automation
Resume Agent Debugging with dbs-restore Snapshots
dbs-restore gives agents persistent diagnosis state across sessions by pulling the latest local snapshot saved with dbs-save.
Where this fits
You are debugging a backend issue. Your agent has been investigating, and before stopping you run dbs-save to capture where things stand. The next morning you open the terminal and say "continue from last time". Without a restore step, the agent would start from zero, re-read logs, and re-derive what it already knew. dbs-restore pulls the most recent diagnosis snapshot from the local filesystem and gives the agent its previous status, findings, and next action. This skill is for long, interrupted, agent-assisted troubleshooting sessions that need to survive a context reset.
Why agents benefit
- Recovers full diagnostic state from a snapshot: status, title, source skill, and next skill, so the agent can resume without re-walking the earlier session.
- Scoped per project through the slug concept; state from one repo does not leak into another.
- Selects the newest archive by filename timestamp, not
mtime, which avoids false results when sync tools like iCloud rewrite file times. - Triggerable by slash command or natural language, including
/dbs-restore,continue from last time, andwhere did we leave off. - Restore-only by design: it does not jump into other skills or start new diagnostics, keeping the user in control of the next step.
Practical scenarios
Resuming an interrupted incident investigation
The agent runs dbs-save after identifying a likely root cause. After lunch, the operator types /dbs-restore. The agent loads the saved state and asks whether to continue with the proposed fix, without re-requesting background context.
Handing off to a fresh agent session
A new session starts in the same repository. Using --slug to target the project, the agent loads the latest snapshot and says: "We were diagnosing a database connection timeout; the next action was to check pool size." No manual context copying is needed.
Selecting an earlier checkpoint
After the team tries a wrong branch of investigation, the user runs /dbs-restore 2 to return to a specific prior state. The skill numbers snapshots by filename order, making rollback explicit and repeatable.
Add it to your agent workflow
Install with:
npx skills add Pluviobyte/rnskill --skill dbs-restore
Then, in your agent instructions: if the user says "continue from last time" or triggers /dbs-restore, run the skill and display the restored state before proposing next steps. Pair it with dbs-save after meaningful milestones so the snapshot is always fresh.
Compare before adopting
Before depending on dbs-restore, check how it behaves when no snapshot exists, and whether it validates --slug input. Look at commit history and issue responses to judge maintenance. Compare it with alternatives: manual session notes, passing conversation summaries inside prompts, or other state-preservation extensions. The real workflow question is whether you already use dbs-save or want a simple, local, agent-readable memory for diagnostic work.
Why it is worth tracking
The skill has strong community momentum, with 1.4k+ stars reflecting demand for persistent agent memory. Stars alone do not prove maintenance, so watch for updates around snapshot compatibility and CLI integration. If you are building agents that debug across sessions, dbs-restore is a useful pattern: small, local, and narrowly scoped. The OpenAgentSkill listing at https://www.openagentskill.com/skills/pluviobyte-dbs-restore tracks version history and related skills if you want to monitor it.
Featured Skill
dbs-restore
Skill by Pluviobyte