troubleshoot

Diagnose and repair persistent software and infrastructure failures through causal investigation.

7|5|Updated Jul 22, 2025
One-click install
npx skills add https://github.com/nebius/nebius-ps-services --skill troubleshoot-nebius
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: troubleshoot
Source: https://github.com/nebius/nebius-ps-services/tree/main/skills/troubleshoot
Command: npx skills add https://github.com/nebius/nebius-ps-services --skill troubleshoot-nebius

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve? It resolves difficult, intermittent, or cross-layer software and infrastructure failures that resist routine fixes by proving the causal mechanism before applying the smallest durable repair. ## Core Features & Use Cases - Causal Investigation Workflow: Follows a structured state machine from intake through discovery, hypothesis testing, localization, proof, remediation, and verified reporting. - Evidence-Gated Completion: Maintains component verification matrices, incident timelines, and layered log ledgers so conclusions rest on evidence rather than correlation. - Bounded Remediation Budgets: Enforces attempt and time limits with anti-thrash gates requiring new evidence and new hypotheses before each retry. - Use Case: A Kubernetes workload fails only in production after a rollout. The skill preserves evidence, compares the deployment against vendor architecture, tests discriminating hypotheses, proves the earliest divergence, applies an owner-correct fix, and verifies it with the original reproducer. ## Quick Start Ask the agent to troubleshoot a persistent production failure by describing the expected behavior, the observed error, and the affected service or host.

Frequently Asked Questions about troubleshoot

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I troubleshoot an intermittent production failure?

Preserve evidence first, build a failure contract, then run hypothesis-driven experiments with bounded commands. The workflow localizes the earliest divergence, proves the causal chain, and only then applies and verifies a repair at the narrowest boundary.

What is the difference between mitigation and root cause in incident response?

A restart, rollback, failover, or cache clear can mitigate impact but does not prove why the failure occurred. Root cause requires a trigger-to-invariant-to-symptom causal chain, a counterfactual, and elimination of alternatives.

Can this skill make changes to production systems?

Production and unconfirmed environments remain read-only until the user explicitly authorizes the exact live action. Confirmed non-production targets may receive bounded, reversible changes with an identified target and rollback path.

When should I not use a causal troubleshooting workflow?

Skip it for known mechanical fixes, routine feature work, syntax errors, formatting, lint, and straightforward dependency installation. Use dedicated skills for code review, security assessment, or domain-specific Terraform, Helm, and cloud implementation.

Why does troubleshooting stop after several failed fix attempts?

A remediation budget limits each blocker to five attempts and 120 active minutes by default. Every retry requires newly acquired evidence and a genuinely new falsifiable hypothesis; when the budget is exhausted the skill reports instead of patching speculatively.