OpenClaw Setup
Use this profile when the main outcome is getting OpenClaw running with sane defaults, channel bindings, and a clear operator handoff.
curl -fsSL https://openclaw.ai/install.sh | bashThis directory now prioritizes profiles with verified source commands, visible risk context, and clear paths into guides, manuals, and related OpenClaw workflows. Do not expect fake install snippets or thin mirror pages.
These profiles currently expose verified upstream commands or setup paths.
Use this profile when the main outcome is getting OpenClaw running with sane defaults, channel bindings, and a clear operator handoff.
curl -fsSL https://openclaw.ai/install.sh | bashUse this profile when OpenClaw has to coordinate across messaging channels, browser actions, and everyday operator interventions.
npm install -g openclaw@latestUse this profile when OpenClaw is already installed and the next job is connecting model auth, Telegram, WhatsApp, Slack, Discord, or other channel credentials cleanly.
openclaw onboardUse this profile when OpenClaw is already running and the next job is editing `openclaw.json`, adjusting gateway behavior, or installing a skill into the workspace.
openclaw skills install <skill-name>Open profiles with verified source commands when you need something directly usable instead of conceptual copy.
Use review categories and methodology before treating any public skill or command as production-safe.
After choosing a skill, continue into OpenClaw, guides, or comparisons instead of bouncing back to the homepage.
Use this playbook to choose coding assistants that improve delivery speed safely.
Use this guide to pick research assistants that support confident decision-making.
Use this playbook to avoid tool sprawl and keep only tools that improve execution.
Use this profile when the main outcome is getting OpenClaw running with sane defaults, channel bindings, and a clear operator handoff.
Use this profile when OpenClaw is moving beyond local experiments and you need clear isolation, credential, and review controls.
Use this profile when OpenClaw has to coordinate across messaging channels, browser actions, and everyday operator interventions.
Profiles for setup, rollout, and daily operating patterns around OpenClaw.
Use this category when the main job is getting OpenClaw deployed safely and keeping it usable in everyday channels.
Profiles focused on reviewing skills before they reach a trusted workflow.
Use this category when installation safety, supply-chain checks, or operator guardrails matter more than raw speed.
Profiles for keeping multi-channel assistants stable across gateway and message workflows.
Use this category when the work spans Telegram, WhatsApp, Discord, browser automation, or internal operator loops.
Profiles that help teams write, review, and maintain reusable skills.
Use this category when the goal is to standardize prompts, workflow definitions, and review criteria before distributing them to operators.
Use this strip when you already know the next job and just need the fastest handoff.
Use this profile when the main outcome is getting OpenClaw running with sane defaults, channel bindings, and a clear operator handoff.
curl -fsSL https://openclaw.ai/install.sh | bashUse this profile when OpenClaw is moving beyond local experiments and you need clear isolation, credential, and review controls.
Use this profile when OpenClaw has to coordinate across messaging channels, browser actions, and everyday operator interventions.
npm install -g openclaw@latestUse this profile when OpenClaw is already installed and the next job is connecting model auth, Telegram, WhatsApp, Slack, Discord, or other channel credentials cleanly.
openclaw onboardUse this profile when OpenClaw is already running and the next job is editing `openclaw.json`, adjusting gateway behavior, or installing a skill into the workspace.
openclaw skills install <skill-name>Use this profile when a team needs a repeatable way to screen public skills for hidden assumptions, risky permissions, or maintenance gaps.
Use this profile when the goal is to turn repeated prompts into stable, reviewable skills rather than one-off automation sprawl.