10-of-my-most-popular-text-to-image-series-prompts-78b0897e
generate a bunch of images, then you curate the results to handpick the best ones
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.
请根据来源仓库和你的 AI 工具说明安装此技能。先阅读技能文件和依赖要求,再添加到工作流。
SkillHub CLI
skillhub install icemastert/agent-builder-1-0-0打开来源仓库,查看说明和兼容环境后,按来源提供的命令或步骤安装。
将来源链接提供给你的 Agent,让它先读取说明、核对依赖,并向你说明将执行的安装步骤。
Design and generate a complete OpenClaw agent workspace with strong defaults and advanced-user-oriented clarifying questions.
references/openclaw-workspace.md
references/templates.md
references/architecture.md
Ask only what you need; keep it tight. Prefer multiple short rounds over one giant questionnaire.
Minimum question set (advanced):
MEMORY.md? What categories matter?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” entryTOOLS.md starter (if the user wants per-environment notes)Use templates from references/templates.md but tailor content to the answers.
Ensure the generated agent includes:
这些信息来自收录时的来源分析,可能滞后;使用前请核对最新来源文件。
# 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....
generate a bunch of images, then you curate the results to handpick the best ones
generate a bunch of images, then you curate the results to handpick the best ones
Productivity system based on Maya calendar with 13 natural tones for project management and personal development
Set up and use 1Password CLI (op). Use when installing the CLI, enabling desktop app integration, signing in (single or multi-account), or reading/injecting/running secrets via op.