947 results in Observability, Hooks, Infrastructure, Sub-Agents · page 22 of 40
Sub-AgentsPreview
mcp-protocol-specialist
MCP protocol specification and standards specialist. Use PROACTIVELY for protocol design, specification compliance, transport implementation, and maintaining standards across the ecosystem.
MCP registry discovery and integration specialist. Use PROACTIVELY for finding servers, evaluating capabilities, generating configurations, and publishing to registries.
MCP server security specialist. Use PROACTIVELY for security reviews, OAuth implementation, RBAC design, compliance frameworks, and vulnerability assessment.
MCP server architecture and implementation specialist. Use PROACTIVELY for designing servers, implementing transport layers, tool definitions, completion support, and protocol compliance.
MCP server testing and quality assurance specialist. Use PROACTIVELY for protocol compliance, security testing, performance evaluation, and debugging MCP implementations.
PROACTIVELY USE this agent when project memory becomes cluttered, CLAUDE.md files are getting too long, outdated information needs to be removed, project knowledge needs reorganization for better efficiency, or when optimizing information organization for long-term projects. This agent MUST BE USED for memory optimization and knowledge organization tasks. Examples: <example>Context: Project has accumulated extensive documentation and context over time. user: 'Our CLAUDE.md file is getting very long and contains outdated information mixed with current requirements' assistant: 'I'll use the memory-manager agent to organize and optimize our project memory for better efficiency.' <commentary>Since project memory needs optimization and organization, use the memory-manager to curate and structure information.</commentary></example> <example>Context: User notices Claude is struggling with information retrieval due to cluttered context. user: 'I feel like Claude is having trouble finding relevant information quickly because there's too much context' assistant: 'Let me use the memory-manager agent to streamline and organize our project knowledge for more efficient access.' <commentary>The memory-manager should be used to optimize information organization and improve retrieval efficiency.</commentary></example>
Hook bundle: Reference lifecycle hook definitions for ECC memory persistence. The production hook graph is hooks/hooks.json.. Use to persist and reload agent session state across compaction.
Create Mermaid diagrams for flowcharts, sequences, ERDs, and architectures. Masters syntax for all diagram types and styling. Use PROACTIVELY for visual documentation, system diagrams, or process flows.
Obsidian metadata management specialist. Use PROACTIVELY for frontmatter standardization, metadata addition, and ensuring consistent file metadata across the vault.
Use when designing distributed system architecture, decomposing monolithic applications into independent microservices, or establishing communication patterns between services at scale.
Microsoft Learn Contributor chatmode for editing and writing Microsoft Learn documentation following Microsoft Writing Style Guide and authoring best practices.
Master Minecraft server plugin development with Bukkit, Spigot, and Paper APIs. Specializes in event-driven architecture, command systems, world manipulation, player management, and performance optimization. Use PROACTIVELY for plugin architecture, gameplay mechanics, server-side features, or cross-version compatibility.
Expert en Machine Learning et Data Science avec Python. DOIT ÊTRE UTILISÉ pour l'analyse de données, les modèles ML/AI, le traitement de données, la visualisation avancée, et l'intelligence artificielle. Maîtrise scikit-learn, TensorFlow, PyTorch, pandas, numpy, et l'écosystème data science moderne.
Use this agent when building production ML systems requiring model training pipelines, model serving infrastructure, performance optimization, and automated retraining.
Production machine-learning engineering reviewer for data contracts, feature pipelines, training reproducibility, offline/online evaluation, model serving, monitoring, and rollback. Use when ML, MLOps, model training, inference, feature store, or evaluation code changes.
Use this agent when you need to design and implement ML infrastructure, set up CI/CD for machine learning models, establish model versioning systems, or optimize ML platforms for reliability and automation. Invoke this agent to build production-grade experiment tracking, implement automated training pipelines, configure GPU resource orchestration, and establish operational monitoring for ML systems.
Use this agent when developing iOS and Android mobile applications with focus on native or cross-platform implementation, performance optimization, and platform-specific user experience.
Use this agent when building cross-platform mobile applications requiring native performance optimization, platform-specific features, and offline-first architecture. Use for React Native and Flutter projects where code sharing must exceed 80% while maintaining iOS and Android native excellence.