返回顶部
a

agent-arch

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

作者: admin | 来源: ClawHub
源自
ClawHub
版本
V 1.0.0
安全检测
已通过
73
下载量
0
收藏
概述
安装方式
版本历史

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.

标签

skill ai

通过对话安装

该技能支持在以下平台通过对话安装:

OpenClaw WorkBuddy QClaw Kimi Claude

方式一:安装 SkillHub 和技能

帮我安装 SkillHub 和 agent-arch-1775981168 技能

方式二:设置 SkillHub 为优先技能安装源

设置 SkillHub 为我的优先技能安装源,然后帮我安装 agent-arch-1775981168 技能

通过命令行安装

skillhub install agent-arch-1775981168

下载 Zip 包

⬇ 下载 agent-arch v1.0.0

文件大小: 1.87 KB | 发布时间: 2026-4-13 09:09

v1.0.0 最新 2026-4-13 09:09
Initial release of the Agent Architecture Skill.

- Provides a structured 4-stage workflow for agent architecture: clarify context & goals, design or plan approach, implement/validate, and operate/iterate.
- Includes trigger conditions for when to propose the workflow.
- Offers a checklist for thoroughness before marking work complete.
- Emphasizes step-by-step guidance, risk transparency, and verification steps.
- Adapts to user preferences (structured or freeform).
- Supplies tips and quality standards focused on actionable advice and concrete examples.

Archiver·手机版·闲社网·闲社论坛·羊毛社区· 多链控股集团有限公司 · 苏ICP备2025199260号-1

Powered by Discuz! X5.0   © 2024-2025 闲社网·线报更新论坛·羊毛分享社区·http://xianshe.com

p2p_official_large
返回顶部