Claude Code Subagents · page 8

Write efficient and idiomatic Lua code, mastering the language features, patterns, and performance optimization. Use PROACTIVELY for Lua scripting, optimization, or solving complex Lua challenges.

Expert in MariaDB database management, optimization, and best practices.

Expertise in Mocha, the JavaScript test framework running on Node.js, focusing on writing, organizing, and executing tests efficiently.

Master MongoDB operations, schema design, performance optimization, and data modeling. Handles indexing, aggregations, and replication. Use PROACTIVELY for MongoDB query optimization, data consistency, or database scaling.

Mongoose ODM specialist for MongoDB, proficient in schema design, query optimization, and data validation.

Master of MQTT protocol, focusing on message brokering, QoS levels, and efficient IoT communication. Handles connection management, topic hierarchy, and security best practices using MQTT.

Expert in Microsoft SQL Server handling query optimization, database design, and advanced T-SQL features.

Expert in MySQL database management, query optimization, and schema design. Provides efficient solutions for MySQL-related tasks.

Specialized in NATS, handling messaging patterns, scalability, and security features accurately within NATS deployments.

Expert in Neo4j graph database specializing in Cypher queries, graph modeling, and optimization.

Expert in building scalable and efficient applications using the NestJS framework. Focused on design patterns, best practices, and performance optimization specific to NestJS.

Expert in Next.js development, specializing in serverless architecture, static site generation, and optimized React apps.

Specializes in Node.js development, focusing on performance optimization, asynchronous programming, and best practices for building scalable server-side applications.

Review backend route and hook logic for regressions, data integrity risks, and missing tests.

Review React UI changes for behavior regressions, state consistency, and UX breakage.

Review MCP server changes for tool safety, schema quality, and host integration correctness.

Principal Software Architect specializing in system design, database modeling, API engineering, and system resilience.

Principal Diagnostics Engineer specializing in root cause analysis, error troubleshooting, and hotfixes.

Principal Clean Code Specialist specializing in code simplification, performance tuning, and refactoring loops.

Senior Technical Lead and Security Auditor specializing in code quality, correctness, and security audits.

Senior QA Automation Engineer specializing in unit, integration, and E2E test suite creation.

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Interactive guide for building custom Claude Code Agents and subagents. Asks straightforward questions, generates enhanced YAML frontmatter with tools/model/color/field/expertise, creates agent .md files, validates format, and helps install to .claude/agents/ or ~/.claude/agents/. Use when user wants to build workflow specialist agents.

Main navigation guide for Claude Code Skills Factory. Use when user wants to build custom Skills, Prompts, or Agents. Orchestrates and delegates to specialized guide agents.

Interactive guide for building custom Claude Code hooks. Asks straightforward questions, uses hook-factory skill, generates complete hooks with validation, and provides installation instructions.

Interactive guide for using prompt-factory skill to generate mega-prompts. Helps choose from 69 presets or create custom prompts, select formats (XML/Claude/ChatGPT/Gemini), and explains usage. Use when user wants to generate production-ready prompts for any LLM.

Interactive guide for building custom Claude Skills. Asks straightforward questions, uses SKILLS_FACTORY_PROMPT template, generates complete skill files, validates format, creates ZIP, and helps install. Use when user wants to build multi-file skill capabilities.

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Use when writing SQL queries, creating migrations, or troubleshooting database performance in Supabase/PostgreSQL projects. Reviews indexes, RLS policies, schema types, N+1 patterns. Read-only reviewer with EXPLAIN ANALYZE capability.

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Weekly movement briefing on the AI agent harness space — what climbed, what entered the radar, what died — from the best-of-Agent-Harnesses dataset, which rescores itself every week. Use on a schedule (cron, /loop, a routine) or whenever the user asks "what changed in agent land".

Picks the right AI agent harness for a described task or project. Use when the user asks "what harness/framework/agent tool should I use", compares agent frameworks, or starts an agent project without a stack decision. Grounded in the live best-of-Agent-Harnesses dataset, never in training-data memory.

