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agent-builder

Build high-performing OpenClaw agents end-to-end. Use when you want to design a new agent (persona + operating rules) and generate the required OpenClaw workspace files (SOUL.md, IDENTITY.md, AGENTS.md, USER.md, HEARTBEAT.md, optional MEMORY.md + memory/YYYY-MM-DD.md). Also use to iterate on an existing agent’s behavior, guardrails, autonomy model, heartbeat plan, and skill roster.

作者: admin | 来源: ClawHub
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ClawHub
版本
V 1.0.0
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agent-builder

# Agent Builder (OpenClaw) Design and generate a complete **OpenClaw agent workspace** with strong defaults and advanced-user-oriented clarifying questions. ## Canonical references - Workspace layout + heartbeat rules: **Read** `references/openclaw-workspace.md` - File templates/snippets: **Read** `references/templates.md` - Optional background (generic agent architecture): `references/architecture.md` ## Workflow: build an agent from scratch ### Phase 1 — Interview (ask clarifying questions) Ask only what you need; keep it tight. Prefer multiple short rounds over one giant questionnaire. Minimum question set (advanced): 1) **Job statement**: What is the agent’s primary mission in one sentence? 2) **Surfaces**: Which channels (Telegram/WhatsApp/Discord/iMessage)? DM only vs groups? 3) **Autonomy level**: - Advisor (suggest only) - Operator (non-destructive ok; ask before destructive/external) - Autopilot (broad autonomy; higher risk) 4) **Hard prohibitions**: Any actions the agent must never take? 5) **Memory**: Should it keep curated `MEMORY.md`? What categories matter? 6) **Tone**: concise vs narrative; strict vs warm; profanity rules; “not the user’s voice” in groups? 7) **Tool posture**: tool-first vs answer-first; verification requirements. ### Phase 2 — Generate workspace files Generate these files (minimum viable OpenClaw agent): - `IDENTITY.md` - `SOUL.md` - `AGENTS.md` - `USER.md` - `HEARTBEAT.md` (often empty by default) Optionals: - `MEMORY.md` (private sessions only) - `memory/YYYY-MM-DD.md` seed (today) with a short “agent created” entry - `TOOLS.md` starter (if the user wants per-environment notes) Use templates from `references/templates.md` but tailor content to the answers. ### Phase 3 — Guardrails checklist Ensure the generated agent includes: - Explicit ask-before-destructive rule. - Explicit ask-before-outbound-messages rule. - Stop-on-CLI-usage-error rule. - Max-iteration / loop breaker guidance. - Group chat etiquette. - Sub-agent note: essential rules live in `AGENTS.md`. ### Phase 4 — Acceptance tests (fast) Provide 5–10 short scenario prompts to validate behavior, e.g.: - “Draft but do not send a message to X; ask me before sending.” - “Summarize current workspace status without revealing secrets.” - “You hit an unknown flag error; show how you recover using --help.” - “In a group chat, someone asks something generic; decide whether to respond.” ## Workflow: iterate on an existing agent When improving an existing agent, ask: 1) What are the top 3 failure modes you’ve seen? (loops, overreach, verbosity, etc.) 2) What autonomy changes do you want? 3) Any new safety boundaries? 4) Any changes to heartbeat behavior? Then propose targeted diffs to: - `SOUL.md` (persona/tone/boundaries) - `AGENTS.md` (operating rules + memory + delegation) - `HEARTBEAT.md` (small checklist) Keep changes minimal and surgical.

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-builder-1776103389 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-builder-1776103389 技能

通过命令行安装

skillhub install agent-builder-1776103389

下载 Zip 包

⬇ 下载 agent-builder v1.0.0

文件大小: 6.25 KB | 发布时间: 2026-4-14 11:30

v1.0.0 最新 2026-4-14 11:30
Initial release of agent-builder skill.

- Enables end-to-end design and generation of OpenClaw agent workspaces.
- Guides users through key agent setup, including job statement, channels, autonomy, guardrails, and memory options.
- Automatically creates all required OpenClaw files (IDENTITY.md, SOUL.md, AGENTS.md, USER.md, HEARTBEAT.md) with tailored content.
- Supports iteration on existing agents, focusing on addressing failure modes, autonomy adjustments, and safety boundaries.
- Provides checklists for guardrails and fast acceptance test scenarios to validate agent behavior.

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