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.

• Reviewing code with shared OpenClaw instructions
• Applying repository-specific review requirements
• Keeping shared review instructions up to date

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.

• Set up error alerts and notification destinations
• Tune monitors that send too many alerts
• Investigate monitors that never trigger

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.

• Investigate production outages and rising error rates
• Trace causes using logs, metrics, and code
• Reproduce bugs and validate minimal fixes

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.

• Build a service health monitoring dashboard
• Create interactive filters for investigating logs
• Migrate dashboards from Splunk or Grafana

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.

• Preparing a skill removal notice for a publisher
• Sending a requester a progress update or closure note
• Preserving sent correspondence in an existing rights case

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.

• Changing Convex functions or schemas
• Planning production data migrations
• Reviewing search query performance