How does the evidence collection framework work?

The skill provides an automated script that gathers logs, Prometheus metrics, network PCAPs, and configuration states into a single compressed bundle for analysis or escalation.

What infrastructure access is required?

To use the full suite of tools, you typically need kubectl access to your clusters, network capture tools like tcpdump, and access to production logs and metrics.

Can this skill help with vendor support tickets?

Yes, it includes a standardized Support Escalation Template to ensure you provide Clay's support team with all the technical evidence required for a P1 or P2 issue.

What kind of Clay issues can this skill help debug?

It is specifically designed for 'hard-to-diagnose' problems such as race conditions, intermittent API errors, memory leaks, and complex networking or TLS handshake issues.

Clay Advanced Troubleshooting

Name: Clay Advanced Troubleshooting
Author: Brmbobo

byBrmbobo

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Analytics & Monitoring

Diagnoses and resolves complex issues in Clay integrations using deep debugging techniques and automated evidence collection.

This skill provides a comprehensive framework for identifying and fixing hard-to-diagnose issues within Clay environments. It moves beyond standard logging by offering automated scripts for gathering comprehensive debug bundles—including kubectl logs, metrics, and network captures—alongside systematic layer-by-layer testing to isolate failures. Whether you are investigating intermittent API failures, detecting memory leaks, or preparing a detailed evidence package for Clay support escalation, this skill ensures a rigorous, data-driven approach to troubleshooting distributed systems and SaaS integrations.

Key Features

01Standardized support escalation templates for faster vendor resolution

021 GitHub stars

03Automated evidence bundle collection including logs, metrics, and network PCAPs

04Timing analysis tools to identify p95 latency issues and bottlenecks

05Systematic layer-by-layer diagnostics for network, DNS, TLS, and Auth

06Resource monitoring and race condition detection for Clay client usage

Use Cases

01Investigating 'impossible to debug' intermittent errors in production Clay environments

02Analyzing performance bottlenecks and memory leaks in high-scale SaaS integrations

03Generating comprehensive diagnostic packages for escalation to Clay support teams

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add brmbobo/web2podcast clay-advanced-troubleshooting

For use in Claude.ai and ChatGPT

Download Skill