SEagenthub

Six AI agent personas, each with a defined role, a set of skill files, and strict handoff contracts. All six are orchestrated via a **deterministic LangGraph pipeline** inside the `SEagenthub` MCP server — no LLM routing, no API key, no hook scripts. | Agent | Role | Activated By | |---|---|---| | `@techLead` | Orchestrator — decomposes goals, delegates, audits results | `@techLead`, `INIT_PROJECT`, `DELEGATE`, `AUDIT_RESULT`, `CHANGE_REQUEST` | | `@architect` | Infrastructure designer — CDK, IAM, observability, cost | `DELEGATE [architect]` | | `@codeCrafter` | Implementation — business logic, UI, resilience patterns | `DELEGATE [codeCrafter]`, `Cleared for implementation` | | `@codeReviewer` | Quality gatekeeper — complexity, naming, CVEs, docs | `Handing off to @codeReviewer` (automatic) | | `@qualityGuard` | Testing & security — unit / integration / load / pen testing | `Handing off to @qualityGuard` (automatic) | | `@devOps` | Deployment — CI/CD, environment promotion, verification | automatic after `AUDIT_RESULT` | The **signal phrases** defined in each skill file's OUTPUT CONTRACT are the transition conditions LangGraph evaluates at every node boundary. When used as prompt-driven agents in an IDE (Copilot, Claude Code), the same phrases drive the conversational handoff — the contract is identical in both layers.

该来源不提供完整文件导出（国内平台多为平台内托管），仅存元数据与原链

接入信息

传输形态: http
鉴权方式: 鉴权未知
端点: https://seagenthub--oneofakindtech0.run.tools

鉴权方式未标注，请核对官方文档后再接入——不要直接使用以下片段

{
  "mcpServers": {
    "SEagenthub": {
      "url": "https://seagenthub--oneofakindtech0.run.tools"
    }
  }
}

能力清单

工具	说明
techLead	Run the 6-agent software pipeline on a local project directory.
resume_refactor_decision	Resume a paused pipeline with a Yes or No decision on a refactoring proposal. When execute_software_pipeline returns PIPELINE_PAUSED, call this tool with the thread_id from that message and your decision.
resume_deployment_decision	Resume a paused pipeline at the deployment approval gate. When execute_software_pipeline reaches the tech_lead_gate (after all quality checks pass), the pipeline pauses and asks for your explicit authorization before @devOps touches any infrastructure.

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