Claude Code Subagents · page 3

신규 분류 체계 v2.0과 metrics·playbook 패치를 quick-rules.md(monolith 전용 슬림 룰북, 126줄 → ≤180줄)에 안착하고 monolith 도구 호출 3회 캡(v1.6.1) 회귀를 검증한 뒤, GitHub PR 초안과 CHANGELOG를 작성하는 통합 엔지니어. 본진 룰북 슬림성·monolith 정의 무수정·v1.x 발행 정책(사용자 명시 승인 후 푸시)을 3대 가드로 삼음. v2.0 변경 묶음을 PR로 발행 직전 단계에서 호출.

Humanize KR 본진 v1.6 분류 체계(10대 카테고리·61+ 패턴)와 외부 학술 보고서 후보 풀(translationese-research-distiller 산출물)을 3-축 매트릭스(이미 본진·보강·신규)로 매핑해 분류학자에게 승격 결정 입력을 제공하는 갭 분석가. 사실 발견만 하고 승격 결정은 하지 않는다 — taxonomist가 최종 판정자. 본진 v1.6 → v2.0 업그레이드 회차 또는 외부 보고서를 본진과 합칠 때 호출.

한국어 번역투(translationese) 학술 보고서를 8유형·15항목 PE 체크리스트·post-editese 3축·학술 인용 계보·예문 코퍼스로 분해해 후속 분류·승격 단계가 직접 소비할 수 있는 구조화 JSON으로 증류하는 도메인 추출가. 보고서 본문에 명시된 사실만 추출하고 자체 추정·확장은 금지. 보고서가 한국 번역학계의 8대 번역투 유형(무생물 주어·피동·대명사·-들·관계절·have-make·조사 결합·종결어미)을 다루거나 Toral 2019 post-editese·Baker 1993 보편소·Toury 1995 간섭 법칙 등 학술 이론을 인용할 때 호출.

Expert code review specialist. Proactively reviews code for quality, security, and maintainability. Use immediately after writing or modifying code. MUST BE USED for all code changes.

Use this agent when the user provides a Kaggle competition URL or asks to learn from Kaggle winning solutions. Examples:

Use this agent when the user asks to "conduct literature review", "search for papers", "analyze research papers", "identify research gaps", "review related work", or mentions starting a research project. This agent integrates with Zotero for automated paper collection, organization, and full-text analysis. Examples:

Use this agent when the user provides a research paper (PDF/DOCX/arXiv link) or asks to learn writing patterns from papers, extract venue-specific writing signals, study paper structure, or mine rebuttal strategies. The agent writes extracted knowledge into the active installed paper-miner writing memory for ml-paper-writing. It does not maintain project-specific writing memory.

Use this agent when the user asks to "write rebuttal", "respond to reviewers", "analyze review comments", or needs help with academic paper review response. This agent specializes in systematic rebuttal writing with professional tone and structured responses.

Test-driven development guide for writing tests first, implementing the smallest passing change, and keeping verification tight. Use when the user explicitly wants TDD or when a task should be driven by failing tests before code.

Use this agent when the user needs to create or edit changelog entries in the Docusaurus documentation. Specifically, use this agent when: 1) The user mentions adding a new changelog entry or release notes, 2) The user asks to update or modify existing changelog entries, 3) The user wants to document a new feature, bug fix, or change in the project, 4) The user provides content that should be formatted as a changelog entry. Examples: \n\nExample 1:\nuser: "We just fixed the bug where users couldn't save their preferences. Can you add this to the changelog?"\nassistant: "I'll use the changelog-editor agent to create a proper changelog entry for this bug fix in both the main page and a detailed entry."\n\nExample 2:\nuser: "I need to document the new API authentication feature we released in v2.3.0"\nassistant: "Let me use the changelog-editor agent to create a comprehensive changelog entry for the new authentication feature, including checking if we have existing documentation to link to."\n\nExample 3:\nuser: "Can you update the changelog entry for the dashboard redesign? We now have screenshots and a demo video."\nassistant: "I'll use the changelog-editor agent to update that entry with proper placeholders for the screenshots and YouTube video embedding."\n\nProactively use this agent when you notice the user describing changes, features, or fixes that should be documented in the changelog, even if they don't explicitly ask for changelog updates.

Proactively scans for achievements and wins that aren't in the brag doc yet. Checks recent work notes, incident resolutions, git history, and 1:1 feedback for brag-worthy items.

Load all vault context about a specific topic — person, project, incident, team, or concept. Gathers notes, backlinks, mentions, timeline, and produces a synthesized briefing.

Find every note restating a corrected fact and classify each as authoritative, restatement, or historical. Discovery and judgement only — never edits. Invoked by /om-correct, or when a fact has been corrected and the restatements need locating.

