Systematic Debugging
Walks Claude through a structured root-cause process instead of guessing at fixes.
Before & after
Same prompt, same agent — the only difference is the skill.
That's a frustrating issue. You've probably got some kind of race condition or a flaky dependency. Maybe the database is slow on Mondays? Or there's a rate limiter that kicks in? The obvious thing to check would be your logs—see if there's a pattern in what requests are hitting 403. You could add more logging around the authentication check and the permission validation. It might be something with how you're validating tokens or checking user roles. Have you looked at your infrastructure monitoring to see if there's a resource constraint on Mondays? Let me know what your auth flow looks like and I can suggest some things to try.
REPRODUCE PHASE → Set trap: Hit sign-up endpoint 1000 times. Mondays: 127 return 403 (12.7%). Other days: 3 return 403 (0.3%). → Confirm: Error happens ONLY on sign-up; login + update endpoints unaffected. Code identical in both; sign-up runs faster, hits DB less. → Isolate variable: Hypothesis—Monday batch job (user-import) holds connection pool lock 08:00-11:00 UTC. ISO LATE PHASE → Turn off Monday import job. Run 1000 sign-ups at 09:00 Monday. Result: 0% failure. Hypothesis confirmed. → Check: Connection pool exhaustion. Pool size: 10. Import job: 12 connections at 08:00. Sign-up needs 2. → Why permission validator? Auth code references stale connection (closed by timeout). Fallback to 403 instead of retry. TEST-THEN-PATCH ONLY → Don't rewrite connection pooling yet. Patch: isolate import job to named pool (pool-import) sized 5. Leave sign-up pool at 10. → Verify: Run 1000 sign-ups + import job simultaneously Monday 08:00. Zero 403s. Other-day tests unchanged. → Commit: 4-line change to pool config. No retry logic, no middleware changes.
About this skill
name: systematic-debugging description: Use when Walks Claude through a structured root-cause process instead of guessing at fixes.
Systematic Debugging
Systematic Debugging, from gives Claude a repeatable debugging framework: reproduce, isolate, form a hypothesis, test it, and only then patch, which cuts down on the guess-and-check fixes AI coding tools tend to produce.
What you get
- A structured reproduce-isolate-hypothesize-fix debugging framework.
Customize your output
- Adjust the framework for a different language or stack.
Example output
A root-caused fix along with the reasoning trail that led to it.
Best for
Developers frustrated by AI tools that patch symptoms instead of causes.
SKILL.md preview
---
name: systematic-debugging
description: Use this skill when a bug needs a structured root-cause investigation instead of trial-and-error patching.
version: 1.0.0
category: Development / Debugging
author: AgentVolt
license: proprietary
tags:
- development
- debugging
- standard
---
# Systematic Debugging
Walks through reproduce, isolate, hypothesize, test, and patch in order, replacing guess-and-check fixes with a traceable root-cause process.
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