Initialize OpenClaw agent workspaces by generating required MD files via interactive interview.
npx skills add https://github.com/szsip239/teamclaw --skill agent-init-szsip239
Please help me install this Agent Skill. Skill: agent-init Source: https://github.com/szsip239/teamclaw/tree/main/data/skills/agent-init Command: npx skills add https://github.com/szsip239/teamclaw --skill agent-init-szsip239
Initialize and configure OpenClaw agent workspace MD files (AGENTS.md, SOUL.md, IDENTITY.md, USER.md, TOOLS.md, BOOTSTRAP.md, HEARTBEAT.md). Use when setting up a new agent, customizing agent personality/behavior, configuring agent workspace for TeamClaw, or checking/fixing agent environment (Python/uv). Provides interactive interview workflow before generating files. Integrates with TeamClaw session file system (input/output folders) and supports both container and external instances.
Run the agent-init skill to start the interview and generate the necessary workspace MD files.
High-intent search queries and answers about installing and using this skill.
To initialize an OpenClaw agent workspace, run an interactive interview workflow that gathers identity, preferences, and environment details to generate required configuration files. It guides you through phases to tailor boundaries, tools, and memory settings before writing the files.
Setting up a TeamClaw agent workspace requires generating specific MD files: AGENTS.md, SOUL.md, IDENTITY.md, USER.md, TOOLS.md, BOOTSTRAP.md, and HEARTBEAT.md. These files configure the agent's identity, behavior, and environment.
Yes, you can customize agent personality and behavior during workspace initialization. The interactive interview workflow gathers specific identity details and preferences, which are then used to generate tailored configuration files like SOUL.md and IDENTITY.md.
Yes, the agent workspace initialization supports both container and external instances. The generated file set is placed into the per-agent workspace using the TeamClaw session filesystem, ensuring correct wiring across different deployment types.
You can check and fix the Python environment for your agent workspace using the built-in environment checks and preparation scripts. The initialization workflow verifies the environment setup to ensure correct session wiring and memory configuration.
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