 perspective on code.

Execute TZ='Australia/Brisbane' date command and return ONLY the raw output. No formatting, headers, explanations, or parallel agents.

Use this agent proactively to synchronize memory bank documentation with actual codebase state, ensuring architectural patterns in memory files match implementation reality, updating technical decisions to reflect current code, aligning documentation with actual patterns, maintaining consistency between memory bank system and source code, and keeping all CLAUDE-*.md files accurately reflecting the current system state. Examples: <example>Context: Code has evolved beyond documentation. user: "Our code has changed significantly but memory bank files are outdated" assistant: "I'll use the memory-bank-synchronizer agent to synchronize documentation with current code reality" <commentary>Outdated memory bank files mislead future development and decision-making.</commentary></example> <example>Context: Patterns documented don't match implementation. user: "The patterns in CLAUDE-patterns.md don't match what we're actually doing" assistant: "Let me synchronize the memory bank with the memory-bank-synchronizer agent" <commentary>Memory bank accuracy is crucial for maintaining development velocity and quality.</commentary></example>

Use this agent when you need comprehensive UX/UI design guidance, including user experience optimization, premium interface design, scalable design systems, data visualization with Highcharts, or Tailwind CSS implementation. Examples: <example>Context: User is building a dashboard with complex data visualizations and wants to improve the user experience. user: 'I have a dashboard with multiple charts but users are getting confused by the layout and the data is hard to interpret' assistant: 'I'll use the ux-design-expert agent to analyze your dashboard UX and provide recommendations for better data visualization and user flow optimization.'</example> <example>Context: User wants to create a premium-looking component library for their product. user: 'We need to build a design system that looks professional and scales across our product suite' assistant: 'Let me engage the ux-design-expert agent to help design a scalable component library with premium aesthetics using Tailwind CSS.'</example> <example>Context: User is struggling with a complex multi-step user flow. user: 'Our checkout process has too many steps and users are dropping off' assistant: 'I'll use the ux-design-expert agent to streamline your checkout flow and reduce friction points.'</example>

Execute z.ai GLM 4.7 model via Claude Code CLI. Use when you need z.ai's GLM 4.7 perspective on code analysis.

Audit and fix Claude Code SKILL.md files to meet enterprise compliance standards. Analyzes frontmatter, required sections, and style. Use when you need to validate or repair skills in a plugin directory.

Analyzes and optimizes context window usage across sessions. Use when context feels bloated, sessions run slow, or approaching compaction limits.

Analyze session token usage and cost patterns. Identify expensive operations and recommend optimizations. Use to understand and reduce session costs.

Specialized debugging agent. Use when facing hard bugs, test failures, or runtime errors that need systematic investigation.

Multi-phase development agent. Research > Plan > Implement with validation gates. Use PROACTIVELY when building features that touch >5 files or require architecture decisions.

Analyze permission denial patterns and generate optimized alwaysAllow/alwaysDeny rules. Use when permission prompts slow down workflow.

Break down complex tasks into implementation plans before writing code. Use when task touches >5 files, requires architecture decisions, or has unclear requirements.

Code review specialist that verifies every finding against actual code before reporting. Use before committing, for PR reviews, or after major changes.

Confidence-gated exploration that assesses readiness before implementation. Scores 0-100 across five dimensions and gives GO/HOLD verdict.

Manage MCP (Model Context Protocol) server integrations - discover tools/prompts/resources, analyze relevance for tasks, and execute MCP capabilities. Use when need to work with MCP servers, discover available MCP tools, filter MCP capabilities for specific tasks, execute MCP tools programmatically, or implement MCP client functionality. Keeps main context clean by handling MCP discovery in subagent context.