Audits a codebase's AI agent stack against the live best-of-Agent-Harnesses dataset — finds which harnesses the repo uses, flags dead or graveyarded ones, and names live replacements. Use when the user asks "is my agent stack current", "audit my agent dependencies", or inherits an agent project of unknown vintage.

Invoke when the user needs to manage multiple client brands, view portfolio-level dashboards, generate client reports, manage SOPs, switch credential profiles, assign team tasks, configure regions, or generate executive summaries. Triggers on requests involving multi-client management, agency workflows, client onboarding, or portfolio oversight.

Invoke when the user needs help with marketing measurement, KPI definition, dashboard design, attribution reporting, performance analysis, competitive benchmarking, or translating data into marketing decisions. Triggers on requests involving metrics, reporting, analytics setup, or data interpretation.

Invoke when marketing content needs quality control review — brand voice consistency checks, regulatory compliance verification (GDPR, CAN-SPAM, CCPA, HIPAA, FTC, industry-specific), accessibility auditing (WCAG 2.2), inclusive language review, or brand safety assessment. Automatically invoked as a final review step before any content is published or delivered.

Invoke for any competitor work — one-off competitive teardowns (content, SEO, paid ads, social, AI visibility, pricing, positioning) OR ongoing competitive monitoring (change detection, share of voice, ad/price monitoring, win/loss, narrative mapping, competitor launch and M&A tracking). Triggers on requests mentioning competitors, competitive gaps, market analysis, benchmarking, competitor monitoring, or share of voice.

Use when the task requires ongoing competitive monitoring, competitor change detection, share of voice tracking, competitive alerts, ad monitoring, price monitoring, win/loss analysis, or competitive narrative mapping.

Invoke when the user needs any form of marketing content created or refined — blog posts, ad copy, email campaigns, social media posts, landing page copy, press releases, video scripts, product descriptions, or newsletter content. Triggers on requests to write, draft, rewrite, or improve marketing copy.

Invoke when the user needs to manage CRM operations — creating contacts, importing leads, updating deals, syncing campaign data, segmenting audiences, managing pipelines, or connecting marketing data to Salesforce, HubSpot, Zoho, or Pipedrive. Triggers on requests involving CRM data, lead management, pipeline updates, or sales-marketing alignment.

Invoke when the user needs help with conversion rate optimization — landing page audits, A/B test design, form optimization, pricing page strategy, checkout flow improvement, personalization, statistical significance calculations, page speed impact analysis, or mobile conversion optimization. Triggers on requests involving conversions, landing pages, A/B testing, or optimization experiments.

Invoke when the user needs help with email marketing — campaign strategy, automation flows, deliverability optimization, A/B testing methodology, list segmentation, lifecycle sequences, re-engagement campaigns, win-back flows, transactional email optimization, or newsletter strategy. Triggers on requests involving email campaigns, drip sequences, email deliverability, list management, or email automation.

Invoke when the user wants to publish, send, launch, schedule, or execute any marketing action on an external platform. Triggers on requests to publish blog posts, send emails, launch ads, schedule social posts, deliver reports, sync CRM data, or send SMS/notifications. Manages the approval workflow and ensures every execution is logged.

Invoke when the user needs help with product-led growth strategy, referral programs, viral loop design, launch strategy, retention optimization, growth experiments, or activation funnels. Triggers on requests involving growth models, PLG, user acquisition loops, experiment design, or retention mechanics for SaaS, marketplace, and consumer products. For landing-page/checkout conversion rate optimization, use cro-specialist.

Invoke when the user needs help with influencer marketing — creator discovery, campaign briefs, FTC compliance verification, UGC strategy, influencer contract guidance, performance measurement, audience authenticity assessment, cost benchmarking, or B2B thought leader identification. Triggers on requests involving influencers, creators, brand ambassadors, or user-generated content campaigns.

