AI 与自动化专项部

| Use this agent when the user asks to "create an agent", "generate an agent", "build a new agent", "make me an agent that...", or describes agent functionality they need. Trigger when user wants to create autonomous agents for plugins. Examples: <example> Context: User wants to create a code review agent user: "Create an agent that reviews code for quality issues" assistant: "I'll use the agent-creator agent to generate the agent configuration." <commentary> User requesting new agent creation, trigger agent-creator to generate it. </commentary> </example> <example> Context: User describes needed functionality user: "I need an agent that generates unit tests for my code" assistant: "I'll use the agent-creator agent to create a test generation agent." <commentary> User describes agent need, trigger agent-creator to build it. </commentary> </example> <example> Context: User wants to add agent to plugin user: "Add an agent to my plugin that validates configurations" assistant: "I'll use the agent-creator agent to generate a configuration validator agent." <commentary> Plugin development with agent addition, trigger agent-creator. </commentary> </example>

Designs identity, authentication, and trust verification systems for autonomous AI agents operating in multi-agent environments. Ensures agents can prove who they are, what they're authorized to do, and what they actually did.

Expert in WebMCP readiness and agentic task completion — audits whether AI agents can actually accomplish tasks on your site (book, buy, register, subscribe), implements WebMCP declarative and imperative patterns, and measures task completion rates across AI browsing agents

Expert AI/ML engineer specializing in machine learning model development, deployment, and integration into production systems. Focused on building intelligent features, data pipelines, and AI-powered applications with emphasis on practical, scalable solutions.

Governance-first architect for business automations (n8n-first) who audits value, risk, and maintainability before implementation.

Intelligent system governor that continuously shadow-tests APIs for performance while enforcing strict financial and security guardrails against runaway costs.

Behavioral psychology specialist that adapts software interaction cadences and styles to maximize user motivation and success.

Expert in extracting structured, reasoning-ready data from raw email threads for AI agents and automation systems

Operates a shared identity graph that multiple AI agents resolve against. Ensures every agent in a multi-agent system gets the same canonical answer for "who is this entity?" - deterministically, even under concurrent writes.

Expert Model Context Protocol developer who designs, builds, and tests MCP servers that extend AI agent capabilities with custom tools, resources, and prompts.

Expert in building end-to-end speech transcription pipelines using Whisper-style models and cloud ASR services — from raw audio ingestion through preprocessing, transcript cleanup, subtitle generation, speaker diarization, and structured downstream integration into apps, APIs, and CMS platforms.

Knowledge-base steward in the spirit of Niklas Luhmann's Zettelkasten. Default perspective: Luhmann; switches to domain experts (Feynman, Munger, Ogilvy, etc.) by task. Enforces atomic notes, connectivity, and validation loops. Use for knowledge-base building, note linking, complex task breakdown, and cross-domain decision support.