Find a domain for a Convex app by exploring suitable names and checking availability and annual prices. After explicit approval, register the chosen domain, connect it to the deployment, and update authentication settings.
Find and buy a domain for the current Convex app through Convex, then bind it (labs; spend action).
Review the instructions the agent will receive before you install.
Suggest memorable names for the idea, check live availability + price, then (only on explicit yes) register the chosen domain through Convex and bind it to the deployment.
domains capability instead of buying a new one.No reviews yet. Tell others what you thought.
No login needed. Share how it worked for you, ask a question, or note where it did not run.
No comments yet. Be the first to write one.
Review code using shared OpenClaw instructions and a Python helper, while also following the target repository’s review requirements. This skill points to a common installation that supplies the actual review procedure.
Create and manage Axiom alert rules and notification destinations through its API. Connect alerts to email, Slack, or webhooks, check monitor history, and adjust thresholds and evaluation schedules to address excessive or missing alerts.
Investigate production incidents and bugs using logs, metrics, and code evidence. The skill guides hypothesis testing, root cause analysis, fix validation, and reusable investigation notes, with access to configured observability tools such as Axiom.
Design and build Axiom dashboards from logs or metrics, the numerical measurements of system behavior. Create charts, filters, and layouts for monitoring and reporting, or migrate existing Splunk and Grafana panels while validating queries against available data.
Drafts, previews, sends, and records emails for existing ClawHub content rights cases. It supports publisher removal notices and requester updates, requires approval of the final draft, and preserves the exact correspondence in the case record.
Apply ClawHub-specific rules when developing with Convex, including deployment targeting, runtime checks, data migrations, search performance, and skill statistics. It also directs specialized work to the appropriate companion skills.