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Maintain

Skill T4LEL/Claude-Arsenal/skills/maintain

25 Claude Code subagents + 14 lifecycle skills + CLAUDE.md templates - build, ship, and monetize products with AI. Clone, run sync, done.

Install
npx -y skills add T4LEL/Claude-Arsenal --skill maintain

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

One thing to look at

  • 1 stars1 stars. Stars are a popularity signal and not a quality one, but at this level it is likely that nobody has read this closely except its author, and you would be relying on your own review.

What its author says it does

Copied from the file, not written here

Use when doing periodic upkeep of a live product - or when the user says maintenance, update dependencies, check errors, housekeeping, is prod healthy. Run it monthly per live product.

SKILL.md

3.3 KB, as published. Nobody here has run it

Maintain

Keep a live product healthy with a repeatable monthly sweep — don't wait for it to break.

Copy this checklist and check off items as you complete them:

Maintain Progress:
- [ ] Step 1: Health snapshot
- [ ] Step 2: Dependencies
- [ ] Step 3: Verify after updates (mandatory)
- [ ] Step 4: Data safety
- [ ] Step 5: Sweep
- [ ] Report

Step 1 — Health snapshot

Pull platform logs for fresh errors (vercel logs, supabase MCP get_logs). Note the current error rate and compare hosting/API costs (Vercel, Supabase, any metered LLM usage) against last period — real numbers or stop and say the dashboard wasn't checked. Any figure not pulled from a live source this run is an unverified assumption; label it as such in the report.

Step 2 — Dependencies

Run security advisories first — npm audit / pip-audit. Critical vulnerabilities get fixed now, no exceptions. Apply patch and minor updates in the same pass. List major updates as candidates only — never auto-apply one. Exception to the ordering: when a critical vulnerability's only fix is a major bump, that upgrade task starts now instead of waiting as a candidate. Delegate to the refactor-engineer agent with the current version, target version, and changelog/migration notes (fetched via the context7 MCP tools) as its own task; a major upgrade needs its own plan and test pass, not a slot in a routine sweep.

Step 3 — Verify after updates (mandatory)

Run tests, typecheck, and a production build after any dependency change. Paste the real output — not "should be fine." A failure rolls the update back immediately; debug on a branch rather than leaving a broken bump sitting on top of a working product.

Step 4 — Data safety

Confirm backups exist, then restore-test one thing on a branch or staging — never against production. Supabase: use PITR or a branch restore. An untested backup is a hope, not a backup; if the restore-test fails, or hasn't been run this cycle, say so plainly instead of assuming it would work.

Step 5 — Sweep

Triage the error log from Step 1 into fix-now vs backlog. Flag any cost anomaly (spike vs last period, a metered API creeping toward a plan limit) even without a diagnosis yet — flagging it is the job for this pass, not root-causing it on the spot.

Nothing in this skill commits, pushes, deploys, or publishes on its own — patch/minor updates and restore-tests stay local or on a branch/staging; ask before anything lands on production or main. Secrets stay in env vars and are never printed, logged, or pasted into the report.

Report

  • Prod health: error rate and fresh errors from Step 1, with the log source checked.
  • Updates applied: patch/minor updates applied, with verification output from Step 3.
  • Deferred majors: major versions available, queued for the refactor-engineer agent, not applied.
  • Backup status: backup confirmed plus restore-test result — pass, fail, or not run.
  • Cost trend: current period vs last period, any anomaly flagged.
  • Backlog additions: errors triaged to backlog rather than fixed this cycle.

Keep looking

Skills are one crate of 328,083. Ordering is by how many stacks a row turns up in, so the top of any crate is what has actually been picked rather than what has the most stars.