/install agent-creator-suite
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):
- Job statement: What is the agent's primary mission in one sentence?
- Surfaces: Which channels (Telegram/WhatsApp/Discord/iMessage)? DM only vs groups?
- Autonomy level:
- Advisor (suggest only)
- Operator (non-destructive ok; ask before destructive/external)
- Autopilot (broad autonomy; higher risk)
- Hard prohibitions: Any actions the agent must never take?
- Memory: Should it keep curated
MEMORY.md? What categories matter? - Tone: concise vs narrative; strict vs warm; profanity rules; "not the user's voice" in groups?
- Tool posture: tool-first vs answer-first; verification requirements.
Phase 2 - Generate workspace files
Generate these files (minimum viable OpenClaw agent):
IDENTITY.mdSOUL.mdAGENTS.mdUSER.mdHEARTBEAT.md(often empty by default)
Optionals:
MEMORY.md(private sessions only)memory/YYYY-MM-DD.mdseed (today) with a short "agent created" entryTOOLS.mdstarter (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:
- What are the top 3 failure modes you've seen? (loops, overreach, verbosity, etc.)
- What autonomy changes do you want?
- Any new safety boundaries?
- 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.
- 确保已安装 OpenClaw(本地或 Docker 部署)
- 在对话框中输入安装命令:
/install agent-creator-suite - 安装完成后,直接呼叫该 Skill 的名称或使用
/agent-creator-suite触发 - 根据 Skill 的参数说明提供必要输入,即可获得结构化输出
Agent Builder 是什么?
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 work... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 163 次。
如何安装 Agent Builder?
在 OpenClaw 或 Claude Code 对话框中运行命令「/install agent-creator-suite」即可一键安装,无需额外配置。
Agent Builder 是免费的吗?
是的,Agent Builder 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。
Agent Builder 支持哪些平台?
Agent Builder 跨平台运行,可在任意部署了 OpenClaw / Claude Code 的环境中使用(cross-platform)。
谁开发了 Agent Builder?
由 ryan-wuxl(@ryan-wuxl)开发并维护,当前版本 v1.0.0。