Works with the AI tools you already use
Root Cause Analysis Assistant
Most debugging with an AI turns into guess-and-check: it proposes a fix, you try it, it proposes another, and three rounds later the real cause is still untouched.
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See it in action
You say
I'm getting a NullPointerException in UserService.java:142 after today's deploy. It only happens for new signups. Here is the stack trace and the diff for the user creation logic.
Your agent does
What happened
NPE at UserService.java:142 during profile lookup. Scope is limited to new signups since today's deploy, specifically when Address records are not yet persisted.
Most likely root cause
The new ProfileMapper assumes User.getAddress() is non-null, but your diff shows the registration flow now delays address creation until onboarding.
Next step
Check if user.getAddress() is null at line 142. Fix by adding an optional check or reverting the mapper's dependency on the address object during initial signup.
What you get
About this skill
Most debugging with an AI turns into guess-and-check: it proposes a fix, you try it, it proposes another, and three rounds later the real cause is still untouched. Systematic debugging is a discipline. Root Cause Analysis Assistant runs it on your error. Give it the symptom, the stack trace, the logs, the scope (always or intermittent, one environment or all), and what recently changed, and it reconstructs what actually happened — reading the trace to the real origin, not just the top frame — separates the symptom location from where the bad state originated, forms ranked hypotheses using the common failure patterns (a recent change, a null from upstream, an edge input, an environment or config difference, a race, an external dependency, a wrong assumption about the data), and recommends the single cheapest diagnostic that eliminates the most possibilities rather than a shotgun of speculative fixes. It names the most likely root cause with the evidence, gives the fix and how to confirm it addresses the cause rather than silencing the symptom, and offers a fallback hypothesis if the top one is wrong. The download includes three reference files: the diagnosis worksheet, a common-root-cause pattern guide, and a worked sample diagnosis. It reasons from what you provide — it doesn't run your code, reproduce the bug, or access your system, so its diagnosis is a ranked hypothesis to verify. Works with Claude Code, Cursor, Codex CLI, Gemini CLI, and any SKILL.md agent.
How to install
Drop the file into your AI Agent. Works with Claude, Cursor, ChatGPT, and 20+ more.
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Creator
PubsProToolkit builds rigor-first skills for AI agents — they write your docs and content properly, then adversarially review them to catch what's wrong before it ships. The result: cleaner output and a hard quality gate in one toolkit. Built by a CMPP-certified, PhD medical writer who brings regulated-industry standards to developer docs, content, compliance, and research integrity.
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