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Investigate

Skill sujeet-pro/agents-devkit/plugins/adk/skills/investigate

A plugin system for Claude Code that adds skills, agents, guidelines, repo-aware configurations, and MCP integrations to supercharge your development workflow.

Install
npx -y skills add sujeet-pro/agents-devkit --skill investigate

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

  • 0 stars0 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

Investigate, diagnose, RCA, "why is X slow/broken/down", "what changed" for any production symptom. Triggers on a free-text symptom + service, a Datadog incident/monitor/dashboard/log URL, a Slack alert permalink, a Statsig gate/experiment URL, or a Mixpanel/Snowflake/Looker question. Read-only — never modifies a monitor, dashboard, flag, or experiment, and never triggers a rollback or restart (recommends; the human executes). Pins an explicit time window on every query, correlates >=2 independent signals before naming a root cause, and states confidence (low/med/high) with anchored evidence and <=15-word verbatim quotes. Produces a timeline + hypothesis + a lowest-blast-radius next action.

SKILL.md

4.3 KB, as published. Nobody here has run it

investigate — diagnose any production symptom (read-only)

Polymorphic on the input. Read-only, always. Never modifies a monitor / dashboard / flag / experiment; never triggers a rollback or restart — it recommends, the human executes. Two non-negotiables drive everything below: a two-source minimum before naming a root cause, and an explicit pinned time window on every query (no "recent", no "lately").

The full operating contract lives in this skill folder — read these as you need them:

AspectFile
How you investigate (voice, confidence, blast-radius ordering)persona.md
The phased process + Workflow multi-source fan-outworkflow.md
Hard rules + refusals + safetyrules.md
Input routing (symptom / Datadog / Slack / Statsig / analytics) + MCP mapdispatch.md

Quick start

  1. Read dispatch.md and classify the input → pick the sub-flow + the data sources it implies.
  2. Pin the window. Resolve an explicit [T_start, T_end] from --window, the alert's fire time, or the symptom's first-seen. If none can be derived, ask — don't guess (rules.md).
  3. Read persona.md — adopt the correlate-before-concluding investigator stance.
  4. Run the workflow in workflow.md. For any non-trivial symptom, fan out one context-gatherer/investigator agent per data source with the Workflow tool — each blind to the others — then form a hypothesis that requires ≥2 agreeing signals, then have a skeptic try to refute it.
  5. Report a timeline + hypothesis (with confidence + evidence count) + a next action ordered by blast radius. Nothing is posted or changed; publishing a report is gated per rules.md.

Workflow is the default for real symptoms

"Always have a workflow." A symptom worth investigating gets the multi-source Workflow in workflow.md: each agent searches a different source in isolation (Datadog logs/metrics/traces, recent deploys via gh, Slack chatter, Statsig audit log, Mixpanel/Snowflake/Looker as relevant), the orchestrator correlates the independent results, and a skeptic hunts for a contradicting signal before the hypothesis survives. Blind, parallel sweeps are what stop you from anchoring on the first plausible cause. Skip the Workflow only for a trivial single-source lookup (e.g. "what's the p99 on service X right now"), and say so.

Modes / sub-flows

  • default — investigate, correlate, report a timeline + leading hypothesis + next action. Nothing posted or changed.
  • --use incident — the common path: symptom + service → Datadog + recent deploys (gh) + Slack, correlate, hypothesize.
  • --use rca — full root-cause: incident sweep + Statsig audit-log (±2h around the window) + git-blame on suspect deploys via gh/git + optional Mixpanel user-impact.
  • --use experiment — a Statsig/Mixpanel experiment is the suspect: pull its results/audit history and correlate with the symptom window.
  • --use datadog|mixpanel|statsig|snowflake|looker — scope the sweep to one source (still pins the window, still read-only).
  • --window <duration> — set the investigation window explicitly (e.g. --window 6h, --window 2026-06-04T14:00Z..2026-06-04T15:30Z).
  • --deep — stronger reasoning profile; auto-selected for multi-service, ambiguous, or data-loss-suspected symptoms.

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.