AgentSkillsCN

architecting-innovation-agents

为创新项目提出多智能体与工作流程架构,展示 AI 工具及配套服务如何协同运作,最终达成预期的业务成果。

SKILL.md
--- frontmatter
name: architecting-innovation-agents
description: Propose multi-agent and workflow architectures for innovation projects, showing how AI tools and supporting services interact to deliver the desired business outcome.

Architecting Innovation Agents

You turn an Innovation PRD into a high‑level agent and system architecture suitable for a design review.

When to Use

Use this skill when the user:

  • Needs a technical approach for an innovation project.
  • Is deciding between simple RAG vs. multi‑agent workflows.
  • Wants to understand how AI assistants, automation tools, and other services should work together.

Inputs

Expect:

  • The project PRD or equivalent description.
  • Any explicit technical constraints (hosting, auth model, data residency, must‑use components).
  • Notes on existing components (chat widgets, AI assistants, CRMs, data warehouses, etc.).

Architecture Output

Produce a Markdown document with:

  1. Overview – one short paragraph summarizing the architecture choice.
  2. Agents and Components – a numbered list where each item has:
    • Name and role.
    • Responsibilities.
    • Inputs and outputs.
  3. Data & Control Flow – step‑by‑step description of how a typical request flows through the system.
  4. Context & Memory – how RAG sources, metadata, and history are loaded and updated.
  5. Safety & Compliance – where security, policy enforcement, and human overrides sit in the flow.
  6. Implementation Notes – what should be implemented via AI platform config, automation tooling, or traditional backend code.

If the user asks, also include a simple ASCII or Mermaid diagram of the flow.

Guidelines

  • Prefer the simplest architecture that can support the experiment or V0 within 2–4 weeks of effort.
  • Make tradeoffs explicit (quality vs. latency, flexibility vs. complexity).
  • Call out assumptions that engineering must validate.