agentleFS
VercelKnown publishervercel-labs/eve-sre-agent-template/agent/skills/on-call-handoff/SKILL.md

on-call-handoff

Skill13 starsChanged 3 months agoMITView on GitHub

Summarize a personal or team on-call shift from supplied context, Slack, Datadog, GitHub, and Vercel. Activate when asked for an on-call handoff, shift summary, rotation handoff, what to tell the next on-call, or leaving on-call.

The file

We split this skill into the rules it gives an agent

4 rules. About 0 are common, 4 are distinctive, and 0 are very specific to this project.

  • ≈0

    Common · estimate

    Many files like this have a rule of this kind.

  • ≈4

    Distinctive · estimate

    This author's own choices. Worth a look.

  • 0

    Very specific

    Tied to their project's names, files or tools. Probably skip.

  • Common
  • Distinctive
  • Very specific
  1. Distinctive:

    Create an accurate handoff that covers notable incidents, pages, operational changes, and open actions.

    line 8
  2. Distinctive:

    Use the supplied webhook metadata first.

    line 18
  3. Distinctive:

    Do not require an external incident-management connection.

    line 20
  4. Distinctive:

    Do not re-investigate alerts/incidents from scratch

    line 40

≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

Keep what fits and drop the rest. Your version, ready for your agents.
Files
SKILL.md

On-call handoff

Create an accurate handoff that covers notable incidents, pages, operational changes, and open actions. Do not investigate open incidents in depth.

Procedure

1. Set the scope

Identify the team, shift start, shift end, and next responder from the request or conversation. Ask one targeted question only when a missing value blocks the handoff.

2. Collect shift context

Use the supplied webhook metadata first. Read Slack only when the request points to relevant channels or threads. Use Datadog for page, monitor, or service-health facts. Use GitHub when a deploy, pull request, or code change matters.

Do not require an external incident-management connection. State when the available sources cannot confirm a count, owner, schedule, or follow-up.

3. Select notable events

Include high-severity events, recurring pages, ongoing impact, and events with useful operational lessons. Keep low-signal events in a short count or omit them.

4. Identify changes and open actions

Record mitigations, deploys, alert changes, and other concrete improvements made during the shift. List unresolved actions with an owner and due date only when the evidence provides them.

5. Write the handoff

Return the handoff in chat. Use references/template.md as the structure. Mark missing data as "Could not confirm from available sources."

Result

The handoff doc detailed in step 5.

Boundaries

  • Do not re-investigate alerts/incidents from scratch

Download now (ZIP)

Does it work?

Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.

No reviews yet

People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.

  • It worked
  • Partly
  • It didn't
What did you use it for? e.g. Reviewing pull requests in a Rails app

Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.

Your trail

Files you open will collect here, so you can find them again.

Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.

Now do this for your own.

Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.