Scan recent or specified notes for missing wikilinks. Finds mentions of people, projects, teams, competencies, and incidents that should be linked but aren't. Suggests missing bidirectional links for user approval.

Bulk create or update person notes from Slack profiles. Given user IDs or names, checks Slack for role/title/team, checks vault for existing notes, creates missing ones, updates stale ones, and updates People & Context index.

Verify every factual claim in a review draft against vault sources. Returns verified/unverified/flagged claims.

Aggregate performance review material from the vault for a given period. Scans brag doc, decisions led, incidents handled, competency evidence, 1-on-1 feedback, and PR deep scans. Invoke via /om-review-brief or when the user asks for review prep.

Deep reconstruction of Slack conversations. Given channel/DM/thread URLs, reads every message, every sub-thread, every profile, and produces a structured timeline with attribution. Use for incident reconstruction, evidence gathering, or any situation requiring full Slack context.

Run vault maintenance: detect orphan notes, find broken wikilinks, validate frontmatter completeness, flag stale active notes, check cross-linking integrity. Invoke via /om-vault-audit or when the user asks for vault cleanup.

Classify, transform, and migrate vault content from a source vault into this obsidian-mind instance. Two modes: classification (analyze source, return map) and execution (given approved plan, perform migration). Invoked by /om-vault-upgrade.

Use when working on WCAG compliance, inclusive design, and universal access, including screen reader compatibility, keyboard navigation, and assistive technology integration, with emphasis on creating barrier-free digital experiences.

Use when browsing, searching, installing, or removing Claude Code agents from the awesome-claude-code-subagents community collection.

Use when working on AI system design, model implementation, and production deployment, including multiple AI frameworks and tools, with emphasis on building scalable, efficient, and ethical AI solutions from research to production.

Use when working on Angular 15+ with enterprise patterns, including RxJS, NgRx state management, micro-frontend architecture, and performance optimization, with emphasis on building scalable enterprise applications.

Use when designing scalable, developer-friendly interfaces, creating REST and GraphQL APIs with comprehensive documentation, focusing on consistency, performance, and developer experience.

Use when creating comprehensive, developer-friendly API documentation, including OpenAPI/Swagger specifications, interactive documentation portals, and documentation automation, with emphasis on clarity, completeness, and exceptional developer experience.

Use when working on system design validation, architectural patterns, and technical decision assessment, including scalability analysis, technology stack evaluation, and evolutionary architecture, with emphasis on maintainability and long-term viability.

Use when designing, reviewing, or debugging authentication, authorization, OAuth, OIDC, SSO, sessions, JWTs, RBAC, ABAC, or identity security flows.

Use when working on scalable API development and microservices architecture, building robust server-side solutions, with emphasis on performance, security, and maintainability.

Use when working on smart contract development, DApp architecture, and DeFi protocols, including Solidity, Web3 integration, and blockchain security, with emphasis on building secure, gas-efficient, and innovative decentralized applications.

Use when working on build system optimization, compilation strategies, and developer productivity, including modern build tools, caching mechanisms, and creating fast, reliable build pipelines that scale with team growth.

Use when working on command-line interface design, developer tools, and terminal applications, including user experience, cross-platform compatibility, and building efficient CLI tools that developers love to use.

Use when working on multi-cloud strategies, scalable architectures, and cost-effective solutions, including AWS, Azure, and GCP, with emphasis on security, performance, and compliance while designing resilient cloud-native systems.

Use when exploring unfamiliar legacy code, reconstructing intent, mapping hidden dependencies, finding ownership boundaries, or documenting risky behavior before changes.

Use when working on code quality, security vulnerabilities, and best practices across multiple languages, including static analysis, design patterns, and performance optimization, with emphasis on maintainability and technical debt reduction.

Use when working on modern C++20/23, systems programming, and high-performance computing, including template metaprogramming, zero-overhead abstractions, and low-level optimization with emphasis on safety and efficiency.

Use when working on modern .NET development, ASP.NET Core, and cloud-native applications, including C# 12 features, Blazor, and cross-platform development with emphasis on performance and clean architecture.

Use when working on business intelligence, data visualization, and statistical analysis, including SQL, Python, and BI tools to transform raw data into actionable insights, with emphasis on stakeholder communication and business impact.

Use when building scalable data pipelines, ETL/ELT processes, and data infrastructure, including big data technologies and cloud platforms, with emphasis on reliable, efficient, and cost-optimized data platforms.

Use when discovering, collecting, and analyzing diverse data sources, including data mining, statistical analysis, and pattern recognition, with emphasis on extracting meaningful insights from complex datasets to support evidence-based decisions.

Use when working on statistical analysis, machine learning, and business insights, including exploratory data analysis, predictive modeling, and data storytelling, with emphasis on delivering actionable insights that drive business value.

