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Grok Bot+18 agentsRoot Cause Analysis Assistant Skill
Systematic root cause analysis to isolate bugs and build evidence-driven fixes without guess-and-check cycles.
$19.99
Root Cause Analysis Assistant Skill
Example session with this skill installed
My React app is crashing with 'TypeError: Cannot read properties of undefined (reading 'map')' when I click the 'Refresh' button, but only on the staging environment. Here is the component code.
- Read your context and instructions
- Compiled the root cause analysis
I have analyzed the component code and the error signature provided. The issue appears to be related to an unhandled state transition during the refresh fetch.
Root Cause Analysis Report
| Category | Details |
|---|---|
| Observed Failure | TypeError in DataList.js during .map() call. Expected an array, received undefined. Occurs only on Staging. |
| Evidence Reviewed | Component source code for DataList, useEffect hook logic, and the provided stack trace. |
| Ranked Hypotheses | 1. Staging API Delay (High Confidence): Refresh sets data to null but the loading state doesn't block the render. <br> 2. Environment Variable Mismatch (Medium): Staging API returns a different JSON structure than Local. |
| Next Diagnostic Step | Check the Network tab in Staging DevTools. Confirm if the API response is an object {}, an array [], or if the key name differs from your local mock. |
| Likely Root Cause | The refresh function clears the local state before the fetch completes, and the component lacks a null-check guard for the items variable before mapping. |
| Fix Recommendation | Implement a logical AND (&&) or optional chaining before the .map() call, and ensure the initial state matches the expected API return type. |
Recommended Patch
// DataList.js
// Before: items.map(item => ...)
// After:
{items && Array.isArray(items) ? (
items.map(item => <ListItem key={item.id} data={item} />)
) : (
<EmptyState />
)}
Next steps
- Verify the Staging API response schema matches the
datakey expected by the frontend. - Apply the null-guard patch to prevent the crash during network latency.
- Add a unit test specifically for the
loadingstate transition.
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About this skill
Stop the cycle of speculative fixes and guess-and-check debugging. This skill provides a systematic framework for Root Cause Analysis (RCA), helping engineers isolate the exact point of failure before writing a single line of code. It moves beyond "it works on my machine" by forcing a rigorous evaluation of symptoms, logs, and stack traces to build competing hypotheses.
What it does
- Precision Failure Definition isolates facts from assumptions to define the exact scope of the bug.
- Causal Timelines map inputs, state changes, and exceptions to find where behavior first diverges from expectations.
- Hypothesis Ranking generates plausible causes with specific evidence requirements to support or disprove them.
- Discriminating Tests suggests the smallest possible experiment to eliminate multiple hypotheses at once.
- Causal Chain Tracing follows the failure across application logic, databases, network layers, and concurrency issues.
How it works
- Input Evidence: Provide logs, stack traces, reproduction steps, or recent code changes.
- Analysis Phase: The agent builds a ranked list of potential causes and identifies evidence gaps.
- Diagnostic Strategy: You receive a specific experiment or log inspection task to narrow the field.
- Resolution Path: Once the cause is likely, the agent provides an evidence-linked fix and a verification plan.
Frameworks & tools
Language-agnostic. Works with any stack including distributed systems, microservices, frontend applications, and database-heavy environments.
Why this beats prompting it yourself
Generic prompts often jump straight to suggesting code fixes that treat symptoms rather than causes. This skill enforces a structured RCA workflow that prevents premature anchoring and ensures fixes are justified by evidence, reducing regression risks.
Use cases
- Production Incidents: Quickly identifying the root cause of service outages or performance degradation.
- Intermittent Bugs: Isolating race conditions or environment-specific failures that are hard to reproduce.
- Regression Analysis: Determining which specific change in a recent deployment triggered a failure.
- Complex Debugging: Tracing failures that span across multiple services or asynchronous boundaries.
Known limitations
Does not execute code or access live environments directly. Relies entirely on the artifacts, logs, and code snippets provided by the user.
Requires user-provided logs or code to function. Cannot directly execute commands or access private production environments.
How to use
- 1
Connect your agent to the Agensi MCP
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- 2
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- 3
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