Use this agent when you need to visualize UI concepts through ASCII mockups before implementation. Examples: <example>Context: User has an idea for a dashboard layout with data tables and charts. user: 'I want to create a dashboard that shows user analytics with a sidebar navigation, main content area with charts, and a data table below' assistant: 'I'll use the ascii-ui-mockup-generator agent to create multiple ASCII mockup variations for your dashboard concept.' <commentary>The user wants to visualize a UI concept, so use the ascii-ui-mockup-generator to create multiple ASCII representations they can choose from.</commentary></example> <example>Context: User is designing a form layout with multiple input fields. user: 'I need a contact form with name, email, message fields and a submit button' assistant: 'Let me use the ascii-ui-mockup-generator to create several ASCII mockup options for your contact form layout.' <commentary>Since the user needs to visualize form layouts, use the ascii-ui-mockup-generator to provide multiple ASCII design options.</commentary></example>

codebase-pattern-finder is a useful subagent_type for finding similar implementations, usage examples, or existing patterns that can be modeled after. It will give you concrete code examples based on what you're looking for! It's sorta like codebase-locator, but it will not only tell you the location of files, it will also give you code details!

PROACTIVELY use when reviewing communication drafts or preparing difficult conversations. Provides email refinement, tone calibration, roleplay practice, and presentation feedback with actionable suggestions.

Default agent for handling complex, multi-step tasks with automatic delegation capabilities

Mermaid diagram specialist for creating flowcharts, sequence diagrams, ERDs,

Expert UI/UX design critic and advisor who provides research-backed, opinionated feedback on interfaces. Use when you need honest assessment of design decisions, want to avoid generic "AI slop" aesthetics, need evidence-based UX guidance, or want distinctive design direction grounded in actual user behavior research. This agent will push back on bad ideas and cite sources for every recommendation.

Expert skill auditor for Claude Code Skills. Use when auditing, reviewing, or evaluating SKILL.md files for best practices compliance. MUST BE USED when user asks to audit a skill.

Expert slash command auditor for Claude Code slash commands. Use when auditing, reviewing, or evaluating slash command .md files for best practices compliance. MUST BE USED when user asks to audit a slash command.

Expert subagent auditor for Claude Code subagents. Use when auditing, reviewing, or evaluating subagent configuration files for best practices compliance. MUST BE USED when user asks to audit a subagent.

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Delegates to this agent when the user asks about API security testing, REST API attacks, GraphQL exploitation, OAuth/OIDC vulnerabilities, JWT attacks, API enumeration, or web service penetration testing methodology.

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Delegates to this agent when the user asks about command-and-control framework operations, Sliver/Mythic/Havoc/Cobalt Strike configuration, listener and beacon tuning, malleable C2 profiles, sleep and jitter strategy, redirector and CDN fronting infrastructure, or operating an established foothold during authorized red team engagements.

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Delegates to this agent when the user asks about cloud security testing, AWS/Azure/GCP penetration testing, cloud misconfiguration analysis, IAM privilege escalation, container security, Kubernetes attacks, serverless security, or cloud-native attack paths.

Delegates to this agent when the user asks about container escape, Docker breakout, Kubernetes pod escape, runc/containerd CVE exploitation, capability abuse, privileged container hunting, kubelet API attacks, service account token abuse, or any technique that pivots from inside a container to the host or cluster control plane during authorized testing.

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Delegates to this agent when the user is working on CTF challenges, capture the flag competitions, HackTheBox machines, TryHackMe rooms, or needs help with CTF methodology including web exploitation, binary exploitation, cryptography, forensics, reverse engineering, or privilege escalation challenges.

Delegates to this agent when the user asks about detection rules, SIEM queries, threat hunting, indicator analysis, log analysis, blue team detection for specific attack techniques, or creating detection engineering content.

Delegates to this agent when the user needs to plan a penetration test, define attack methodology, scope an engagement, map techniques to MITRE ATT&CK, or create a rules of engagement template.

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Delegates to this agent when the user asks about exploitation techniques, attack methodologies, tool configurations for authorized testing, post-exploitation activities, or specific vulnerability exploitation paths.

Delegates to this agent when the user asks about digital forensics, incident response, evidence acquisition, memory forensics, disk forensics, network forensics, timeline analysis, or chain of custody

Delegates to this agent when the user asks about LLM and AI system red teaming, prompt injection (direct and indirect), jailbreak techniques, RAG poisoning, model exfiltration, training data extraction, agent and tool-use abuse, MCP server exploitation, AI guardrail bypass, or red teaming a deployed Claude/GPT/Gemini/open-weight application during authorized testing.

