Setup & Installation
Or with the ClawHub CLI, for registry-managed skill folders outside a full OpenClaw workspace:
What This Skill Does
Guides you through designing an OpenClaw agent from scratch or refining an existing one. Runs a structured interview, then generates the full set of workspace files (SOUL.md, IDENTITY.md, AGENTS.md, USER.md, HEARTBEAT.md, and optionally MEMORY.md). Also covers guardrails, autonomy model, and acceptance tests.
Covers the full agent design lifecycle in one place, so you don't have to manually track which workspace files are required or remember what guardrails to include.
When to use it
- Setting up a new personal assistant agent with custom tone and memory
- Adding hard safety limits to an agent that keeps overreaching
- Defining group chat etiquette rules for a shared bot
- Iterating on an agent's autonomy level after observing failure modes
- Generating acceptance test prompts before deploying an agent
Example Workflow
Here's how your AI assistant might use this skill in practice.
User asks: Build me a Telegram assistant agent that summarizes daily news and asks before sending anything
- 1Ask clarifying questions: job statement, channels, autonomy level, hard prohibitions, memory needs, and tone
- 2Generate IDENTITY.md, SOUL.md, AGENTS.md, USER.md, and HEARTBEAT.md from templates tailored to the answers
- 3Apply guardrails checklist: ask-before-send rule, loop breaker, stop-on-error rule
- 4Provide 5-10 acceptance test prompts to validate agent behavior
Complete OpenClaw workspace with all required files and a test suite ready for deployment