clawrium
Manage AI assistant fleets across hosts from one CLI
All Skills in This Repository (13)
Pure Emerald Level Indicatorsitx:pr-status
List open pull requests with review status and CI health.
itx:plan-build
Analyze GitHub issues and generate structured implementation plans with subtasks.
itx:plan-scaffold
Generate multi-phase project execution plans with dependencies and criteria.
itx:issue-new
Create structured GitHub issues with motivation and acceptance criteria.
itx:note
Record timestamped notes into a Markdown file from conversation or text input.
itx:issue-update
Validate GitHub issue status and post comments with prompt logs.
itx:bug-update
Verify GitHub issue labels and post structured comments with context logs.
itx:triage
Automate GitHub issue triage by analyzing content and assigning workflow labels.
itx:review-pr
Fetch GitHub pull request details and generate AI review summaries.
itx:verify
Run make test, make lint, and make test-cov to validate code quality.
itx:bug-new
Create structured GitHub bug reports from conversation and error context.
itx:execute
Automate GitHub issue implementation workflows with worktrees and project board updates.
Frequently Asked Questions
FAQPage SchemaHow to install Clawrium?โผ
Run `npx skills add ric03uec/clawrium --all -g -y` in your terminal to install all skills in this suite globally.
What does Clawrium do?โผ
It manages fleets of AI assistants (OpenClaw, Hermes, ZeroClaw) across machines on your network, handling install, configuration, start/stop, secrets, and upgrades from one CLI over SSH.
Does Clawrium need Docker or Kubernetes?โผ
No. It uses plain SSH plus Ansible to manage processes directly on your Ubuntu or macOS hosts, with no containers required.
Which inference providers work with Clawrium?โผ
Anthropic, OpenAI, OpenRouter, and local Ollama models are supported via API keys. Claude subscription logins are not supported.
Can I track spending across my agents?โผ
Yes. Clawrium provides fleet-wide token usage visibility and guardrails so you can set limits before experiments burn through your API budget.
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