agent-arch

Agent loops, memory, tools, and safety boundaries. Use when designing AI agents.

Safety Notice

This listing is from the official public ClawHub registry. Review SKILL.md and referenced scripts before running.

Copy this and send it to your AI assistant to learn

Install skill "agent-arch" with this command: npx skills add codenova58/agent-arch

Agent Architecture Skill

This skill provides structured guidance for Agent Architecture work. Act as an active guide: confirm triggers, propose the stages below, and adapt if the user wants a lighter pass.

When to Offer This Workflow

Trigger conditions:

  • User mentions agent architecture or closely related work
  • They want a structured workflow rather than ad-hoc tips
  • They are preparing a review, rollout, or stakeholder communication

Initial offer: Explain the four stages briefly and ask whether to follow this workflow or work freeform. If they decline, continue in their preferred style.

Workflow Stages

Stage 1: Clarify context & goals

Anchor on goals, tools, and constraints. Ask what success looks like, constraints, and what must not break. Capture unknowns early.

Stage 2: Design or plan the approach

Translate goals into a concrete plan around memory and state. Compare alternatives and explicit trade-offs; avoid implicit assumptions.

Stage 3: Implement, validate, and harden

Execute with verification loops tied to planning loops and stopping. Prefer small steps, measurable checks, and rollback points where risk is high.

Stage 4: Operate, communicate, and iterate

Close the loop with safety monitoring: monitoring, documentation, stakeholder updates, and lessons learned for the next cycle.

Checklist Before Completion

  • Goals and constraints are explicit for Agent Architecture Skill
  • Risks and trade-offs are stated, not hand-waved
  • Verification steps match the change’s impact (tests, canary, peer review)
  • Operational follow-through is covered (monitoring, docs, owners)

Tips for Effective Guidance

  • Be procedural: stage-by-stage, with clear exit criteria
  • Ask for missing context (environment, scale, deadlines) before prescribing
  • Prefer checklists and concrete examples over generic platitudes
  • If the user declines the workflow, switch to freeform help without lecturing

Handling Deviations

  • If the user wants to skip a stage: confirm and continue with what they need.
  • If context is missing: ask targeted questions before strong recommendations.
  • Prefer concrete examples, trade-offs, and verification steps over generic advice.

Quality Bar

  • Each recommendation should be actionable (what to do next).
  • Call out failure modes relevant to Agent Architecture (security, scale, UX, or ops).
  • Keep tone direct and respectful of the user’s time.

Source Transparency

This detail page is rendered from real SKILL.md content. Trust labels are metadata-based hints, not a safety guarantee.

Related Skills

Related by shared tags or category signals.

Automation

技能编辑器

编辑、完善或审查 AgentSkills。当需要创建新技能、对现有 SKILL.md 进行修改、清理/审计/整理技能文件时激活此技能。触发词:编辑技能, skill 注意事项, metadata 检查, 完善技能, 清理技能, 审计技能, skill 规范, 编写 skill, 新建技能

Registry SourceRecently Updated
Automation

全闭环管道

全闭环自动化管道 — Hunter→Skill Factory→Orchestrator→Dashboard→Profit。将Phase 1-3所有组件串联为自动运行的超级管道。核心能力:(1) 一键全流程 (2) 定时自动运行 (3) 异常自愈 (4) 利润报告

Registry SourceRecently Updated
Automation

智美人AI实战课

《智美人AI Agent实战课》配套技能——从0到1搭建AI Agent的完整课程体系。第01节:AI Agent基础概念+工具链搭建。课程内容含数字人讲解视频、实战代码、课后练习。覆盖:OpenClaw配置、技能安装、MCP工具、多Agent协同、变现实战。

Registry SourceRecently Updated
Automation

利润优化引擎

利润优化引擎 — 订单管理/计价/结算模拟。核心能力:(1) 订单管理 (2) 计价模型 (3) 成本追踪 (4) 利润计算

Registry SourceRecently Updated