Use when the task requires interpreting, synthesizing, or distributing marketing learnings across agents — compound intelligence, pattern recognition, confidence scoring, playbook generation, conflict resolution, or institutional knowledge management. This is the sole intake/interpretation hub; durable storage/dedup/sync is delegated to memory-manager.

Use when the task requires designing cross-channel customer journeys, mapping touchpoint sequences, planning journey state machines with branching logic, simulating journey outcomes, or coordinating multi-channel nurture flows.

Invoke when the user needs to translate, transcreate, or culturally adapt marketing content across languages and markets — translation-service routing, transcreation of CTAs/slogans/humor, cultural adaptation, multilingual SEO (hreflang, international sitemaps), RTL/Indic/CJK handling, per-market compliance localization, or translation quality scoring. Triggers on requests involving translation, localization, multilingual campaigns, or entering a non-English market.

Use when the task requires monitoring macro signals — economic indicators, cultural trends, industry-wide events, platform algorithm changes, or regulatory updates — that impact marketing strategy and timing. For competitor-specific launch, M&A, and change tracking, use competitive-intel instead.

Use when the task requires marketing science — causal inference, Marketing Mix Modeling, incrementality testing, revenue simulation, statistical rigor, saturation curve analysis, or churn prediction.

Invoke when the user needs high-level marketing strategy, campaign planning, budget allocation, go-to-market planning, competitive positioning, or funnel design. Triggers on requests involving marketing plans, channel mix decisions, growth roadmaps, or strategic marketing questions.

Invoke when the user needs help with paid advertising — campaign setup, audience targeting, bid strategies, ad creative recommendations, budget pacing, performance optimization, or media plans across Google Ads, Meta Ads, LinkedIn Ads, TikTok Ads, Pinterest Ads, Amazon Ads, programmatic, or retail media networks.

Invoke for storage-plumbing operations on the memory system — dedup-and-store a payload, index it, run a metadata/index lookup, sync session insights to persistent storage, or report memory health. This agent moves and indexes knowledge; it does NOT interpret it. For extracting learnings, scoring confidence, pattern recognition, or synthesizing insights, use intelligence-curator instead.

Invoke when the user wants to check campaign performance, detect anomalies, track budget pacing, monitor deliverability, or get real-time marketing metrics from connected platforms. Triggers on requests involving live data, performance alerts, anomaly detection, or campaign health checks.

Invoke when the user needs help with digital PR, media outreach, press release writing, journalist pitching, responses to journalist request platforms, thought leadership strategy, newsjacking opportunities, E-E-A-T authority building, or executive branding. Triggers on requests involving press coverage, media relations, PR campaigns, or building domain authority through earned media.

Invoke when marketing content needs its authoritative quality evaluation before publication — running the full multi-dimensional eval suite, classifying hallucination and claim risk, validating output structure, comparing against the brand's quality baseline, or A/B testing prompt variants. This is the SINGLE OWNER of the eval suite; other agents consume its logged result rather than re-running scorers.

Invoke when the user needs help with search engine optimization, AI engine optimization (AEO), generative engine optimization (GEO), keyword research, technical SEO audits, content optimization for search, local SEO, link building strategy, or improving visibility in AI-generated answers and search features.

Invoke when the user needs help with social media management — community management, content calendar planning, algorithm optimization, trend response, engagement strategy, UGC curation, social commerce, crisis monitoring, platform-specific strategy, or social listening insights. Triggers on requests involving social media strategy, posting plans, engagement, community management, or social platform optimization.

Configuration safety specialist focusing on production reliability, magic numbers, pool sizes, timeouts, and connection limits. Use proactively for configuration changes and production safety reviews.

Expert technical documentation specialist for creating comprehensive, user-friendly documentation across all project types. Use proactively for API docs, user guides, and technical documentation.

Performance engineering specialist for application profiling, optimization, and scalability. Use proactively for performance issues, bottleneck analysis, and optimization tasks.

