axodus-debuggingDiagnose failures using reproduce → isolate → fix → verify workflow.
Install via ClawdBot CLI:
clawdbot install mzfshark/axodus-debuggingGrade Limited — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Generated May 21, 2026
CI pipeline detects failing tests in a Red Hat deployment. The debugger skill systematically reproduces the failure, isolates the smallest failing unit, and identifies root cause (e.g., API version mismatch). Fix is applied and verified, reducing manual debugging time by 70%.
A critical service crashes with a null pointer exception in production. Using logs and reproduction steps, the skill localizes the issue to a missing null check after a recent code change. The fix is deployed and verified with regression tests, ensuring no recurrence.
A Red Hat-based application experiences 30% slower response times after an update. The skill reproduces the performance issue, isolates it to a new database query, and proposes an optimized index or query rewrite. Verification shows restored performance without side effects.
A custom Red Hat deployment fails to start due to a misconfigured environment variable. The skill uses the provided environment object to reproduce the error, identifies the incorrect variable, and corrects it. Verified by successful startup and same-configuration tests.
Offer automated debugging for CI/CD pipelines on a per-incident or subscription basis. Teams submit symptoms and logs, receive structured root cause analysis and fixes.
Integrate the debugger skill into existing Site Reliability Engineering (SRE) tools. Provide as an add-on for platforms like Red Hat OpenShift or Ansible, charging per CPU core or cluster.
Package the skill with other developer tools (code review, testing) as a suite. Offer to enterprises to reduce time-to-resolve production issues, with tiered pricing based on number of developers.
💬 Integration Tip
Integrate with your CI/CD pipeline by capturing failing test output and logs as inputs; the skill outputs structured data that can feed into tracking systems like Jira.
Scored May 21, 2026
Guide for creating effective skills. This skill should be used when users want to create a new skill (or update an existing skill) that extends Claude's capabilities with specialized knowledge, workflows, or tool integrations.
Use the @steipete/oracle CLI to bundle a prompt plus the right files and get a second-model review (API or browser) for debugging, refactors, design checks, or cross-validation.
Use when starting any conversation - establishes how to find and use skills, requiring Skill tool invocation before ANY response including clarifying questions
This skill should be used ONLY when the user EXPLICITLY and UNAMBIGUOUSLY requests a Git repository commit-history analysis that produces aggregate collabora...
Spec-first, TDD, subagent-driven software development workflow. Use when: (1) building any new feature or app — triggers brainstorm → plan → subagent executi...
Best practices for Remotion - Video creation in React