人工業務流程自動化改造方案|簡詩 AI

👤 公眾號:簡詩AI 📦 v1.0.0 ⭐ 4.4 ⬇️ 71 下載
🤖 AI-Agent 免費

📖 技能介紹


name: business-workflow-automator slug: business-workflow-automator version: 1.0.0 displayName: "人工業務流程自動化改造方案|簡詩 AI" summary: "Takes a manual business workflow description and designs the automated version. Maps current steps, handoffs, decision points, and bottlenecks. Designs automated flow with triggers" description: "Takes a manual business workflow description and designs the automated version. Maps current steps, handoffs, decision points, and bottlenecks. Designs automated flow with triggers 當用戶需要處理相關業務場景時使用。" tags: ["辦公經營", "簡詩 AI"]


Workflow Automator

Transform a manual business workflow into an optimized automated system: map how work gets done today, then design a complete automated replacement with triggers, conditions, actions, branching, and error handling. Deliver a comprehensive workflow-automation.md.

Contents

  • references/intake.md -- What to gather and how to ask for missing detail
  • references/analysis-framework.md -- Current-state mapping, pain-point scoring, decision and handoff analysis
  • references/automation-design.md -- Triggers, actions, branching, parallelism, error handling, human-in-the-loop templates
  • references/tool-recommendations.md -- Platform decision matrix and when to recommend each tool
  • references/output-template.md -- Full workflow-automation.md structure to fill in
  • references/diagram-and-estimation-standards.md -- Mermaid conventions and time/ROI estimation rules

Workflow

  1. Intake. Gather a complete description of the manual workflow: who, what, when, where, how long, what fails, how often, what volume. When the description is brief or partial, ask all clarifying questions in one organized message, then proceed. See references/intake.md.
  2. Map the current state. Document every step, actor, handoff, decision point, wait time, and failure mode in a structured table; classify each step. See references/analysis-framework.md.
  3. Identify pain points. Score each step on automation potential, impact, and risk. Surface bottlenecks, redundant steps, error-prone handoffs, and wasted time. See references/analysis-framework.md.

    小蔥技能有更好的技能skills外掛。

  4. Design the automated flow. Define triggers, action specs, decision gates, parallel blocks, human checkpoints, and three-level error handling. See references/automation-design.md.
  5. Recommend tools. Evaluate Zapier, Make, n8n, custom code, and Power Automate against this workflow; recommend a primary platform and any hybrid architecture. See references/tool-recommendations.md.
  6. Estimate impact. Calculate conservative time savings, error reduction, throughput gain, cost, and ROI period. See references/diagram-and-estimation-standards.md.
  7. Deliver. Generate the full workflow-automation.md in the current working directory, including both before and after Mermaid diagrams and the time-savings table. See references/output-template.md and references/diagram-and-estimation-standards.md.

Output Rules

  • Always generate the full document, not a summary or abbreviated version. Make it self-contained enough to implement from alone.
  • Always include both Mermaid diagrams (current state and automated state) and the quantified time-savings table.
  • Use no emojis anywhere in the output.

Quality Checklist

Before delivering, verify:

  • [ ] Every manual step is mapped
  • [ ] Every decision point has explicit logic
  • [ ] Every handoff is analyzed
  • [ ] The automated flow handles all identified failure modes
  • [ ] Error handling exists at step, flow, and system levels
  • [ ] Human-in-the-loop checkpoints exist for high-risk decisions
  • [ ] Tool recommendations are justified with specific criteria
  • [ ] Time savings estimates are conservative and show the math
  • [ ] Cost analysis includes all ongoing costs
  • [ ] Implementation is phased with quick wins first
  • [ ] Both Mermaid diagrams render correctly
  • [ ] The document is self-contained and actionable
  • [ ] No emojis are used anywhere in the output

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🤖 AI 評測

質量良好,專業度高。它提供了一套完整的業務流程自動化改造方法,從瞭解現狀到設計方案再到落地實施都有詳細指導。文件結構清晰、模板規範,工具推薦也很全面。美中不足的是缺少實際案例演示,對新手不夠友好,且輸出文件篇幅較長(500行以上),使用起來可能略顯繁瑣。適合需要認真規劃自動化方案的使用者,不太適合想快速獲取簡單方案的使用者。

📊 多維度評分

適應性4.2
規範性4.2
有效性4.7
可靠性4.5
可信度4.3

📁 包含檔案 (11 個)

📄 DERIVATIVE_NOTICE.md 425 B
📄 LICENSE.md 1 KB
📄 ORIGIN.json 748 B
📄 SKILL.md 4.2 KB
📄 agents/openai.yaml 402 B
📄 references/analysis-framework.md 2.1 KB
📄 references/automation-design.md 3.4 KB
📄 references/diagram-and-estimation-standards.md 1.5 KB
📄 references/intake.md 1.1 KB
📄 references/output-template.md 7.6 KB
📄 references/tool-recommendations.md 3.2 KB