Set up Convex snapshot backups and test recovery by restoring into a temporary environment. Verify table counts and sample records, then define a backup schedule, retention period, and production recovery instructions based on acceptable data loss.
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Set up Convex backups and run a restore DRILL that proves recovery — snapshot, restore into a throwaway preview, assert the data came back — plus a schedule matched to your RPO and a gated recovery runbook.
安装前可以查看交给 AI 代理的指令内容。
Every backup story has two halves and most people only do the first: taking the backup, and proving you can get it back. This capability does both — it sets up regular snapshot exports and then runs a RESTORE DRILL that actually recovers the data into a disposable preview and asserts it's intact. The drill reuses migrate-rehearse's exact primitives (snapshot export → preview deploy → snapshot import) pointed at recovery instead of a forward change, so the safety net is tested, not assumed.
npx convex export --path backup-<date>.zip (add --include-file-storage if the app stores files). This is the backup artifact; treat it as sensitive real data.npx convex export via CI/cron to durable storage the user controls, with a retention window. Convex's own platform backups exist; this adds a user-owned, portable copy.CONVEX_DEPLOY_KEY (same requirement as migrate-rehearse; a paid-tier feature). If unavailable, drill against a fresh personal dev deployment instead and say so.
(b) create a throwaway preview from the CURRENT code: npx convex deploy --preview-create restore-drill-<date>.
(c) restore the snapshot into it: npx convex import backup-<date>.zip --deployment restore-drill-<date> --replace (import targets a deployment by NAME with --deployment; there is no --preview-name on import).
(d) ASSERT recovery: read the restored data back (MCP tables for row counts, data/runOneoffQuery for spot-checks) and confirm the critical tables came back with the expected row counts and a sample of real records — a restore that 'succeeds' but lands 0 rows is a FAILED drill. Compare against the source's counts where available.npx convex import backup.zip --replace --prod, gated by deploy-guard, with the post-snapshot-write-loss caveat stated).还没有评价。欢迎分享你的使用感受。
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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.
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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.
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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.
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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.
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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.
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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.
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