---
name: vercel-advanced-troubleshooting-ca38437c36b0
description: |
  Execute apply Vercel advanced debugging techniques for hard-to-diagnose issues.
  Use when standard troubleshooting fails, investigating complex race conditions,
  or preparing evidence bundles for Vercel support escalation.
  Trigger with phrases like "vercel hard bug", "vercel mystery error",
  "vercel impossible to debug", "difficult vercel issue", "vercel deep debug".
allowed-tools: Read, Grep, Bash(kubectl:*), Bash(curl:*), Bash(tcpdump:*)
version: 1.0.0
license: MIT
author: Jeremy Longshore <jeremy@intentsolutions.io>
---

# Vercel Advanced Troubleshooting

## Prerequisites
- Access to production logs and metrics
- kubectl access to clusters
- Network capture tools available
- Understanding of distributed tracing

## Instructions

### Step 1: Collect Evidence Bundle
Run the comprehensive debug script to gather all relevant data.

### Step 2: Systematic Isolation
Test each layer independently to identify the failure point.

### Step 3: Create Minimal Reproduction
Strip down to the simplest failing case.

### Step 4: Escalate with Evidence
Use the support template with all collected evidence.

## Output
- Comprehensive debug bundle collected
- Failure layer identified
- Minimal reproduction created
- Support escalation submitted

## Error Handling

See `{baseDir}/references/errors.md` for comprehensive error handling.

## Examples

See `{baseDir}/references/examples.md` for detailed examples.

## Resources
- [Vercel Support Portal](https://support.vercel.com)
- [Vercel Status Page](https://www.vercel-status.com)


---
Source attribution: Dicklesworthstone
Original project: https://github.com/Dicklesworthstone/pi_agent_rust/blob/f28fc46ee0db8e710d95b8b55592cd38d60f2b26/tests/ext_conformance/artifacts/plugins-community/plugins/saas-packs/vercel-pack/skills/vercel-advanced-troubleshooting/SKILL.md
License: MIT
License information: https://opensource.org/license/mit
Original upstream instructions; downloaded from Mega AI Hub.

## Upstream license notice

MIT License

Copyright (c) 2025 Jeremy Longshore

Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.



# Mega AI Hub resource metadata

Creator / publisher: Dicklesworthstone
Original project: https://github.com/Dicklesworthstone/pi_agent_rust/blob/f28fc46ee0db8e710d95b8b55592cd38d60f2b26/tests/ext_conformance/artifacts/plugins-community/plugins/saas-packs/vercel-pack/skills/vercel-advanced-troubleshooting/SKILL.md
Attribution basis: Source repository record

Fields of work: Development & Engineering
Roles: Backend Developer, DevOps / SRE, Frontend Developer
Specialties: Backend, DevOps
Tools: Vercel
Country applicability: Country not specified
Classification basis: Source catalog labels
Instruction SHA-256: 251e0cfd4f7ac9e0763acd091f2be16973bf177a85754b02755872795b5d0dbb