community-automations/log-summarizer

DevOps & Code

PublicClaude subagent

Log Summarizer

Nobody reads raw log streams until something is already on fire. This automation watches your error logs every hour and turns thousands of lines into a short, readable brief.

sonnet3 daysDatadogSentryOpenAISlack
ClaudeClaude
ROI for
README.md

Why this subagent

Nobody reads raw log streams until something is already on fire. This automation watches your error logs every hour and turns thousands of lines into a short, readable brief.

It groups repeated stack traces, counts how often each fault hit, and notes when it first showed up. You get a plain-language summary in Slack every hour, plus a stored history you can scan for slow-building trends.

How it runs

    • Read

      Used at step 01 to kick off the pipeline.

    • Write

      Used at step 01 to kick off the pipeline.

    • WebFetch

      Used at step 01 to kick off the pipeline.

    • WebSearch

      Used at step 01 to kick off the pipeline.

Sample output

json
// Sample output
// (generated when the pipeline finishes)

Read the grouped error logs and return a Slack-ready summary: top 5 issues by count, each with service name, occurrence count, first-seen timestamp, and a one-line probable cause.

Unlock the rest

The full agent definition, install snippet, and starter task are gated for community members.

Members get the full `.md` agent file, the npm / pnpm install one-liners, a starter prompt that we've tuned against real runs, and the open-source repo when this automation ships there. One email, magic link, done.