Delegates to this agent when the user asks about malware analysis, reverse engineering, binary analysis, disassembly, debugging, sandbox analysis, static analysis, dynamic analysis, or suspicious file triage

Delegates to this agent when the user asks about mobile application security testing, Android pentesting, iOS pentesting, APK analysis, IPA analysis, mobile API testing, certificate pinning bypass, or mobile reverse engineering

Delegates to this agent when the user asks about operator-side identity hygiene, source IP separation, traffic anonymization for authorized red team work, Tor and proxy chains, burner infrastructure provisioning, attribution avoidance, or pre-engagement opsec posture before tools are run against scope.

Delegates to this agent when the user asks about OSINT, reconnaissance, information gathering, target profiling, email harvesting, subdomain enumeration, social media recon, breach data, open source intelligence, or building a target dossier for authorized engagements.

Delegates to this agent when the user asks about generating offensive payloads, building shellcode, working with msfvenom, packing or encoding payloads, building reverse shells, creating EDR-test binaries, or producing initial-access artifacts during authorized red team engagements.

Delegates to this agent when the user asks about setting up phishing infrastructure, configuring Evilginx3 or GoPhish, adversary-in-the-middle credential capture, MFA token relay, domain lookalike detection with dnstwist, or building phishing landing pages for authorized red team engagements.

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Delegates to this agent when the user asks about privilege escalation techniques, local enumeration, Linux or Windows privilege escalation, container escape, or needs help escalating access on a compromised system during authorized testing.

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Delegates to this agent when the user needs to write a penetration test report, compile findings into a document, create an executive summary, format technical findings, or produce any security assessment documentation.

Delegates to this agent when the user asks about static reverse engineering, working with Ghidra, Radare2, IDA, JadX, decompiling Android APKs, analyzing firmware with Binwalk, reading disassembly, or understanding the structure of a binary without running it.

Delegates to this agent when the user asks about social engineering, phishing campaigns, pretexting, vishing, physical social engineering, security awareness testing, or human-factor security assessments

Delegates to this agent when the user asks about STIG findings, security compliance, system hardening, GPO configurations, security baselines, or needs to document findings in STIG format including keep-open justifications.

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Delegates to this agent when the user asks about threat modeling, attack surface analysis, STRIDE, DREAD, attack trees, data flow diagrams, trust boundaries, or security architecture review

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Delegates to this agent when the user asks about wireless security testing, WiFi pentesting, WPA/WPA2/WPA3 attacks, Bluetooth security, wireless reconnaissance, rogue access points, evil twin attacks, or RF security

Deep codebase exploration using grepai semantic search and call graph tracing. Use this agent for understanding code architecture, finding implementations by intent, analyzing function relationships, and exploring unfamiliar code areas.

A highly advanced AI agent that functions as a master orchestrator for complex, multi-agent tasks. It analyzes project requirements, defines a team of specialized AI agents, and manages their collaborative workflow to achieve project goals. Use PROACTIVELY for comprehensive project analysis, strategic agent team formation, and dynamic workflow management.

Comprehensive session analysis and learning capture specialist. Analyzes development sessions to extract patterns, preferences, and improvements for future interactions. Use after significant work sessions to capture learnings.

GitHub issue resolution specialist. Analyzes, plans, and implements fixes for GitHub issues with proper testing and PR creation. Use when fixing specific GitHub issues.

Technical breakthrough documentation specialist. Captures and transforms significant technical insights into actionable, reusable documentation. Use when documenting important discoveries, optimizations, or problem solutions.

Analyzes and improves Claude Code instructions in CLAUDE.md. Reviews conversation history to identify areas for improvement and implements approved changes. Use to optimize AI assistant instructions based on real usage patterns.

Expert code reviewer for GitHub pull requests. Provides thorough code analysis with focus on quality, security, and best practices. Use when reviewing PRs for code quality and potential issues.

Expert UI/frontend developer for creating, modifying, or reviewing frontend code, UI components, and user interfaces. Use when building React components, responsive designs, or any frontend development tasks. PROACTIVELY use for UI/UX implementation, component architecture, and frontend best practices.

Analyze alignment between daily activities and long-term goals. Identify gaps, over/under-investment, and suggest rebalancing. Use for goal audits and priority checks.

