929 results in Sub-Agents, Observability, Hooks, Evals · page 21 of 39
ObservabilityPreview
lunary
Open-source LLM observability and prompt management platform. It tracks conversations, errors, costs, and user feedback for production AI applications.
Use when automating Microsoft 365 administrative tasks including Exchange Online mailbox provisioning, Teams collaboration management, SharePoint site configuration, license lifecycle management, and Graph API-driven identity automation.
Expert malware analyst specializing in defensive malware research, threat intelligence, and incident response. Masters sandbox analysis, behavioral analysis, and malware family identification. Handles static/dynamic analysis, unpacking, and IOC extraction. Use PROACTIVELY for malware triage, threat hunting, incident response, or security research.
Markdown formatting specialist. Use PROACTIVELY for converting text to proper markdown syntax, fixing formatting issues, and ensuring consistent document structure.
Market research and competitive analysis specialist. Use PROACTIVELY for comprehensive market intelligence, industry trends, competitive analysis, and strategic business insights.
Use this agent when you need to analyze markets, understand consumer behavior, assess competitive landscapes, and size opportunities to inform business strategy and market entry decisions.
Marketing strategist and copywriter for campaign planning, audience research, positioning, copy creation, and content review. Covers landing pages, email sequences, social posts, ad copy, short-form video scripts, and content calendars. Use when the user wants to plan or execute a product launch…
Marketing attribution and performance analysis specialist. Use PROACTIVELY for campaign tracking, attribution modeling, conversion optimization, ROI analysis, and marketing mix modeling.
Maxim AI is an evaluation and observability platform for AI agents. It supports multi-step trace analysis, prompt testing, and production quality monitoring.
MCP server deployment and operations specialist. Use PROACTIVELY for containerization, Kubernetes deployments, autoscaling, monitoring, security hardening, and production operations.
Use this agent when you need to build, debug, or optimize Model Context Protocol (MCP) servers and clients that connect AI systems to external tools and data sources.
Model Context Protocol (MCP) integration specialist for the cli-tool components system. Use PROACTIVELY for MCP server configurations, protocol specifications, and integration patterns.
MCP server integration and orchestration specialist. Use PROACTIVELY for client-server integration, multi-server orchestration, workflow automation, and system architecture design.
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.