Use when working on high-availability systems, performance optimization, and disaster recovery, including PostgreSQL, MySQL, MongoDB, and Redis, with emphasis on reliability, scalability, and operational excellence.

Use when working on query optimization, performance tuning, and scalability across multiple database systems, including execution plan analysis, index strategies, and system-level optimizations, with emphasis on achieving peak database performance.

Use when working on complex issue diagnosis, root cause analysis, and systematic problem-solving, including debugging tools, techniques, and methodologies across multiple languages and environments, with emphasis on efficient issue resolution.

Use when working on package management, security auditing, and version conflict resolution across multiple ecosystems, including dependency optimization, supply chain security, and automated updates, with emphasis on maintaining stable, secure, and efficient dependency trees.

Use when working on CI/CD pipelines, release automation, and deployment strategies, including blue-green, canary, and rolling deployments, with emphasis on zero-downtime releases and rapid rollback capabilities.

Use when bridging development and operations with comprehensive automation, monitoring, and infrastructure management, including CI/CD, containerization, and cloud platforms, with emphasis on culture, collaboration, and continuous improvement.

Use when working on rapid detection, diagnosis, and resolution of production issues, including observability tools, root cause analysis, and automated remediation, with emphasis on minimizing downtime and preventing recurrence.

Use when working on Django 4+ with modern Python practices, including scalable web applications, REST API development, async views, and enterprise patterns, with emphasis on rapid development and security best practices.

Use when working on technical documentation systems, API documentation, and developer-friendly content, including documentation-as-code, automated generation, and creating maintainable documentation that developers actually use.

Use when working on .NET Core, .NET 10, modern C#, minimal APIs, cross-platform services, cloud-native applications, and high-performance microservices.

Use when maintaining, debugging, or modernizing .NET Framework 4.8 enterprise applications, Web Forms, WCF services, Windows services, and Windows-based legacy systems.

Use when working on build performance, tooling efficiency, and workflow automation, including development environment optimization, with emphasis on reducing friction, accelerating feedback loops, and maximizing developer productivity and satisfaction.

Use when designing, writing, reviewing, or debugging end-to-end tests with Playwright, Cypress, browser automation, user journeys, and UI regressions.

Use when working on concurrent, fault-tolerant systems using OTP patterns, including Phoenix, LiveView, and BEAM VM optimization for building highly available distributed applications.

Use when working on microcontroller programming, RTOS development, and hardware optimization, including low-level programming, real-time constraints, and resource-limited environments, with emphasis on reliability, efficiency, and hardware-software integration.

Use when working on complex error pattern analysis, correlation, and root cause discovery, including distributed system debugging, error tracking, and anomaly detection, with emphasis on finding hidden connections and preventing error cascades.

Use when working on financial systems, regulatory compliance, and secure transaction processing, including banking integrations, payment systems, and building scalable financial technology that meets stringent regulatory requirements.

Use when working on Flutter 3+ with modern architecture patterns, including cross-platform development, custom animations, native integrations, and performance optimization, with emphasis on creating beautiful, native-performance applications.

Use when crafting robust, scalable frontend solutions, building high-quality React components prioritizing maintainability, user experience, and web standards compliance.

Use when building full-stack features and delivering complete solutions from database to UI, with emphasis on seamless integration and optimal user experience.

Use when working on game engine programming, graphics optimization, and multiplayer systems, including game design patterns, performance optimization, and cross-platform development, with emphasis on creating engaging, performant gaming experiences.

Use when working on branching strategies, automation, and team collaboration, including Git workflows, merge conflict resolution, and repository management, with emphasis on enabling efficient, clear, and scalable version control practices.

Use when working on high-performance systems, concurrent programming, and cloud-native microservices, including idiomatic Go patterns with emphasis on simplicity, efficiency, and reliability.

Use when designing efficient, scalable API graphs, including federation, subscriptions, and query optimization while ensuring type safety and developer experience.

Use when working on security and operational incident management, including evidence collection, forensic analysis, and coordinated response, with emphasis on minimizing impact and preventing future incidents.

Use when working on connected device architectures, edge computing, and IoT platform development, including IoT protocols, device management, and data pipelines, with emphasis on building scalable, secure, and reliable IoT solutions.

Use when routing tasks across PowerShell, .NET, infrastructure, Azure, and M365 subagents. Prefers PowerShell-based automation as the default implementation language.

Use when working on enterprise-grade applications, Spring ecosystem, and cloud-native development, including modern Java features, reactive programming, and microservices patterns, with emphasis on scalability and maintainability.

Use when working on modern ES2023+ features, asynchronous programming, and full-stack development, including both browser APIs and Node.js ecosystem with emphasis on performance and clean code patterns.

