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investigating-logs

Skill

Investigate logs in a PostHog project: verify a service or deployment is healthy, explain an error spike, triage an incident, or understand what a log stream is saying. Use when the user asks to "check the logs", asks whether a service, deploy, release, or change is working or broke anything, asks w

0Debugging

Install

git clone https://github.com/PostHog/ai-plugin.git ~/.claude/skills/investigating-logs

What is investigating-logs?

Investigate logs in a PostHog project: verify a service or deployment is healthy, explain an error spike, triage an incident, or understand what a log stream is saying. Use when the user asks to "check the logs", asks whether a service, deploy, release, or change is working or broke anything, asks why errors are up or what changed, or wants the root cause of failures visible in logs. Routes the logs MCP tools (services overview, pattern mining, before/after pattern diffing, bucketed counts, facets, raw rows) so investigations start from summaries instead of raw rows or hand-written SQL over the logs table.

What this can do

Capabilities declared in this component's own frontmatter — not inferred.

Inherit all session tools

Declares no tool restrictions — inherits every session tool

~153 tokens of context used while enabled, before you invoke anything

Documentation

README · ~5 min read

Investigating logs

Investigation is a narrowing problem: summarize before you read. One posthog:logs-patterns call compresses millions of lines into at most 200 templates, and one posthog:logs-patterns-diff call answers "what is different about now vs. before" directly. Raw rows (posthog:query-logs) are the last step of an investigation, never the first.

When to use this skill

  • "Check the logs" / "is service X healthy?" / "did my deploy (or model bump, config change, migration) break anything?"
  • "Why are errors up?" / "explain this spike" / incident triage — "what changed?"
  • "What is this service logging?" — orienting in an unfamiliar or noisy stream.
  • Finding the log evidence for a failure reported elsewhere (an alert, an error-tracking issue, a user complaint).

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