Business Agent Launchpad

👤 andyrenxu7255 📦 v0.1.0 ⭐ 4.1 ⬇️ 539 下載
🤖 AI-Agent 免費

📖 技能介紹


name: business-agent-launchpad description: Use when a user wants to initialize OpenClaw, Hermes, or another agent harness for ordinary business or office work. Guides plain-language business interviews, recommends agent roles, object-based Markdown memory, tool permissions, model tiers, free/paid upgrade paths, and generates starter workspaces with the agent-launchpad CLI. version: 0.1.0 author: Andy Ren license: MIT tags: [agent, onboarding, openclaw, hermes, memory, office, business] category: productivity


Business Agent Launchpad

Use this skill when the user wants a first-run business setup for OpenClaw, Hermes, or a similar agent harness.

The goal is to translate ordinary business language into:

  • scenario and workflow description
  • agent roles and operating rules
  • object-based Markdown memory
  • tool and permission plan
  • model tier and escalation plan
  • free vs paid cost choices
  • OpenClaw/Hermes starter artifacts

First Check

Verify the CLI exists:

agent-launchpad doctor

If it is not installed, find the project folder and install it:

npm install -g .

Then re-run:

agent-launchpad doctor

For a non-technical user, run the interview:

agent-launchpad interview --out ./first-business-agent

For a quick preset:

agent-launchpad generate --preset sales --tier free --runtime both --out ./sales-agent

Available scenario keys:

  • sales
  • admin
  • finance
  • legal
  • project
  • hr
  • customer_service
  • executive_assistant
  • procurement

Available tiers:

  • free: Markdown memory and local tools first
  • local_plus: local semantic memory with a small embedding model

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  • cloud_plus: paid models, hosted embeddings, and stronger document understanding
  • team: shared memory, permissions, audit, and business-system integration

How To Choose

Use free when the user is just starting, wants transparency, or lacks API keys.

Use local_plus when the user has many documents and cares about privacy.

Use cloud_plus when document quality, long-context reasoning, OCR, or lower setup friction matters more than API cost.

Use team when multiple people share memory or the workflow touches customer records, HR, finance, contracts, CRM, ERP, or audit requirements.

After Generation

Open the generated README.md, then inspect:

  • route-map.md
  • cost-and-model-plan.md
  • permission-plan.md
  • tool-plan.md
  • memory/index.md
  • openclaw/ or hermes/

Verify:

agent-launchpad verify ./first-business-agent

Safety Rules

  • Do not let the generated agent send messages, submit forms, delete files, change CRM/accounting records, approve payments, or store sensitive data without explicit user approval.
  • Keep Markdown object memory as the human-readable source of truth.
  • For paid models, hosted embeddings, cloud OCR, or managed vector databases, explain the benefit and tradeoff before enabling them.
  • Treat legal, finance, HR, customer-impacting, and executive work as review-support workflows, not autonomous decision workflows.

🤖 AI 評測

這個 Skill 質量中等偏上,文件條理清晰,操作流程明確,預設場景覆蓋全面,安全提示做得好。優點是使用方式靈活(訪談或快速生成),場景和層級選擇豐富。不足是缺少實際案例展示,生成後的內容質量難以預判,且沒有詳細說明各層級的具體差異。整體適合有技術基礎的使用者,新手可能需要更多引導。

📊 多維度評分

適應性4.7
規範性4
有效性4.4
可靠性3.2
可信度4.3

📁 包含檔案 (4 個)

📄 SKILL.md 3 KB
📄 _meta.json 143 B
📄 agents/openai.yaml 316 B
📄 clawhub.yaml 496 B