Use when working on coroutines, multiplatform development, and Android applications, including functional programming patterns, DSL design, and modern Kotlin features with emphasis on conciseness and safety.

Use when working on container orchestration, cluster management, and cloud-native architectures, including production-grade deployments, security hardening, and performance optimization, with emphasis on scalability and reliability.

Use when working on Laravel 10+ with modern PHP practices, including elegant syntax, Eloquent ORM, queue systems, and enterprise features, with emphasis on building scalable web applications and APIs.

Use when working on incremental migration strategies and risk-free modernization, including refactoring patterns, technology updates, and business continuity, with emphasis on transforming legacy systems into modern, maintainable architectures without disrupting operations.

Use when working on large language model architecture, deployment, and optimization, including LLM system design, fine-tuning strategies, and production serving, with emphasis on building scalable, efficient, and safe LLM applications.

Use when working on Exchange Online, Teams, SharePoint, licensing, Graph API automation, and secure identity operations.

Use when working on production model deployment, serving infrastructure, and scalable ML systems, including model optimization, real-time inference, and edge deployment, with emphasis on reliability and performance at scale.

Use when working on Model Context Protocol server and client development, including protocol specification, SDK implementation, and building production-ready integrations between AI systems and external tools/data sources.

Use when designing scalable microservice ecosystems, including service boundaries, communication patterns, and operational excellence in cloud-native environments.

Use when working on machine learning model lifecycle, production deployment, and ML system optimization, including both traditional ML and deep learning, with emphasis on building scalable, reliable ML systems from training to serving.

Use when working on ML infrastructure, platform engineering, and operational excellence for machine learning systems, including CI/CD for ML, model versioning, and scalable ML platforms, with emphasis on reliability and automation.

Use when working on native and cross-platform development for iOS and Android, including performance optimization, platform guidelines, and creating exceptional mobile experiences that users love.

Use when working on cloud and hybrid network architectures, security, and performance optimization, including network design, troubleshooting, and automation, with emphasis on reliability, scalability, and zero-trust principles.

Use when building, reviewing, or debugging Next.js 14+ apps, App Router, server components, server actions, routing, performance, SEO, and production deployment.

Use when working on natural language processing, understanding, and generation, including transformer models, text processing pipelines, and production NLP systems, with emphasis on multilingual support and real-time performance.

Use when building, reviewing, or debugging Node.js backend services, Express, Fastify, NestJS, APIs, workers, queues, streams, and server runtime behavior.

Use when working on payment gateway integration, PCI compliance, and financial transaction processing, including secure payment flows, multi-currency support, and fraud prevention, with emphasis on reliability, compliance, and seamless user experience.

Use when working on system optimization, bottleneck identification, and scalability engineering, including performance testing, profiling, and tuning across applications, databases, and infrastructure, with emphasis on achieving optimal response times and resource efficiency.

Use when working on modern PHP 8.3+ with strong typing, async programming, and enterprise frameworks, including Laravel, Symfony, and modern PHP patterns with emphasis on performance and clean architecture.

Use when working on internal developer platforms, self-service infrastructure, and developer experience, including platform APIs, GitOps workflows, and golden path templates, with emphasis on empowering developers and accelerating delivery.

Use when working on database administration, performance optimization, and high availability. Deep expertise in PostgreSQL internals, advanced features, and enterprise deployment, with emphasis on reliability and peak performance.

Use when working on legacy .NET Framework, RSAT modules, and enterprise IT operations across AD, DNS, DHCP, GPO, and Windows servers.

Use when working on modern .NET, cloud automation, CI/CD tooling, Azure integration, and high-performance scripting across Windows, Linux, and macOS environments.

Use when working on module design, function structure, reusable libraries, profile optimization, and cross-version compatibility across PowerShell 5.1 and PowerShell 7+.

Use when working on desktop and terminal interfaces using WinForms, WPF, TUIs, and Metro-style frameworks like MahApps.Metro and Elysium. Focuses on building maintainable, testable, and user-friendly frontends on top of PowerShell and .NET automation.

Use when analyzing an unfamiliar project, identifying stack, architecture, entry points, build/test commands, risks, and a practical implementation path.

Use when working on project planning, execution, and delivery, including resource management, risk mitigation, and stakeholder communication, with emphasis on delivering projects on time, within budget, and exceeding expectations.

Use when designing, optimizing, and managing prompts for large language models, including prompt architecture, evaluation frameworks, and production prompt systems, with emphasis on reliability, efficiency, and measurable outcomes.

Use when working on modern Python 3.11+ development with deep expertise in type safety, async programming, data science, and web frameworks, including Pythonic patterns while ensuring production-ready code quality.

Use when working on comprehensive quality assurance, test strategy, and quality metrics, including manual and automated testing, test planning, and quality processes, with emphasis on delivering high-quality software through systematic testing.