Skip to content
TrustedSkillsbeta
Back to all skills

Root Cause Analysis

Checked
aj-geddes·vlatest·testing·MIT

Identifies underlying issues driving problems by analyzing data, logs, and system behavior to suggest corrective actions.

Repository

Install on your platform

Showing Claude Code. One command installs this skill into any of the agents below.

  1. 1

    Run this in your project

    terminal
    $ npx skills add aj-geddes/useful-ai-prompts --skill root-cause-analysis -a claude-code

  2. Uses the open-source skills CLI and needs Node.js. Add -g to install it for your user instead of this project.

What we know about this skill

Publisher

aj-geddes

Taken from the source listing. We haven't verified who controls this account.

Install target

Live repository

Not pinned. Installing fetches whatever the repository holds at the time you run the command.

No human has reviewed this code. The checks below are a static scan of the files at one commit — nobody has run this skill or judged whether it works. A skill runs with whatever access you give your agent, so read the source before you install it.

Automated safety checks

scanned

This skill passed all 6 checks. We read its files at one commit and looked for the things that make a skill dangerous to run — not for whether it works.

  • Declares what it does: passed

    SKILL.md parses and declares a name and a description.

    SKILL.md exists, its frontmatter parses, and it declares a name and a description.

  • No undeclared network calls: passed

    Makes no network calls.

    Every host the skill dials — from its scripts, its config endpoints or the commands it tells the agent to run — is either well-known package and API infrastructure or declared in its own frontmatter. Links in documentation are not counted.

  • No obfuscated payloads: passed

    No encoded or obfuscated payloads.

    No base64, hex or compressed blob is decoded and then executed, and no encoded shell commands.

  • No credential access: passed

    Reads no keys, tokens, keychains or credential files.

    Neither the code nor the SKILL.md instructions read SSH keys, cloud credentials, keychains, token stores, browser cookie databases or dotfiles that hold secrets.

  • No pipe-to-shell installers: passed

    No pipe-to-shell or download-and-run installers.

    No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.

  • Pinned to a commit: passed

    Scanned aj-geddes/useful-ai-prompts at 3f5182cfd7.

    The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.

Commit
3f5182cfd7
Manifest
skills/root-cause-analysis/SKILL.md
Scanned
8 files, 339 lines
This is a static scan, not a review. It reads the skill's files; it does not run them, and it cannot tell you whether the skill is any good or whether the code does what its description says. A skill runs with whatever access you give your agent.
What each check looks for →

About this skill

What it does

This skill enables AI agents to systematically identify the underlying causes of problems rather than just addressing surface-level symptoms. It guides the agent through a structured inquiry process to uncover root factors driving specific issues or failures.

When to use it

  • Diagnosing recurring bugs in software systems where initial fixes fail to resolve the issue permanently.
  • Analyzing project delays to find the fundamental workflow bottlenecks instead of blaming individual tasks.
  • Investigating customer churn patterns to discover the core dissatisfaction drivers behind the data.

Key capabilities

  • Structured questioning to drill down from symptoms to origins.
  • Logical deduction to connect disparate pieces of evidence.
  • Differentiation between correlation and causation in problem scenarios.

Example prompts

  • "Analyze why our Q3 sales targets were missed by identifying the root causes rather than just listing excuses."
  • "Use a step-by-step approach to find the fundamental reason for the recent increase in server latency."
  • "Break down this customer complaint log to reveal the underlying systemic issues causing repeated dissatisfaction."

Tips & gotchas

Ensure you provide sufficient context and data points about the problem before asking for analysis, as the skill relies on available information to deduce accurate causes. Avoid using this for problems with no clear logical chain of events or purely random occurrences.