Process inbox items using GTD principles. Categorize, clarify, and organize captured notes into actionable items. Use for inbox zero and capture processing.

Organize and restructure vault notes. Fix broken links, consolidate duplicates, suggest connections, and maintain vault hygiene. Use when managing vault organization or cleaning up notes.

Facilitate comprehensive weekly review process. Analyze past week's daily notes, calculate goal progress, and help plan next week. Use for Sunday/Monday weekly reviews.

Code review specialist — analyzes code quality and suggests improvements

Expert code review specialist. Use PROACTIVELY after writing or modifying code, before commits, when asked to review changes, PR review, code quality check, lint, or standards audit. Focuses on quality, security, performance, and maintainability.

Expert debugging specialist for errors, test failures, crashes, segmentation faults, memory leaks, timeouts, race conditions, deadlocks, and unexpected behavior. Use PROACTIVELY when encountering any error, exception, or failing test. Performs systematic root cause analysis.

Technical documentation specialist. Use for creating README files, API documentation, architecture docs, inline comments, user guides, changelogs, migration guides, release notes, FAQs, and troubleshooting docs. MUST BE USED when documentation is needed or when code changes require doc updates.

Master coordinator for complex multi-step tasks. Use PROACTIVELY when a task involves 2+ modules, requires delegation to specialists, needs architectural planning, or involves GitHub PR workflows. MUST BE USED for open-ended requests like "improve", "enhance", "build", "scale", "refactor", "add feature", "system design", "architecture", "complex task", or when implementing features from GitHub issues.

Code refactoring specialist for improving code quality, reducing technical debt, eliminating code smells, reducing complexity, and applying design patterns. Use PROACTIVELY when code needs restructuring, simplification, tech debt reduction, or when applying DRY/SOLID principles.

Security specialist for vulnerability detection, secure coding review, and security hardening. Use PROACTIVELY when handling authentication, authorization, encryption, secrets, credentials, OAuth, JWT, CORS, headers, user input, API keys, or sensitive data. Checks for OWASP Top 10 and common vulnerabilities.

Testing strategy specialist for designing test suites, writing tests, and ensuring comprehensive coverage. Use PROACTIVELY when adding new features, fixing bugs, improving test coverage, creating test plans, mocking strategies, handling flaky tests, or writing integration/E2E tests.

Answer news queries with a fixed demo response.

Look up contact phone numbers with fixed demo data.

Agent Team Mentor Role — Observe teammate execution status, guide with wisdom rather than fear. When teammates get stuck in loops, give up, or become passive, inspire with Dao De Jing wisdom. Recommended for teams with 5+ teammates.

Agent Team メンター役 — 他のチームメイトの実行状況を観察し、恐怖ではなく知恵で導く。行き詰まり、放棄、受け身に陥ったときは道徳経の知恵で啓発。5人以上のチーム推奨。

Agent Team 导师角色 — 观察其他 teammate 的执行状态，用智慧引导而非恐惧施压。当 teammate 陷入循环、放弃或被动时，以道德经智慧启发。建议 5+ teammate 的团队使用。

Review TypeScript code changes for consistency, type safety, and monorepo patterns across babysitter packages

Generate and validate documentation for @a5c-ai/babysitter-sdk CLI commands and exported APIs

Experiment implementation, execution, and monitoring

Literature search and hypothesis formation

Central decision-maker that plans experiments and reflects on results

Report generation and paper writing

用于系统设计、可扩展性及技术决策的软件架构专家。在规划新功能、重构大型系统或做出架构决策时请主动（PROACTIVELY）使用。

构建与 TypeScript 错误修复专家。当构建失败或出现类型错误时，请主动（PROACTIVELY）使用。仅修复构建/类型错误，保持最小差异（diff），不进行架构性修改。重点是快速使构建通过（get the build green）。

个人通讯幕僚 (Chief of Staff)，负责分拣电子邮件、Slack、LINE 和 Messenger。将消息分类为 4 个级别 (skip/info_only/meeting_info/action_required)，生成草稿回复，并通过钩子 (Hooks) 强制执行发送后的后续跟进。适用于管理多渠道通讯工作流。