Coordinate specialized AI agents to diagnose bugs through phased investigation.
npx skills add https://github.com/nashgao/mqtt-client --skill investigate-nashgao
Please help me install this Agent Skill. Skill: Investigate Source: https://github.com/nashgao/mqtt-client/tree/main/.claude/skills/investigate Command: npx skills add https://github.com/nashgao/mqtt-client --skill investigate-nashgao
This Skill automates the process of diagnosing and understanding complex problems, bugs, or system issues by coordinating specialized AI agents.
Use the investigate skill to find the root cause of the application crashing when uploading large files.
High-intent search queries and answers about installing and using this skill.
Systematic problem investigation coordinates specialized AI agents to conduct evidence-based root cause analysis. It follows a structured 5-phase process, deploying agents to analyze issues from multiple angles and synthesize evidence to identify the underlying problem.
Parallel investigation deploys multiple specialized agents to analyze intermittent system issues from different angles simultaneously. This approach accelerates evidence synthesis by conducting infrastructure context discovery and problem investigation concurrently across the affected system.
Yes, you can use AI agents for incident response and system analysis on complex bugs. The investigation process supports standard, critical, and deep modes, orchestrating research to assess problems, discover infrastructure context, and develop solutions.
Evidence synthesis aggregates findings from parallel investigation agents to form a coherent root cause analysis. It combines multi-angle research and infrastructure context discovery to transition from initial assessment to solution development for the system problem.
Deep investigation mode should be used for root cause analysis when standard assessment is insufficient. It enables extended multi-agent research and phased evidence synthesis to resolve complex, deeply embedded system issues that require thorough infrastructure context discovery.
incidentfoxCorrelate logs, metrics, and traces across multiple backends to identify root causes.
leonardoteodorooGenerate blameless postmortems with root cause analysis, timelines, and action items.
patrobCoordinate three parallel research agents and validate findings against the codebase.
saeed-vayghanDiagnose production incidents and coordinate remediation to reduce MTTR.