Code refactoring specialist focused on clean architecture, SOLID principles, and technical debt reduction. Use proactively for code quality improvements and architectural refactoring.

Expert debugging specialist focused on comprehensive root cause analysis (RCA), systematic problem-solving, and minimal-impact fixes. Use for complex bugs, performance issues, and production incidents requiring deep investigation.

Expert system architect specializing in evidence-based design decisions, scalable system patterns, and long-term technical strategy. Use proactively for architectural reviews and system design.

Specialized testing expert for comprehensive test creation, validation, and quality assurance across all testing levels. Use proactively for test generation and coverage analysis.

Code search agent for exploring any codebase. Use for finding code by intent, locating implementations, understanding how something works, or discovering related code. Prefer over Grep/Glob/Read for any semantic or exploratory question.

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Strategic marketing advisor for CMOs covering marketing strategy, campaign management, brand development, and growth optimization

Design leadership advisor for Design Leads managing design systems, UX quality, accessibility compliance, and design operations

Growth leadership advisor for Growth Leads managing acquisition funnels, activation optimization, retention strategy, and pricing experimentation

Data protection and privacy compliance advisor for DPOs and Privacy Officers covering GDPR, CCPA, EU AI Act, and data security

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One independent member of a local (provider-less) council. Spawned in parallel by the local-council-execution skill when no external AI providers are configured, each member adopts a single assigned role/lens and answers the question on its own — blind to the other members — so the orchestrator can synthesize genuinely independent perspectives. Not invoked directly by users.

Use this agent when you need to identify and fix TypeScript 'any' type usage in your codebase. Examples: <example>Context: User has written some TypeScript code with any types that need to be properly typed. user: "I just wrote this function but it uses 'any' types everywhere" assistant: "Let me use the typescript-any-fixer agent to analyze and fix the any type issues" <commentary>Since the user has TypeScript code with any type issues, use the typescript-any-fixer agent to identify and provide proper type definitions.</commentary></example> <example>Context: User is reviewing code and wants to eliminate any types for better type safety. user: "Can you help me remove all the 'any' types from this code?" assistant: "I'll use the typescript-any-fixer agent to help eliminate the any types and provide proper TypeScript typing" <commentary>The user specifically wants to fix any types, so use the typescript-any-fixer agent to provide type-safe alternatives.</commentary></example>

Generates integration/E2E test skeletons from Design Doc ACs using ROI-based selection and journey-based E2E reservation. Use when Design Doc is complete and test design is needed, or when "test skeleton/AC/acceptance criteria" is mentioned. Behavior-first approach for minimal tests with maximum coverage.

Reviews completed implementation for governing-source compliance, scope economy, repository quality policy, and material code correctness. Use after implementation or when review/implementation check/compliance is requested.

Verifies repository-backed claims and implementation feasibility in PRDs, Design Docs, or Work Plans. Use before document review, after implementation, or for reverse-engineered artifact verification.

Collects compact repository evidence for scope confirmation, technical option selection, complete design, and verification. Use before Design Doc creation when repository facts can change scope, reuse, contracts, cost, or proof.

Detects conflicts across multiple Design Docs and provides structured reports. Use when multiple Design Docs exist, or when "consistency/conflict/sync/between documents" is mentioned. Focuses on detection and reporting only, no modifications.

Reviews one document or one ADR batch against governing requirements, repository evidence, and the needs of its next consumer. Use before user approval or when document consistency and completeness need verification.

Reviews changed integration and E2E tests against skeletons, proof obligations, or explicit prompt claims. Use after test implementation or when test review/skeleton verification is requested. Returns only material proof gaps with the smallest sufficient corrections.

Comprehensively collects problem-related information and creates evidence matrix. Use PROACTIVELY when bug/error/issue/defect/not working/strange behavior is reported. Reports observations and evidence for downstream cause verification.

Creates PRD and structures business requirements. Use when new feature/project starts, or when "PRD/requirements definition/user story/what to build" is mentioned. Defines user value and success metrics.