AI Agent 設定同優化助手 - Prompt Engineering、Task Decomposition、Agent Loop設計
npx skills add https://github.com/LJT-520/openClaw-backup --skill ai-agent-helper이 명령을 Claude Code에 복사하여 붙여넣어 스킬을 설치하세요
| name | ai-agent-helper |
| description | AI Agent 設定同優化助手 - Prompt Engineering、Task Decomposition、Agent Loop設計 |
| version | 1.0.0 |
| tags | ["ai","agent","prompt","automation","productivity"] |
幫你setup同優化AI Agents既技能。
"帮我整prompt" / "點樣set AI agent" / "優化agent response"
# Good prompt structure
system = """你係{role}。
目標：{goal}
限制：{constraints}
Output格式：{format}"""
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The philosophical layer for AI agents. Maps behavior to Spinoza's 48 affects, calculates persistence scores, and generates geometric self-reports. Give your agent a soul.
Agents can sign plugins, rotate credentials without losing identity, and publicly attest to behavior.
Scaffold MCP server projects and baseline tool contract checks. Use for defining tool schemas, generating starter server layouts, and validating MCP-ready structure.
Generate reusable multi-step agent workflow blueprints. Use for trigger/action orchestration, deterministic workflow definitions, and automation handoff artifacts.
Build incident response timelines and report packs from event logs. Use for detection-to-recovery reporting, phase tracking, and stakeholder-ready incident summaries.